HELLO! 👋

I am a Postdoctoral Fellow in the Department of Computer Science and Engineering at HKUST. I am working with Prof. Song Guo at HK PEILab.
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My research lies at democratizing access to AI by harnessing the combined potential of cloud, edge, and end-computing nodes. The goal is to deliver AI services that are cost-effective, trustworthy, and equitable, enabling diverse users and applications to access advanced AI technologies.

Academic Qualifications

The Hong Kong Polytechnic University

Doctor of Philosophy in Computer Science with HKPFS

Advisor: Prof. Song Guo

Hong Kong

09/2020 ‑ 01/2025

University of Aizu

Visting Scholar

Advisor: Prof. Peng Li

Japan

07/2024‑08/2024

ETH Zürich

Visiting Scholar

Advisor: Prof. Roger Wattenhofer

Switzerland

04/2023‑10/2023

Sun Yat‑sen University

Bachelor of Engineering in Software Engineering

Advisor: Prof. Wuhui Chen

China

09/2015‑07/2020

Recent Publication Highlights

D2MoE: Dual Routing and Dynamic Scheduling forEfficient On-Device MoE-based LLM Serving,
Haodong Wang, Qihua Zhou, Zicong Hong* and Song Guo. (*corresponding author)
in IEEE International Conference on Computer Communications (MOBICOM), 2025.
Mell: Memory-Efficient Large Language Model Serving via Multi-GPU KV Cache Management,
Qianli Liu, Zicong Hong*, Fahao Chen, Peng Li and Song Guo. (*corresponding author)
in IEEE International Conference on Computer Communications (INFOCOM), 2025.
Optimus: Warming Serverless ML Inference via Inter-Function Model Transformation,
Zicong Hong, Jian Lin, Song Guo, Sifu Luo, Wuhui Chen, Roger Wattenhofer and Yue Yu.
in European Conference on Computer Systems (EuroSys), 2024.
OTAS: An Elastic Transformer Serving System via Token Adaptation,
Jinyu Chen, Wenchao Xu, Zicong Hong*, Song Guo, Haozhao Wang, Jie Zhang and Deze Zeng. (*corresponding author)
in IEEE International Conference on Computer Communications (INFOCOM), 2024.
GriDB: Scaling Blockchain Database via Sharding and Off-Chain Cross-Shard Mechanism,
Zicong Hong, Song Guo, Enyuan Zhou, Wuhui Chen, Huawei Huang and Albert Zomaya.
in International Conference on Very Large Data Bases (VLDB), 2023.

Zicong Hong

Ph.D.