Beichen Huang | McMaster University

About Me

Hello and welcome! I’m Beichen Huang, a senior student at McMaster University, majoring in Mechatronics Engineering. My current research interests lie in building affordable and efficient LLM, through optimization and machine learning systems.

I had a wonderful research visit at the Chinese Unviersity of Hong Kong (ShenZhen) from Sept. 2023 to May 2024, advised by Prof. Kaiming Shen, working on optimization and its application in machine learning and wireless communication. I am also fortunate to be supervised by Prof. Minjia Zhang at University of Illinois Urbana-Champaign from March 2024, focusing on MoE model quantization, and model compression.

I am currently looking for PhD opening in Fall 2025, and summer research intern in 2025.

News

[Mar. 2025] Serve as AE revier for MLSys 2025.
[Feb. 2025] Our work MiLo is accepted to MLSys 2025. See you in Santa Clara!
[Nov. 2024] A preprint about an efficient 3-bit quantization system for MoE is ready.
[Sept. 2024] Our paper about Fractional Programming for Clustering is accepted to NeurIPS 2024.
[April. 2024] Our paper about Aerial_IRS is accepted to ICASSP 2024.

Publications

MiLo: Efficient Quantized MoE Inference with Mixture of Low-Rank Compensators

Beichen Huang*, Yueming Yuan*, Zelei Shao*, Minjia Zhang (*Equal Contributors)

The Eighth Annual Conference on Machine Learning and Systems (MLSys), 2025.

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Multidimensional Fractional Programming for Normalized Cuts

Yannan Chen*, Beichen Huang*, Licheng Zhao, Kaiming Shen (*Equal Contributors)

the Thirty-Eighth Annual Conference on Neural Information Processing Systems (NeurIPS), 2024.

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Aerial-IRS-Assisted Load Balancing In Downlink Networks

Shuyi Ren, Beichen Huang, Xiaoyang Li, Kaiming Shen

IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2024.

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