You can call me Zebu (/zəˈbuː/, pronounced “zuh-BOO”).

I am a Ph.D. candidate in the Department of Computer Science and Engineering (CSE) at The Chinese University of Hong Kong (CUHK), under the supervision of Prof. John C.S. Lui (ACM/IEEE Fellow). Before this, I earned a B.Eng. in 2024 from the Advanced Class in Mathematics and Physics for Information Science at Huazhong University of Science and Technology (1/30).

I was a Visiting Scholar at the SOLAR Lab, University of Massachusetts Amherst, from May to August 2026, hosted by Prof. Mohammad Hajiesmaili.

Research Interest

TL;DR: Online Learning, Large Language Models, Video Streaming, Edge Computing.

My previous research focused on adjustable spatial encoding strategies for video analysis, particularly in adapting video quality to fluctuating bandwidth conditions using online feedback. This experience with the highly dynamic and unpredictable nature of video streaming directly sparked my interest in the core principles of continuous adaptation.

Consequently, my research focus has shifted to Online Learning for Large Language Models (LLMs), with the goal of enabling them to adapt beyond static training. I am interested in Diffusion LLMs for iterative response refinement toward more coherent answers. More broadly, I study how LLMs connect knowledge and reason by analogy, and how these abilities can help agents learn quickly from interaction.