Efficient AI Computing,
Transforming the Future.

Jiaming Tang

Ph.D

(Graduated)

Jiaming Tang is a first-year Ph.D. student at MIT, advised by Prof. Song Han. He was a member of ACM Honors Class, Shanghai Jiao Tong University. His research interests lie in efficient systems and algorithms for large language models. His work AWQ receives the Best Paper Award at MLSys 2024 and has been integrated into Transformers, vLLM, FastChat, TensorRT-LLM, and TGI.

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