Publications

2026

1. 

   SR-Fraud: An Outcome-Supervised Reflective LLM Agent Framework for Non-Stationary Payment Fraud Detection

   Xuwei Tan, Yao Ma, and Xueru Zhang

   arXiv preprint arXiv:2609.27287, 2026
2. ProFL: Performative Robust Optimal Federated Learning

   Xue Zheng, Tian Xie, Xuwei Tan, and 2 more authors

   IEEE Transactions on Signal Processing (TSP), 2026

3. 

   Understanding Structured Financial Data with LLMs: A Case Study on Fraud Detection

   Xuwei Tan, Yao Ma, and Xueru Zhang

   In The 64th Annual Meeting of the Association for Computational Linguistics (ACL), 2026

4. 

   Benchmarking Bias Mitigation Toward Fairness Without Harm from Vision to LVLMs

   Xuwei Tan, Ziyu Hu, and Xueru Zhang

   In The Fourteenth International Conference on Learning Representations (ICLR), 2026

5. 

   Achieving Fairness Without Harm via Selective Demographic Experts

   Xuwei Tan, Yuanlong Wang, Thai-Hoang Pham, and 2 more authors

   In AAAI Conference on Artificial Intelligence (AAAI), 2026

6. 

   TLRD: Teaching LLMs to Reason over Tabular Data with Tri-Level Rationale Distillation

   Tianyuan Liang^*, Xuwei Tan^*, Lei Shi, and 6 more authors

   arXiv preprint arXiv:2606.08295, 2026

2025

1. 

   DABench-LLM: Standardized and In-Depth Benchmarking of Post-Moore Dataflow AI Accelerators for LLMs

   Ziyu Hu, Zhiqing Zhong, Weijian Zheng, and 6 more authors

   In 2025 IEEE International Symposium on Workload Characterization (IISWC), 2025

2. 

   DroughtSet: Understanding Drought through Spatial-Temporal Learning

   Xuwei Tan, Qian Zhao, Yanlan Liu, and 1 more author

   In AAAI Conference on Artificial Intelligence (AAAI), 2025

2024

1. 

   Federated Learning with Reduced Information Leakage and Computation

   Tongxin Yin^*, Xuwei Tan^*, Xueru Zhang^*, and 2 more authors

   Transactions on Machine Learning Research (TMLR), 2024
2. Learning to Detect Critical Nodes in Sparse Graphs via Feature Importance Awareness

   Xuwei Tan, Yangming Zhou, MengChu Zhou, and 1 more author

   IEEE Transactions on Automation Science and Engineering (T-ASE), 2024
3. Convergence Analysis for Learning Orthonormal Deep Linear Neural Networks

   Zhen Qin, Xuwei Tan, and Zhihui Zhu

   IEEE Signal Processing Letters (SPL), 2024
4. Lookahead Counterfactual Fairness

   Zhiqun Zuo, Tian Xie, Xuwei Tan, and 2 more authors

   Transactions on Machine Learning Research (TMLR), 2024
5. Algorithmic Decision-Making under Agents with Persistent Improvement

   Tian Xie, Xuwei Tan, and Xueru Zhang

   Proceedings of the AAAI/ACM Conference on AI, Ethics, and Society (AIES), Oct 2024

   DOI