Bohan Hou

I am a third-year Ph.D. student in Computer Science at Carnegie Mellon University, where I am very fortunate to be advised by Prof. Tianqi Chen. I am a member of Catalyst.

My research interests lie in machine learning systems and deep learning compilers.

Prior to coming to CMU, I received my Bachelor's degree in ACM Honors Class of Shanghai Jiao Tong University, where I worked under the supervision of Prof. Weinan Zhang and Prof. Yong Yu.

Simply Easy Learning
Photo shot with Weixin Deng (right) at UW campus

MLC-LLM: Machine Learning Compilation for Large Language Models [repo]
MLC-LLM is a universal solution that allows any language models to be deployed natively on a diverse set of hardware backends and native applications, plus a productive framework for everyone to further optimize model performance for their own use cases.

Research (*indicates equal contribution)

TensorIR: An Abstraction for Automatic Tensorized Program Optimization [pdf]
Siyuan Feng*, Bohan Hou*, Hongyi Jin, Wuwei Lin, Junru Shao, Ruihang Lai, Zihao Ye, Lianmin Zheng, Cody Hao Yu, Yong Yu, and Tianqi Chen
The 28th ACM International Conference on Architectural Support for Programming Languages and Operating Systems (ASPLOS '23)

Tensor Program Optimization with Probabilistic Programs [pdf]
Junru Shao, Xiyou Zhou, Siyuan Feng, Bohan Hou, Ruihang Lai, Hongyi Jin, Wuwei Lin, Masahiro Masuda, Cody Hao Yu, Tianqi Chen
Thirty-sixth Conference on Neural Information Processing Systems (NeurIPS), 2022