Ph.D. (University of Cambridge), Ph.D. (Georgia Tech)
Assistant Professor
Generative AI, Foundation Models, Large Language Models
Biography
Weiyang Liu is an Assistant Professor in the Department of Computer Science and Engineering at The Chinese University of Hong Kong, where he leads the Scalable Principles for Learning and Reasoning Lab (SphereLab).
He received a Ph.D. in Machine Learning from the University of Cambridge and a Ph.D. in Computer Science from the Georgia Institute of Technology, and later worked as a postdoctoral researcher at the Max Planck Institute for Intelligent Systems, advised by Bernhard Schölkopf. He has also held research positions at Google, Nvidia, and MERL.
He has received the Baidu Fellowship, Hitachi Fellowship, and was a Qualcomm Innovation Fellowship Finalist. His work has been recognized with the 2023 IEEE Signal Processing Society Best Paper Award, the Best Demo Award at HCOMP 2022, and multiple oral and spotlight presentations at leading conferences including ICLR, NeurIPS, and CVPR.
- Zeju Qiu, Simon Buchholz, Tim Z. Xiao, Maximilian Dax, Bernhard Schölkopf, Weiyang Liu: Reparameterized LLM Training via Orthogonal Equivalence Transformation. Technical Report 2025.
- Tim Z. Xiao, Robert Bamler, Bernhard Schölkopf, Weiyang Liu: Verbalized Machine Learning: Revisiting Machine Learning with Language Models. Transactions on Machine Learning Research 2025.
- Weiyang Liu, Zeju Qiu, Yao Feng, Yuliang Xiu, Yuxuan Xue, Longhui Yu, Haiwen Feng, Zhen Liu, Juyeon Heo, Songyou Peng, Yandong Wen, Michael J. Black, Adrian Weller, Bernhard Schölkopf: Parameter-Efficient Orthogonal Finetuning via Butterfly Factorization. ICLR 2024
- Longhui Yu, Weisen Jiang, Han Shi, Jincheng Yu, Zhengying Liu, Yu Zhang, James T. Kwok, Zhenguo Li, Adrian Weller, Weiyang Liu: MetaMath: Bootstrap Your Own Mathematical Questions for Large Language Models. ICLR 2024
- Weiyang Liu, Longhui Yu, Adrian Weller, Bernhard Schölkopf: Generalizing and Decoupling Neural Collapse via Hyperspherical Uniformity Gap. ICLR 2024.