Xuwei Tan

683e4ffac2ba780799316eb1a80fb64.jpg

PhD Candidate

The Ohio State University

tan.1206 (at) osu (dot) edu

Nice to meet you! I am currently a Ph.D. Candidate at The Ohio State University, advised by Prof. Xueru Zhang. My research interests include LLM post-training, LLMs for structured data, and trustworthy AI (fairness, robustness, and privacy).

Prior to that, I received my bachelor’s degree in Computer Science from East China University of Science and Technology in 2021. I later enrolled in a master’s program at the University of Chinese Academy of Sciences before pursuing a different academic path. I was also a research assistant at Shanghai Jiao Tong University, where I had the pleasure of working with Prof. Yangming Zhou.

Publications

  1. 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
  2. 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
  3. 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
  4. 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
  5. 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
  6. 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
  7. 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
  8. 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
  9. Convergence Analysis for Learning Orthonormal Deep Linear Neural Networks
    Zhen Qin, Xuwei Tan, and Zhihui Zhu
    IEEE Signal Processing Letters (SPL), 2024
  10. Lookahead Counterfactual Fairness
    Zhiqun Zuo, Tian Xie, Xuwei Tan, and 2 more authors
    Transactions on Machine Learning Research (TMLR), 2024
  11. 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