Dr. Zonghang Li
Email: lizhuestc@gmail.com Wechat: lizh_uestc Github: https://github.com/Lizonghang

Hi! I am Zonghang Li, a Ph.D. graduate from the School of Information and Communication Engineering at University of Electronic Science and Technology of China (UESTC), advised by Prof. Hongfang Yu. Before that, I received my Bachelor’s degree (2018) from UESTC. I visited University of Oxford in 2018, Peng Cheng Laboratory in 2020 advised by Prof. Zenglin Xu, and Nanyang Technological University (NTU) in 2021 advised by Prof. Dusit Niyato and Prof. Han Yu. Now, I am doing postdoc research at MBZUAI with Prof. Mohsen Guizani.
My research interests are mainly in Distributed AI Systems, including:
- Optimizations for Large Model Training & Inference
- Computer Network for Distributed ML Systems
- Efficient and Robust Federated Learning
Now, I have published more than 30 papers in top-tier journals including IEEE/ACM TON, IEEE TSC, IEEE TMC, IEEE JSAC, IEEE COMST, IEEE Wire. Comm., IEEE TCC, IEEE TNSM, etc. I also contributed to a work adopted by a paper on NSDI 2024. Additionally, I obtained 6 CN Patents and authored one book titled “Geo-distributed Machine Learning: Enabling Integration of Intelligence on Multiple Clouds”. My work GeoMX won the Future Network Leading Innovative Scientific and Technological Achievement Award of China Institute of Communications in 2021, and our papers won the Best Paper Award of Guangdong Computer Society and Best Paper Award of IEEE Transactions on Cloud Computing in 2023. I serve as an assistant area editor in IEEE IoT-J, an assistant editor in IEEE COMST and IEEE Network, an assistant guest editor in IEEE VTM, IEEE IoTM, and a TPC member in HPCC 2021, WCNC 2022-2023, and iThings 2023.
news
Mar 26, 2025 | I am invited to give a talk on edge AI at the University of Birmingham Dubai. Wonderful roundtable discussion with professors! ![]() |
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Dec 12, 2024 | Our paper “Hfedms: Heterogeneous Federated Learning with Memorable Data Semantics in Industrial Metaverse” was awarded the 2023 Best Paper Award from IEEE Transactions on Cloud Computing ![]() ![]() ![]() |
Aug 05, 2024 | Our paper titled “Energy-Efficient Hierarchical Collaborative Learning over LEO Satellite Constellations” is accepted by IEEE JSAC (CCF A)! ![]() |
Jun 06, 2024 | Our paper titled “Accelerating Geo-distributed Machine Learning with Network-Aware Adaptive Tree and Auxiliary Route” is accepted by IEEE/ACM TON (CCF A)! ![]() |
Jun 05, 2024 | I joined MBZUAI as a postdoc researcher, the first AI University in the world, with Prof. Mohsen Guizani! ![]() ![]() ![]() |