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ORCID29th DASFAA 2024: Gifu, Japan - Part VII
- Makoto Onizuka
, Jae-Gil Lee, Yongxin Tong, Chuan Xiao, Yoshiharu Ishikawa, Sihem Amer-Yahia, H. V. Jagadish, Kejing Lu:
Database Systems for Advanced Applications - 29th International Conference, DASFAA 2024, Gifu, Japan, July 2-5, 2024, Proceedings, Part VII. Lecture Notes in Computer Science 14856, Springer 2024, ISBN 978-981-97-5574-5
Emerging Application
- Xiaofang Sun, Yonghui Xu, Ning Liu, Yongqing Zheng, Lizhen Cui:
Multi-scale Residual Graph Attention Network for Major Depressive Disorder Recognition. 3-18 - Tianlong Zhang, Chang Gao, Yuxiang Zeng, Shuyuan Li, Yi Xu, Yuanyuan Zhang:
Flight Planning at Scale: A Bipartite Matching Based Approach. 19-36 - Yang Zhang, Zhewei Wei, Wenbing Huang, Chongxuan Li:
HierAffinity: Predicting Protein-Ligand Binding Affinity With Hierarchical Modeling. 37-52 - Quanlin Yu, Yuyang Xia, Shuncheng Liu, Weijie Lian, Rui Hu, Zhengzhuo Zhang, Shaozhi Wu, Kai Zheng, Han Su:
MODUS: An Impact-Aware Decision Framework with Adaptive Fusion for Connected Autonomous Vehicles. 53-69 - Kun Qian, Jinping Jia, Zhao Zhang, Xiang Li, Yanqin Yang, Cheqing Jin:
DS-Ponzi: Anti-jamming Detection of Ponzi Scheme on Ethereum Utilizing Dynamic-Static Features of Smart Contract Codes. 70-86 - Peiliang Zhang, Jingling Yuan, Lin Li, Wen Luo, Jiwei Hu, Xin Li:
Key Substructure Learning with Chemical Intuition for Material Property Prediction. 87-103 - Kaixi Hu, Lin Li, Qing Xie, Xiaohui Tao, Guandong Xu:
CrimeAlarm: Towards Intensive Intent Dynamics in Fine-Grained Crime Prediction. 104-120 - Zexu Sun, Dugang Liu, Xing Tang, Yunpeng Weng, Xiuqiang He:
Towards Effective and Efficient Multi-valued Treatment Uplift Modeling in Online Marketing. 121-138 - Yi Liu, Sayoko Soga, Xin He, Yuto Tanaka, Takashi Tomii:
Design of an Electric Vehicles' Energy Baseline Map and Application for Energy Consumption Analysis. 139-154 - Zheyu Wu, Huifang Ma, Bin Deng, Zhixin Li, Liang Chang:
Dual-Channel Dual-Scale Interactive Learning for the Prediction of Compound-Protein Interaction. 155-171 - Ping Xu, Zhiyuan Ning, Meng Xiao, Guihai Feng, Xin Li, Yuanchun Zhou, Pengfei Wang:
scCDCG: Efficient Deep Structural Clustering for Single-Cell RNA-Seq via Deep Cut-Informed Graph Embedding. 172-187 - Yang Zhang, Zhewei Wei, Wenbing Huang, Chongxuan Li:
TransPocket: Structural and Geometric Transformer for Ligand Binding Site Detection. 188-198 - Yang Wang, Xinye Wang, Chengxin He, Xiaocong Chen, Zhaohang Luo, Lei Duan, Jie Zuo:
Community-Guided Contrastive Learning with Anomaly-Aware Reconstruction for Anomaly Detection on Attributed Networks. 199-209 - Shanyang Jiang, Lan Zhang:
AdaShifter: An Online Data Annotation Framework Under Human-Machine Collaboration. 210-219 - Rui Hu, Yuze Wang, Ximu Zeng, Shuncheng Liu, Quanlin Yu, Peicong Wu, Zhengzhuo Zhang, Han Su, Kai Zheng:
Imitation Learning Decision with Driving Style Tuning for Personalized Autonomous Driving. 220-231 - Yuhan Ye, Jingbo Zhou, Shuangli Li, Congxi Xiao, Haochao Ying, Hui Xiong:
Hierarchical Cross-Level Graph Contrastive Learning for Drug-Drug Interaction Prediction. 232-242 - Jiapei Hu, Yifan Lyu, Yun Xue, Fenghuan Li, Qianhua Cai:
Representation and Granularity Joint Alignment Framework for Multimodal Sarcasm Detection on Social Media. 243-253 - Kangzhe Liu, Jianghong Ma, Shanshan Feng, Haijun Zhang, Zhao Zhang:
DRGame: Diversified Recommendation for Multi-category Video Games with Balanced Implicit Preferences. 254-263 - Ran Zhang, Xuezhi Wang, Kunpeng Liu, Yuanchun Zhou, Pengfei Wang:
M2Mol: Multi-view Multi-granularity Molecular Representation Learning for Property Prediction. 264-274 - Zexi Zhang, Lifan Zhao, Yanyan Shen, Bin Yao:
StockCL: Selective Contrastive Learning for Stock Trend Forecasting via Learnable Concepts. 275-284
Industry Papers
- Zhuoxi Bai, Kuo Su, Xinyi Zhu, Yun Xiong:
Improving Alignment and Uniformity of Expert Representation with Contrastive Learning for Mixture-of-Experts Model. 287-299 - Guolin Shao, Zeshui Xu, Xiaoxi He, Hong Rao, Wei Huang, Wenying Duan:
Novel UGA Homologous URL Recognition in Real-World Financial Cybercrimes: Self-supervised Deep Learning of URL Semantics. 300-312 - Yue Zhang, Xinxing Yang, Feng Zhu, Longfei Li, Linbo Jiang, Jun Zhou:
Distributed Meta-learning for Large-Scale Multi-institution Credit Default Risk Prediction. 313-326 - Zequan Xu, Qihang Sun, Shaofeng Hu, Jieming Shi, Hui Li:
Crowdsourcing Fraud Detection Over Heterogeneous Temporal MMMA Graph. 327-339 - Jianjian Yin, Ningkang Peng, Yi Chen, Zhichao Zheng, Yanhui Gu, Junsheng Zhou:
Class-Level Multiple Distributions Representation are Necessary for Semantic Segmentation. 340-351 - Shijia Wang, Yi Zheng, Qiang Xiao, Yilong Zhao, Qimeng Yang, Chuanjiang Luo:
Sparsity-Aware Personalized Pattern Extractor Network for Music Multi-task Learning. 352-363 - Ewout Gelling, George Fletcher, Michael Schmidt:
Statement Graphs: Unifying the Graph Data Model Landscape. 364-376 - Ryo Shirai, Ryo Imai, Seng Pei Liew, Daichi Amagata, Tsubasa Takahashi, Takahiro Hara:
Estimating Visited Stores Through Positive-Unlabeled Learning. 377-389 - Shenyu Zhang, Yu Li, Rui Wu, Xiutian Huang, Yongrui Chen, Wenhao Xu, Guilin Qi:
DEE: Dual-Stage Explainable Evaluation Method for Text Generation. 390-401 - Runzhe Wang, Gaofeng Xu, Guilin Qi, Yun Li, Yongrui Chen, Songlin Zhai, Yuxin Zhang, Rihui Jin, Nijun Li, Qianren Wang:
Attributed Triple Extraction by Combination Under Contrastive Learning. 402-414 - Yu Li, Shenyu Zhang, Rui Wu, Xiutian Huang, Yongrui Chen, Wenhao Xu, Guilin Qi, Dehai Min:
MATEval: A Multi-agent Discussion Framework for Advancing Open-Ended Text Evaluation. 415-426 - Ruobing Xie, Xin Chen, Su Yan, Jinghan Chen, Xu Zhang, Xingwu Sun, Leyu Lin, Zhanhui Kang:
Style Controlling in Recommendation. 427-431 - Yunong Chen, Men Zhang, Yuying Lin, Hongyuan Xu, Dongming Zhao, Yanlong Wen:
Attribute-Enhanced Temporal Point Process for Personalized User Behavior Prediction. 432-435 - Borui Ye, Shuo Yang, Meiqi Zhu, Binbin Hu, Daixin Wang, Zhiqiang Zhang, Youqiang He, Zhiyang Hu, Huimei He, Jun Zhou:
Granola: Graph Neural Network Tackling Tabular Data for Online Loan Default Prediction. 436-440
Demo Papers
- Pei-Yuan Lai, Yu-Xuan Zhou, Cheng Li, Shi-Yu Liu, Xiao-Dong Liao, De-Zhang Liao, Chang-Dong Wang:
OR3S: Organized R&D Resource Recommendation System Based on Task-Driven and Knowledge Graph Pre-training. 443-446 - Yipeng Liu, Chuangxin Fang, Yuming Lin:
EPEI: An RDF Retrieval System Based on Efficient Predicate-Entity Indexing. 447-451 - Zhiyu Liang, Yihao Dai, Bo Zheng, Hongzhi Wang:
Cnos-Connector: Enabling Seamless Connection with CnosDB to Facilitate Large-Scale Time-Series Data Management and Analytics. 452-456 - Zhiyu Liang, Tingting Zhang, Bo Zheng, Hongzhi Wang:
Towards Real-Time Data Ingestion for Industrial Internet of Things. 457-461 - Zhiyu Liang, Linhan Jia, Bo Zheng, Hongzhi Wang:
iMonitor: A Real-Time Monitoring Platform for Industrial Internet of Things. 462-465 - Yongzhe Jia, Jianguo Wei, Xin Wang, Dawei Xu, Xintian Zuo, Yuxuan Yang, Xuan Xiao:
Graphologue: Bridging RDBMS and Graph Databases with Natural Language Interfaces. 466-470 - Xinyu Chen, Rui Zhang, Jianwei Zhang:
Prompt Based Intelligent Service Method for Public Code Review. 471-475 - Wenrui Huang, Xiaoya Xia, Aoying Zhou, Xuan Zhou, Wei Wang, Shengyu Zhao, Zhiyong Wang, Sikang Bian:
OSGraph: A Data Visualization Insight Platform for Open Source Community. 476-479 - Yuean Niu, Zhizhen Xu, Yushu Sun, Chen Xu:
StreamRec: A Recommendation Inference System with CUDA Stream Acceleration. 480-483 - Vincent-Nam Dang, Nathalie Aussenac-Gilles, Imen Megdiche, Franck Ravat:
OSDN: An Open Science Data Network for Interdisciplinary Research. 484-488 - An-Truong Tran Phan, Laurent d'Orazio, Thuong-Cang Phan, Le Gruenwald:
GUESS: MonitorinG Join qUery Execution in Serverless and Serverful Spark. 489-493 - Changsong Yang, Yixiong Tang, Yong Ding, Hai Liang, Ruwen Zhao:
LifeBank: Integrating Blockchain Technology with Blood Donation Systems. 494-497 - Lan You, Jiaheng Peng, Wei Wang, Yuchun Xia, Kaicheng Zhou:
Data Driven Visualized Analysis: Visualizing Global Trends of GitHub Developers with Fine-Grained Geo-Details. 498-502 - Yongchang Zhang, Rui Zhang, Wenhu Huang, Xiaolie Wu, Weiqiang Wang:
SBEVP: Ship Behavior and Encounter Scenario Visualization Platform. 503-507 - Wan D. Bae, Shayma Alkobaisi, Sartaj Bhuvaji, Siddheshwari Bankar:
SDGnE: A Synthetic Data Generation and Evaluation System for Rare Event Prediction. 508-512 - Jie Zhang, Wenxin Zhang, Mengfei Kang, Xin Zhang, Lei Zhu, Xinhong Hei:
astPSL: Similarity Learning System Based on Structured and Unstructured Records. 513-517 - Michael Behringer, Dennis Treder-Tschechlov, Jannis Rapp:
Empowering Domain Experts to Enhance Clustering Results Through Interactive Refinement. 518-522 - Alexander Rasin, Nick Scope, Ben Lenard, Moaz Reyad, James Wagner:
DBCompliant: Extending Database Management Systems to Support Compliance Functionality. 523-527
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