I am a second-year Ph.D. student 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. from the Advanced Class in Mathematics and Physics for Information Science at Huazhong University of Science and Technology (1/30).

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. I am now particularly intrigued by applying these principles to Large Language Models (LLMs). I aim to explore how online learning can enable LLMs to move beyond their static training, allowing them to quickly adapt and learn from interactive information—much like an intelligent agent. I am closely following emerging architectures, such as Diffusion LLMs, as a promising direction for achieving this capability.

Publications

(*equal contribution)

• [ACM MM] AxiomVision: Accuracy-Guaranteed Adaptive Visual Model Selection for Perspective-Aware Video Analytics
  Xiangxiang Dai, Zeyu Zhang, Peng Yang, Yuedong Xu, Xutong Liu, John C.S. Lui.
  Accepted in the ACM Multimedia (MM), 2024. (1149/4385 = 26.2%, CCF A)
  [Link], [arXiv], [Poster], [Code], [ACM showcase on Kudos]
  

• [ICC] Bandwidth-Efficient Edge Video Analytics via Frame Partitioning and Quantization Optimization
  Chuqin Zhou, Peng Yang, Zeyu Zhang, Chengzhi Wang, Ning Zhang.
  Accepted in the IEEE International Conference on Communications (ICC), 2023.

Preprints

• [arXiv] HiLoRA: Adaptive Hierarchical LoRA Routing for Training-Free Domain Generalization
  Ziyi Han, Huanyu Wang, Zeyu Zhang, Xiangxiang Dai, Xutong Liu, John C.S. Lui

• [arXiv] Offline Clustering of Linear Bandits: Unlocking the Power of Clusters in Data-Limited Environments
  Jingyuan Liu*, Zeyu Zhang*, Xuchuang Wang, Xutong Liu, John C.S. Lui, Mohammad Hajiesmaili, Carlee Joe-Wong.
  

Internships and Research Experiences

• 2025.09-Present,   Research Intern at Hong Kong AI & Data Laboratory Limited (HKAI Lab), Hong Kong, China. Leader: Wu Huiwei.
• 2025.06-2024.08,   Research Intern at Huawei 2012 Lab, Hangzhou, China; Leader: Prof. Haibo Chen (ACM/IEEE Fellow).
• 2021.09-2023.06,   Research Intern of Prof. Peng Yang at Huazhong University of Science and Technology, Wuhan, China.

Selected Awards

• Huawei PhD Fellowship (2024-2028)

• National Scholarship (Oct. 2021, Oct. 2023)

• Merit Student (Oct. 2021, Oct. 2023)

• Outstanding Undergraduates in Term of Academic Performance (Oct. 2021)

• Top 1% in Alibaba Global Mathematics Competition (Apr. 2022).