Jiahua Huang 黄嘉华
Email: jiah.huang@foxmail.com
Research Interest
My expertise lies in Machine Learning Systems (MLSys) and resource management, with a specialized focus on enhancing Large Language Model inference through innovative AI methodologies.
I am actively seeking an internship in LLM inference optimization. Please feel free to reach out if you have or know of any suitable opportunities. I’m always open to connecting with professionals in the field.
Education
South China University of Technology, Guangzhou, China
- Ph.D. in Computer Science, advised by Prof. Weiwei Ling, Sep. 2023 – Present
Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China
- Master of Engineering, Electronic Information, advised by Prof. Yang Wang, Sep. 2020 – Jun. 2023
Jiangnan University, Wuxi, China
- Bachelor of Engineering, Digital Media Technology, Sep. 2015 – Jun. 2019
Publications
- [AAAI '26] Experiential Fairness: Bridging the Gap between User Experience and Resource-Centric Fairness in Online LLM Services [paper][poster][code]
- Jiahua Huang, Wentai Wu, Yongheng Liu, Guozhi Liu, Yang Wang, Weiwei Lin
- The 40th Annual AAAI Conference on Artificial Intelligence, Accepted on 08 Nov 2025.
- [CSUR '25] On Efficiency, Fairness and Security in AI Accelerator Resource Sharing: A Survey [paper] [url]
- Jiahua Huang, Weiwei Lin*,Wentai Wu,Yang Wang,Haocheng Zhong,Xinhua Wang,Keqin Li
- ACM Computing Surveys, Accepted on 24 Feb 2025.
Project
- [ExFairS]
- ExFairS is a novel scheduling paradigm designed for Large Language Model (LLM) inference services, aiming to bridge the core gap between system-level performance metrics and the actual user experience.
Experiences
Alibaba Group, Hangzhou
- Research Intern, Oct. 2021 – Oct. 2022
Alibaba Cloud, Hangzhou
- Research Intern, Aug. 2021 – Sep. 2021
CCB Fintech, Shenzhen
- Software Engineer, Jul. 2019 – Jun. 2020
Awards and Fellowships
[Siat Digital Institute Outstanding Student of the Year Award]
- Siat Digital Institute, 2022