Bo Chen

About Me

I am a first-year M.Phil. student at the University of Hong Kong, where I am fortunate to be advised by Prof. Yingyu Liang and Prof. Andrew F. Luo. My research interests are in the theoretical foundations of machine learning, I am also a Research Engineer Intern at Moonshot AI working on infrastructure.

Selected Publications

* denotes equal contribution or alphabetical order.

FedEL: Federated Elastic Learning for Heterogeneous Devices, NeurIPS 2025

Letian Zhang, Bo Chen, Jieming Bian, Lei Wang, Jie Xu

Circuit Complexity Bounds for RoPE-based Transformer Architecture*, EMNLP 2025

Bo Chen, Xiaoyu Li, Yingyu Liang, Jiangxuan Long, Zhenmei Shi, Zhao Song, Jiahao Zhang

Bypassing the Exponential Dependency: Looped Transformers Efficiently Learn In-context by Multi-step Gradient Descent*, AISTATS 2025

Bo Chen, Xiaoyu Li, Yingyu Liang, Zhenmei Shi, Zhao Song