πΎ Biography
Hi! Iβm a first-year PhD student in the Department of Electrical and Electronic Engineering (EEE) at The University of Hong Kong (HKU), under the supervision of Prof. Edith Cheuk Han Ngai. Previously, I obtained my M.E. degree in Computer Science and Technology in the School of Artificial Intelligence (SAI) at Sun Yat-sen University (SYSU), supervised by Prof. Xuehe Wang and B.E. degree in Mechanical Design, Manufacturing and Automation from the University of Electronic Science and Technology of China (UESTC) in 2022.
My research interests include Distributed Optimization (e.g., Federated Learning), Large Language Models (LLMs), Mixture of Experts (MoE), etc.
π’ Iβm actively looking forward to collaborating with self-motivated researchers in the field of FL, LLMs, etc. Feel free to drop me an email if youβre interested!
π₯ News
[08.2025] π One paper FedAgile was accepted by CIKM'25 (CCF-B) as first author! See you in Seoul!
[07.2025] π I am serving as a Program Committee member for the Special Section ''Secure and Efficient Distributed Machine Learning in Cloud Computing'' held at The 16th IEEE International Conference on Cloud Computing Technology and Science @ IEEE CloudCom 2025. The call for papers is now open! We warmly welcome your submissions!
[06.2025] π Honored to be selected as Excellent Graduate in SYSU (Top 5%)!
[03.2025] π One paper FedPCS was accepted by ToN'25 (CCF-A) as first author!
[05.2024] π One paper FedEnt was accepted by TMC'24 (CCF-A) as co-first author!
[03.2024] π One paper QI-DPFL was accepted by IJCNN'24 Oral as first author! See you in Yokohama!
[10.2023] π One paper was accepted by QSHINE'23 and received Best Papar Award! See you in Shenzhen!
π Publications
(*= Equal Contribution)
CIKM'25
Aggregated Gradients-based Adaptive Learning Rate Design in Federated Learning, Wenhao Yuan, Xuehe Wang.ToN'25
A Game-Theoretic Framework for Privacy-Aware Client Sampling in Federated Learning, Wenhao Yuan, Xuehe Wang.TMC'24
Adaptive Federated Learning via New Entropy Approach, Shensheng Zheng*, Wenhao Yuan*, Xuehe Wang, Lingjie Duan.IJCNN'24
QI-DPFL: Quality-Aware and Incentive-Boosted Federated Learning with Differential Privacy, Wenhao Yuan, Xuehe Wang.QSHINE'23
Entrofuse: Clustered Federated Learning Through Entropy Approach, Kaifei Tu, Wenhao Yuan, Xuehe Wang.
π Educations
- 2025.09 - current, PhD, Department of Electrical and Electronic Engineering, The University of Hong Kong, Hong Kong S.A.R.
- 2022.09 - 2025.06, Postgraduate, School of Artificial Intelligence, Sun Yat-sen University, Guangdong.
- 2018.09 - 2022.06, Undergraduate, School of Mechanical and Electrical Engineering, University of Electronic Science and Technology of China, Sichuan.
π Honors and Awards
- SYSU Excellent Graduate (2025)
- National Scholarship (2024)
- Excellent Graduate Academic Scholarship (2022-2024)
- SYSU Excellent Teaching Assistant (2024)
- The 19th China Post-Graduate Mathematical Contest in Modeling, National Third Prize (Dec. 2022)
π Academic Service
Journal Reviewer
- IEEE Transactions on Mobile Computing (TMC)
- IEEE Transactions on Parallel and Distributed Systems (TPDS)
- IEEE Transactions on Industrial Informatics (TII)
- IEEE Transactions on Communications (TCOM)
- Future Generation Computer Systems (FGCS)
Conference Reviewer
- International Joint Conference on Neural Networks (IJCNN), 2025
- IEEE Congress on Evolutionary Computation (CEC), 2024-2025
Conference Committee Service
- Program Committee & Track Chair @ IEEE CloudCom 2025
- Program Committee @ AAAI 2026
π» Internships
- 2025.07 - 2025.09, Lorem, China.
β°οΈ Life beyond Research
π
- This is my girlfriend's homepage, who is a third-year Master's student at Sun Yat-sen University!
- She is also doing some awesome research on FL and LLMs! Welcome to visit and follow her work!
π
- We own a lovely and naughty cat named Fries(θ―ζ‘π)!!
