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.

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

• [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 February 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