About Me

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 my Master's degree and B.Eng. from the School of Cyber Science and Engineering (CSE) at Wuhan University (WHU), where I was mentored by Prof. Ruiting Zhou.

My previous research focused on edge intelligence, particularly on optimizing model training and inference and GPU resource sharing through online learning methods. Currently, my academic interests center on online learning and large language models (LLMs). I am especially interested in how online learning can enable LLMs to adapt continuously from interactive data, and conversely, how LLMs can support more intelligent and data-efficient online learning frameworks. Please feel free to contact me.

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Publications

(* Corresponding Author)

• [ToN ’25] Online Scheduling with Trajectory Prediction for Collaborative DNN Inference in Vehicular Networks
  Ziyi Han, Ruiting Zhou*, Haisheng Tan, John C.S. Lui.
  IEEE Transactions on Networking (ToN), 2025.
• [TPDS ’24] InSS: An Intelligent Scheduling Orchestrator for Multi-GPU Inference with Spatio-Temporal Sharing
  Ziyi Han, Ruiting Zhou*, Chengzhong Xu, Yifan Zeng, and Renli Zhang.
  IEEE Transactions on Parallel and Distributed Systems (TPDS), 2024.
• [CSCWD ’24] SAFE: Intelligent Online Scheduling for Collaborative DNN Inference in Vehicular Network
  Ruiting Zhou, Ziyi Han*, Yifan Zeng, Zhi Zhou, Libing Wu, Wei Wang.
  IEEE 27th International Conference on Computer Supported Cooperative Work in Design (CSCWD), 2024.
• [ICPADS ’21] Online Scheduling Unbiased Distributed Learning over Wireless Edge Networks
  Ziyi Han, Ruiting Zhou*, Jinlong Pang, Haisheng Tan*, Yue Cao.
  IEEE 27th International Conference on Parallel and Distributed Systems (ICPADS), 2021. (Outstanding Paper Award)
• [IWQoS ’24] Efficient Online DNN Inference with Continuous Learning in Edge Computing
  Yifan Zeng, Ruiting Zhou*, Lei Jiao, Ziyi Han, Jieling Yu.
  IEEE/ACM 32nd International Symposium on Quality of Service (IWQoS), 2024.
• [TMC ’24] Eris: An Online Auction for Scheduling Unbiased Distributed Learning over Edge Networks
  Jinlong Pang, Ziyi Han, Ruiting Zhou*, Renli Zhang, John C.S. Lui, Hao Chen.
  IEEE Transactions on Mobile Computing (TMC), 2024.
• [JSA ’22] Online Scheduling Algorithms for Unbiased Distributed Learning over Wireless Edge Networks
  Jinlong Pang, Ziyi Han, Ruting Zhou*, Haisheng Tan, Yue Cao.
  Journal of Systems Architecture (JSA), 2022.

Preprints

• [arXiv ’25] 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 ’25] Faster, Smaller, and Smarter: Task-Aware Expert Merging for Online MoE Inference
  Ziyi Han, Xutong Liu, Ruiting Zhou, Xiangxiang Dai, John C.S. Lui.

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Internships and Research Experiences

• 2025.06-2024.08, Research Intern at Huawei 2012 Lab, Hangzhou, China; Leader: Prof. Haibo Chen (ACM/IEEE Fellow).

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Selected Awards

• [2021-2023] First Prize of Cybersecurity Excellence Scholarship (top 30%)
• [2022] First Prize Scholarship of Academic Excellence (top 10%)
• [2022] Huawei Scholarship
• [2021] Wuhan University 2021 Outstanding Bachelor's Degree Thesis (top 10%)