I am a Ph.D. student in Computer Science at the University of Maryland, College Park, advised by Prof. Heng Huang. My research interests include federated learning, optimization, AI agents, and recursive self-improvement.
Before coming to Maryland, I received B.S. degrees in Energy and Power Engineering and in Mathematics and Physics from Weiyang College, Tsinghua University, in 2024.
News
- Sep 2026Our paper on client reshuffling in federated learning was accepted to NeurIPS 2026.
- May 2026New preprint on arXiv: FedAttr.
- Fall 2024Started my Ph.D. at UMD, advised by Prof. Heng Huang.
Publications
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Mitigating Data Heterogeneity Effect in Client-Reshuffling-Based Federated LearningNeural Information Processing Systems (NeurIPS), 2026
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FedAttr: Towards Privacy-preserving Client-Level Attribution in Federated LLM Fine-tuningarXiv preprint, 2026
Teaching
- Teaching Assistant, CMSC848G: Selected Topics in Machine Learning, Spring 2026.
- Teaching Assistant, CMSC422: Introduction to Machine Learning, Fall 2025.
- Teaching Assistant, CMSC351: Algorithms, Fall 2024 and Spring 2025.