| 2025 | Federated Approximate Query Processing Based on Deep Models. | Yutong Xie, Qingzhi Ma, Lei Zhao, An Liu |
| 2025 | Lead-LagNet: Exploiting Lead-Lag Dependencies for Cross-Series Temporal Prediction. | Zhilong Xie, Shaofei Shen, Jiwen Huang, Rui Cheng, Qing Li |
| 2025 | GraphIAM: Two-Stage Algorithm for Improving Class-Imbalanced Node Classification on Attribute-Missing Graphs. | Riting Xia, Chunxu Zhang, Xueyan Liu, Anchen Li, Yan Zhang |
| 2025 | StoryWriter: A Multi-Agent Framework for Long Story Generation. | Haotian Xia, Hao Peng, Yunjia Qi, Bin Xu, Juanzi Li, Lei Hou, Xiaozhi Wang |
| 2025 | Frequency-Domain Disentanglement-Fusion and Dual Contrastive Learning for Sequential Recommendation. | Shuo Xiao, Jingtao Zhang, Chaogang Tang, Zhenzhen Huang |
| 2025 | Efficient Knowledge Graph Unlearning with Zeroth-order Information. | Yang Xiao, Ruimeng Ye, Bohan Liu, Xiaolong Ma, Bo Hui |
| 2025 | Dual-Space Masked Reconstruction for Robust Self-Supervised Human Activity Recognition. | Shuo Xiao, Jiukai Deng, Chaogang Tang, Zhenzhen Huang |
| 2025 | Harnessing Light for Cold-Start Recommendations: Leveraging Epistemic Uncertainty to Enhance Performance in User-Item Interactions. | Yang Xiang, Li Fan, Chenke Yin, Menglin Kong, Chengtao Ji |
| 2025 | Beyond Return Conditioning: Multi-Scale Sequence Modeling and Advantage-Guided Policy Routing for Offline RL. | Kunbao Wu, Xinning Zhu, Yang Qin, Tieru Wang, Jianzhou Diao, Zheng Hu |
| 2025 | Fact or Facsimile? Evaluating the Factual Robustness of Modern Retrievers. | Haoyu Wu, Qingcheng Zeng, Kaize Ding |
| 2025 | Learning Conditional Probability Distributions for Robust Probabilistic Inference in Bayesian Network. | Xinran Wu, Kun Yue, Huashuai Liu, Liang Duan |
| 2025 | TLCCSP: A Scalable Framework for Enhancing Time Series Forecasting with Time-Lagged Cross-Correlations. | Jianfei Wu, Wenmian Yang, Bingning Liu, Weijia Jia |
| 2025 | Trustworthy Knowledge Discovery and Data Mining (TrustKDD). | Le Wu, Jindong Wang, Ling Chen, Xiangyu Zhao, Kui Yu, Yashar Deldjoo, Defu Lian |
| 2025 | Gravity-GNN: Deep Reinforcement Learning Guided Space Gravity-based Graph Neural Network. | Huaming Wu, Lei Tian, Chaogang Tang, Pengfei Jiao, Minxian Xu, Huijun Tang |
| 2025 | Robust Multi-Label Learning with Instance-Dependent Label Noise. | You Wu, Yabo Shi, Yizhang Zou, Peipei Li |
| 2025 | MillGNN: Learning Multi-Scale Lead-Lag Dependencies for Multi-Variate Time Series Forecasting. | Binqing Wu, Zongjiang Shang, Jianlong Huang, Ling Chen |
| 2025 | STARec: An Efficient Agent Framework for Recommender Systems via Autonomous Deliberate Reasoning. | Chenghao Wu, Ruiyang Ren, Junjie Zhang, Ruirui Wang, Zhongrui Ma, Qi Ye, Wayne Xin Zhao |
| 2025 | Spatio-Temporal Forecasting under Open-World Missingness with Adaptive Mixture-of-Experts. | Chenyu Wu, Zhipeng Ma, Junbo Zhang, Songyu Ke, Yu Zheng |
| 2025 | ST-Hyper: Learning High-Order Dependencies Across Multiple Spatial-Temporal Scales for Multivariate Time Series Forecasting. | Binqing Wu, Jianlong Huang, Zongjiang Shang, Ling Chen |
| 2025 | Adaptive Context-Infused Performance Evaluator for Iterative Feature Space Optimization. | Yanping Wu, Yanyong Huang, Zijun Yao, Yanjie Fu, Kunpeng Liu, Xiao Luo, Dongjie Wang |
| 2025 | Asking Questions with Thoughts: An Efficient Difficulty-Controllable Question Generation Method with Posterior Knowledge Distillation. | Sixing Wu, Jiahao Chen, Yujue Zhou, Zhijun Yang, Wei Zhou |
| 2025 | Multi-Resource-Aware Admission Control for Online Data Processing. | Ruoyu Wu, Wei Bao, Hequn Wang |
| 2025 | Empowering Denoising Sequential Recommendation with Large Language Model Embeddings. | Tongzhou Wu, Yuhao Wang, Maolin Wang, Chi Zhang, Xiangyu Zhao |
| 2025 | CHEM: Causally and Hierarchically Explaining Molecules. | Gyeongdong Woo, Soyoung Cho, Donghyeon Kim, Kimoon Na, Changhyun Kim, Jinhee Choi, Jong-June Jeon |
| 2025 | DANet: A RAG-inspired Dual Attention Model for Few-shot Time Series Prediction. | Zimo Wen, Hanwen Hu, Nan Fang, Shiyou Qian, Jian Cao |