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2020 – today
- 2024
[c64]Yihua Wen
, Si Chen, Yu Tian, Wanxian Guan, Pengjie Wang, Hongbo Deng, Jian Xu, Bo Zheng, Zihao Li, Lixin Zou, Chenliang Li:
Unified Visual Preference Learning for User Intent Understanding. WSDM 2024: 816-825- 2023
- [c63]Shuai Fan, Jinping Gou, Yang Li, Jiaxing Bai, Chen Lin, Wanxian Guan, Xubin Li, Hongbo Deng, Jian Xu, Bo Zheng:
BOMGraph: Boosting Multi-scenario E-commerce Search with a Unified Graph Neural Network. CIKM 2023: 514-523 - [c62]Guipeng Xv, Chen Lin, Wanxian Guan, Jinping Gou, Xubin Li, Hongbo Deng, Jian Xu, Bo Zheng:
E-commerce Search via Content Collaborative Graph Neural Network. KDD 2023: 2885-2897 - [c61]Xiang-Rong Sheng, Jingyue Gao, Yueyao Cheng, Siran Yang, Shuguang Han, Hongbo Deng, Yuning Jiang, Jian Xu, Bo Zheng:
Joint Optimization of Ranking and Calibration with Contextualized Hybrid Model. KDD 2023: 4813-4822 - [c60]Yu Tian, Bofang Li, Si Chen, Xubin Li, Hongbo Deng, Jian Xu, Bo Zheng, Qian Wang, Chenliang Li:
Multi-Scenario Ranking with Adaptive Feature Learning. SIGIR 2023: 517-526 - [i17]Yu Tian, Bofang Li, Si Chen, Xubin Li, Hongbo Deng, Jian Xu, Bo Zheng, Qian Wang, Chenliang Li:
Multi-Scenario Ranking with Adaptive Feature Learning. CoRR abs/2306.16732 (2023) - 2022
- [j8]Jiashu Zhao, Jimmy Xiangji Huang, Hongbo Deng, Yi Chang, Long Xia:
Are Topics Interesting or Not? An LDA-based Topic-graph Probabilistic Model for Web Search Personalization. ACM Trans. Inf. Syst. 40(3): 51:1-51:24 (2022) - [c59]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. CIKM 2022: 2671-2680 - [c58]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. CIKM 2022: 3013-3022 - [c57]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. CIKM 2022: 3352-3360 - [c56]Zhiyuan Zeng, Yuzhi Huang, Tianshu Wu, Hongbo Deng, Jian Xu, Bo Zheng:
Graph-based Weakly Supervised Framework for Semantic Relevance Learning in E-commerce. CIKM 2022: 3634-3643 - [c55]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. CIKM 2022: 3684-3693 - [c54]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. CIKM 2022: 4615-4619 - [c53]Kailun Wu, Weijie Bian, Zhangming Chan, Lejian Ren, Shiming Xiang, Shuguang Han, Hongbo Deng, Bo Zheng:
Adversarial Gradient Driven Exploration for Deep Click-Through Rate Prediction. KDD 2022: 2050-2058 - [c52]Chi Chen, Hui Chen, Kangzhi Zhao, Junsheng Zhou, Li He, Hongbo Deng, Jian Xu, Bo Zheng, Yong Zhang, Chunxiao Xing:
EXTR: Click-Through Rate Prediction with Externalities in E-Commerce Sponsored Search. KDD 2022: 2732-2740 - [c51]Xinyi Liu, Wanxian Guan, Lianyun Li, Hui Li, Chen Lin, Xubin Li, Si Chen, Jian Xu, Hongbo Deng, Bo Zheng:
Pretraining Representations of Multi-modal Multi-query E-commerce Search. KDD 2022: 3429-3437 - [c50]Wenbo Su, Yuanxing Zhang, Yufeng Cai, Kaixu Ren, Pengjie Wang, Huimin Yi, Yue Song, Jing Chen, Hongbo Deng, Jian Xu, Lin Qu, Bo Zheng:
GBA: A Tuning-free Approach to Switch between Synchronous and Asynchronous Training for Recommendation Models. NeurIPS 2022 - [c49]Bencheng Yan, Pengjie Wang, Kai Zhang, Feng Li, Hongbo Deng, Jian Xu, Bo Zheng:
APG: Adaptive Parameter Generation Network for Click-Through Rate Prediction. NeurIPS 2022 - [c48]Kaiyi Lin, Xiang Zhang, Feng Li, Pengjie Wang, Qingqing Long, Hongbo Deng, Jian Xu, Bo Zheng:
Joint Optimization of Ad Ranking and Creative Selection. SIGIR 2022: 2341-2346 - [c47]Weijie Bian, Kailun Wu, Lejian Ren, Qi Pi, Yujing Zhang, Can Xiao, Xiang-Rong Sheng, Yong-Nan Zhu, Zhangming Chan, Na Mou, Xinchen Luo, Shiming Xiang, Guorui Zhou, Xiaoqiang Zhu, Hongbo Deng:
CAN: Feature Co-Action Network for Click-Through Rate Prediction. WSDM 2022: 57-65 - [c46]Yiqing Xie, Zhen Wang, Carl Yang, Yaliang Li, Bolin Ding, Hongbo Deng, Jiawei Han:
KoMen: Domain Knowledge Guided Interaction Recommendation for Emerging Scenarios. WWW 2022: 1301-1310 - [c45]Aobo Yang, Nan Wang, Renqin Cai, Hongbo Deng, Hongning Wang:
Comparative Explanations of Recommendations. WWW 2022: 3113-3123 - [i16]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. CoRR abs/2202.10226 (2022) - [i15]Wenbo Su, Yuanxing Zhang, Yufeng Cai, Kaixu Ren, Pengjie Wang, Huimin Yi, Yue Song, Jing Chen, Hongbo Deng, Jian Xu, Lin Qu, Bo Zheng:
GBA: A Tuning-free Approach to Switch between Synchronous and Asynchronous Training for Recommendation Model. CoRR abs/2205.11048 (2022) - [i14]Xiang-Rong Sheng, Jingyue Gao, Yueyao Cheng, Siran Yang, Shuguang Han, Hongbo Deng, Yuning Jiang, Jian Xu, Bo Zheng:
Joint Optimization of Ranking and Calibration with Contextualized Hybrid Model. CoRR abs/2208.06164 (2022) - [i13]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. CoRR abs/2208.10174 (2022) - [i12]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 Prediction Models. CoRR abs/2209.06053 (2022) - 2021
- [c44]Xiang-Rong Sheng, Liqin Zhao, Guorui Zhou, Xinyao Ding, Binding Dai, Qiang Luo, Siran Yang, Jingshan Lv, Chi Zhang, Hongbo Deng, Xiaoqiang Zhu:
One Model to Serve All: Star Topology Adaptive Recommender for Multi-Domain CTR Prediction. CIKM 2021: 4104-4113 - [c43]Houyi Li, Zhihong Chen, Chenliang Li, Rong Xiao, Hongbo Deng, Peng Zhang, Yongchao Liu, Haihong Tang:
Path-based Deep Network for Candidate Item Matching in Recommenders. SIGIR 2021: 1493-1502 - [c42]Junhao Zhang, Weidi Xu, Jianhui Ji, Xi Chen, Hongbo Deng, Keping Yang:
Modeling Across-Context Attention For Long-Tail Query Classification in E-commerce. WSDM 2021: 58-66 - [c41]Aobo Yang, Nan Wang, Hongbo Deng, Hongning Wang:
Explanation as a Defense of Recommendation. WSDM 2021: 1029-1037 - [c40]Xichuan Niu, Bofang Li, Chenliang Li, Jun Tan, Rong Xiao, Hongbo Deng:
Heterogeneous Graph Augmented Multi-Scenario Sharing Recommendation with Tree-Guided Expert Networks. WSDM 2021: 1038-1046 - [c39]Yatao Yang, Biyu Ma, Jun Tan, Hongbo Deng, Haikuan Huang, Zibin Zheng:
FINN: Feedback Interactive Neural Network for Intent Recommendation. WWW 2021: 1949-1958 - [c38]Shaowei Yao, Jiwei Tan, Xi Chen, Keping Yang, Rong Xiao, Hongbo Deng, Xiaojun Wan:
Learning a Product Relevance Model from Click-Through Data in E-Commerce. WWW 2021: 2890-2899 - [i11]Aobo Yang, Nan Wang, Hongbo Deng, Hongning Wang:
Explanation as a Defense of Recommendation. CoRR abs/2101.09656 (2021) - [i10]Shaowei Yao, Jiwei Tan, Xi Chen, Keping Yang, Rong Xiao, Hongbo Deng, Xiaojun Wan:
Learning a Product Relevance Model from Click-Through Data in E-Commerce. CoRR abs/2102.07098 (2021) - [i9]Houyi Li, Zhihong Chen, Chenliang Li, Rong Xiao, Hongbo Deng, Peng Zhang, Yongchao Liu, Haihong Tang:
Path-based Deep Network for Candidate Item Matching in Recommenders. CoRR abs/2105.08246 (2021) - [i8]Yule Wang, Qiang Luo, Yue Ding, Dong Wang, Hongbo Deng:
DemiNet: Dependency-Aware Multi-Interest Network with Self-Supervised Graph Learning for Click-Through Rate Prediction. CoRR abs/2109.12512 (2021) - [i7]Aobo Yang, Nan Wang, Renqin Cai, Hongbo Deng, Hongning Wang:
Comparative Explanations of Recommendations. CoRR abs/2111.00670 (2021) - [i6]Kailun Wu, Weijie Bian, Zhangming Chan, Lejian Ren, Shiming Xiang, Shuguang Han, Hongbo Deng, Bo Zheng:
Adversarial Gradient Driven Exploration for Deep Click-Through Rate Prediction. CoRR abs/2112.11136 (2021) - 2020
- [c37]Xichuan Niu, Bofang Li, Chenliang Li, Rong Xiao, Haochuan Sun, Honggang Wang, Hongbo Deng, Zhenzhong Chen:
Gated Heterogeneous Graph Representation Learning for Shop Search in E-commerce. CIKM 2020: 2165-2168 - [c36]Tong Zhang, Baoliang Cui, Zhen Cui, Haikuan Huang, Jian Yang, Hongbo Deng, Bo Zheng:
Cross-Graph Convolution Learning for Large-Scale Text-Picture Shopping Guide in E-Commerce Search. ICDE 2020: 1657-1666 - [c35]Daoyuan Chen, Yaliang Li, Minghui Qiu, Zhen Wang, Bofang Li, Bolin Ding, Hongbo Deng, Jun Huang, Wei Lin, Jingren Zhou:
AdaBERT: Task-Adaptive BERT Compression with Differentiable Neural Architecture Search. IJCAI 2020: 2463-2469 - [c34]Di Yin, Jiwei Tan, Zhe Zhang, Hongbo Deng, Shujian Huang, Jiajun Chen:
Learning to Generate Personalized Query Auto-Completions via a Multi-View Multi-Task Attentive Approach. KDD 2020: 2998-3007 - [c33]Xichuan Niu, Bofang Li, Chenliang Li, Rong Xiao, Haochuan Sun, Hongbo Deng, Zhenzhong Chen:
A Dual Heterogeneous Graph Attention Network to Improve Long-Tail Performance for Shop Search in E-Commerce. KDD 2020: 3405-3415 - [c32]Cheng Zhao, Chenliang Li, Rong Xiao, Hongbo Deng, Aixin Sun:
CATN: Cross-Domain Recommendation for Cold-Start Users via Aspect Transfer Network. SIGIR 2020: 229-238 - [c31]Zhihong Chen, Rong Xiao, Chenliang Li, Gangfeng Ye, Haochuan Sun, Hongbo Deng:
ESAM: Discriminative Domain Adaptation with Non-Displayed Items to Improve Long-Tail Performance. SIGIR 2020: 579-588 - [i5]Daoyuan Chen, Yaliang Li, Minghui Qiu, Zhen Wang, Bofang Li, Bolin Ding, Hongbo Deng, Jun Huang, Wei Lin, Jingren Zhou:
AdaBERT: Task-Adaptive BERT Compression with Differentiable Neural Architecture Search. CoRR abs/2001.04246 (2020) - [i4]Zhihong Chen, Rong Xiao, Chenliang Li, Gangfeng Ye, Haochuan Sun, Hongbo Deng:
ESAM: Discriminative Domain Adaptation with Non-Displayed Items to Improve Long-Tail Performance. CoRR abs/2005.10545 (2020) - [i3]Cheng Zhao, Chenliang Li, Rong Xiao, Hongbo Deng, Aixin Sun:
CATN: Cross-Domain Recommendation for Cold-Start Users via Aspect Transfer Network. CoRR abs/2005.10549 (2020)
2010 – 2019
- 2019
- [c30]Yatao Yang, Jun Tan, Hongbo Deng, Zibin Zheng, Yutong Lu, Xiangke Liao:
An Active and Deep Semantic Matching Framework for Query Rewrite in E-Commercial Search Engine. CIKM 2019: 309-318 - [c29]Qianlong Liu, Baoliang Cui, Zhongyu Wei, Baolin Peng, Haikuan Huang, Hongbo Deng, Jianye Hao, Xuanjing Huang, Kam-Fai Wong:
Building Personalized Simulator for Interactive Search. IJCAI 2019: 5109-5115 - [c28]Cheng Li, Mingyang Zhang, Michael Bendersky, Hongbo Deng, Donald Metzler, Marc Najork:
Multi-view Embedding-based Synonyms for Email Search. SIGIR 2019: 575-584 - [c27]Fei Xiao, Zhen Wang, Haikuan Huang, Jun Huang, Xi Chen, Hongbo Deng, Minghui Qiu, Xiaoli Gong:
AliISA: Creating an Interactive Search Experience in E-commerce Platforms. SIGIR 2019: 1305-1308 - [i2]Dong Xu, Jianhui Ji, Haikuan Huang, Hongbo Deng, Wu-Jun Li:
Gated Group Self-Attention for Answer Selection. CoRR abs/1905.10720 (2019) - 2017
- [j7]Yingfei Wang, Hua Ouyang, Hongbo Deng, Yi Chang:
Learning Online Trends for Interactive Query Auto-Completion. IEEE Trans. Knowl. Data Eng. 29(11): 2442-2454 (2017) - [c26]Liangda Li, Hongbo Deng, Jianhui Chen, Yi Chang:
Learning Parametric Models for Context-Aware Query Auto-Completion via Hawkes Processes. WSDM 2017: 131-139 - [c25]Liangda Li, Hongbo Deng, Anlei Dong, Yi Chang, Ricardo Baeza-Yates, Hongyuan Zha:
Exploring Query Auto-Completion and Click Logs for Contextual-Aware Web Search and Query Suggestion. WWW 2017: 539-548 - 2016
- [c24]Dawei Yin, Yuening Hu, Jiliang Tang, Tim Daly Jr., Mianwei Zhou, Hua Ouyang, Jianhui Chen, Changsung Kang, Hongbo Deng, Chikashi Nobata, Jean-Marc Langlois, Yi Chang:
Ranking Relevance in Yahoo Search. KDD 2016: 323-332 - [c23]Amit Goyal, Jianfeng Gao, Hongbo Deng, Yi Chang:
Query Understanding for Search on All Devices at WSDM 2016. WSDM 2016: 691-692 - [c22]Liangda Li, Hongbo Deng, Yunlong He, Anlei Dong, Yi Chang, Hongyuan Zha:
Behavior Driven Topic Transition for Search Task Identification. WWW 2016: 555-565 - [c21]Aston Zhang, Amit Goyal, Ricardo Baeza-Yates, Yi Chang, Jiawei Han, Carl A. Gunter, Hongbo Deng:
Towards Mobile Query Auto-Completion: An Efficient Mobile Application-Aware Approach. WWW 2016: 579-590 - 2015
- [c20]Liangda Li, Hongbo Deng, Anlei Dong, Yi Chang, Hongyuan Zha, Ricardo Baeza-Yates:
Analyzing User's Sequential Behavior in Query Auto-Completion via Markov Processes. SIGIR 2015: 123-132 - [c19]Aston Zhang, Amit Goyal, Weize Kong, Hongbo Deng, Anlei Dong, Yi Chang, Carl A. Gunter, Jiawei Han:
adaQAC: Adaptive Query Auto-Completion via Implicit Negative Feedback. SIGIR 2015: 143-152 - 2014
- [j6]Hongbo Deng, Jiawei Han, Hao Li, Heng Ji, Hongning Wang, Yue Lu:
Exploring and inferring user-user pseudo-friendship for sentiment analysis with heterogeneous networks. Stat. Anal. Data Min. 7(4): 308-321 (2014) - [j5]Liang Chen, Jian Wu, Hengyi Jian, Hongbo Deng, Zhaohui Wu:
Instant Recommendation for Web Services Composition. IEEE Trans. Serv. Comput. 7(4): 586-598 (2014) - [c18]Liangda Li, Hongbo Deng, Anlei Dong, Yi Chang, Hongyuan Zha:
Identifying and labeling search tasks via query-based hawkes processes. KDD 2014: 731-740 - [c17]Yanen Li, Anlei Dong, Hongning Wang, Hongbo Deng, Yi Chang, ChengXiang Zhai:
A two-dimensional click model for query auto-completion. SIGIR 2014: 455-464 - [p3]Hongbo Deng, Yizhou Sun, Yi Chang, Jiawei Han:
Probabilistic Models for Classification. Data Classification: Algorithms and Applications 2014: 65-86 - 2013
- [j4]Jianbin Huang, Heli Sun, Jianmei Kang, Junjie Qi, Hongbo Deng, Qinbao Song:
ESC: An efficient synchronization-based clustering algorithm. Knowl. Based Syst. 40: 111-122 (2013) - [j3]Jianbin Huang, Heli Sun, Qinbao Song, Hongbo Deng, Jiawei Han:
Revealing Density-Based Clustering Structure from the Core-Connected Tree of a Network. IEEE Trans. Knowl. Data Eng. 25(8): 1876-1889 (2013) - [c16]Hongbo Deng, Jiawei Han, Heng Ji, Hao Li, Yue Lu, Hongning Wang:
Exploring and Inferring User-User Pseudo-Friendship for Sentiment Analysis with Heterogeneous Networks. SDM 2013: 378-386 - [p2]Hongbo Deng, Jiawei Han:
Probabilistic Models for Clusterings. Data Clustering: Algorithms and Applications 2013: 61-86 - 2012
- [j2]Heng Ji, Hongbo Deng, Jiawei Han:
Uncertainty Reduction for Knowledge Discovery and Information Extraction on the World Wide Web. Proc. IEEE 100(9): 2658-2674 (2012) - [j1]Hongbo Deng, Irwin King, Michael R. Lyu:
Enhanced Models for Expertise Retrieval Using Community-Aware Strategies. IEEE Trans. Syst. Man Cybern. Part B 42(1): 93-106 (2012) - [c15]Taylor Cassidy, Heng Ji, Hongbo Deng, Jing Zheng, Jiawei Han:
Analysis and Refinement of Cross-Lingual Entity Linking. CLEF 2012: 1-12 - [c14]Hongzhao Huang, Arkaitz Zubiaga, Heng Ji, Hongbo Deng, Dong Wang, Hieu Khac Le, Tarek F. Abdelzaher, Jiawei Han, Alice Leung, John P. Hancock, Clare R. Voss:
Tweet Ranking Based on Heterogeneous Networks. COLING 2012: 1239-1256 - [c13]Hongbo Deng, Jiawei Han, Michael R. Lyu, Irwin King:
Modeling and exploiting heterogeneous bibliographic networks for expertise ranking. JCDL 2012: 71-80 - [c12]Rui Li, Shengjie Wang, Hongbo Deng, Rui Wang, Kevin Chen-Chuan Chang:
Towards social user profiling: unified and discriminative influence model for inferring home locations. KDD 2012: 1023-1031 - [p1]Yizhou Sun, Hongbo Deng, Jiawei Han:
Probabilistic Models for Text Mining. Mining Text Data 2012: 259-295 - 2011
- [c11]Hongbo Deng, Jiawei Han, Bo Zhao, Yintao Yu, Cindy Xide Lin:
Probabilistic topic models with biased propagation on heterogeneous information networks. KDD 2011: 1271-1279 - [c10]Hongbo Deng, Bo Zhao, Jiawei Han:
Collective topic modeling for heterogeneous networks. SIGIR 2011: 1109-1110 - [i1]Taylor Cassidy, Zheng Chen, Javier Artiles, Heng Ji, Hongbo Deng, Lev-Arie Ratinov, Jiawei Han, Dan Roth, Jing Zheng:
CUNY-UIUC-SRI TAC-KBP2011 Entity Linking System Description. TAC 2011 - 2010
- [c9]Jianbin Huang, Heli Sun, Jiawei Han, Hongbo Deng, Yizhou Sun, Yaguang Liu:
SHRINK: a structural clustering algorithm for detecting hierarchical communities in networks. CIKM 2010: 219-228 - [c8]Heli Sun, Jianbin Huang, Jiawei Han, Hongbo Deng, Peixiang Zhao, Boqin Feng:
gSkeletonClu: Density-Based Network Clustering via Structure-Connected Tree Division or Agglomeration. ICDM 2010: 481-490
2000 – 2009
- 2009
- [b1]Hongbo Deng:
Web mining techniques for query log analysis and expertise retrieval. Chinese University of Hong Kong, Hong Kong, 2009 - [c7]Xin Xin, Irwin King, Hongbo Deng, Michael R. Lyu:
A social recommendation framework based on multi-scale continuous conditional random fields. CIKM 2009: 1247-1256 - [c6]Hongbo Deng, Irwin King, Michael R. Lyu:
Enhancing expertise retrieval using community-aware strategies. CIKM 2009: 1733-1736 - [c5]Hongbo Deng, Michael R. Lyu, Irwin King:
A generalized Co-HITS algorithm and its application to bipartite graphs. KDD 2009: 239-248 - [c4]Hongbo Deng, Irwin King, Michael R. Lyu:
Entropy-biased models for query representation on the click graph. SIGIR 2009: 339-346 - [c3]Hongbo Deng, Michael R. Lyu, Irwin King:
Effective latent space graph-based re-ranking model with global consistency. WSDM 2009: 212-221 - 2008
- [c2]Hongbo Deng, Irwin King, Michael R. Lyu:
Formal Models for Expert Finding on DBLP Bibliography Data. ICDM 2008: 163-172 - 2007
- [c1]Hongbo Deng, Jianke Zhu, Michael R. Lyu, Irwin King:
Two-stage Multi-class AdaBoost for Facial Expression Recognition. IJCNN 2007: 3005-3010
Coauthor Index
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