Feature Importance-aware Graph Attention Network and Dueling Double Deep Q-Network Combined Approach for Critical Node Detection Problems. - Xuwei Tan; Yangming Zhou; Zhang-Hua Fu; Mengchu Zhou (CoRR, 2021)

Prototype Fission: Closing Set for Robust Open-set Semi-supervised Learning. - Xuwei Tan; Yijie Huang; Yaqian Li (CoRR, 2023)

Algorithmic Decision-Making under Agents with Persistent Improvement. - Tian Xie; Xuwei Tan; Xueru Zhang (AIES (1), 2024)

ProFL: Performative Robust Optimal Federated Learning. - Xue Zheng; Tian Xie; Xuwei Tan; Aylin Yener; Xueru Zhang; Ali Payani; Myungjin Lee (CoRR, 2024)

Convergence Analysis for Learning Orthonormal Deep Linear Neural Networks. - Zhen Qin; Xuwei Tan; Zhihui Zhu (IEEE Signal Process. Lett., 2024)

Federated Learning with Reduced Information Leakage and Computation. - Tongxin Yin; Xuwei Tan; Xueru Zhang; Mohammad Mahdi Khalili; Mingyan Liu (Trans. Mach. Learn. Res., 2024)

Lookahead Counterfactual Fairness. - Zhiqun Zuo; Tian Xie; Xuwei Tan; Xueru Zhang; Mohammad Mahdi Khalili (Trans. Mach. Learn. Res., 2024)

A visual analysis approach for data transformation via domain knowledge and intelligent models. - Haiyang Zhu; Jun Yin; Chengcan Chu; Minfeng Zhu 001; Yating Wei; Jiacheng Pan; Dongming Han; Xuwei Tan; Wei Chen 001 (Multim. Syst., 2024)

DroughtSet: Understanding Drought Through Spatial-Temporal Learning. - Xuwei Tan; Qian Zhao; Yanlan Liu; Xueru Zhang (AAAI, 2025)

Learning to Detect Critical Nodes in Sparse Graphs via Feature Importance Awareness. - Xuwei Tan; Yangming Zhou; MengChu Zhou; Zhang-Hua Fu (IEEE Trans Autom. Sci. Eng., 2025)