| 2025 | LDMapNet-U: An End-to-End System for City-Scale Lane-Level Map Updating. | Deguo Xia, Weiming Zhang, Xiyan Liu, Wei Zhang, Chenting Gong, Xiao Tan, Jizhou Huang, Mengmeng Yang, Diange Yang |
| 2025 | Maximum Degree-Based Quasi-Clique Search via an Iterative Framework. | Hongbo Xia, Kaiqiang Yu, Shengxin Liu, Cheng Long, Xun Zhou |
| 2025 | Effective AOI-level Parcel Volume Prediction: When Lookahead Parcels Matter. | Yinfeng Xiang, Jiangyi Fang, Chao Li, Haitao Yuan, Yiwei Song, Jiming Chen |
| 2025 | Hyperparametric Influence Minimization: Feature-Driven Intervention Beyond Blocking. | Bin Xiang, Bogdan Cautis, Xiaokui Xiao, Laks V. S. Lakshmanan |
| 2025 | ProST: Prompt Future Snapshot on Dynamic Graphs for Spatio-Temporal Prediction. | Kaiwen Xia, Li Lin, Shuai Wang, Qi Zhang, Shuai Wang, Tian He |
| 2025 | A Transferable Spatio-temporal Learning Framework for Cross-city Logistics Demand Prediction. | Kaiwen Xia, Li Lin, Xinrui Zhang, Haotian Wang, Shuai Wang, Tian He |
| 2025 | A Neuro-Symbolic Approach to Symbol Grounding for ALC-Ontologies. | Xuan Wu, Yizheng Zhao |
| 2025 | DynST: Dynamic Sparse Training for Resource-Constrained Spatio-Temporal Forecasting. | Hao Wu, Haomin Wen, Guibin Zhang, Yutong Xia, Yuxuan Liang, Yu Zheng, Qingsong Wen, Kun Wang |
| 2025 | Aligning and Balancing ID and Multimodal Representations for Recommendation. | Binrui Wu, Shisong Tang, Fan Li, Bing Han, Chang Meng, Jingyu Xiao, Jiechao Gao |
| 2025 | Classifying Treatment Responders: Bounds and Algorithms. | Anpeng Wu, Haoxuan Li, Chunyuan Zheng, Kun Kuang, Kun Zhang |
| 2025 | IU4Rec: Interest Unit-Based Product Organization and Recommendation for E-Commerce Platform. | Wenhao Wu, Xiaojie Li, Lin Wang, Jialiang Zhou, Di Wu, Qinye Xie, Qingheng Zhang, Yin Zhang, Shuguang Han, Fei Huang, Jufeng Chen |
| 2025 | GAS: Large-Scale Heterogeneous Personalization in Social Network Applications at Meta. | Yihan Wu, Mingze Gao, Haoran Liu, Weiwei Li, Kevin Han, Junfeng Pan, Xinyi Zhang, Jiawei Wen, Gedi Zhou |
| 2025 | Self-Regularization with Sparse Autoencoders for Controllable LLM-based Classification. | Xuansheng Wu, Wenhao Yu, Xiaoming Zhai, Ninghao Liu |
| 2025 | FairCDR: Transferring Fairness and User Preferences for Cross-Domain Recommendation. | Yongxuan Wu, Yang Liu, Xixun Lin, Hong Zhou, Yanan Cao, Lixin Zou, Yanmin Shang, Yanbing Liu |
| 2025 | ProgDiffusion: Progressively Self-encoding Diffusion Models. | Zhangkai Wu, Xuhui Fan, Longbing Cao |
| 2025 | Breaking the Memory Wall for Heterogeneous Federated Learning via Progressive Training. | Yebo Wu, Li Li, Cheng-Zhong Xu |
| 2025 | SepDiff: Self-Encoding Parameter Diffusion for Learning Latent Semantics. | Zhangkai Wu, Xuhui Fan, Jin Li, Zhilin Zhao, Hui Chen, Longbing Cao |
| 2025 | Local Homophily-Aware Graph Neural Network with Adaptive Polynomial Filters for Scalable Graph Anomaly Detection. | Zengyi Wo, Minglai Shao, Shiyu Zhang, Ruijie Wang |
| 2025 | Feature Selection for Network Intrusion Detection. | Charles Westphal, Stephen Hailes, Mirco Musolesi |
| 2025 | The 4th Workshop on AI Agent for Information Retrieval: Generating and Ranking. | Qingsong Wen, Yongfeng Zhang, Zhiwei Liu, Julian J. McAuley, Hua Wei, Linsey Pang, Wei Liu, Philip S. Yu |
| 2025 | Revisiting Graph Adversarial Attack: A Perspective of Budget Optimization. | Xiangchao Wen, Zhen Liu, Yuxin You |
| 2025 | SDE: A Simplified and Disentangled Dependency Encoding Framework for State Space Models in Time Series Forecasting. | Zixuan Weng, Jindong Han, Wenzhao Jiang, Hao Liu |
| 2025 | FLMarket: Enabling Privacy-preserved Pre-training Data Pricing for Federated Learning. | Zhenyu Wen, Wanglei Feng, Di Wu, Haozhen Hu, Chang Xu, Bin Qian, Zhen Hong, Cong Wang, Shouling Ji |
| 2025 | Progressive Generalization Risk Reduction for Data-Efficient Causal Effect Estimation. | Hechuan Wen, Tong Chen, Guanhua Ye, Li Kheng Chai, Shazia Sadiq, Hongzhi Yin |
| 2025 | Robust Tree-based Learned Vector Index with Query-aware Repartitioning. | Wenqing Wei, Defu Lian, Qingshuai Feng, Yongji Wu |