Published multiple papers in top conferences such as ICML 2025, NeurIPS 2024, ICLR 2024, EMNLP 2023, and released several research works on arXiv. Contributions mainly focus on federated learning and collaborative decoding of language models.
Research Experience
Worked as a research intern at IBM Research (summer 2024) and Sony AI (summer 2025), focusing on collaborative and efficient foundation models.
Education
Ph.D. in Electrical and Computer Engineering at the University of Maryland, College Park, advised by Prof. Ang Li; B.E. in Computer Engineering from Wuhan University, where he worked with Prof. Qian Wang.
Background
Currently a third-year Ph.D. student in the Department of Electrical and Computer Engineering at the University of Maryland, College Park, focusing on improving the performance and efficiency of foundation models through simple, elegant approaches. Priorities include developing advanced collaborative edge AI systems with an emphasis on performance, efficiency, and security.
Miscellany
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