Xuwei Tan

Xuwei Tan works on machine learning topics spanning federated learning under changing data conditions, teaching large language models to reason over structured (tabular) data, benchmarking specialized AI hardware accelerators, graph-based critical node detection, fairness in predictive models, and semi-supervised learning. The work combines practical system-level concerns (like hardware benchmarking and data transformation tools) with algorithmic contributions to model reasoning, robustness, and fairness.

Publication output has grown noticeably since 2021, rising from a single paper to multiple outputs per year by 2024-2026, indicating an increasing pace of research activity in recent years.

Generated by claude-sonnet-5 from public bibliographic data · Jul 20, 2026