| 2024 | ARTS: A System for Aggregate Related Table Search. | Junjie Xing, H. V. Jagadish |
| 2024 | KartGPS: Knowledge Base Update with Temporal Graph Pattern-based Semantic Rules. | Hao Xin, Lei Chen |
| 2024 | Trajectory-Aware Task Coalition Assignment in Spatial Crowdsourcing (Extended Abstract). | Yuan Xie, Fan Wu, Xu Zhou, Wensheng Luo, Yifang Yin, Roger Zimmermann, Keqin Li, Kenli Li |
| 2024 | An Efficient Fuzzy Stream Clustering Method Based on Granular-Ball Structure. | Jiang Xie, Minggao Dai, Shuyin Xia, Jinajinz Zhang, Guoyin Wang, Xinbo Gao |
| 2024 | Accurate Explanation Model for Image Classifiers using Class Association Embedding. | Ruitao Xie, Jingbang Chen, Limai Jiang, Rui Xiao, Yi Pan, Yunpeng Cai |
| 2024 | AntDT: A Self-Adaptive Distributed Training Framework for Leader and Straggler Nodes. | Youshao Xiao, Lin Ju, Zhenglei Zhou, Siyuan Li, Zhaoxin Huan, Dalong Zhang, Rujie Jiang, Lin Wang, Xiaolu Zhang, Lei Liang, Jun Zhou |
| 2024 | REGER: Reordering Time Series Data for Regression Encoding. | Jinzhao Xiao, Wendi He, Shaoxu Song, Xiangdong Huang, Chen Wang, Jianmin Wang |
| 2024 | MorphStream: Scalable Processing of Transactions over Streams. | Siqi Xiang, Zhonghao Yang, Jianjun Zhao, Yancan Mao, Shuhao Zhang |
| 2024 | Preserving Topological Feature with Sign-of-Determinant Predicates in Lossy Compression: A Case Study of Vector Field Critical Points. | Mingze Xia, Sheng Di, Franck Cappello, Pu Jiao, Kai Zhao, Jinyang Liu, Xuan Wu, Xin Liang, Hanqi Guo |
| 2024 | DiscoGNN: A Sample-Efficient Framework for Self-Supervised Graph Representation Learning. | Jun Xia, Shaorong Chen, Yue Liu, Zhangyang Gao, Jiangbin Zheng, Xihong Yang, Stan Z. Li |
| 2024 | Parameterized Decision-Making with Multi-Modality Perception for Autonomous Driving. | Yuyang Xia, Shuncheng Liu, Quanlin Yu, Liwei Deng, You Zhang, Han Su, Kai Zheng |
| 2024 | Attributed Network Embedding in Streaming Style. | Anbiao Wu, Ye Yuan, Changsheng Li, Yuliang Ma, Hao Zhang |
| 2024 | Differentiable and Scalable Generative Adversarial Models for Data Imputation (Extended Abstract). | Yangyang Wu, Jun Wang, Xiaoye Miao, Wenjia Wang, Jianwei Yin |
| 2024 | Scalable Overspeed Item Detection in Streams. | Yuhan Wu, Hanbo Wu, Chengjun Jia, Bo Peng, Ziyun Zhang, Tong Yang, Peiqing Chen, Kaicheng Yang, Bin Cui |
| 2024 | Efficient Maximal Temporal Plex Enumeration. | Yanping Wu, Renjie Sun, Xiaoyang Wang, Ying Zhang, Lu Qin, Wenjie Zhang, Xuemin Lin |
| 2024 | When Multi-Behavior Meets Multi-Interest: Multi-Behavior Sequential Recommendation with Multi-Interest Self-Supervised Learning. | Binquan Wu, Yu Cheng, Haitao Yuan, Qianli Ma |
| 2024 | BSL: Understanding and Improving Softmax Loss for Recommendation. | Junkang Wu, Jiawei Chen, Jiancan Wu, Wentao Shi, Jizhi Zhang, Xiang Wang |
| 2024 | V2V: Efficiently Synthesizing Video Results for Video Queries. | Dominik Winecki, Arnab Nandi |
| 2024 | Across Images and Graphs for Question Answering. | Zhenyu Wen, Jiaxu Qian, Bin Qian, Qin Yuan, Jianbin Qin, Qi Xuan, Ye Yuan |
| 2024 | Anomaly Detectors for Multivariate Time Series: The Proof of the Pudding is in the Eating. | Phillip Wenig, Sebastian Schmidl, Thorsten Papenbrock |
| 2024 | Multi-Modal Siamese Network for Few-Shot Knowledge Graph Completion. | Yuyang Wei, Wei Chen, Xiaofang Zhang, Pengpeng Zhao, Jianfeng Qu, Lei Zhao |
| 2024 | LTPG: Large-Batch Transaction Processing on GPUs with Deterministic Concurrency Control. | Jianpeng Wei, Yu Gu, Tianyi Li, Jianzhong Qi, Chuanwen Li, Yanfeng Zhang, Christian S. Jensen, Ge Yu |
| 2024 | Efficient Discovery of Functional Dependencies on Massive Data (Extended Abstract). | Xiaolong Wan, Xixian Han, Jinbao Wang, Jianzhong Li |
| 2024 | A Revisit to Graph Neighborhood Cardinality Estimation. | Pinghui Wang, Yuanming Zhang, Kuankuan Cheng, Junzhou Zhao |
| 2024 | Neural Similarity Search on Supergraph Containment (Extended Abstract). | Hanchen Wang, Jianke Yu, Xiaoyang Wang, Chen Chen, Wenjie Zhang, Xuemin Lin |