default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCID31st CIKM 2022: Atlanta, GA, USA
- Mohammad Al Hasan, Li Xiong:
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, Atlanta, GA, USA, October 17-21, 2022. ACM 2022, ISBN 978-1-4503-9236-5
Keynote Talks
- Evgeniy Gabrilovich:
Implicit User-Generated Content in the Service of Public Health. 1 - Ling Liu:
Ensemble Learning Methods for Dirty Data. 2 - Divesh Srivastava, Tobias Bleifuß, Leon Bornemann, Dmitri V. Kalashnikov, Felix Naumann:
Exploring and Analyzing Change: The Janus Project. 3 - Jaime Teevan:
How Hybrid Work Will Make Work More Intelligent. 4
CIKM'22 Full Papers
- Mustafa Abdallah
, Ryan A. Rossi, Kanak Mahadik, Sungchul Kim, Handong Zhao, Saurabh Bagchi:
AutoForecast: Automatic Time-Series Forecasting Model Selection. 5-14 - Ahmad Ajalloeian, Seyed-Mohsen Moosavi-Dezfooli, Michalis Vlachos, Pascal Frossard:
On Smoothed Explanations: Quality and Robustness. 15-25 - Manal A. Alshehri, Xiangliang Zhang:
Generative Adversarial Zero-Shot Learning for Cold-Start News Recommendation. 26-36 - Hiba Arnaout, Simon Razniewski, Gerhard Weikum, Jeff Z. Pan:
UnCommonSense: Informative Negative Knowledge about Everyday Concepts. 37-46 - Jose A. Ayala-Romero, Péter Mernyei, Bichen Shi, Diego Mazón:
KRAF: A Flexible Advertising Framework using Knowledge Graph-Enriched Multi-Agent Reinforcement Learning. 47-56 - Runxue Bao, Bin Gu, Heng Huang:
An Accelerated Doubly Stochastic Gradient Method with Faster Explicit Model Identification. 57-66 - Xin Bi, Shining Zhang, Yu Zhang, Lei Hu, Wei Zhang, Wenjing Niu, Ye Yuan, Guoren Wang:
CASA-Net: A Context-Aware Correlation Convolutional Network for Scale-Adaptive Crack Detection. 67-76 - Koby Bibas, Oren Sar Shalom, Dietmar Jannach:
Collaborative Image Understanding. 77-87 - Le Binh, Rajat Tandon, Chingis Oinar, Jeffrey Liu, Uma Durairaj, Jiani Guo, Spencer Zahabizadeh, Sanjana Ilango, Jeremy Tang, Fred Morstatter, Simon S. Woo, Jelena Mirkovic:
Samba: Identifying Inappropriate Videos for Young Children on YouTube. 88-97 - Andreas Burgdorf, Alexander Paulus, André Pomp, Tobias Meisen:
DocSemMap 2.0: Semantic Labeling based on Textual Data Documentations Using Seq2Seq Context Learner. 98-107 - Xiaoyu Cai, Yao Fu, Hong Zhao, Weihao Jiang, Shiliang Pu:
Memory Graph with Message Rehearsal for Multi-Turn Dialogue Generation. 108-117 - Yinqiong Cai, Jiafeng Guo, Yixing Fan, Qingyao Ai, Ruqing Zhang, Xueqi Cheng:
Hard Negatives or False Negatives: Correcting Pooling Bias in Training Neural Ranking Models. 118-127 - Yuanying Cai, Chuheng Zhang, Wei Shen, Xiaonan He, Xuyun Zhang, Longbo Huang:
Imitation Learning to Outperform Demonstrators by Directly Extrapolating Demonstrations. 128-137 - Jiangxia Cao, Xin Cong, Jiawei Sheng, Tingwen Liu, Bin Wang:
Contrastive Cross-Domain Sequential Recommendation. 138-147 - Bing-Jyue Chen, De-Nian Yang:
User Recommendation in Social Metaverse with VR. 148-158 - Cen Chen, Tiandi Ye, Li Wang, Ming Gao:
Learning to Generalize in Heterogeneous Federated Networks. 159-168 - Hanxiong Chen, Yunqi Li, He Zhu, Yongfeng Zhang:
Learn Basic Skills and Reuse: Modularized Adaptive Neural Architecture Search (MANAS). 169-179 - Haonan Chen, Zhicheng Dou, Yutao Zhu, Zhao Cao, Xiaohua Cheng, Ji-Rong Wen:
Enhancing User Behavior Sequence Modeling by Generative Tasks for Session Search. 180-190 - Jiangui Chen, Ruqing Zhang, Jiafeng Guo, Yiqun Liu, Yixing Fan, Xueqi Cheng:
CorpusBrain: Pre-train a Generative Retrieval Model for Knowledge-Intensive Language Tasks. 191-200 - Jingfan Chen, Guanghui Zhu, Yifan Qi, Chunfeng Yuan, Yihua Huang:
Towards Self-supervised Learning on Graphs with Heterophily. 201-211 - Lihua Chen, Ning Yang, Philip S. Yu:
Time Lag Aware Sequential Recommendation. 212-221 - Runjin Chen, Tong Li, Yanyan Shen, Luyu Qiu, Kaidi Li, Caleb Chen Cao:
GCF-RD: A Graph-based Contrastive Framework for Semi-Supervised Learning on Relational Databases. 222-231 - Xuanlei Chen, Yan Zhao, Kai Zheng:
Task Publication Time Recommendation in Spatial Crowdsourcing. 232-241 - Yawen Chen, Yile Chen, Jian Chen, Zeyi Wen, Jin Huang:
Efficient Second-Order Optimization for Neural Networks with Kernel Machines. 242-251 - Ziheng Chen, Fabrizio Silvestri, Jia Wang, He Zhu, Hongshik Ahn, Gabriele Tolomei:
ReLAX: Reinforcement Learning Agent Explainer for Arbitrary Predictive Models. 252-261 - Zirui Chen, Xin Wang, Chenxu Wang, Jianxin Li:
Explainable Link Prediction in Knowledge Hypergraphs. 262-271 - Eunseong Choi, Sunkyung Lee, Minjin Choi, Hyeseon Ko, Young-In Song, Jongwuk Lee:
SpaDE: Improving Sparse Representations using a Dual Document Encoder for First-stage Retrieval. 272-282 - Yoonhyuk Choi, Jiho Choi, Taewook Ko, Hyungho Byun, Chong-Kwon Kim:
Finding Heterophilic Neighbors via Confidence-based Subgraph Matching for Semi-supervised Node Classification. 283-292 - Yoonhyuk Choi, Jiho Choi, Taewook Ko, Hyungho Byun, Chong-Kwon Kim:
Review-Based Domain Disentanglement without Duplicate Users or Contexts for Cross-Domain Recommendation. 293-303 - Hyeshin Chu, Joohee Kim, Seongouk Kim, Hongkyu Lim, Hyunwook Lee, Seungmin Jin, Jongeun Lee, Taehwan Kim, Sungahn Ko:
An Empirical Study on How People Perceive AI-generated Music. 304-314 - Robin Cugny, Julien Aligon, Max Chevalier, Geoffrey Roman-Jimenez, Olivier Teste:
AutoXAI: A Framework to Automatically Select the Most Adapted XAI Solution. 315-324 - Jian Cui, Kwanwoo Kim, Seung Ho Na, Seungwon Shin:
Meta-Path-based Fake News Detection Leveraging Multi-level Social Context Information. 325-334 - Yuanning Cui, Yuxin Wang, Zequn Sun, Wenqiang Liu, Yiqiao Jiang, Kexin Han, Wei Hu:
Inductive Knowledge Graph Reasoning for Multi-batch Emerging Entities. 335-344 - Qiangqiang Dai, Rong-Hua Li, Hongchao Qin, Meihao Liao, Guoren Wang:
Scaling Up Maximal k-plex Enumeration. 345-354 - Julien Delaunay, Luis Galárraga, Christine Largouët:
When Should We Use Linear Explanations? 355-364 - Liwei Deng, Yan Zhao, Zidan Fu, Hao Sun, Shuncheng Liu, Kai Zheng:
Efficient Trajectory Similarity Computation with Contrastive Learning. 365-374 - Chen-Lu Ding, Xin Luo, Xiao-Ming Wu, Yu-Wei Zhan, Rui Li, Hui Zhang, Xin-Shun Xu:
Weakly-Supervised Online Hashing with Refined Pseudo Tags. 375-385 - Xin Dong, Ruize Wu, Chao Xiong, Hai Li, Lei Cheng, Yong He, Shiyou Qian, Jian Cao, Linjian Mo:
GDOD: Effective Gradient Descent using Orthogonal Decomposition for Multi-Task Learning. 386-395 - Hanwen Du, Hui Shi, Pengpeng Zhao, Deqing Wang, Victor S. Sheng, Yanchi Liu, Guanfeng Liu, Lei Zhao:
Contrastive Learning with Bidirectional Transformers for Sequential Recommendation. 396-405 - Zhongjie Duan, Cen Chen, Dawei Cheng, Yuqi Liang, Weining Qian:
Optimal Action Space Search: An Effective Deep Reinforcement Learning Method for Algorithmic Trading. 406-415 - Vasisht Duddu, Antoine Boutet:
Inferring Sensitive Attributes from Model Explanations. 416-425 - Alexandre Duval, Fragkiskos D. Malliaros:
Higher-order Clustering and Pooling for Graph Neural Networks. 426-435 - Ahmed Roushdy Elkordy, Yahya H. Ezzeldin, Salman Avestimehr:
Federated K-Private Set Intersection. 436-445 - Guglielmo Faggioli, Nicola Ferro, Norbert Fuhr:
Detecting Significant Differences Between Information Retrieval Systems via Generalized Linear Models. 446-456 - Rui Fan, Erick Delage:
Risk-Aware Bid Optimization for Online Display Advertisement. 457-467 - Shuhui Fan, Shaojing Fu, Yuchuan Luo, Haoran Xu, Xuyun Zhang, Ming Xu:
Smart Contract Scams Detection with Topological Data Analysis on Account Interaction. 468-477 - Zekuan Fang, Fan Zhang, Ting Wang, Xiang Lian, Mingsong Chen:
MonitorLight: Reinforcement Learning-based Traffic Signal Control Using Mixed Pressure Monitoring. 478-487 - Junbo Fei, Weixin Zeng, Xiang Zhao, Xuanyi Li, Weidong Xiao:
Few-Shot Relational Triple Extraction with Perspective Transfer Network. 488-498 - Chunhui Feng, Zhicheng Pan, Junhua Fang, Jiajie Xu, Pengpeng Zhao, Lei Zhao:
Aries: Accurate Metric-based Representation Learning for Fast Top-k Trajectory Similarity Query. 499-508 - Jinjia Feng, Zhen Wang, Yaliang Li, Bolin Ding, Zhewei Wei, Hongteng Xu:
MGMAE: Molecular Representation Learning by Reconstructing Heterogeneous Graphs with A High Mask Ratio. 509-519 - Xinshun Feng, Herun Wan, Shangbin Feng, Hongrui Wang, Qinghua Zheng, Jun Zhou, Minnan Luo:
GraTO: Graph Neural Network Framework Tackling Over-smoothing with Neural Architecture Search. 520-529 - Congcong Fu, Hui Li, Jian Lou, Jiangtao Cui:
DP-HORUS: Differentially Private Hierarchical Count Histograms under Untrusted Server. 530-539 - Chongming Gao, Shijun Li, Wenqiang Lei, Jiawei Chen, Biao Li, Peng Jiang, Xiangnan He, Jiaxin Mao, Tat-Seng Chua:
KuaiRec: A Fully-observed Dataset and Insights for Evaluating Recommender Systems. 540-550 - Zhiqi Ge, Yuanyuan Guan, Ximing Li, Bo Fu:
Consistent, Balanced, and Overlapping Label Trees for Extreme Multi-label Learning. 551-560 - Pierre-Yves Genest, Pierre-Edouard Portier, Elöd Egyed-Zsigmond, Laurent-Walter Goix:
PromptORE - A Novel Approach Towards Fully Unsupervised Relation Extraction. 561-571 - Hao Geng, Deqing Wang, Fuzhen Zhuang, Xuehua Ming, Chenguang Du, Ting Jiang, Haolong Guo, Rui Liu:
Modeling Dynamic Heterogeneous Graph and Node Importance for Future Citation Prediction. 572-581 - Walter Gerych, Thomas Hartvigsen, Luke Buquicchio, Emmanuel Agu, Elke A. Rundensteiner:
Robust Recurrent Classifier Chains for Multi-Label Learning with Missing Labels. 582-591 - Daniel Glake, Fabian Panse, Ulfia Lenfers, Thomas Clemen, Norbert Ritter:
Spatio-temporal Trajectory Learning using Simulation Systems. 592-602 - Fengjiao Gong, Yuzhou Nie, Hongteng Xu:
Gromov-Wasserstein Multi-modal Alignment and Clustering. 603-613 - Kaiqi Gong, Xiao Song, Senzhang Wang, Songsong Liu, Yong Li:
ITSM-GCN: Informative Training Sample Mining for Graph Convolutional Network-based Collaborative Filtering. 614-623 - Jiayan Guo, Peiyan Zhang, Chaozhuo Li, Xing Xie, Yan Zhang, Sunghun Kim:
Evolutionary Preference Learning via Graph Nested GRU ODE for Session-based Recommendation. 624-634 - Qiuyu Guo, Xiang Zhao, Yang Fang, Shiyu Yang, Xuemin Lin, Dian Ouyang:
Learning Hypersphere for Few-shot Anomaly Detection on Attributed Networks. 635-645 - Shuai Guo, Yang Gu, Shijie Wen, Yuan Ma, Yiqiang Chen, Jiwei Wang, Chunyu Hu:
KiCi: A Knowledge Importance Based Class Incremental Learning Method for Wearable Activity Recognition. 646-655 - Xianjie Guo, Yujie Wang, Xiaoling Huang, Shuai Yang, Kui Yu:
Bootstrap-based Causal Structure Learning. 656-665 - Aparajita Haldar, Teddy Cunningham, Hakan Ferhatosmanoglu:
RAGUEL: Recourse-Aware Group Unfairness Elimination. 666-675 - Jinkun Han, Wei Li, Zhipeng Cai, Yingshu Li:
Multi-Aggregator Time-Warping Heterogeneous Graph Neural Network for Personalized Micro-Video Recommendation. 676-685 - A. S. M. Ahsan-Ul-Haque, Hongning Wang:
Rethinking Conversational Recommendations: Is Decision Tree All You Need? 686-695 - Thomas Hartvigsen, Walter Gerych, Jidapa Thadajarassiri, Xiangnan Kong, Elke A. Rundensteiner:
Stop&Hop: Early Classification of Irregular Time Series. 696-705 - Johannes Haug, Alexander Braun, Stefan Zürn, Gjergji Kasneci:
Change Detection for Local Explainability in Evolving Data Streams. 706-716 - Huarui He, Jie Wang, Yunfei Liu, Feng Wu:
Modeling Diverse Chemical Reactions for Single-step Retrosynthesis via Discrete Latent Variables. 717-726 - Duc Hoang, Haotao Wang, Handong Zhao, Ryan A. Rossi, Sungchul Kim, Kanak Mahadik, Zhangyang Wang:
AutoMARS: Searching to Compress Multi-Modality Recommendation Systems. 727-736 - Sebastian Hofstätter, Omar Khattab, Sophia Althammer, Mete Sertkan, Allan Hanbury:
Introducing Neural Bag of Whole-Words with ColBERTer: Contextualized Late Interactions using Enhanced Reduction. 737-747 - Seoyoung Hong, Heejoo Shin, Jeongwhan Choi, Noseong Park:
Prediction-based One-shot Dynamic Parking Pricing. 748-757 - Yu Hong, Zhixu Li, Jianfeng Qu, Jiaqing Liang, Yi Luo, Miyu Zhang, Yanghua Xiao, Wei Wang:
Can We Have Both Fish and Bear's Paw?: Improving Performance, Reliability, and both of them for Relation Extraction under Label Shift. 758-767 - Amin Hosseiny Marani, Joshua Levine, Eric P. S. Baumer:
One Rating to Rule Them All?: Evidence of Multidimensionality in Human Assessment of Topic Labeling Quality. 768-779 - Phillip Howard, Arden Ma, Vasudev Lal, Ana Paula Simões, Daniel Korat, Oren Pereg, Moshe Wasserblat, Gadi Singer:
Cross-Domain Aspect Extraction using Transformers Augmented with Knowledge Graphs. 780-790 - Yidan Hu, Yong Liu, Chunyan Miao, Yuan Miao:
Memory Bank Augmented Long-tail Sequential Recommendation. 791-801 - Sunghyun Hwang, Dong-Kyu Chae:
An Uncertainty-Aware Imputation Framework for Alleviating the Sparsity Problem in Collaborative Filtering. 802-811 - Dongmin Hyun, Chanyoung Park, Junsu Cho, Hwanjo Yu:
Beyond Learning from Next Item: Sequential Recommendation via Personalized Interest Sustainability. 812-821 - Nitisha Jain, Ralf Krestel:
Discovering Fine-Grained Semantics in Knowledge Graph Relations. 822-831 - Hyunsik Jeon, Jongjin Kim, Hoyoung Yoon, Jaeri Lee, U Kang:
Accurate Action Recommendation for Smart Home via Two-Level Encoders and Commonsense Knowledge. 832-841 - Hao Jiang, Yuntao Liu, Shengze Li, Jieyuan Zhang, Xinhai Xu, Donghong Liu:
Diverse Effective Relationship Exploration for Cooperative Multi-Agent Reinforcement Learning. 842-851 - Song Jiang, Yizhou Sun:
Estimating Causal Effects on Networked Observational Data via Representation Learning. 852-861 - Xuefeng Jiang, Sheng Sun, Yuwei Wang, Min Liu:
Towards Federated Learning against Noisy Labels via Local Self-Regularization. 862-873 - Jiarui Jin, Xianyu Chen, Weinan Zhang, Yuanbo Chen, Zaifan Jiang, Zekun Zhu, Zhewen Su, Yong Yu:
Multi-Scale User Behavior Network for Entire Space Multi-Task Learning. 874-883 - Xin Jin, Xia Sun, Jiacheng Chen, Richard F. E. Sutcliffe:
Extracting Drug-drug Interactions from Biomedical Texts using Knowledge Graph Embeddings and Multi-focal Loss. 884-893 - Baoyu Jing, Shengyu Feng, Yuejia Xiang, Xi Chen, Yu Chen, Hanghang Tong:
X-GOAL: Multiplex Heterogeneous Graph Prototypical Contrastive Learning. 894-904 - Quanliang Jing, Shuo Liu, Xinxin Fan, Jingwei Li, Di Yao, Baoli Wang, Jingping Bi:
Can Adversarial Training benefit Trajectory Representation?: An Investigation on Robustness for Trajectory Similarity Computation. 905-914 - Carl Johnell, Morteza Haghir Chehreghani:
Efficient Optimization of Dominant Set Clustering with Frank-Wolfe Algorithms. 915-924 - Endri Kacupaj, Kuldeep Singh, Maria Maleshkova, Jens Lehmann:
Contrastive Representation Learning for Conversational Question Answering over Knowledge Graphs. 925-934 - Yilin Kang, Yong Liu, Jian Li, Weiping Wang:
Sharper Utility Bounds for Differentially Private Models: Smooth and Non-smooth. 951-961 - Daejin Kim, Youngin Cho, Dongmin Kim, Cheonbok Park, Jaegul Choo:
Residual Correction in Real-Time Traffic Forecasting. 962-971 - Sangmook Kim, Wonyoung Shin, Soohyuk Jang, Hwanjun Song, Se-Young Yun:
FedRN: Exploiting k-Reliable Neighbors Towards Robust Federated Learning. 972-981 - Sunoh Kim, Taegil Ha, Kimin Yun, Jin Young Choi:
SWAG-Net: Semantic Word-Aware Graph Network for Temporal Video Grounding. 982-992 - Taeri Kim, Yeon-Chang Lee, Kijung Shin, Sang-Wook Kim:
MARIO: Modality-Aware Attention and Modality-Preserving Decoders for Multimedia Recommendation. 993-1002 - Kaiting Lai, Yinong Long, Bowen Wu, Ying Li, Baoxun Wang:
Semorph: A Morphology Semantic Enhanced Pre-trained Model for Chinese Spam Text Detection. 1003-1013 - Tinghao Lai, Yan Zhao, Weizhu Qian, Kai Zheng:
Loyalty-based Task Assignment in Spatial Crowdsourcing. 1014-1023 - Yuquan Le, Yuming Zhao, Meng Chen, Zhe Quan, Xiaodong He, Kenli Li:
Legal Charge Prediction via Bilinear Attention Network. 1024-1033 - Gwanghan Lee, Saebyeol Shin, Simon S. Woo:
Accelerating CNN via Dynamic Pattern-based Pruning Network. 1034-1043 - Hanbeen Lee, Jeongho Kim, Simon S. Woo:
Sliding Cross Entropy for Self-Knowledge Distillation. 1044-1053 - Namkyeong Lee, Dongmin Hyun, Junseok Lee, Chanyoung Park:
Relational Self-Supervised Learning on Graphs. 1054-1063 - Seonjae Lee, Myoung-Hoon Lee, Jun Moon:
Maximum Norm Minimization: A Single-Policy Multi-Objective Reinforcement Learning to Expansion of the Pareto Front. 1064-1073 - Chuanwen Li, Yu Gu, Jianzhong Qi, Ge Yu:
Parallel Skyline Processing Using Space Pruning on GPU. 1074-1083 - Fuxian Li, Huan Yan, Guangyin Jin, Yue Liu, Yong Li, Depeng Jin:
Automated Spatio-Temporal Synchronous Modeling with Multiple Graphs for Traffic Prediction. 1084-1093 - Guohui Li, Zhiqiang Guo, Jianjun Li, Chaoyang Wang:
MDGCF: Multi-Dependency Graph Collaborative Filtering with Neighborhood- and Homogeneous-level Dependencies. 1094-1103 - Huahang Li, Shuangyin Li, Yuncheng Jiang, Gansen Zhao:
CoPatE: A Novel Contrastive Learning Framework for Patent Embeddings. 1104-1113 - Jia Li, Yuyuan Zhao, Zhi Jin, Ge Li, Tao Shen, Zhengwei Tao, Chongyang Tao:
SK2: Integrating Implicit Sentiment Knowledge and Explicit Syntax Knowledge for Aspect-Based Sentiment Analysis. 1114-1123 - Jiacheng Li, Yannis Katsis, Tyler Baldwin, Ho-Cheol Kim, Andrew Bartko, Julian J. McAuley, Chun-Nan Hsu:
SPOT: Knowledge-Enhanced Language Representations for Information Extraction. 1124-1134 - Jingcheng Li, Lina Yao, Binghao Li, Xianzhi Wang, Claude Sammut:
Multi-agent Transformer Networks for Multimodal Human Activity Recognition. 1135-1145 - Junhui Li, Wensheng Gan, Yijie Gui, Yongdong Wu, Philip S. Yu:
Frequent Itemset Mining with Local Differential Privacy. 1146-1155 - Ke Li, Bin Guo, Siyuan Ren, Zhiwen Yu:
AdaDebunk: An Efficient and Reliable Deep State Space Model for Adaptive Fake News Early Detection. 1156-1165 - Mei Li, Xiangrui Cai, Linyu Li, Sihan Xu, Hua Ji:
Heterogeneous Graph Attention Network for Drug-Target Interaction Prediction. 1166-1176 - Ping Li, Xiaoyun Li, Gennady Samorodnitsky:
℘-MinHash Algorithm for Continuous Probability Measures: Theory and Application to Machine Learning. 1177-1187 - Ping Li, Weijie Zhao:
GCWSNet: Generalized Consistent Weighted Sampling for Scalable and Accurate Training of Neural Networks. 1188-1198 - Xinhang Li, Zhaopeng Qiu, Xiangyu Zhao, Zihao Wang, Yong Zhang, Chunxiao Xing, Xian Wu:
Gromov-Wasserstein Guided Representation Learning for Cross-Domain Recommendation. 1199-1208 - Yinfeng Li, Chen Gao, Xiaoyi Du, Huazhou Wei, Hengliang Luo, Depeng Jin, Yong Li:
Spatiotemporal-aware Session-based Recommendation with Graph Neural Networks. 1209-1218 - Zhuoming Li, Darong Lai:
Dynamic Network Embedding via Temporal Path Adjacency Matrix Factorization. 1219-1228 - Yuxuan Liang, Kun Ouyang, Yiwei Wang, Xu Liu, Hongyang Chen, Junbo Zhang, Yu Zheng, Roger Zimmermann:
TrajFormer: Efficient Trajectory Classification with Transformers. 1229-1237 - Allen Lin, Jianling Wang, Ziwei Zhu, James Caverlee:
Quantifying and Mitigating Popularity Bias in Conversational Recommender Systems. 1238-1247 - Fudong Lin, Xu Yuan, Lu Peng, Nian-Feng Tzeng:
Cascade Variational Auto-Encoder for Hierarchical Disentanglement. 1248-1257 - Bing Liu, Wen Hua, Guido Zuccon, Genghong Zhao, Xia Zhang:
High-quality Task Division for Large-scale Entity Alignment. 1258-1268 - Hanyang Liu, Michael Montana, Dingwen Li, Chase Renfroe, Thomas George Kannampallil, Chenyang Lu:
Predicting Intraoperative Hypoxemia with Hybrid Inference Sequence Autoencoder Networks. 1269-1278 - Jiaxin Liu, Liwei Deng, Hao Miao, Yan Zhao, Kai Zheng:
Task Assignment with Federated Preference Learning in Spatial Crowdsourcing. 1279-1288 - Kangzheng Liu, Feng Zhao, Hongxu Chen, Yicong Li, Guandong Xu, Hai Jin:
DA-Net: Distributed Attention Network for Temporal Knowledge Graph Reasoning. 1289-1298 - Ning Liu, Songlei Jian, Dongsheng Li, Hongzuo Xu:
Unsupervised Hierarchical Graph Pooling via Substructure-Sensitive Mutual Information Maximization. 1299-1308 - Shuncheng Liu, Xu Chen, Yan Zhao, Jin Chen, Rui Zhou, Kai Zheng:
Efficient Learning with Pseudo Labels for Query Cost Estimation. 1309-1318 - Shuncheng Liu, Xu Chen, Ziniu Wu, Liwei Deng, Han Su, Kai Zheng:
HeGA: Heterogeneous Graph Aggregation Network for Trajectory Prediction in High-Density Traffic. 1319-1328 - Yang Liu, Zequn Sun, Guangyao Li, Wei Hu:
I Know What You Do Not Know: Knowledge Graph Embedding via Co-distillation Learning. 1329-1338 - Yao Liu, Lina Yao, Binghao Li, Xianzhi Wang, Claude Sammut:
Social Graph Transformer Networks for Pedestrian Trajectory Prediction in Complex Social Scenarios. 1339-1349 - Yifan Liu, Wei Wei, Jiayi Liu, Xianling Mao, Rui Fang, Dangyang Chen:
Improving Personality Consistency in Conversation by Persona Extending. 1350-1359 - Zihan Liu, Yun Luo, Lirong Wu, Siyuan Li, Zicheng Liu, Stan Z. Li:
Are Gradients on Graph Structure Reliable in Gray-box Attacks? 1360-1368 - Wei Lu, Zhaobo Zhang, Pingpeng Yuan, Hai Jin, Qiang-Sheng Hua:
Learning Chinese Word Embeddings By Discovering Inherent Semantic Relevance in Sub-characters. 1369-1378 - Jinwei Luo, Mingkai He, Xiaolin Lin, Weike Pan, Zhong Ming:
Dual-Task Learning for Multi-Behavior Sequential Recommendation. 1379-1388 - Sichun Luo, Xinyi Zhang, Yuanzhang Xiao, Linqi Song:
HySAGE: A Hybrid Static and Adaptive Graph Embedding Network for Context-Drifting Recommendations. 1389-1398 - Fuyuan Lyu, Xing Tang, Hong Zhu, Huifeng Guo, Yingxue Zhang, Ruiming Tang, Xue Liu:
OptEmbed: Learning Optimal Embedding Table for Click-through Rate Prediction. 1399-1409 - Yuanjie Lyu, Chen Zhu, Tong Xu, Zikai Yin, Enhong Chen:
Faithful Abstractive Summarization via Fact-aware Consistency-constrained Transformer. 1410-1419 - Changsheng Ma, Qiang Yang, Xin Gao, Xiangliang Zhang:
DEMO: Disentangled Molecular Graph Generation via an Invertible Flow Model. 1420-1429 - Chenglong Ma, Yongli Ren, Pablo Castells, Mark Sanderson:
NEST: Simulating Pandemic-like Events for Collaborative Filtering by Modeling User Needs Evolution. 1430-1440 - Guanghui Ma, Chunming Hu, Ling Ge, Junfan Chen, Hong Zhang, Richong Zhang:
Towards Robust False Information Detection on Social Networks with Contrastive Learning. 1441-1450 - Haiping Ma, Manwei Li, Le Wu, Haifeng Zhang, Yunbo Cao, Xingyi Zhang, Xuemin Zhao:
Knowledge-Sensed Cognitive Diagnosis for Intelligent Education Platforms. 1451-1460 - Runze Ma, Yidan Zhang, Xinye Wang, Zhenyang Yu, Lei Duan:
MORN: Molecular Property Prediction Based on Textual-Topological-Spatial Multi-View Learning. 1461-1470 - Xinyu Ma, Jiafeng Guo, Ruqing Zhang, Yixing Fan, Xueqi Cheng:
Scattered or Connected? An Optimized Parameter-efficient Tuning Approach for Information Retrieval. 1471-1480 - Yihong Ma, Patrick Gérard, Yijun Tian, Zhichun Guo, Nitesh V. Chawla:
Hierarchical Spatio-Temporal Graph Neural Networks for Pandemic Forecasting. 1481-1490 - Sean MacAvaney, Nicola Tonellotto, Craig Macdonald:
Adaptive Re-Ranking with a Corpus Graph. 1491-1500 - Zhenyu Mao, Ziyue Li, Dedong Li, Lei Bai, Rui Zhao:
Jointly Contrastive Representation Learning on Road Network and Trajectory. 1501-1510 - Marco Minici, Federico Cinus, Corrado Monti, Francesco Bonchi, Giuseppe Manco:
Cascade-based Echo Chamber Detection. 1511-1520 - Taichi Murayama, Yasuko Matsubara, Yasushi Sakurai, None None:
Mining Reaction and Diffusion Dynamics in Social Activities. 1521-1531 - K. V. M. Naidu, Praveen Gupta, Vaishnavi Gujjula:
Network Aware Forecasting for eCommerce Supply Planning. 1532-1541 - Jay Nandy, Rishi Saket, Prateek Jain, Jatin Chauhan, Balaraman Ravindran, Aravindan Raghuveer:
Domain-Agnostic Contrastive Representations for Learning from Label Proportions. 1542-1551 - Thi Huyen Nguyen, Koustav Rudra:
Rationale Aware Contrastive Learning Based Approach to Classify and Summarize Crisis-Related Microblogs. 1552-1562 - Wentao Ning, Reynold Cheng, Jiajun Shen, Nur Al Hasan Haldar, Ben Kao, Xiao Yan, Nan Huo, Wai Kit Lam, Tian Li, Bo Tang:
Automatic Meta-Path Discovery for Effective Graph-Based Recommendation. 1563-1572 - Hui Niu, Siyuan Li, Jian Li:
MetaTrader: An Reinforcement Learning Approach Integrating Diverse Policies for Portfolio Optimization. 1573-1583 - Sejoon Oh, Berk Ustun, Julian J. McAuley, Srijan Kumar:
Rank List Sensitivity of Recommender Systems to Interaction Perturbations. 1584-1594 - Yi Ouyang, Peng Wu, Li Pan:
Asymmetrical Context-aware Modulation for Collaborative Filtering Recommendation. 1595-1604 - Soumen Pachal, Avinash Achar:
Sequence Prediction under Missing Data: An RNN Approach without Imputation. 1605-1614 - Ashkan Panahi, Arman Rahbar, Chiranjib Bhattacharyya, Devdatt P. Dubhashi, Morteza Haghir Chehreghani:
Analysis of Knowledge Transfer in Kernel Regime. 1615-1624 - Shaowen Peng, Kazunari Sugiyama, Tsunenori Mine:
SVD-GCN: A Simplified Graph Convolution Paradigm for Recommendation. 1625-1634 - Yiyue Qian, Yiming Zhang, Nitesh V. Chawla, Yanfang Ye, Chuxu Zhang:
Malicious Repositories Detection with Adversarial Heterogeneous Graph Contrastive Learning. 1645-1654 - Yuqi Qin, Pengfei Wang, Biyu Ma, Zhe Zhang:
A Multi-Interest Evolution Story: Applying Psychology in Query-based Recommendation for Inferring Customer Intention. 1655-1665 - Appan Rakaraddi, Siew-Kei Lam, Mahardhika Pratama, Marcus de Carvalho:
Reinforced Continual Learning for Graphs. 1666-1674 - Houxing Ren, Jingyuan Wang, Wayne Xin Zhao:
RSD: A Reinforced Siamese Network with Domain Knowledge for Early Diagnosis. 1675-1684 - Jiaqian Ren, Lei Jiang, Hao Peng, Lingjuan Lyu, Zhiwei Liu, Chaochao Chen, Jia Wu, Xu Bai, Philip S. Yu:
Cross-Network Social User Embedding with Hybrid Differential Privacy Guarantees. 1685-1695 - Jiaqian Ren, Lei Jiang, Hao Peng, Yuwei Cao, Jia Wu, Philip S. Yu, Lifang He:
From Known to Unknown: Quality-aware Self-improving Graph Neural Network For Open Set Social Event Detection. 1696-1705 - Shaogang Ren, Ping Li:
Flow-based Perturbation for Cause-effect Inference. 1706-1715 - Yi Ren, Hongyan Tang, Siwen Zhu:
Unbiased Learning to Rank with Biased Continuous Feedback. 1716-1725 - Abilasha S, Sahely Bhadra, Ahmed Zaheer Dadarkar, Deepak P:
Deep Extreme Mixture Model for Time Series Forecasting. 1726-1735 - Mohammed Saeed, Nicolas Traub, Maelle Nicolas, Gianluca Demartini, Paolo Papotti:
Crowdsourced Fact-Checking at Twitter: How Does the Crowd Compare With Experts? 1736-1746 - Keshav Santhanam, Omar Khattab, Christopher Potts, Matei Zaharia:
PLAID: An Efficient Engine for Late Interaction Retrieval. 1747-1756 - Ryoma Sato:
Towards Principled User-side Recommender Systems. 1757-1766 - Qijie Shen, Hong Wen, Jing Zhang, Qi Rao:
Hierarchically Fusing Long and Short-Term User Interests for Click-Through Rate Prediction in Product Search. 1767-1776 - Wei Shen, Xiaonan He, Chuheng Zhang, Xuyun Zhang, Jian Xie:
A Transformer-Based User Satisfaction Prediction for Proactive Interaction Mechanism in DuerOS. 1777-1786 - A. B. Siddique, Muhammad Hasan Maqbool, Kshitija Taywade, Hassan Foroosh:
Personalizing Task-oriented Dialog Systems via Zero-shot Generalizable Reward Function. 1787-1797 - Ilija Simic, Vedran Sabol, Eduardo E. Veas:
Perturbation Effect: A Metric to Counter Misleading Validation of Feature Attribution. 1798-1807 - Hongzu Su, Yifei Zhang, Xuejiao Yang, Hua Hua, Shuangyang Wang, Jingjing Li:
Cross-domain Recommendation via Adversarial Adaptation. 1808-1817 - Huinan Sun, Guangliang Yu, Pengye Zhang, Bo Zhang, Xingxing Wang, Dong Wang:
Graph Based Long-Term And Short-Term Interest Model for Click-Through Rate Prediction. 1818-1826 - Li Sun, Junda Ye, Hao Peng, Philip S. Yu:
A Self-supervised Riemannian GNN with Time Varying Curvature for Temporal Graph Learning. 1827-1836 - Longlong Sun, Hui Li, Yanguo Peng, Jiangtao Cui:
Serpens: Privacy-Preserving Inference through Conditional Separable of Convolutional Neural Networks. 1837-1847 - Qingyun Sun, Jianxin Li, Haonan Yuan, Xingcheng Fu, Hao Peng, Cheng Ji, Qian Li, Philip S. Yu:
Position-aware Structure Learning for Graph Topology-imbalance by Relieving Under-reaching and Over-squashing. 1848-1857 - Shuo Sun, Wanqi Xue, Rundong Wang, Xu He, Junlei Zhu, Jian Li, Bo An:
DeepScalper: A Risk-Aware Reinforcement Learning Framework to Capture Fleeting Intraday Trading Opportunities. 1858-1867 - Farnaz Tahmasebian, Jian Lou, Li Xiong:
RobustFed: A Truth Inference Approach for Robust Federated Learning. 1868-1877 - Shiyin Tan, Jingyi You, Dongyuan Li:
Temporality- and Frequency-aware Graph Contrastive Learning for Temporal Network. 1878-1888 - Yihong Tang, Ao Qu, Andy H. F. Chow, William H. K. Lam, Sze Chun Wong, Wei Ma:
Domain Adversarial Spatial-Temporal Network: A Transferable Framework for Short-term Traffic Forecasting across Cities. 1905-1915 - Yongxiang Tang, Wentao Bai, Guilin Li, Xialong Liu, Yu Zhang:
CROLoss: Towards a Customizable Loss for Retrieval Models in Recommender Systems. 1916-1924 - Changxin Tian, Zihan Lin, Shuqing Bian, Jinpeng Wang, Wayne Xin Zhao:
Temporal Contrastive Pre-Training for Sequential Recommendation. 1925-1934 - Abhisek Tiwari, Manisimha Manthena, Sriparna Saha, Pushpak Bhattacharyya, Minakshi Dhar, Sarbajeet Tiwari:
Dr. Can See: Towards a Multi-modal Disease Diagnosis Virtual Assistant. 1935-1944 - Hanwen Tong, Chenhao Xie, Jiaqing Liang, Qianyu He, Zhiang Yue, Jingping Liu, Yanghua Xiao, Wenguang Wang:
A Context-Enhanced Generate-then-Evaluate Framework for Chinese Abbreviation Prediction. 1945-1954 - Hai Dang Tran, Andrew Yates:
Dense Retrieval with Entity Views. 1955-1964 - Ali Vardasbi, Maarten de Rijke, Mostafa Dehghani:
Intersection of Parallels as an Early Stopping Criterion. 1965-1974 - Thanh Vinh Vo, Pengfei Wei, Trong Nghia Hoang, Tze-Yun Leong:
Adaptive Multi-Source Causal Inference from Observational Data. 1975-1985 - Govind Waghmare, Ankur Debnath, Siddhartha Asthana, Aakarsh Malhotra:
Modeling Inter-Dependence Between Time and Mark in Multivariate Temporal Point Processes. 1986-1995 - Bingning Wang, Feiyang Lv, Ting Yao, Jin Ma, Yu Luo, Haijin Liang:
ChiQA: A Large Scale Image-based Real-World Question Answering Dataset for Multi-Modal Understanding. 1996-2006 - Chenyang Wang, Zhefan Wang, Yankai Liu, Yang Ge, Weizhi Ma, Min Zhang, Yiqun Liu, Junlan Feng, Chao Deng, Shaoping Ma:
Target Interest Distillation for Multi-Interest Recommendation. 2007-2016 - Lei Wang, Ee-Peng Lim, Zhiwei Liu, Tianxiang Zhao:
Explanation Guided Contrastive Learning for Sequential Recommendation. 2017-2027 - Senzhang Wang, Jiyue Li, Hao Miao, Junbo Zhang, Junxing Zhu, Jianxin Wang:
Generative-Free Urban Flow Imputation. 2028-2037 - Shuo Wang, Yifei Zhang, Bochen Lin, Boxun Li:
Interpretable Emotion Analysis Based on Knowledge Graph and OCC Model. 2038-2045 - Yili Wang, Kaixiong Zhou, Rui Miao, Ninghao Liu, Xin Wang:
AdaGCL: Adaptive Subgraph Contrastive Learning to Generalize Large-scale Graph Training. 2046-2055 - Yu Wang, Hengrui Zhang, Zhiwei Liu, Liangwei Yang, Philip S. Yu:
ContrastVAE: Contrastive Variational AutoEncoder for Sequential Recommendation. 2056-2066 - Yu Wang, Yuying Zhao, Neil Shah, Tyler Derr:
Imbalanced Graph Classification via Graph-of-Graph Neural Networks. 2067-2076 - Zhuoyi Wang, Dingcheng Li, Ping Li:
Latent Coreset Sampling based Data-Free Continual Learning. 2077-2087 - Zilong Wang, Liya Guo, Junming Yin, Shuai Li:
Bandit Learning in Many-to-One Matching Markets. 2088-2097 - Ziyang Wang, Huoyu Liu, Wei Wei, Yue Hu, Xian-Ling Mao, Shaojian He, Rui Fang, Dangyang Chen:
Multi-level Contrastive Learning Framework for Sequential Recommendation. 2098-2107 - Chunyu Wei, Jian Liang, Bing Bai, Di Liu:
Dynamic Hypergraph Learning for Collaborative Filtering. 2108-2117 - Pengfei Wei, Xinghua Qu, Wen Song, Zejun Ma:
Dynamic Transfer Gaussian Process Regression. 2118-2127 - Chen Wu, Ruqing Zhang, Jiafeng Guo, Wei Chen, Yixing Fan, Maarten de Rijke, Xueqi Cheng:
Certified Robustness to Word Substitution Ranking Attack for Neural Ranking Models. 2128-2137 - Ensen Wu, Hongyan Cui, Zunming Chen:
RelpNet: Relation-based Link Prediction Neural Network. 2138-2147 - Haolun Wu, Chen Ma, Yingxue Zhang, Xue Liu, Ruiming Tang, Mark Coates:
Adapting Triplet Importance of Implicit Feedback for Personalized Recommendation. 2148-2157 - Hongfa Wu, Lisai Zhang, Qingcai Chen, Yimeng Deng, Joanna Siebert, Yunpeng Han, Zhonghua Li, Dejiang Kong, Zhao Cao:
Contrastive Label Correlation Enhanced Unified Hashing Encoder for Cross-modal Retrieval. 2158-2168 - Jialun Wu, Buyue Qian, Yang Li, Zeyu Gao, Meizhi Ju, Yifan Yang, Yefeng Zheng, Tieliang Gong, Chen Li, Xianli Zhang:
Leveraging Multiple Types of Domain Knowledge for Safe and Effective Drug Recommendation. 2169-2178 - Meihan Wu, Li Li, Chang Tao, Eric Rigall, Xiaodong Wang, Cheng-Zhong Xu:
FedCDR: Federated Cross-Domain Recommendation for Privacy-Preserving Rating Prediction. 2179-2188 - Po-Cheng Wu, An-Zi Yen, Hen-Hsen Huang, Hsin-Hsi Chen:
Incorporating Peer Reviews and Rebuttal Counter-Arguments for Meta-Review Generation. 2189-2198 - Yuexin Wu, Xiaolei Huang:
A Gumbel-based Rating Prediction Framework for Imbalanced Recommendation. 2199-2209 - Yuyang Xia, Shuncheng Liu, Xu Chen, Zhi Xu, Kai Zheng, Han Su:
RISE: A Velocity Control Framework with Minimal Impacts based on Reinforcement Learning. 2210-2219 - Teng Xiao, Zhengyu Chen, Suhang Wang:
Representation Matters When Learning From Biased Feedback in Recommendation. 2220-2229 - Jiandong Xie, Yue Cui, Feiteng Huang, Chao Liu, Kai Zheng:
MARINA: An MLP-Attention Model for Multivariate Time-Series Analysis. 2230-2239 - Kexuan Xin, Zequn Sun, Wen Hua, Wei Hu, Jianfeng Qu, Xiaofang Zhou:
Large-scale Entity Alignment via Knowledge Graph Merging, Partitioning and Embedding. 2240-2249 - Guanming Xiong, Junwei Bao, Wen Zhao, Youzheng Wu, Xiaodong He:
AutoQGS: Auto-Prompt for Low-Resource Knowledge-based Question Generation from SPARQL. 2250-2259 - Chen Xu, Jun Xu, Xu Chen, Zhenhua Dong, Ji-Rong Wen:
Dually Enhanced Propensity Score Estimation in Sequential Recommendation. 2260-2269 - Lingjun Xu, Shiyin Zhang, Guojie Song, Junshan Wang, Tianshu Wu, Guojun Liu:
Taxonomy-Enhanced Graph Neural Networks. 2270-2279 - Qianxiong Xu, Sijie Ruan, Cheng Long, Liang Yu, Chen Zhang:
Traffic Speed Imputation with Spatio-Temporal Attentions and Cycle-Perceptual Training. 2280-2289 - Shicheng Xu, Liang Pang, Huawei Shen, Xueqi Cheng:
Match-Prompt: Improving Multi-task Generalization Ability for Neural Text Matching via Prompt Learning. 2290-2300 - Shuyuan Xu, Juntao Tan, Zuohui Fu, Jianchao Ji, Shelby Heinecke, Yongfeng Zhang:
Dynamic Causal Collaborative Filtering. 2301-2310 - Tianyu Xu, Wen Hua, Jianfeng Qu, Zhixu Li, Jiajie Xu, An Liu, Lei Zhao:
Evidence-aware Document-level Relation Extraction. 2311-2320 - Wanyue Xu, Liwang Zhu, Jiale Guan, Zuobai Zhang, Zhongzhi Zhang:
Effects of Stubbornness on Opinion Dynamics. 2321-2330 - Xiaojia Xu, An Liu, Guanfeng Liu, Zhixu Li, Lei Zhao:
Drive Less but Finish More: Food Delivery based on Multi-Level Workers in Spatial Crowdsourcing. 2331-2340 - Yuchen Yan, Qinghai Zhou, Jinning Li, Tarek F. Abdelzaher, Hanghang Tong:
Dissecting Cross-Layer Dependency Inference on Multi-Layered Inter-Dependent Networks. 2341-2351 - Chaoqi Yang, Ruijie Wang, Shuochao Yao, Tarek F. Abdelzaher:
Semi-supervised Hypergraph Node Classification on Hypergraph Line Expansion. 2352-2361 - Jinghua Yang, Chuan Chen, Hong-Ning Dai, Meng Ding, Lele Fu, Zibin Zheng:
Hierarchical Representation for Multi-view Clustering: From Intra-sample to Intra-view to Inter-view. 2362-2371 - Benedict Yeoh, Huijuan Wang:
GROWN+UP: A "Graph Representation Of a Webpage" Network Utilizing Pre-training. 2372-2382 - Hongbo Yin, Yingxia Shao, Xupeng Miao, Yawen Li, Bin Cui:
Scalable Graph Sampling on GPUs with Compressed Graph. 2383-2392 - Lu Yu, Shichao Pei, Feng Zhu, Longfei Li, Jun Zhou, Chuxu Zhang, Xiangliang Zhang:
A Biased Sampling Method for Imbalanced Personalized Ranking. 2393-2402 - Ruiyun Yu, Kang Yang, Bingyang Guo:
The Interaction Graph Auto-encoder Network Based on Topology-aware for Transferable Recommendation. 2403-2412 - Tao Yu, Yao Fu, Linghui Hu, Huizhao Wang, Weihao Jiang, Shiliang Pu:
Cognize Yourself: Graph Pre-Training via Core Graph Cognizing and Differentiating. 2413-2422 - Zhenrui Yue, Huimin Zeng, Ziyi Kou, Lanyu Shang, Dong Wang:
Contrastive Domain Adaptation for Early Misinformation Detection: A Case Study on COVID-19. 2423-2433 - Sukwon Yun, Kibum Kim, Kanghoon Yoon, Chanyoung Park:
LTE4G: Long-Tail Experts for Graph Neural Networks. 2434-2443 - Fankai Zeng, Mingbo Zhao, Zhao Zhang, Shanchuan Gao, Lu Cheng:
Joint Clothes Detection and Attribution Prediction via Anchor-free Framework with Decoupled Representation Transformer. 2444-2454 - Jinwei Zeng, Guozhen Zhang, Can Rong, Jingtao Ding, Jian Yuan, Yong Li:
Causal Learning Empowered OD Prediction for Urban Planning. 2455-2464 - Kaisheng Zeng, Zhenhao Dong, Lei Hou, Yixin Cao, Minghao Hu, Jifan Yu, Xin Lv, Lei Cao, Xin Wang, Haozhuang Liu, Yi Huang, Junlan Feng, Jing Wan, Juanzi Li, Ling Feng:
Interactive Contrastive Learning for Self-Supervised Entity Alignment. 2465-2475 - Daochen Zha, Kwei-Herng Lai, Qiaoyu Tan, Sirui Ding, Na Zou, Xia Ben Hu:
Towards Automated Imbalanced Learning with Deep Hierarchical Reinforcement Learning. 2476-2485 - Jingtao Zhan, Xiaohui Xie, Jiaxin Mao, Yiqun Liu, Jiafeng Guo, Min Zhang, Shaoping Ma:
Evaluating Interpolation and Extrapolation Performance of Neural Retrieval Models. 2486-2496 - Chaoli Zhang, Tian Zhou, Qingsong Wen, Liang Sun:
TFAD: A Decomposition Time Series Anomaly Detection Architecture with Time-Frequency Analysis. 2497-2507 - Chi Zhang, Yantong Du, Xiangyu Zhao, Qilong Han, Rui Chen, Li Li:
Hierarchical Item Inconsistency Signal Learning for Sequence Denoising in Sequential Recommendation. 2508-2518 - Chunhui Zhang, Chao Huang, Youhuan Li, Xiangliang Zhang, Yanfang Ye, Chuxu Zhang:
Look Twice as Much as You Say: Scene Graph Contrastive Learning for Self-Supervised Image Caption Generation. 2519-2528 - Fuwei Zhang, Zhao Zhang, Xiang Ao, Fuzhen Zhuang, Yongjun Xu, Qing He:
Along the Time: Timeline-traced Embedding for Temporal Knowledge Graph Completion. 2529-2538 - Haoqi Zhang, Junqi Jin, Zhenzhe Zheng, Fan Wu, Haiyang Xu, Jian Xu:
Control-based Bidding for Mobile Livestreaming Ads with Exposure Guarantee. 2539-2548 - Hengyu Zhang, Enming Yuan, Wei Guo, Zhicheng He, Jiarui Qin, Huifeng Guo, Bo Chen, Xiu Li, Ruiming Tang:
Disentangling Past-Future Modeling in Sequential Recommendation via Dual Networks. 2549-2558 - Jiazheng Zhang, Bang Wang:
Dismantling Complex Networks by a Neural Model Trained from Tiny Networks. 2559-2568 - Junwei Zhang, Ruifang He, Fengyu Guo, Jinsong Ma, Mengnan Xiao:
Disentangled Representation for Long-tail Senses of Word Sense Disambiguation. 2569-2579 - Qianzhen Zhang, Deke Guo, Xiang Zhao, Lailong Luo:
Handling RDF Streams: Harmonizing Subgraph Matching, Adaptive Incremental Maintenance, and Matching-free Updates Together. 2580-2589 - Qinggang Zhang, Junnan Dong, Keyu Duan, Xiao Huang, Yezi Liu, Linchuan Xu:
Contrastive Knowledge Graph Error Detection. 2590-2599 - Rui Zhang, Arthur Zimek, Peter Schneider-Kamp:
A Simple Meta-path-free Framework for Heterogeneous Network Embedding. 2600-2609 - Rui Zhang, Arthur Zimek, Peter Schneider-Kamp:
Unsupervised Representation Learning on Attributed Multiplex Network. 2610-2619 - Ruitong Zhang, Hao Peng, Yingtong Dou, Jia Wu, Qingyun Sun, Yangyang Li, Jingyi Zhang, Philip S. Yu:
Automating DBSCAN via Deep Reinforcement Learning. 2620-2630 - Song Zhang, Nan Zheng, Danli Wang:
GBERT: Pre-training User representations for Ephemeral Group Recommendation. 2631-2639 - Xuanyu Zhang, Qing Yang, Dongliang Xu:
DeepVT: Deep View-Temporal Interaction Network for News Recommendation. 2640-2650 - Yao Zhang, Yun Xiong, Yiheng Sun, Caihua Shan, Tian Lu, Hui Song, Yangyong Zhu:
RuDi: Explaining Behavior Sequence Models by Automatic Statistics Generation and Rule Distillation. 2651-2660 - Yinghua Zhang, Yangqiu Song, Kun Bai, Qiang Yang:
Cross-domain Cross-architecture Black-box Attacks on Fine-tuned Models with Transferred Evolutionary Strategies. 2661-2670 - Zhao-Yu Zhang, Xiang-Rong Sheng, Yujing Zhang, Biye Jiang, Shuguang Han, Hongbo Deng, Bo Zheng:
Towards Understanding the Overfitting Phenomenon of Deep Click-Through Rate Models. 2671-2680 - Kesen Zhao, Xiangyu Zhao, Zijian Zhang, Muyang Li:
MAE4Rec: Storage-saving Transformer for Sequential Recommendations. 2681-2690 - Lili Zhao, Linan Yue, Yanqing An, Yuren Zhang, Jun Yu, Qi Liu, Enhong Chen:
CPEE: Civil Case Judgment Prediction centering on the Trial Mode of Essential Elements. 2691-2700 - Rongmei Zhao, Shenggen Ju, Jian Peng, Ning Yang, Fanli Yan, Siyu Sun:
Two-Level Graph Path Reasoning for Conversational Recommendation with User Realistic Preference. 2701-2710 - Cangqi Zhou, Yuxiang Wang, Jing Zhang, Jiqiong Jiang, Dianming Hu:
End-to-end Modularity-based Community Co-partition in Bipartite Networks. 2711-2720 - Dawei Zhou, Lecheng Zheng, Dongqi Fu, Jiawei Han, Jingrui He:
MentorGNN: Deriving Curriculum for Pre-Training GNNs. 2721-2731 - Honglu Zhou, Advith Chegu, Samuel S. Sohn, Zuohui Fu, Gerard de Melo, Mubbasir Kapadia:
D-HYPR: Harnessing Neighborhood Modeling and Asymmetry Preservation for Digraph Representation Learning. 2732-2742 - Menghui Zhou, Yu Zhang, Tong Liu, Yun Yang, Po Yang:
Multi-task Learning with Adaptive Global Temporal Structure for Predicting Alzheimer's Disease Progression. 2743-2752 - Yao Zhou, Jun Wu, Haixun Wang, Jingrui He:
Adversarial Robustness through Bias Variance Decomposition: A New Perspective for Federated Learning. 2753-2762 - Zhiheng Zhou, Tao Wang, Linfang Hou, Xinyuan Zhou, Mian Ma, Zhuoye Ding:
Decoupled Hyperbolic Graph Attention Network for Modeling Substitutable and Complementary Item Relationships. 2763-2772 - Zile Zhou, Xiao Zhou, Mingzhe Li, Yang Song, Tao Zhang, Rui Yan:
Personalized Query Suggestion with Searching Dynamic Flow for Online Recruitment. 2773-2783 - Yutao Zhu, Jian-Yun Nie, Yixuan Su, Haonan Chen, Xinyu Zhang, Zhicheng Dou:
From Easy to Hard: A Dual Curriculum Learning Framework for Context-Aware Document Ranking. 2784-2794 - Jun Zhuang, Mohammad Al Hasan:
Robust Node Classification on Graphs: Jointly from Bayesian Label Transition and Topology-based Label Propagation. 2795-2805 - Jianhuan Zhuo, Jianxun Lian, Lanling Xu, Ming Gong, Linjun Shou, Daxin Jiang, Xing Xie, Yinliang Yue:
Tiger: Transferable Interest Graph Embedding for Domain-Level Zero-Shot Recommendation. 2806-2816 - Ding Zou, Wei Wei, Ziyang Wang, Xian-Ling Mao, Feida Zhu, Rui Fang, Dangyang Chen:
Improving Knowledge-aware Recommendation with Multi-level Interactive Contrastive Learning. 2817-2826 - Jinhang Zuo, Songwen Hu, Tong Yu, Shuai Li, Handong Zhao, Carlee Joe-Wong:
Hierarchical Conversational Preference Elicitation with Bandit Feedback. 2827-2836
CIKM'22 Applied Research Papers
- Ahmad Ajalloeian, Michalis Vlachos, Johannes Schneider, Alexis Steinmann:
A Case Study in Educational Recommenders: Recommending Music Partitures at Tomplay. 2853-2862 - Javier Albert, Dmitri Goldenberg:
E-Commerce Promotions Personalization via Online Multiple-Choice Knapsack with Uplift Modeling. 2863-2872 - Miguel Alves Gomes, Richard Meyes, Philipp Meisen, Tobias Meisen:
Will This Online Shopping Session Succeed? Predicting Customer's Purchase Intention Using Embeddings. 2873-2882 - Xiao Bai, Lei Duan, Richard Tang, Gaurav Batra, Ritesh Agrawal:
Improving Text-based Similar Product Recommendation for Dynamic Product Advertising at Yahoo. 2883-2892 - Hannah Bast, Johannes Kalmbach, Theresa Klumpp, Florian Kramer, Niklas Schnelle:
Efficient and Effective SPARQL Autocompletion on Very Large Knowledge Graphs. 2893-2902 - Roy Benjamin, Uriel Singer, Kira Radinsky:
Graph Neural Networks Pretraining Through Inherent Supervision for Molecular Property Prediction. 2903-2912 - Nan Bi, Pablo Castells, Daniel Gilbert, Slava Galperin, Patrick Tardif, Sachin Ahuja:
Debiased Balanced Interleaving at Amazon Search. 2913-2922 - Shuqing Bian, Wayne Xin Zhao, Jinpeng Wang, Ji-Rong Wen:
A Relevant and Diverse Retrieval-enhanced Data Augmentation Framework for Sequential Recommendation. 2923-2932 - Stella Biderman, Edward Raff:
Fooling MOSS Detection with Pretrained Language Models. 2933-2943 - Kaiyan Cao, Deqing Yang, Jingping Liu, Jiaqing Liang, Yanghua Xiao, Feng Wei, Baohua Wu, Quan Lu:
A Context-Enhanced Transformer with Abbr-Recover Policy for Chinese Abbreviation Prediction. 2944-2953 - Lele Cao, Sonja Horn, Vilhelm von Ehrenheim, Richard Anselmo Stahl, Henrik Landgren:
Simulation-Informed Revenue Extrapolation with Confidence Estimate for Scaleup Companies Using Scarce Time-Series Data. 2954-2963 - Yi Cao, Sihao Hu, Yu Gong, Zhao Li, Yazheng Yang, Qingwen Liu, Shouling Ji:
GIFT: Graph-guIded Feature Transfer for Cold-Start Video Click-Through Rate Prediction. 2964-2973 - Yue Cao, Xiaojiang Zhou, Jiaqi Feng, Peihao Huang, Yao Xiao, Dayao Chen, Sheng Chen:
Sampling Is All You Need on Modeling Long-Term User Behaviors for CTR Prediction. 2974-2983 - Bo Chen, Huifeng Guo, Weiwen Liu, Yue Ding, Yunzhe Li, Wei Guo, Yichao Wang, Zhicheng He, Ruiming Tang, Rui Zhang:
Numerical Feature Representation with Hybrid N-ary Encoding. 2984-2993 - Bo Chen, Jiayi Liu, Mieradilijiang Maimaiti, Xing Gao, Ji Zhang:
Generating Persuasive Responses to Customer Reviews with Multi-Source Prior Knowledge in E-commerce. 2994-3002 - Dagui Chen, Qi Yan, Chunjie Chen, Zhenzhe Zheng, Yangsu Liu, Zhenjia Ma, Chuan Yu, Jian Xu, Bo Zheng:
Hierarchically Constrained Adaptive Ad Exposure in Feeds. 3003-3012 - Rihan Chen, Bin Liu, Han Zhu, Yaoxuan Wang, Qi Li, Buting Ma, Qingbo Hua, Jun Jiang, Yunlong Xu, Hongbo Deng, Bo Zheng:
Approximate Nearest Neighbor Search under Neural Similarity Metric for Large-Scale Recommendation. 3013-3022 - Xiusi Chen, Jyun-Yu Jiang, Kun Jin, Yichao Zhou, Mingyan Liu, P. Jeffrey Brantingham, Wei Wang:
ReLiable: Offline Reinforcement Learning for Tactical Strategies in Professional Basketball Games. 3023-3032 - Yun-Wei Chu, Seyyedali Hosseinalipour, Elizabeth Tenorio, Laura M. Cruz Castro, Kerrie A. Douglas, Andrew S. Lan, Christopher G. Brinton:
Mitigating Biases in Student Performance Prediction via Attention-Based Personalized Federated Learning. 3033-3042 - Zhixuan Chu, Hui Ding, Guang Zeng, Yuchen Huang, Tan Yan, Yulin Kang, Sheng Li:
Hierarchical Capsule Prediction Network for Marketing Campaigns Effect. 3043-3051 - Ben Chugg, Nicolas Rothbacher, Alex Feng, Xiaoqi Long, Daniel E. Ho:
Detecting Environmental Violations with Satellite Imagery in Near Real Time: Land Application under the Clean Water Act. 3052-3062 - Miao Fan, Jizhou Huang, Haifeng Wang:
DuMapper: Towards Automatic Verification of Large-Scale POIs with Street Views at Baidu Maps. 3063-3071 - Zhengqing Gao, Huimin Wu, Martin Takác, Bin Gu:
Towards Practical Large Scale Non-Linear Semi-Supervised Learning with Balancing Constraints. 3072-3081 - Bhavya Ghai, Mihir Mishra, Klaus Mueller:
Cascaded Debiasing: Studying the Cumulative Effect of Multiple Fairness-Enhancing Interventions. 3082-3091 - Mogan Gim, Donghee Choi, Kana Maruyama, Jihun Choi, Hajung Kim, Donghyeon Park, Jaewoo Kang:
RecipeMind: Guiding Ingredient Choices from Food Pairing to Recipe Completion using Cascaded Set Transformer. 3092-3102 - Xudong Gong, Qinlin Feng, Yuan Zhang, Jiangling Qin, Weijie Ding, Biao Li, Peng Jiang, Kun Gai:
Real-time Short Video Recommendation on Mobile Devices. 3103-3112 - Bin Gu, Zhou Zhai, Xiang Li, Heng Huang:
Towards Fairer Classifier via True Fairness Score Path. 3113-3121 - Long Guo, Fei Fang, Binqiang Zhao, Bin Cui:
UDM: A Unified Deep Matching Framework in Recommender Systems. 3122-3130 - Peeyush Gupta, Sharad Mehrotra, Shantanu Sharma, Roberto Yus, Nalini Venkatasubramanian:
Sentaur: Sensor Observable Data Model for Smart Spaces. 3131-3140 - Cuize Han, Pablo Castells, Parth Gupta, Xu Xu, Vamsi Salaka:
Addressing Cold Start in Product Search via Empirical Bayes. 3141-3151 - Pengfei He, Haochen Liu, Xiangyu Zhao, Hui Liu, Jiliang Tang:
PROPN: Personalized Probabilistic Strategic Parameter Optimization in Recommendations. 3152-3161 - Connor Henderson, Spencer Bryson, Vincent Corvinelli, Parke Godfrey, Piotr Mierzejewski, Jaroslaw Szlichta, Calisto Zuzarte:
BLUTune: Query-informed Multi-stage IBM Db2 Tuning via ML. 3162-3171 - Jizhou Huang, Zhengjie Huang, Xiaomin Fang, Shikun Feng, Xuyi Chen, Jiaxiang Liu, Haitao Yuan, Haifeng Wang:
DuETA: Traffic Congestion Propagation Pattern Modeling via Efficient Graph Learning for ETA Prediction at Baidu Maps. 3172-3181 - Jizhou Huang, Haifeng Wang, Shaolei Wang:
DuIVRS: A Telephonic Interactive Voice Response System for Large-Scale POI Attribute Acquisition at Baidu Maps. 3182-3191 - Kazi Ashik Islam, Da Qi Chen, Madhav V. Marathe, Henning S. Mortveit, Samarth Swarup, Anil Vullikanti:
Incorporating Fairness in Large-scale Evacuation Planning. 3192-3201 - Song Jiang, Tahin Syed, Xuan Zhu, Joshua Levy, Boris Aronchik, Yizhou Sun:
Bridging Self-Attention and Time Series Decomposition for Periodic Forecasting. 3202-3211 - Yuchen Jiang, Qi Li, Han Zhu, Jinbei Yu, Jin Li, Ziru Xu, Huihui Dong, Bo Zheng:
Adaptive Domain Interest Network for Multi-domain Recommendation. 3212-3221 - Sareena Karapoola, Nikhilesh Singh, Chester Rebeiro, V. Kamakoti:
RaDaR: A Real-Word Dataset for AI powered Run-time Detection of Cyber-Attacks. 3222-3232 - Kushal Kumar, Anoop S. V. K. K. Saladi:
PAVE: Lazy-MDP based Ensemble to Improve Recall of Product Attribute Extraction Models. 3233-3242 - Kunpeng Li, Guangcui Shao, Naijun Yang, Xiao Fang, Yang Song:
Billion-user Customer Lifetime Value Prediction: An Industrial-scale Solution from Kuaishou. 3243-3251 - Meng Li, Lu Yu, Ya-Lin Zhang, Xiaoguang Huang, Qitao Shi, Qing Cui, Xinxing Yang, Longfei Li, Wei Zhu, Yanming Fang, Jun Zhou:
An Adaptive Framework for Confidence-constraint Rule Set Learning Algorithm in Large Dataset. 3252-3261 - Sen Li, Fuyu Lv, Taiwei Jin, Guiyang Li, Yukun Zheng, Tao Zhuang, Qingwen Liu, Xiaoyi Zeng, James T. Kwok, Qianli Ma:
Query Rewriting in TaoBao Search. 3262-3271 - Sheng Li, Quanlong Guan, Liangda Fang, Fang Xiao, Zhenyu He, Yizhou He, Weiqi Luo:
Cognitive Diagnosis Focusing on Knowledge Concepts. 3272-3281 - Tong Li, Shiduo Xin, Yanxin Xi, Sasu Tarkoma, Pan Hui, Yong Li:
Predicting Multi-level Socioeconomic Indicators from Structural Urban Imagery. 3282-3291 - Xiangyang Li, Bo Chen, Huifeng Guo, Jingjie Li, Chenxu Zhu, Xiang Long, Sujian Li, Yichao Wang, Wei Guo, Longxia Mao, Jinxing Liu, Zhenhua Dong, Ruiming Tang:
IntTower: The Next Generation of Two-Tower Model for Pre-Ranking System. 3292-3301 - Dandan Lin, Shijie Sun, Jingtao Ding, Xuehan Ke, Hao Gu, Xing Huang, Chonggang Song, Xuri Zhang, Lingling Yi, Jie Wen, Chuan Chen:
PlatoGL: Effective and Scalable Deep Graph Learning System for Graph-enhanced Real-Time Recommendation. 3302-3311 - Qianying Lin, Wen-Ji Zhou, Yanshi Wang, Qing Da, Qing-Guo Chen, Bing Wang:
Sparse Attentive Memory Network for Click-through Rate Prediction with Long Sequences. 3312-3321 - Danyang Liu, Yuji Yang, Mengdi Zhang, Wei Wu, Xing Xie, Guangzhong Sun:
Knowledge Enhanced Multi-Interest Network for the Generation of Recommendation Candidates. 3322-3331 - Junning Liu, Xinjian Li, Bo An, Zijie Xia, Xu Wang:
Multi-Faceted Hierarchical Multi-Task Learning for Recommender Systems. 3332-3341 - Mingxuan Lu, Zhichao Han, Susie Xi Rao, Zitao Zhang, Yang Zhao, Yinan Shan, Ramesh Raghunathan, Ce Zhang, Jiawei Jiang:
BRIGHT - Graph Neural Networks in Real-time Fraud Detection. 3342-3351 - Yucheng Lu, Qiang Ji, Liang Wang, Tianshu Wu, Hongbo Deng, Jian Xu, Bo Zheng:
STARDOM: Semantic Aware Deep Hierarchical Forecasting Model for Search Traffic Prediction. 3352-3360 - Wenjun Lyu, Kexin Zhang, Baoshen Guo, Zhiqing Hong, Guang Yang, Guang Wang, Yu Yang, Yunhuai Liu, Desheng Zhang:
Towards Fair Workload Assessment via Homogeneous Order Grouping in Last-mile Delivery. 3361-3370 - Md. Parvez Mollah, Biplob Debnath, Murugan Sankaradas, Srimat Chakradhar, Abdullah Mueen:
Efficient Compression Method for Roadside LiDAR Data. 3371-3380 - Abhirup Mondal, Anirban Majumder, Vineet Chaoji:
MEMENTO: Neural Model for Estimating Individual Treatment Effects for Multiple Treatments. 3381-3390 - Keyu Nie, Zezhong Zhang, Bingquan Xu, Ted Tao Yuan:
Ensure A/B Test Quality at Scale with Automated Randomization Validation and Sample Ratio Mismatch Detection. 3391-3399 - Ping Nie, Yujie Lu, Shengyu Zhang, Ming Zhao, Ruobing Xie, William Yang Wang, Yi Ren:
MIC: Model-agnostic Integrated Cross-channel Recommender. 3400-3409 - Behrooz Omidvar-Tehrani, Aurélien Personnaz, Sihem Amer-Yahia:
Guided Text-based Item Exploration. 3410-3420 - Xingyu Pan, Yushuo Chen, Changxin Tian, Zihan Lin, Jinpeng Wang, He Hu, Wayne Xin Zhao:
Multimodal Meta-Learning for Cold-Start Sequential Recommendation. 3421-3430 - Madhura Pande, Vishal Kakkar, Manish Bansal, Surender Kumar, Chinmay Sharma, Himanshu Malhotra, Praneet Mehta:
Learning-to-Spell: Weak Supervision based Query Correction in E-Commerce Search with Small Strong Labels. 3431-3440 - Krishna Kantikiran Pasupuleti, Dinesh Das, Satyanarayana R. Valluri, Mohamed Zaït:
Observability of SQL Hints in Oracle. 3441-3450 - Krishna Kantikiran Pasupuleti, Boris Klots, Vijayakrishnan Nagarajan, Ananthakiran Kandukuri, Nipun Agarwal:
High Availability Framework and Query Fault Tolerance for Hybrid Distributed Database Systems. 3451-3460 - Indraneil Paul, Sumit Negi:
Sub-Task Imputation via Self-Labelling to Train Image Moderation Models on Sparse Noisy Data. 3461-3471 - Benedek Rozemberczki, Anna Gogleva, Sebastian Nilsson, Gavin Edwards, Andriy Nikolov, Eliseo Papa:
MOOMIN: Deep Molecular Omics Network for Anti-Cancer Drug Combination Therapy. 3472-3483 - Wonyoung Shin, Jonghun Park, Taekang Woo, Yongwoo Cho, Kwangjin Oh, Hwanjun Song:
e-CLIP: Large-Scale Vision-Language Representation Learning in E-commerce. 3484-3494 - Youjin Shin, Eun-Ju Park, Simon S. Woo, Okchul Jung, Daewon Chung:
Selective Tensorized Multi-layer LSTM for Orbit Prediction. 3495-3504 - Yuancheng Sun, Yimeng Chen, Weizhi Ma, Wenhao Huang, Kang Liu, Zhiming Ma, Wei-Ying Ma, Yanyan Lan:
PEMP: Leveraging Physics Properties to Enhance Molecular Property Prediction. 3505-3513 - Maryam Tabar, Wooyong Jung, Amulya Yadav, Owen Wilson Chavez, Ashley Flores, Dongwon Lee:
WARNER: Weakly-Supervised Neural Network to Identify Eviction Filing Hotspots in the Absence of Court Records. 3514-3523 - Wanjie Tao, Zhang-Hua Fu, Liangyue Li, Zulong Chen, Hong Wen, Yuanyuan Liu, Qijie Shen, Peilin Chen:
A Dual Channel Intent Evolution Network for Predicting Period-Aware Travel Intentions at Fliggy. 3524-3533 - Shahroz Tariq, Binh Minh Le, Simon S. Woo:
Towards an Awareness of Time Series Anomaly Detection Models' Adversarial Vulnerability. 3534-3544 - Yiheng Wang, Hexi Jin, Guanjie Zheng:
CTRL: Cooperative Traffic Tolling via Reinforcement Learning. 3545-3554 - Ze Wang, Guogang Liao, Xiaowen Shi, Xiaoxu Wu, Chuheng Zhang, Yongkang Wang, Xingxing Wang, Dong Wang:
Learning List-wise Representation in Reinforcement Learning for Ads Allocation with Multiple Auxiliary Tasks. 3555-3564 - Deguo Xia, Jizhou Huang, Jianzhong Yang, Xiyan Liu, Haifeng Wang:
DuARUS: Automatic Geo-object Change Detection with Street-view Imagery for Updating Road Database at Baidu Maps. 3565-3574 - Deguo Xia, Xiyan Liu, Wei Zhang, Hui Zhao, Chengzhou Li, Weiming Zhang, Jizhou Huang, Haifeng Wang:
DuTraffic: Live Traffic Condition Prediction with Trajectory Data and Street Views at Baidu Maps. 3575-3583 - Sheng Xiang, Dawei Cheng, Chencheng Shang, Ying Zhang, Yuqi Liang:
Temporal and Heterogeneous Graph Neural Network for Financial Time Series Prediction. 3584-3593 - Zhiyuan Yao, Zihan Ding, Thomas H. Clausen:
Multi-Agent Reinforcement Learning for Network Load Balancing in Data Center. 3594-3603 - Congde Yuan, Mengzhuo Guo, Chaoneng Xiang, Shuangyang Wang, Guoqing Song, Qingpeng Zhang:
An Actor-critic Reinforcement Learning Model for Optimal Bidding in Online Display Advertising. 3604-3613 - Yiping Yuan, Ajith Muralidharan, Preetam Nandy, Miao Cheng, Prakruthi Prabhakar:
Offline Reinforcement Learning for Mobile Notifications. 3614-3623 - Won Joon Yun, David Mohaisen, Soyi Jung, Jong-Kook Kim, Joongheon Kim:
Hierarchical Reinforcement Learning using Gaussian Random Trajectory Generation in Autonomous Furniture Assembly. 3624-3633 - Zhiyuan Zeng, Yuzhi Huang, Tianshu Wu, Hongbo Deng, Jian Xu, Bo Zheng:
Graph-based Weakly Supervised Framework for Semantic Relevance Learning in E-commerce. 3634-3643 - Chaoyun Zhang, Kai Wang, Hao Chen, Ge Fan, Yingjie Li, Lifang Wu, Bingchao Zheng:
QuickSkill: Novice Skill Estimation in Online Multiplayer Games. 3644-3653 - Li Lyna Zhang, Youkow Homma, Yujing Wang, Min Wu, Mao Yang, Ruofei Zhang, Ting Cao, Wei Shen:
SwiftPruner: Reinforced Evolutionary Pruning for Efficient Ad Relevance. 3654-3663 - Shiqi Zhang, Jiachen Sun, Wenqing Lin, Xiaokui Xiao, Bo Tang:
Measuring Friendship Closeness: A Perspective of Social Identity Theory. 3664-3673 - Yuanliang Zhang, Xiaofeng Wang, Jinxin Hu, Ke Gao, Chenyi Lei, Fei Fang:
Scenario-Adaptive and Self-Supervised Model for Multi-Scenario Personalized Recommendation. 3674-3683 - Yujing Zhang, Zhangming Chan, Shuhao Xu, Weijie Bian, Shuguang Han, Hongbo Deng, Bo Zheng:
KEEP: An Industrial Pre-Training Framework for Online Recommendation via Knowledge Extraction and Plugging. 3684-3693 - Xinyi Zheng, Ryan A. Rossi, Nesreen K. Ahmed, Dominik Moritz:
Network Report: A Structured Description for Network Datasets. 3694-3704 - Zimu Zheng, Yunzhe Li, Han Song, Lanjun Wang, Fei Xia:
Towards Edge-Cloud Collaborative Machine Learning: A Quality-aware Task Partition Framework. 3705-3714 - Jun Zhou, Feng Qi, Zhigang Hua, Daohong Jian, Ziqi Liu, Hua Wu:
A Practical Distributed ADMM Solver for Billion-Scale Generalized Assignment Problems. 3715-3724 - Fanwei Zhu, Zulong Chen, Fan Zhang, Jiazhen Lou, Hong Wen, Shui Liu, Qi Rao, Tengfei Yuan, Shenghua Ni, Jinxin Hu, Fuzhen Sun, Quan Lu:
SASNet: Stage-aware Sequential Matching for Online Travel Recommendation. 3725-3734 - Haoren Zhu, Pengfei Zhao, Yiu-Pong Chan, Hong Kang, Dik Lun Lee:
Breast Cancer Early Detection with Time Series Classification. 3735-3745 - Rui Zhu, Yiming Zhao, Wei Qu, Zhongyi Liu, Chenliang Li:
Cross-Domain Product Search with Knowledge Graph. 3746-3755 - Lixin Zou, Changying Hao, Hengyi Cai, Shuaiqiang Wang, Suqi Cheng, Zhicong Cheng, Wenwen Ye, Simiu Gu, Dawei Yin:
Approximated Doubly Robust Search Relevance Estimation. 3756-3765
CIKM'22 Short Papers
- Nidhi Ahlawat, Amit Awekar:
Scaling Up Mass-Based Clustering. 3781-3785 - Mehdi Akbarian Rastaghi, Ehsan Kamalloo, Davood Rafiei:
Probing the Robustness of Pre-trained Language Models for Entity Matching. 3786-3790 - Irfan Al-Hussaini, Cassie S. Mitchell:
SERF: Interpretable Sleep Staging using Embeddings, Rules, and Features. 3791-3795 - Pegah Alizadeh, Aomar Osmani, Sammy Taleb:
Improving Imitation Learning by Merging Experts Trajectories. 3796-3800 - Sophia Althammer, Sebastian Hofstätter, Suzan Verberne, Allan Hanbury:
TripJudge: A Relevance Judgement Test Collection for TripClick Health Retrieval. 3801-3805 - Vito Walter Anelli, Giovanni Maria Biancofiore, Alessandro De Bellis, Tommaso Di Noia, Eugenio Di Sciascio:
Interpretability of BERT Latent Space through Knowledge Graphs. 3806-3810 - Negar Arabzadeh, Mahsa Seifikar, Charles L. A. Clarke:
Unsupervised Question Clarity Prediction through Retrieved Item Coherency. 3811-3816 - Carmelo Ardito, Yashar Deldjoo, Tommaso Di Noia, Eugenio Di Sciascio, Fatemeh Nazary:
IEEE13-AdvAttack A Novel Dataset for Benchmarking the Power of Adversarial Attacks against Fault Prediction Systems in Smart Electrical Grid. 3817-3821 - Elias Bassani, Pranav Kasela, Alessandro Raganato, Gabriella Pasi:
A Multi-Domain Benchmark for Personalized Search Evaluation. 3822-3827 - Ali Behrouz, Farnoosh Hashemi:
CS-MLGCN: Multiplex Graph Convolutional Networks for Community Search in Multiplex Networks. 3828-3832 - Tanya Boone-Sifuentes, Mohamed Reda Bouadjenek, Imran Razzak, Hakim Hacid, Asef Nazari:
A Mask-based Output Layer for Multi-level Hierarchical Classification. 3833-3837 - Tanya Boone-Sifuentes, Asef Nazari, Imran Razzak, Mohamed Reda Bouadjenek, Antonio Robles-Kelly, Daniel Ierodiaconou, Elizabeth S. Oh:
Marine-tree: A Large-scale Marine Organisms Dataset for Hierarchical Image Classification. 3838-3842 - Derun Cai, Moxian Song, Chenxi Sun, Baofeng Zhang, Shenda Hong, Hongyan Li:
Deep Ordinal Neural Network for Length of Stay Estimation in the Intensive Care Units. 3843-3847 - Shubham Chatterjee, Laura Dietz:
Predicting Guiding Entities for Entity Aspect Linking. 3848-3852 - Jiahao Chen, Shuyan Huang, Zitao Liu, Weiqi Luo:
DialogID: A Dialogic Instruction Dataset for Improving Teaching Effectiveness in Online Environments. 3853-3857 - Lu Chen, Ruqing Zhang, Jiafeng Guo, Yixing Fan, Xueqi Cheng:
Discriminative Language Model via Self-Teaching for Dense Retrieval. 3858-3862 - Mingzhi Chen, Quanlong Guan, Yizhou He, Zhenyu He, Liangda Fang, Weiqi Luo:
Knowledge Tracing Model with Learning and Forgetting Behavior. 3863-3867 - Wei Chen, Songqiao Han, Hailiang Huang:
An Empirical Cross Domain-Specific Entity Recognition with Domain Vector. 3868-3872 - Weiling Chen, Sheng Lun Benjamin Chua, Stefan Winkler, See-Kiong Ng:
Trusted Media Challenge Dataset and User Study. 3873-3877 - Xiusi Chen, Jyun-Yu Jiang, Wei Wang:
Scalable Graph Representation Learning via Locality-Sensitive Hashing. 3878-3882 - Zhongde Chen, Ruize Wu, Cong Jiang, Honghui Li, Xin Dong, Can Long, Yong He, Lei Cheng, Linjian Mo:
CFS-MTL: A Causal Feature Selection Mechanism for Multi-task Learning via Pseudo-intervention. 3883-3887 - Yuan Cheng:
Dynamic Explicit Embedding Representation for Numerical Features in Deep CTR Prediction. 3888-3892 - Luca Colomba, Alessandro Farasin, Simone Monaco, Salvatore Greco, Paolo Garza, Daniele Apiletti, Elena Baralis, Tania Cerquitelli:
A Dataset for Burned Area Delineation and Severity Estimation from Satellite Imagery. 3893-3897 - Hejie Cui, Zijie Lu, Pan Li, Carl Yang:
On Positional and Structural Node Features for Graph Neural Networks on Non-attributed Graphs. 3898-3902 - Quanyu Dai, Yalei Lv, Jieming Zhu, Junjie Ye, Zhenhua Dong, Rui Zhang, Shu-Tao Xia, Ruiming Tang:
LCD: Adaptive Label Correction for Denoising Music Recommendation. 3903-3907 - Arman Dashti, Saeed Samet, Hossein Fani:
Effective Neural Team Formation via Negative Samples. 3908-3912 - Arman Dashti, Karan Saxena, Dhwani Patel, Hossein Fani:
OpeNTF: A Benchmark Library for Neural Team Formation. 3913-3917 - Ke Ding, Yong He, Xin Dong, Jieyu Yang, Liang Zhang, Ang Li, Xiaolu Zhang, Linjian Mo:
GFlow-FT: Pick a Child Network via Gradient Flow for Efficient Fine-Tuning in Recommendation Systems. 3918-3922 - Xin Dong, Ruize Wu, Chao Xiong, Hai Li, Lei Cheng, Yong He, Shiyou Qian, Jian Cao, Linjian Mo:
MASR: A Model-Agnostic Sparse Routing Architecture for Arbitrary Order Feature Sharing in Multi-Task Learning. 3923-3927 - Jun-Peng Fang, Caizhi Tang, Qing Cui, Feng Zhu, Longfei Li, Jun Zhou, Wei Zhu:
Semi-Supervised Learning with Data Augmentation for Tabular Data. 3928-3932 - Aosong Feng, Leandros Tassiulas:
Adaptive Graph Spatial-Temporal Transformer Network for Traffic Forecasting. 3933-3937 - Chakib Fettal, Lazhar Labiod, Mohamed Nadif:
Subspace Co-clustering with Two-Way Graph Convolution. 3938-3942 - Soukaïna Filali Boubrahimi, Shah Muhammad Hamdi:
On the Mining of Time Series Data Counterfactual Explanations using Barycenters. 3943-3947 - Scott Freitas, Rahul Duggal, Duen Horng Chau:
MalNet: A Large-Scale Image Database of Malicious Software. 3948-3952 - Chongming Gao, Shijun Li, Yuan Zhang, Jiawei Chen, Biao Li, Wenqiang Lei, Peng Jiang, Xiangnan He:
KuaiRand: An Unbiased Sequential Recommendation Dataset with Randomly Exposed Videos. 3953-3957 - Yingqi Gao, Zhiling Luo, Shiqian Chen, Wei Zhou:
End-to-end Multi-task Learning Framework for Spatio-Temporal Grounding in Video Corpus. 3958-3962 - Zhabiz Gharibshah, Xingquan Zhu:
Local Contrastive Feature Learning for Tabular Data. 3963-3967 - Ege Berkay Gulcan, Isin Su Ecevit, Fazli Can:
Binary Transformation Method for Multi-Label Stream Classification. 3968-3972 - Aibo Guo, Xinyi Li, Guanchen Xiao, Zhen Tan, Xiang Zhao:
SpCQL: A Semantic Parsing Dataset for Converting Natural Language into Cypher. 3973-3977 - Siyuan Guo, Tianying Liu, Wengen Li, Jihong Guan, Shuigeng Zhou:
Fusing Geometric and Scene Information for Cross-View Geo-Localization. 3978-3982 - Yuyao Guo, Haoming Li, Xiang Ao, Min Lu, Dapeng Liu, Lei Xiao, Jie Jiang, Qing He:
Calibrated Conversion Rate Prediction via Knowledge Distillation under Delayed Feedback in Online Advertising. 3983-3987 - Salim Hafid, Sebastian Schellhammer, Sandra Bringay, Konstantin Todorov, Stefan Dietze:
SciTweets - A Dataset and Annotation Framework for Detecting Scientific Online Discourse. 3988-3992 - Hui Han, Tianyu Zhao, Cheng Yang, Hongyi Zhang, Yaoqi Liu, Xiao Wang, Chuan Shi:
OpenHGNN: An Open Source Toolkit for Heterogeneous Graph Neural Network. 3993-3997 - Sangwoo Han, Eunseong Choi, Chan Lim, Hyunjung Shim, Jongwuk Lee:
Long-tail Mixup for Extreme Multi-label Classification. 3998-4002 - Helia Hashemi, Hamed Zamani, W. Bruce Croft:
Stochastic Optimization of Text Set Generation for Learning Multiple Query Intent Representations. 4003-4008 - Keqing He, Jingang Wang, Chaobo Sun, Wei Wu:
Unified Knowledge Prompt Pre-training for Customer Service Dialogues. 4009-4013 - Ming He, Xin Chen, Xinlei Hu, Changshu Li:
Causal Intervention for Sentiment De-biasing in Recommendation. 4014-4018 - Zhankui He, Handong Zhao, Zhaowen Wang, Zhe Lin, Ajinkya Kale, Julian J. McAuley:
Query-Aware Sequential Recommendation. 4019-4023 - Stella Ho, Ming Liu, Lan Du, Yunfeng Li, Longxiang Gao, Shang Gao:
Semi-supervised Continual Learning with Meta Self-training. 4024-4028 - Jingwen Hou, Xiaochen Wang, Jean-Jacques Dubois, R. Byron Rice, Amanda Haddock, Yue Wang:
Extreme Systematic Reviews: A Large Literature Screening Dataset to Support Environmental Policymaking. 4029-4033 - Yu Hou, Cong Tran, Won-Yong Shin:
META-CODE: Community Detection via Exploratory Learning in Topologically Unknown Networks. 4034-4038 - Zepeng Huai, Zhe Wang, Yifan Zhu, Peng Zhang:
AMinerGNN: Heterogeneous Graph Neural Network for Paper Click-through Rate Prediction with Fusion Query. 4039-4043 - Huiling Huang, Jianliang Gao, Cong Xu, Xiaoting Ying:
Pattern Adaptive Specialist Network for Learning Trading Patterns in Stock Market. 4044-4048 - Jianqiang Huang, Xingyuan Tang, Zhe Wang, Shaolin Jia, Yin Bai, Zhiwei Liu, Jia Cheng, Jun Lei, Yan Zhang:
Deep Presentation Bias Integrated Framework for CTR Prediction. 4049-4053 - Tiancheng Huang, Ke Xu, Donglin Wang:
GDA-HIN: A Generalized Domain Adaptive Model across Heterogeneous Information Networks. 4054-4058 - Tiancheng Huang, Feng Zhao, Donglin Wang:
LGP: Few-Shot Class-Evolutionary Learning on Dynamic Graphs. 4059-4063 - Jihyeon Hyeong, Jayoung Kim, Noseong Park, Sushil Jajodia:
An Empirical Study on the Membership Inference Attack against Tabular Data Synthesis Models. 4064-4068 - Anastasiia Iurshina, Jiaxin Pan, Rafika Boutalbi, Steffen Staab:
NILK: Entity Linking Dataset Targeting NIL-linking Cases. 4069-4073 - Myung-Hwan Jang, Yun-Yong Ko, Dongkyu Jeong, Jeong-Min Park, Sang-Wook Kim:
RealGraphGPU: A High-Performance GPU-Based Graph Engine toward Large-Scale Real-World Network Analysis. 4074-4078 - Luo Ji, Gao Liu, Mingyang Yin, Hongxia Yang:
Intra-session Context-aware Feed Recommendation in Live Systems. 4079-4083 - Wangjie Jiang, Zhihao Ye, Zijing Ou, Ruihui Zhao, Jianguang Zheng, Yi Liu, Bang Liu, Siheng Li, Yujiu Yang, Yefeng Zheng:
MCSCSet: A Specialist-annotated Dataset for Medical-domain Chinese Spelling Correction. 4084-4088 - Seungwan Jin, Hoyoung Choi, Kyungsik Han:
AI-Augmented Art Psychotherapy through a Hierarchical Co-Attention Mechanism. 4089-4093 - Zhiwen Jing, Ziliang Zhao, Yang Feng, Xiaochen Ma, Nan Wu, Shengqiao Kang, Cheng Yang, Yujia Zhang, Hao Guo:
GReS: Graphical Cross-domain Recommendation for Supply Chain Platform. 4094-4098 - Hideaki Joko, Faegheh Hasibi:
Personal Entity, Concept, and Named Entity Linking in Conversations. 4099-4103 - Jinhao Ju, Deqing Yang, Jingping Liu:
Commonsense Knowledge Base Completion with Relational Graph Attention Network and Pre-trained Language Model. 4104-4108 - Nan Ke, Tong Lin, Zhouchen Lin, Xiao-Hua Zhou, Taoyun Ji:
Convolutional Transformer Networks for Epileptic Seizure Detection. 4109-4113 - Tanya Khanna, Abhinav Ganesan, Jose Mathew, Kranthi Mitra Adusimilli:
Mining Entry Gates for Points of Interest. 4114-4117 - Dongkwan Kim, Jiho Jin, Jaimeen Ahn, Alice Oh:
Models and Benchmarks for Representation Learning of Partially Observed Subgraphs. 4118-4122 - Jun Seon Kim, Seong-Jin Ahn, Myoung Ho Kim:
Bootstrapped Knowledge Graph Embedding based on Neighbor Expansion. 4123-4127 - Minseok Kim, Jinoh Oh, Jaeyoung Do, Sungjin Lee:
Debiasing Neighbor Aggregation for Graph Neural Network in Recommender Systems. 4128-4132 - Namhyuk Kim, Dong-Kyu Chae, Jung Ah Shin, Sang-Wook Kim, Duen Horng Chau, Sunghwan Park:
Context-aware Traffic Flow Forecasting in New Roads. 4133-4137 - Taeho Kim, Yungi Kim, Yeon-Chang Lee, Won-Yong Shin, Sang-Wook Kim:
Is It Enough Just Looking at the Title?: Leveraging Body Text To Enrich Title Words Towards Accurate News Recommendation. 4138-4142 - Wonjun Ko, Heung-Il Suk:
EEG-Oriented Self-Supervised Learning and Cluster-Aware Adaptation. 4143-4147 - Gaurav Kumar, Durga Toshniwal:
Neuron Specific Pruning for Communication Efficient Federated Learning. 4148-4152 - ByeongTak Lee, Yong-Yeon Jo, Seon-Yu Lim, Youngjae Song, Joon-Myoung Kwon:
Efficient Data Augmentation Policy for Electrocardiograms. 4153-4157 - Yu-Ting Lee, Ying-Jhe Tang, Yu-Chung Cheng, Pai-Lin Chen, Tsai-Yen Li, Hen-Hsen Huang:
A Multi-grained Dataset for News Event Triggered Knowledge Update. 4158-4162 - Hai Li, Xin Dong, Lei Cheng, Linjian Mo:
A Hierarchical User Behavior Modeling Framework for Cross-Domain Click-Through Rate Prediction. 4163-4167 - Hao Li, Jie Shao, Kewen Liao, Mingjian Tang:
Do Simpler Statistical Methods Perform Better in Multivariate Long Sequence Time-Series Forecasting? 4168-4172 - Lin Li, Renbo Li, Yuquan Peng, Chuanming Huang, Jingling Yuan:
Cooperative Max-Pressure Enhanced Traffic Signal Control. 4173-4177 - Nian Li, Chen Gao, Jinghua Piao, Xin Huang, Aizhen Yue, Liang Zhou, Qingmin Liao, Yong Li:
An Exploratory Study of Information Cocoon on Short-form Video Platform. 4178-4182 - Ningning Li, Qunwei Li, Xichen Ding, Shaohu Chen, Wenliang Zhong:
Prototypical Contrastive Learning and Adaptive Interest Selection for Candidate Generation in Recommendations. 4183-4187 - Qiutong Li, Yanshen He, Cong Xu, Feng Wu, Jianliang Gao, Zhao Li:
Dual-Augment Graph Neural Network for Fraud Detection. 4188-4192 - Quanzhi Li, Yingchi Liu, Yang Chao:
CNewsTS - A Large-scale Chinese News Dataset with Hierarchical Topic Category and Summary. 4193-4198 - Xiaoting Li, Yuhang Wu, Vineeth Rakesh, Yusan Lin, Hao Yang, Fei Wang:
SmartQuery: An Active Learning Framework for Graph Neural Networks through Hybrid Uncertainty Reduction. 4199-4203 - Yangmin Li, Xinhang Yuan, Wengen Li:
An Extreme Semi-supervised Framework Based on Transformer for Network Intrusion Detection. 4204-4208 - Yongkang Li, Zipei Fan, Jixiao Zhang, Dengheng Shi, Tianqi Xu, Du Yin, Jinliang Deng, Xuan Song:
Heterogeneous Hypergraph Neural Network for Friend Recommendation with Human Mobility. 4209-4213 - Huizhi Liang, Zehao Liu, Thanet Markchom:
Relation-aware Blocking for Scalable Recommendation Systems. 4214-4218 - Zukang Liao, Michael Cheung:
Invariance Testing and Feature Selection Using Sparse Linear Layers. 4219-4223 - Susana Lima, Ricardo Morla, João Routar:
JavaScript&Me, A Tool to Support Research into Code Transformation and Browser Security. 4224-4228 - Boheng Liu, Tianrui Zhang, Ligang Miao:
Knowledge Distillation via Hypersphere Features Distribution Transfer. 4229-4233 - Hengyu Liu, Qiang Fu, Lun Du, Tiancheng Zhang, Ge Yu, Shi Han, Dongmei Zhang:
Learning Rate Perturbation: A Generic Plugin of Learning Rate Schedule towards Flatter Local Minima. 4234-4238 - Hongtao Liu, Zhepeng Lv, Qing Yang, Dongliang Xu, Qiyao Peng:
Efficient Non-sampling Expert Finding. 4239-4243 - Hongtao Liu, Zhepeng Lv, Qing Yang, Dongliang Xu, Qiyao Peng:
ExpertBert: Pretraining Expert Finding. 4244-4248 - Meng Liu, Jiaming Wu, Yong Liu:
Embedding Global and Local Influences for Dynamic Graphs. 4249-4253 - Xiangyue Liu, Xinqi Lyu, Xiangchi Zhang, Jianliang Gao, Jiamin Chen:
Memory Augmented Graph Learning Networks for Multivariate Time Series Forecasting. 4254-4258 - Sijie Long, Lin Li, Jingling Yuan, Jianquan Liu:
MomNet: Gender Prediction using Mechanism of Working Memory. 4259-4263 - Yican Lou, Jia Wu, Yunchuan Ran:
Meta-Reinforcement Learning for Multiple Traffic Signals Control. 4264-4268 - Paul Louis, Shweta Ann Jacob, Amirali Salehi-Abari:
Sampling Enclosing Subgraphs for Link Prediction. 4269-4273 - Haiping Lu, Xianyuan Liu, Shuo Zhou, Robert Turner, Peizhen Bai, Raivo E. Koot, Mustafa Chasmai, Lawrence Schobs, Hao Xu:
PyKale: Knowledge-Aware Machine Learning from Multiple Sources in Python. 4274-4278 - Yihang Lu, Haonan Xin, Rong Wang, Feiping Nie, Xuelong Li:
Scalable Multiple Kernel k-means Clustering. 4279-4283 - Yihang Lu, Xuan Zheng, Jitao Lu, Rong Wang, Feiping Nie, Xuelong Li:
Self-Paced and Discrete Multiple Kernel k-Means. 4284-4288 - Sichun Luo, Yuanzhang Xiao, Linqi Song:
Personalized Federated Recommendation via Joint Representation Learning, User Clustering, and Model Adaptation. 4289-4293 - Yan Luo, Fu-Lai Chung, Kai Chen:
Urban Region Profiling via Multi-Graph Representation Learning. 4294-4298 - Shiwei Lyu, Hongbo Cai, Chaohe Zhang, Shuai Ling, Yue Shen, Xiaodong Zeng, Jinjie Gu, Guannan Zhang, Haipeng Zhang:
See Clicks Differently: Modeling User Clicking Alternatively with Multi Classifiers for CTR Prediction. 4299-4303 - Haiping Ma, Jinwei Zhu, Shangshang Yang, Qi Liu, Haifeng Zhang, Xingyi Zhang, Yunbo Cao, Xuemin Zhao:
A Prerequisite Attention Model for Knowledge Proficiency Diagnosis of Students. 4304-4308 - Jiachen Ma, Yong Liu, Meng Liu, Meng Han:
Curriculum Contrastive Learning for Fake News Detection. 4309-4313 - Xinyu Ma, Ruqing Zhang, Jiafeng Guo, Yixing Fan, Xueqi Cheng:
A Contrastive Pre-training Approach to Discriminative Autoencoder for Dense Retrieval. 4314-4318 - Ananth Mahadevan, Arpit Merchant, Yanhao Wang, Michael Mathioudakis:
Robustness of Sketched Linear Classifiers to Adversarial Attacks. 4319-4323 - Sameen Mansha, Abdur Rehman, Shaaf Abdullah, Faisal Kamiran, Hongzhi Yin:
Locality Aware Temporal FMs for Crime Prediction. 4324-4328 - Behrooz Mansouri, Douglas W. Oard, Richard Zanibbi:
Contextualized Formula Search Using Math Abstract Meaning Representation. 4329-4333 - Sunil Kumar Maurya, Xin Liu, Tsuyoshi Murata:
Not All Neighbors are Friendly: Learning to Choose Hop Features to Improve Node Classification. 4334-4338 - Marta Moscati, Emilia Parada-Cabaleiro, Yashar Deldjoo, Eva Zangerle, Markus Schedl:
Music4All-Onion - A Large-Scale Multi-faceted Content-Centric Music Recommendation Dataset. 4339-4343 - Mohammadmehdi Naghiaei, Hossein A. Rahmani, Mohammad Aliannejadi, Nasim Sonboli:
Towards Confidence-aware Calibrated Recommendation. 4344-4348 - Tsubasa Nakagawa, Shunsuke Kitada, Hitoshi Iyatomi:
Expressions Causing Differences in Emotion Recognition in Social Networking Service Documents. 4349-4353 - Charini Nanayakkara, Peter Christen:
Locality Sensitive Hashing with Temporal and Spatial Constraints for Efficient Population Record Linkage. 4354-4358 - Jaehoon Oh, Sungnyun Kim, Namgyu Ho, Jin-Hwa Kim, Hwanjun Song, Se-Young Yun:
ReFine: Re-randomization before Fine-tuning for Cross-domain Few-shot Learning. 4359-4363 - Sejoon Oh, Ankur Bhardwaj, Jongseok Han, Sungchul Kim, Ryan A. Rossi, Srijan Kumar:
Implicit Session Contexts for Next-Item Recommendations. 4364-4368 - Meng Pang, Binghui Wang, Shengbo Chen, Yiu-ming Cheung, Rong Zou, Wei Huang:
Cross-domain Prototype Learning from Contaminated Faces via Disentangling Latent Factors. 4369-4373 - Jin-Duk Park, Cong Tran, Won-Yong Shin, Xin Cao:
GradAlign+: Empowering Gradual Network Alignment Using Attribute Augmentation. 4374-4378 - Seongsik Park, Dongkeun Yoon, Harksoo Kim:
Improving Graph-based Document-Level Relation Extraction Model with Novel Graph Structure. 4379-4383 - Luca Podo, Paola Velardi:
Plotly.plus, an Improved Dataset for Visualization Recommendation. 4384-4388 - Mario Alfonso Prado-Romero, Giovanni Stilo:
GRETEL: Graph Counterfactual Explanation Evaluation Framework. 4389-4393 - Eliana Providel, Daniel Toro, Fabián Riquelme, Marcelo Mendoza, Eduardo Puraivan:
CLNews: The First Dataset of the Chilean Social Outbreak for Disinformation Analysis. 4394-4398 - Erasmo Purificato, Ludovico Boratto, Ernesto William De Luca:
Do Graph Neural Networks Build Fair User Models? Assessing Disparate Impact and Mistreatment in Behavioural User Profiling. 4399-4403 - Hao Qian, Qintong Wu, Minghao Li, Zhengwei Wu, Zhiqiang Zhang, Jun Zhou, Lihong Gu, Jinjie Gu:
FwSeqBlock: A Field-wise Approach for Modeling Behavior Representation in Sequential Recommendation. 4404-4408 - Can Qin, Yizhou Wang, Yun Fu:
Robust Semi-supervised Domain Adaptation against Noisy Labels. 4409-4413 - Zidi Qin, Yang Liu, Qing He, Xiang Ao:
Explainable Graph-based Fraud Detection via Neural Meta-graph Search. 4414-4418 - Lin Qiu, Nils Murrugarra-Llerena, Vítor Silva, Lin Lin, Vernon M. Chinchilli:
Probabilistic Model Incorporating Auxiliary Covariates to Control FDR. 4419-4423 - Yiming Qiu, Chenyu Zhao, Han Zhang, Jingwei Zhuo, Tianhao Li, Xiaowei Zhang, Songlin Wang, Sulong Xu, Bo Long, Wen-Yun Yang:
Pre-training Tasks for User Intent Detection and Embedding Retrieval in E-commerce Search. 4424-4428 - Ismail Sabei, Ahmed Mourad, Guido Zuccon:
SCC - A Test Collection for Search in Chat Conversations. 4429-4433 - Sayan Saha, Monidipa Das, Sanghamitra Bandyopadhyay:
A Model-Centric Explainer for Graph Neural Network based Node Classification. 4434-4438 - Yuya Sasaki:
Cost-constrained Minimal Steiner Tree Enumeration. 4439-4443 - Ryoma Sato, Makoto Yamada, Hisashi Kashima:
Twin Papers: A Simple Framework of Causal Inference for Citations via Coupling. 4444-4448 - Procheta Sen, Sourav Saha, Debasis Ganguly, Manisha Verma, Dwaipayan Roy:
Measuring and Comparing the Consistency of IR Models for Query Pairs with Similar and Different Information Needs. 4449-4453 - Zezhi Shao, Zhao Zhang, Fei Wang, Wei Wei, Yongjun Xu:
Spatial-Temporal Identity: A Simple yet Effective Baseline for Multivariate Time Series Forecasting. 4454-4458 - Swati Sharma, Srinivasan Iyengar, Shun Zheng, Kshitij Kapoor, Wei Cao, Jiang Bian, Shivkumar Kalyanaraman, John Lemmon:
A Graph-based Spatiotemporal Model for Energy Markets. 4459-4463 - Dahlia Shehata, Negar Arabzadeh, Charles L. A. Clarke:
Early Stage Sparse Retrieval with Entity Linking. 4464-4469 - Jiasheng Sheng, Zelalem Gero, Joyce C. Ho:
PubMed Author-assigned Keyword Extraction (PubMedAKE) Benchmark. 4470-4474 - Kaijie Shi, Xiaozhi Wang, Jifan Yu, Lei Hou, Juanzi Li, Jingtong Wu, Dingyu Yong, Jinghui Xiao, Qun Liu:
CStory: A Chinese Large-scale News Storyline Dataset. 4475-4479 - Meihui Shi, Derong Shen, Yue Kou, Tiezheng Nie, Ge Yu:
Multi-task Generative Adversarial Network for Missing Mobility Data Imputation. 4480-4484 - Georgios Sidiropoulos, Svitlana Vakulenko, Evangelos Kanoulas:
On the Impact of Speech Recognition Errors in Passage Retrieval for Spoken Question Answering. 4485-4489 - Indu Solomon, Senthilnath Jayavelu, Md Meftahul Ferdaus, Uttam Kumar:
Data Oversampling with Structure Preserving Variational Learning. 4490-4494 - Jinbo Song, Ruoran Huang, Xinyang Wang, Wei Huang, Qian Yu, Mingming Chen, Yafei Yao, Chaosheng Fan, Changping Peng, Zhangang Lin, Jinghe Hu, Jingping Shao:
Rethinking Large-scale Pre-ranking System: Entire-chain Cross-domain Models. 4495-4499 - Junho Song, Jiwon Son, Dong-Hyuk Seo, Kyungsik Han, Namhyuk Kim, Sang-Wook Kim:
ST-GAT: A Spatio-Temporal Graph Attention Network for Accurate Traffic Speed Prediction. 4500-4504 - Mingyang Song, Yi Feng, Liping Jing:
A Preliminary Exploration of Extractive Multi-Document Summarization in Hyperbolic Space. 4505-4509 - Xiaomin Song, Qingsong Wen, Yan Li, Liang Sun:
Robust Time Series Dissimilarity Measure for Outlier Detection and Periodicity Detection. 4510-4514 - Maciej Styczen, Bing-Jyue Chen, Ya-Wen Teng, Yvonne-Anne Pignolet, Lydia Y. Chen, De-Nian Yang:
Targeted Influence with Community and Gender-Aware Seeding. 4515-4519 - Aimin Sun, Zhiguo Gong:
Multi-Aspect Embedding of Dynamic Graphs. 4520-4524 - Chenxi Sun, Moxian Song, Derun Cai, Baofeng Zhang, Shenda Hong, Hongyan Li:
Confidence-Guided Learning Process for Continuous Classification of Time Series. 4525-4529 - Mingze Sun, Weizhi Ma, Yang Liu:
Global and Local Feature Interaction with Vision Transformer for Few-shot Image Classification. 4530-4534 - Dhanasekar Sundararaman, Vivek Subramanian, Guoyin Wang, Liyan Xu, Lawrence Carin:
Improving Downstream Task Performance by Treating Numbers as Entities. 4535-4539 - Kazutoshi Umemoto:
ML-1M++: MovieLens-Compatible Additional Preferences for More Robust Offline Evaluation of Sequential Recommenders. 4540-4544 - Fatemeh Vahedian, Ruiyu Li, Puja Trivedi, Di Jin, Danai Koutra:
Leveraging the Graph Structure of Neural Network Training Dynamics. 4545-4549 - Tin Vu, Alberto Belussi, Sara Migliorini, Ahmed Eldawy:
Towards a Learned Cost Model for Distributed Spatial Join: Data, Code & Models. 4550-4554 - Yizhou Wang, Can Qin, Rongzhe Wei, Yi Xu, Yue Bai, Yun Fu:
Self-supervision Meets Adversarial Perturbation: A Novel Framework for Anomaly Detection. 4555-4559 - Ze Wang, Guogang Liao, Xiaowen Shi, Xiaoxu Wu, Chuheng Zhang, Bingqi Zhu, Yongkang Wang, Xingxing Wang, Dong Wang:
Hybrid Transfer in Deep Reinforcement Learning for Ads Allocation. 4560-4564 - Haotian Wu:
MNCM: Multi-level Network Cascades Model for Multi-Task Learning. 4565-4569 - Jiahao Wu, Wenqi Fan, Jingfan Chen, Shengcai Liu, Qing Li, Ke Tang:
Disentangled Contrastive Learning for Social Recommendation. 4570-4574 - Tianhao Wu, Xingyu Wu, Xin Wang, Shikang Liu, Huanhuan Chen:
Nonlinear Causal Discovery in Time Series. 4575-4579 - Wei Wu, Junlin He, Yu Qiao, Guoheng Fu, Li Liu, Jin Yu:
HQANN: Efficient and Robust Similarity Search for Hybrid Queries with Structured and Unstructured Constraints. 4580-4584 - Yanping Wu, Renjie Sun, Chen Chen, Xiaoyang Wang, Xianming Fu:
Efficiently Answering Minimum Reachable Label Set Queries in Edge-Labeled Graphs. 4585-4589 - Wei Xia, Weiwen Liu, Yifan Liu, Ruiming Tang:
Balancing Utility and Exposure Fairness for Integrated Ranking with Reinforcement Learning. 4590-4594 - Ruobing Xie, Cheng Ling, Shaoliang Zhang, Feng Xia, Leyu Lin:
Multi-granularity Fatigue in Recommendation. 4595-4599 - Wanyang Xu, Wengen Li, Jihong Guan, Shuigeng Zhou:
BidH: A Bidirectional Hierarchical Model for Nested Named Entity Recognition. 4600-4604 - Xianghong Xu, Kai Ouyang, Liuyin Wang, Jiaxin Zou, Yanxiong Lu, Hai-Tao Zheng, Hong-Gee Kim:
Modeling Latent Autocorrelation for Session-based Recommendation. 4605-4609 - Zelai Xu, Tan Yu, Ping Li:
Texture BERT for Cross-modal Texture Image Retrieval. 4610-4614 - Guipeng Xv, Si Chen, Chen Lin, Wanxian Guan, Xingyuan Bu, Xubin Li, Hongbo Deng, Jian Xu, Bo Zheng:
Visual Encoding and Debiasing for CTR Prediction. 4615-4619 - Guipeng Xv, Xinyi Liu, Chen Lin, Hui Li, Chenliang Li, Zhenhua Huang:
Lightweight Unbiased Multi-teacher Ensemble for Review-based Recommendation. 4620-4624 - Cheng Yang, Zhongwei Zhang, Jie Ding, Wenjun Zheng, Zhiwen Jing, Ying Li:
A Multi-granularity Network for Emotion-Cause Pair Extraction via Matrix Capsule. 4625-4629 - Jieyu Yang, Zhaoxin Huan, Yong He, Ke Ding, Liang Zhang, Xiaolu Zhang, Jun Zhou, Linjian Mo:
Task Similarity Aware Meta Learning for Cold-Start Recommendation. 4630-4634 - Xuanhua Yang, Xiaoyu Peng, Penghui Wei, Shaoguo Liu, Liang Wang, Bo Zheng:
AdaSparse: Learning Adaptively Sparse Structures for Multi-Domain Click-Through Rate Prediction. 4635-4639 - Xueying Yang, Jiamian Wang, Xujiang Zhao, Sheng Li, Zhiqiang Tao:
Calibrate Automated Graph Neural Network via Hyperparameter Uncertainty. 4640-4644 - An-Zi Yen, Hen-Hsen Huang, Hsin-Hsi Chen:
Unanswerable Question Correction and Explanation over Personal Knowledge Base. 4645-4649 - Lu Yu, Meng Li, Xiaoguang Huang, Wei Zhu, Yanming Fang, Jun Zhou, Longfei Li:
MetaRule: A Meta-path Guided Ensemble Rule Set Learning for Explainable Fraud Detection. 4650-4654 - Tan Yu, Jie Liu, Zhipeng Jin, Yi Yang, Hongliang Fei, Ping Li:
Multi-scale Multi-modal Dictionary BERT For Effective Text-image Retrieval in Multimedia Advertising. 4655-4660 - Saber Zerhoudi, Sebastian Günther, Kim Plassmeier, Timo Borst, Christin Seifert, Matthias Hagen, Michael Granitzer:
The SimIIR 2.0 Framework: User Types, Markov Model-Based Interaction Simulation, and Advanced Query Generation. 4661-4666 - Hang Zhang, Hao Wang, Guifeng Wang, Jiayu Liu, Qi Liu:
A Hyperbolic-to-Hyperbolic User Representation with Multi-aspect for Social Recommendation. 4667-4671 - Jieyu Zhang, Yujing Wang, Yaming Yang, Yang Luo, Alexander Ratner:
Binary Classification with Positive Labeling Sources. 4672-4676 - Jihai Zhang, Fangquan Lin, Cheng Yang, Ziqiang Cui:
An Enhanced Gated Graph Neural Network for E-commerce Recommendation. 4677-4681 - Jijie Zhang, Yan Yang, Yong Liu, Meng Han, Shaowei Yin:
Graph Representation Learning via Adaptive Multi-layer Neighborhood Diffusion Contrast. 4682-4686 - Lirong Zhang, Hideo Joho, Sumio Fujita, Haitao Yu:
Selectively Expanding Queries and Documents for News Background Linking. 4687-4691 - Mengqi Zhang, Yanqiao Zhu, Qiang Liu, Shu Wu, Liang Wang:
Deep Contrastive Multiview Network Embedding. 4692-4696 - Shun Zhang, Xiangkui Lu, Jun Wu:
Co-Training with Validation: A Generic Framework for Semi-Supervised Relation Extraction. 4697-4701 - Xuxin Zhang, Di Wang, Dehong Gao, Wen Jiang, Wei Ning, Yang Zhou, Chen Wang:
Revisiting Cold-Start Problem in CTR Prediction: Augmenting Embedding via GAN. 4702-4706 - Zeyu Zhang, Thuy Vu, Sunil Gandhi, Ankit Chadha, Alessandro Moschitti:
WDRASS: A Web-scale Dataset for Document Retrieval and Answer Sentence Selection. 4707-4711 - Zhenning Zhang, Boxin Du, Hanghang Tong:
SuGeR: A Subgraph-based Graph Convolutional Network Method for Bundle Recommendation. 4712-4716 - Feng Zhao, Ziqi Zhang, Donglin Wang:
KSG: Knowledge and Skill Graph. 4717-4721 - Wayne Xin Zhao, Yupeng Hou, Xingyu Pan, Chen Yang, Zeyu Zhang, Zihan Lin, Jingsen Zhang, Shuqing Bian, Jiakai Tang, Wenqi Sun, Yushuo Chen, Lanling Xu, Gaowei Zhang, Zhen Tian, Changxin Tian, Shanlei Mu, Xinyan Fan, Xu Chen, Ji-Rong Wen:
RecBole 2.0: Towards a More Up-to-Date Recommendation Library. 4722-4726 - Yao Zhao, Haipeng Zhang, Shiwei Lyu, Ruiying Jiang, Jinjie Gu, Guannan Zhang:
Multiple Instance Learning for Uplift Modeling. 4727-4731 - Huachi Zhou, Jiaqi Fan, Xiao Huang, Ka Ho Li, Zhenyu Tang, Dahai Yu:
Multi-Interest Refinement by Collaborative Attributes Modeling for Click-Through Rate Prediction. 4732-4736 - Yihao Zhou, Guoshuai Zhao, Xueming Qian:
Dialogue State Tracking Based on Hierarchical Slot Attention and Contrastive Learning. 4737-4741 - Fanwei Zhu, Wendong Xiao, Yao Yu, Ziyi Wang, Zulong Chen, Quan Lu, Zemin Liu, Minghui Wu, Shenghua Ni:
Modeling Price Elasticity for Occupancy Prediction in Hotel Dynamic Pricing. 4742-4746 - Jing Zhu, Danai Koutra, Mark Heimann:
CAPER: Coarsen, Align, Project, Refine - A General Multilevel Framework for Network Alignment. 4747-4751 - Wenqiao Zhu, Yesheng Xu, Xin Huang, Qiyang Min, Xun Zhou:
Spherical Graph Embedding for Item Retrieval in Recommendation System. 4752-4756 - Xinyu Zhu, Yongliang Shen, Weiming Lu:
Molecular Substructure-Aware Network for Drug-Drug Interaction Prediction. 4757-4761 - Soroush Ziaeinejad, Saeed Samet, Hossein Fani:
SEERa: A Framework for Community Prediction. 4762-4766
CIKM'22 Demonstrations
- Sikder Tahsin Al-Amin, Mohammad Imtiaz Nur, Aisha Farooque, Guoning Chen, Robin Varghese, Carlos Ordonez:
A Different VIM: Visualizing Incremental Machine Learning. 4783-4787 - Dana Arad, Daniel Deutch, Nave Frost:
LearnShapley: Learning to Predict Rankings of Facts Contribution Based on Query Logs. 4788-4792 - Davide Azzalini, Fabio Azzalini, Chiara Criscuolo, Tommaso Dolci, Davide Martinenghi, Sihem Amer-Yahia:
SoCRATe: A Recommendation System with Limited-Availability Items. 4793-4797 - Oana Balalau, Simon Ebel, Théo Galizzi, Ioana Manolescu, Quentin Massonnat, Antoine Deiana, Emilie Gautreau, Antoine Krempf, Thomas Pontillon, Gérald Roux, Joanna Yakin:
Statistical Claim Checking: StatCheck in Action. 4798-4802 - Nelly Barret, Ioana Manolescu, Prajna Upadhyay:
Abstra: Toward Generic Abstractions for Data of Any Model. 4803-4807 - Elias Bassani, Luca Romelli:
ranx.fuse: A Python Library for Metasearch. 4808-4812 - Sebastian Baunsgaard, Matthias Boehm, Kevin Innerebner, Mito Kehayov, Florian Lackner, Olga Ovcharenko, Arnab Phani, Tobias Rieger, David Weissteiner, Sebastian Benjamin Wrede:
Federated Data Preparation, Learning, and Debugging in Apache SystemDS. 4813-4817 - Amit Bergman, Viviane Slon, Daniel Deutch:
exML: An Explainable Maximum Likelihood Tool for Proportion Estimation in DNA Data. 4818-4822 - Wellington Cabrera, Xiantian Zhou, Ladjel Bellatreche, Carlos Ordonez:
GALGO: Scalable Graph Analytics with a Parallel DBMS. 4823-4827 - Ranran Chen, Feng Li, Drew Bieger, Fengguang Song, Yao Liang, Daniel Luna, Ryan Young, Xu Liang, Sudhakar Pamidighantam:
CyberWater: An Open Framework for Data and Model Integration in Water Science and Engineering. 4833-4837 - Shaowei Chen, Haoran Wang, Jie Liu, Jiahui Wu:
DASH: An Agile Knowledge Graph System Disentangling Demands, Algorithms, Data Resources, and Humans. 4838-4842 - Alaa El-Ebshihy, Annisa Maulida Ningtyas, Linda Andersson, Florina Piroi, Andreas Rauber:
A Platform for Argumentative Zoning Annotation and Scientific Summarization. 4843-4847 - Dongqi Fu, Yikun Ban, Hanghang Tong, Ross Maciejewski, Jingrui He:
DISCO: Comprehensive and Explainable Disinformation Detection. 4848-4852 - Jianling Gao, Nan Zhao, Ning Wang, Shuang Hao:
SmartIndex: An Index Advisor with Learned Cost Estimator. 4853-4856 - Michael N. Gubanov, Sophie Pavia, Anna Pyayt, William Goble:
Leveraging Scalable Profiling to Learn and Visualize the Latest Trustworthy COVID-19 Medical Research Findings. 4857-4861 - Siqi Han, Wanting Li, En Zhang, Jilin Shi, Wei Wang, Xuesong Lu:
MLadder: An Online Training System for Machine Learning and Data Science Education. 4862-4866 - Lin Hu, Lei Zou:
A GPU-based Graph Pattern Mining System. 4867-4871 - Liangyi Huang, Sophia Hall, Fei Shao, Arafath Nihar, Vipin Chaudhary, Yinghui Wu, Roger H. French, Xusheng Xiao:
System-Auditing, Data Analysis and Characteristics of Cyber Attacks for Big Data Systems. 4872-4876 - Yuhang Jia, Huiqi Hu, Xuan Zhou, Weining Qian:
Hockey: A Hybrid PMem-SSD Storage Engine for Analytical Database. 4877-4881 - Linge Jiang, Guiyang Wang, Zhibo Zhu, Binghao Wang, Runsheng Gan, Ziqi Liu, Jun Zhou:
A Real-time Post-processing System for Itinerary Recommendation. 4882-4886 - Maya Kapoor, Joshua Melton, Michael Ridenhour, Thomas Moyer, Siddharth Krishnan:
Flurry: A Fast Framework for Provenance Graph Generation for Representation Learning. 4887-4891 - Pavel Koupil, Jáchym Bártík, Irena Holubová:
MM-evocat: A Tool for Modelling and Evolution Management of Multi-Model Data. 4892-4896 - Ádám Kovács, Kinga Gémes, Eszter Iklódi, Gábor Recski:
POTATO: exPlainable infOrmation exTrAcTion framewOrk. 4897-4901 - Aritra Kumar Lahiri, Qinmin Vivian Hu:
Named Entity-based Question-Answering Pair Generator. 4902-4906 - Teddy Lazebnik, Amit Somech:
Demonstrating SubStrat: A Subset-Based Strategy for Faster AutoML on Large Datasets. 4907-4911 - Kevin Li, Haoyang Yang, Evan Montoya, Anish Upadhayay, Zhiyan Zhou, Jon Saad-Falcon, Duen Horng Chau:
Visual Exploration of Literature with Argo Scholar. 4912-4916 - Mingda Li, Jin Wang, Guorui Xiao, Youfu Li, Carlo Zaniolo:
Demonstration of LogicLib: An Expressive Multi-Language Interface over Scalable Datalog System. 4917-4920 - Yafei Li, Lei Gao, Haobo Sun, Huiling Li, Qingshun Wu:
PRID: An Efficient Pub/Sub Ride Hitching System. 4921-4925 - Jinshu Liu, Yunlong Xu, Fatemeh Nargesian, Gourab Ghoshal:
TSUPY: Dynamic Climate Network Analysis Library. 4926-4930 - Hitarth Narvala, Graham McDonald, Iadh Ounis:
Sensitivity Review of Large Collections by Identifying and Prioritising Coherent Documents Groups. 4931-4935 - Hoang Nguyen, Radin Hamidi Rad, Ebrahim Bagheri:
PyDHNet: A Python Library for Dynamic Heterogeneous Network Representation Learning and Evaluation. 4936-4940 - Thi Huyen Nguyen, Miroslav Shaltev, Koustav Rudra:
CrisICSum: Interpretable Classification and Summarization Platform for Crisis Events from Microblogs. 4941-4945 - Alexander Paulus, Andreas Burgdorf, Tristan Langer, André Pomp, Tobias Meisen, Sebastian Pol:
PLASMA: A Semantic Modeling Tool for Domain Experts. 4946-4950 - Periklis Perikleous, Andreas Kafkalias, Zenonas Theodosiou, Pinar Barlas, Evgenia Christoforou, Jahna Otterbacher, Gianluca Demartini, Andreas Lanitis:
How Does the Crowd Impact the Model? A Tool for Raising Awareness of Social Bias in Crowdsourced Training Data. 4951-4954 - Sayantan Polley, Subhajit Mondal, Venkata Srinath Mannam, Kushagra Kumar, Subhankar Patra, Andreas Nürnberger:
X-Vision: Explainable Image Retrieval by Re-Ranking in Semantic Space. 4955-4959 - Ying Rong, Hui Li, Kankan Zhao, Xiyue Gao, Jiangtao Cui:
DBinsight: A Tool for Interactively Understanding the Query Processing Pipeline in RDBMSs. 4960-4964 - Kassem Sabeh, Mouna Kacimi, Johann Gamper:
CAVE: Correcting Attribute Values in E-commerce Profiles. 4965-4969 - Ryoma Sato:
CLEAR: A Fully User-side Image Search System. 4970-4974 - Leixian Shen, Enya Shen, Zhiwei Tai, Yun Wang, Yuyu Luo, Jianmin Wang:
GALVIS: Visualization Construction through Example-Powered Declarative Programming. 4975-4979 - Honghao Shi, Qijian Tian, Jingyuan Wang, Jiawei Cheng:
LibEpidemic: An Open-source Framework for Modeling Infectious Disease with Bigdata. 4980-4984 - Tomasz Szydlo, Prem Prakash Jayaraman, Yinhao Li, Graham Morgan, Rajiv Ranjan:
TinyRL: Towards Reinforcement Learning on Tiny Embedded Devices. 4985-4988 - Sotirios Tzamaras, Radu Ciucanu, Marta Soare, Sihem Amer-Yahia:
FeReD: Federated Reinforcement Learning in the DBMS. 4989-4993 - Guanchu Wang, Zaid Pervaiz Bhat, Zhimeng Jiang, Yi-Wei Chen, Daochen Zha, Alfredo Costilla-Reyes, Afshin Niktash, Mehmet Görkem Ulkar, Osman Erman Okman, Xuanting Cai, Xia Ben Hu:
BED: A Real-Time Object Detection System for Edge Devices. 4994-4998 - Mengru Wang, Omar Alonso:
ClozeSearch: A Collocation Retrieval Application to Assist in Scientific Writing. 5009-5013 - Mengying Wang, Hanchao Ma, Abhishek Daundkar, Sheng Guan, Yiyang Bian, Alp Sehirlioglu, Yinghui Wu:
CRUX: Crowdsourced Materials Science Resource and Workflow Exploration. 5014-5018 - Sheng-Fu Wang, Shu-Hang Liu, Tian-Yi Che, Yi-Fan Lu, Song-Xiao Yang, Heyan Huang, Xian-Ling Mao:
Hammer PDF: An Intelligent PDF Reader for Scientific Papers. 5019-5023 - Siqi Wang, Jiashu Li, Mian Lu, Zhao Zheng, Yuqiang Chen, Bingsheng He:
A System for Time Series Feature Extraction in Federated Learning. 5024-5028 - Yifan Wang, Daisy Zhe Wang:
Extensible Database Simulator for Fast Prototyping In-Database Algorithms. 5029-5033 - Yuxiang Wang, Arijit Khan, Xiaoliang Xu, Shuzhan Ye, Shihuang Pan, Yuhan Zhou:
Approximate and Interactive Processing of Aggregate Queries on Knowledge Graphs: A Demonstration. 5034-5038 - Yingting Wu, Bingzhu Du, Yongliang Wang, Zihao Wang, Minghui Yang, Yuchi Zhang, Hai Zhao:
FinBot: A Memory-Augmented Intelligent Financial Assistant. 5039-5043 - Zhijing Wu, Jingliang Fang, Hua Xu, Kai Gao:
An In-depth Interactive and Visualized Platform for Evaluating and Analyzing MRC Models. 5044-5048 - Min Xie, Yang Liu:
Favorite+: Favorite Tuples Extraction via Regret Minimization. 5049-5053 - Linglin Yang, Lei Yang, Yue Pang, Lei Zou:
gCBO: A Cost-based Optimizer for Graph Databases. 5054-5058 - Kaiping Zheng, Thao Nguyen, Changshuo Liu, Charlene Enhui Goh, Beng Chin Ooi:
eDental: Managing Your Dental Care in Diet Diaries. 5059-5063 - Zhuoxun Zheng, Baifan Zhou, Dongzhuoran Zhou, Ahmet Soylu, Evgeny Kharlamov:
ExeKG: Executable Knowledge Graph System for User-friendly Data Analytics. 5064-5068 - Xiaoying Zhi, Yash Satsangi, Sean J. Moran, Shaltiel Eloul:
Ledgit: A Service to Diagnose Illicit Addresses on Blockchain using Multi-modal Unsupervised Learning. 5069-5073 - Dongzhuoran Zhou, Baifan Zhou, Zhuoxun Zheng, Ahmet Soylu, Ognjen Savkovic, Egor V. Kostylev, Evgeny Kharlamov:
ScheRe: Schema Reshaping for Enhancing Knowledge Graph Construction. 5074-5078
CIKM'22 Industry Day Talks
- Andrea Alfieri, Ralf Wolter, Seyyed Hadi Hashemi:
Intent Disambiguation for Task-oriented Dialogue Systems. 5079-5080 - Lei Chen, Tianqi Wang:
Utilizing Contrastive Learning To Address Long Tail Issue in Product Categorization. 5081-5082 - Jacek Dabrowski, Barbara Rychalska:
Synerise Monad - Real-Time Multimodal Behavioral Modeling. 5083-5084 - Giuseppe Di Fabbrizio:
From Product Searches to Conversational Agents for E-Commerce. 5085 - Giancarlo Fissore, Nikolaos Vasiloglou:
Simulating Complex Problems Inside a Database. 5086-5087 - Ilya Katsov:
Building Next Best Action Engines for B2C and B2B Use Cases. 5088-5089 - Lizzie Liang, Sneha Kamath, Petar Ristoski, Qunzhi Zhou, Zhe Wu:
Fifty Shades of Pink: Understanding Color in e-commerce using Knowledge Graphs. 5090-5091 - Yizhao Ni, Ferosh Jacob, Priya Gopi Achuthan, Hui Wu, Faizan Javed:
Leveraging Automated Search Relevance Evaluation to Improve System Deployment: A Case Study in Healthcare. 5092-5093 - Petar Ristoski, Aritra Mandal, Simon Becker, Anu Mandalam, Ethan Hart, Sanjika Hewavitharana, Zhe Wu, Qunzhi Zhou:
Shoe Size Resolution in Search Queries and Product Listings using Knowledge Graphs. 5094-5095 - Ravindra Babu Tallamraju:
Geographical Address Models in the Indian e-Commerce. 5096-5097 - Mi Tian, Claudia Hauff, Praveen Chandar:
On the Challenges of Podcast Search at Spotify. 5098-5099 - Chengyu Wang, Minghui Qiu, Jun Huang:
Building Natural Language Processing Applications with EasyNLP. 5100-5101 - Zhuoxun Zheng, Baifan Zhou, Dongzhuoran Zhou, Ahmet Soylu, Evgeny Kharlamov:
Executable Knowledge Graph for Transparent Machine Learning in Welding Monitoring at Bosch. 5102-5103
CIKM'22 PhD Symposium
- Usman Ahmed:
Sequence-Driven Analytics and Prediction. 5104-5107 - Mousumi Akter:
Rank-Aware Gain-Based Evaluation of Extractive Summarization. 5108-5111 - Ren Fujiwara:
C-Cast: A Real-Time Forecasting Model for a Controlled Sequence. 5112-5115 - Hao Huang:
Causal Relationship over Knowledge Graphs. 5116-5119 - Ngozi Ihemelandu:
Best Practices for Top-N Recommendation Evaluation: Candidate Set Sampling and Statistical Inference Techniques. 5120-5123 - Pooja Oza:
Identify Relevant Entities Through Text Understanding. 5124-5127 - Wei-Yao Wang:
Modeling Turn-Based Sequences for Player Tactic Applications in Badminton Matches. 5128-5131
CIKM'22 Tutorials
- Yi Fang, Hongfu Liu, Zhiqiang Tao, Mikhail Yurochkin:
Fairness of Machine Learning in Search Engines. 5132-5135 - Chao Huang, Lianghao Xia, Xiang Wang, Xiangnan He, Dawei Yin:
Self-Supervised Learning for Recommendation. 5136-5139 - Arijit Khan, Cuneyt Gurcan Akcora:
Graph-based Management and Mining of Blockchain Data. 5140-5143 - Geon Lee, Jaemin Yoo, Kijung Shin:
Mining of Real-world Hypergraphs: Patterns, Tools, and Generators. 5144-5147 - Shubhanshu Mishra, Rezvaneh Rezapour, Jana Diesner:
Information Extraction from Social Media: A Hands-on Tutorial on Tasks, Data, and Open Source Tools. 5148-5151 - Masashi Sugiyama, Tongliang Liu, Bo Han, Yang Liu, Gang Niu:
Learning and Mining with Noisy Labels. 5152-5155 - Zhou Yang, Ninghao Liu, Xia Ben Hu, Fang Jin:
Tutorial on Deep Learning Interpretation: A Data Perspective. 5156-5159
CIKM'22 Workshops
- Adrien Bibal, Tassadit Bouadi, Benoît Frénay, Luis Galárraga, José Oramas:
AIMLAI: Advances in Interpretable Machine Learning and Artificial Intelligence. 5160 - Gianluca Demartini, Jie Yang, Shazia Sadiq:
Workshop on Human-in-the-loop Data Curation. 5161-5162 - Georgios Drakopoulos, Eleanna Kafeza:
THECOG 2022 - Transforms In Behavioral And Affective Computing (Revisited). 5163-5164 - Gareth J. F. Jones, Procheta Sen, Debasis Ganguly, Emine Yilmaz:
Workshop on Proactive and Agent-Supported Information Retrieval (PASIR). 5167-5168 - Jian Kang, Shuaicheng Zhang, Bo Li, Jingrui He, Jian Pei, Dawei Zhou:
TrustLOG: The First Workshop on Trustworthy Learning on Graphs. 5169-5170 - Wei Liu, Kexin Xie, Linsey Pang, James Bailey, Longbing Cao, Yuxi Zhang:
Deep Learning for Search and Recommendation. 5171-5172 - Ida Mele, Cristina Ioana Muntean, Mohammad Aliannejadi, Nikos Voskarides:
The 2nd Workshop on Mixed-Initiative ConveRsatiOnal Systems (MICROS). 5173-5174 - Linsey Pang, Wei Liu, Lingfei Wu, Kexin Xie, Stephen D. Guo, Raghav Chalapathy, Musen Wen:
Applied Machine Learning Methods for Time Series Forecasting. 5175-5176 - Hua Wei, Guni Sheron, Cathy Wu, Sanjay Chawla, Zhenhui Li:
The Third Workshop on Data-driven Intelligent Transportation. 5177-5178 - Carl Yang, Xiaoxiao Li, Nathalie Baracaldo, Neil Shah, Chaoyang He, Lingjuan Lyu, Lichao Sun, Salman Avestimehr:
The 1st International Workshop on Federated Learning with Graph Data (FedGraph). 5179-5180 - Philip S. Yu, Olivera Kotevska, Tyler Derr:
PAS: Privacy Algorithms in Systems. 5181-5182
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
last updated on 2025-02-07 23:35 CET by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
