Dr. Zonghang Li

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

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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! :tada:
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 :tada::tada::tada:
Aug 05, 2024 Our paper titled “Energy-Efficient Hierarchical Collaborative Learning over LEO Satellite Constellations” is accepted by IEEE JSAC (CCF A)! :tada:
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)! :tada:
Jun 05, 2024 I joined MBZUAI as a postdoc researcher, the first AI University in the world, with Prof. Mohsen Guizani! :tada::tada::tada:

selected publications

  1. ACM TON (CCF A)
    Accelerating Geo-distributed Machine Learning with Network-Aware Adaptive Tree and Auxiliary Route
    Zonghang Li, Wenjiao Feng, Weibo Cai, and 5 more authors
    IEEE/ACM Transactions on Networking, 2024
  2. Book
    Geo-distributed Machine Learning: Enabling Integration of Intelligence on Multiple Clouds
    Hongfang Yu, Zonghang Li, Gang Sun, and 1 more author
    Publishing House of Electronics Industry. Student first author , 2023
  3. IEEE TSC (CCF A)
    ESync: Accelerating Intra-Domain Federated Learning in Heterogeneous Data Centers
    Zonghang Li, Huaman Zhou, Tianyao Zhou, and 3 more authors
    IEEE Transactions on Services Computing, 2022
  4. IEEE Network (Q1)
    Byzantine Resistant Secure Blockchained Federated Learning at the Edge
    Zonghang Li, Hongfang Yu, Tianyao Zhou, and 4 more authors
    IEEE Network, 2021
  5. IEEE Network (Q1)
    KlonetAI: Automating (Com)2Nets Management with Human Language Intents
    Qing Li, Yanxu Xiong, Zonghang Li, and 5 more authors
    IEEE Network. Corresponding author , 2024
  6. IEEE IoTJ (Q1)
    Data Heterogeneity-Robust Federated Learning via Group Client Selection in Industrial IoT
    Zonghang Li, Yihong He, Hongfang Yu, and 4 more authors
    IEEE Internet of Things Journal, 2022
  7. IEEE TMC (CCF A)
    Diffusion-based Reinforcement Learning for Edge-enabled AI-Generated Content Services
    Hongyang Du, Zonghang Li, Dusit Niyato, and 4 more authors
    IEEE Transactions on Mobile Computing. Co-first author, corresponding author , 2024
  8. IEEE TSC (CCF A)
    NBSync: Parallelism of Local Computing and Global Synchronization for Fast Distributed Machine Learning in WANs
    Huaman Zhou, Zonghang Li, Hongfang Yu, and 2 more authors
    IEEE Transactions on Services Computing, 2023
  9. IEEE JSAC (CCF A)
    Personalized Saliency in Task-Oriented Semantic Communications: Image Transmission and Performance Analysis
    Jiawen Kang, Hongyang Du, Zonghang Li, and 4 more authors
    IEEE Journal on Selected Areas in Communications. Best Paper Award , 2023
  10. IEEE Wire. Comm. (Q1)
    Enabling AI-Generated Content Services in Wireless Edge Networks
    Hongyang Du, Zonghang Li, Dusit Niyato, and 4 more authors
    IEEE Wireless Communications. Co-first author , 2024
  11. IEEE JSAC (CCF A)
    Energy-Efficient Hierarchical Collaborative Learning over LEO Satellite Constellations
    Long Luo, Chi Zhang, Hongfang Yu, and 3 more authors
    IEEE Journal on Selected Areas in Communications, 2024
  12. IEEE COMST (Q1)
    Enhancing Deep Reinforcement Learning: A Tutorial on Generative Diffusion Models in Network Optimization
    Hongyang Du, Ruichen Zhang, Yinqiu Liu, and 8 more authors
    IEEE Communications Surveys & Tutorials. Co-first author , 2023
  13. IEEE TCC (Q1)
    HFedMS: Heterogeneous Federated Learning With Memorable Data Semantics in Industrial Metaverse
    Shenglai Zeng, Zonghang Li, Hongfang Yu, and 4 more authors
    IEEE Transactions on Cloud Computing. Co-first author, Best Paper Award , 2023
  14. DASFAA
    Heterogeneous Federated Learning via Grouped Sequential-to-parallel Training
    Shenglai Zeng, Zonghang Li, Hongfang Yu, and 4 more authors
    In DASFAA . Co-first author , 2022
  15. IEEE TNSM (Q1)
    TSEngine: Enable Efficient Communication Overlay in Distributed Machine Learning in WANs
    Huaman Zhou, Weibo Cai, Zonghang Li, and 4 more authors
    IEEE Transactions on Network and Service Management, 2021
  16. FGCS (Q1)
    DGT: A Contribution-aware Differential Gradient Transmission Mechanism for Distributed Machine Learning
    Huaman Zhou, Zonghang Li, Qingqing Cai, and 4 more authors
    Future Generation Computer Systems, 2021