Weiyang Liu

Weiyang Liu is an Assistant Professor in the Department of Computer Science and Engineering at The Chinese University of Hong Kong. His research interests include Generative AI, Foundation Models, Large Language Models, and related areas such as Artificial Intelligence, Deep Learning, Machine Learning, Data and Software Engineering, Databases, Data Mining, Knowledge Management, and Computer Vision. He leads the Scalable Principles for Learning and Reasoning Lab (SphereLab) at CUHK. Liu holds a Ph.D. in Machine Learning from the University of Cambridge and a Ph.D. in Computer Science from the Georgia Institute of Technology. He has also worked as a postdoctoral researcher at the Max Planck Institute for Intelligent Systems and held research positions at Google, Nvidia, and MERL.

Weiyang Liu is a researcher at the Chinese University of Hong Kong, specializing in Machine Learning. His work focuses on advancing deep learning techniques for face recognition, with notable contributions such as SphereFace and Large-margin softmax loss. Liu also explores generative modeling, particularly in 3D mesh modeling and text-to-image diffusion. His research includes methods for improving model generalization, disentanglement, and privacy-preserving AI collaboration. Additionally, he investigates parameter-efficient finetuning and mathematical question generation for large language models. His publications highlight a strong emphasis on robust and scalable machine learning solutions across various domains.