Liekang Zeng  

Postdoctoral Research Fellow

Embedded AI and IoT Lab

Department of Information Engineering

The Chinese University of Hong Kong

E-mail: lkzeng [AT] cuhk [dot] edu [dot] hk

My GitHub, dblp, and Google Scholar [>3000 citations]
My Photo

Biography

I am currently a postdoctoral research fellow at The Chinese University of Hong Kong, working with Prof. Guoliang Xing. I obtained my Ph.D. degree (with honor), under the supervision of Prof. Xu Chen, and B.E. degree (with honor) at Sun Yat-sen University.

Research Interests

My research interest lies in building full-stack edge intelligence systems with real-time responsiveness, systematic resource efficiency, and theoretical performance guarantee. Currently, I focus on developing efficient and affordable LLM and graph learning systems with distributed edge computing.

Research Overview:

  • Collaborative Edge Intelligence
  • Edge Robotics
  • Edge Network Optimization
    • Satellite edge computing: SECO [INFOCOM'24]
    • Sustainable federated learning systems: FlocOff [JSAC'24], HERO [IOTM'24]
    • Efficient edge offloading: MOGR [ICC'24], IAO [IoTJ'21], CERP [RTSS'19]
    • Practical privacy and security: ChainDP+ [TMC'24], ChainDP [IWQoS'23]

News

  • [May 2025] Our poster on mobile menstrual health advising is accepted by MobiSys'25. Congrats, Xiang!
  • [May 2025] Our work on collaborative edge Transformer inference is accepted by TMC. Congrats, Shengyuan!
  • [Apr. 2025] Our work on confidential edge-cloud Transformer inference is accepted by SIGCOMM'25. Congrats, Mu!
  • [Apr. 2025] Our work on location privacy protection in MEC is accepted by TIFS. Congrats, Jingyi!
  • [Jan 2025] Our work on reviwing the combination of edge AI and graph intelligence is accepted by COMST.
  • [Dec. 2024] Two papers on LLM computation scheduling and generative model serving in collaborative edge networks are accepted by INFOCOM'24. Congrats, Mulei and Shengyuan!
  • [Nov. 2024] Present our edge collaborative training work Asteroid at MobiCom 2024.
  • [Oct. 2024] Our work on edge resource probing and exploitation is accepted by TSC.
  • [Oct. 2024] Our work on privacy budget reuse in Federated Learning is accepted by TMC. Congrats, Jingyi!
  • [Aug. 2024] Invited to serve as a TPC member in MSN'24 and NPC'24.
  • [July 2024] Our survey on edge graph intelligence is released at Arxiv.
  • [June 2024] Our work on online utility optimization in collaborative edge network is accepted by TON.
  • [June 2024] Our work on edge-enabled LLM fine-tuning is accepted by ICPP. Congrats, Bei and Shengyuan!
  • [May 2024] Our work on data heterogeneity resilient federated learning is accepted by JSAC. Congrats, Mulei!
    • ...

Selected Publications  

Full Publications, * indicates equal contribution, # indicates corresponding author, + indicates the student mentored by me.

  1. Edge Graph Intelligence: Reciprocally Empowering Edge Networks with Graph Intelligence.
    [paper] [bibtex]
    Liekang Zeng, Shengyuan Ye+, Xu Chen, Xiaoxi Zhang, Ju Ren, Jian Tang, Yang Yang, Xuemin (Sherman) Shen.
    IEEE Communications Survey and Tutorial, 2025, SCI-1.
  2. SCX: Stateless KV-Cache Encoding for Cloud-Scale Confidential Transformer Serving.
    [paper] [bibtex]
    Mu Yuan, Lan Zhang, Liekang Zeng, Siyang Jiang, Bufang Yang, Di Duan, Guoliang Xing
    Annual conference of the ACM Special Interest Group on Data Communication (SIGCOMM)， 2025. CCF-A.
  3. Multi-tier Multi-node Scheduling of LLM for Collaborative AI Computing.
    [paper] [bibtex]
    Mulei Ma+, Chenyu Gong+, Liekang Zeng#, Yang Yang.
    IEEE International Conference on Computer Communications (INFOCOM), 2025. CCF-A.
  4. Implementation of Big AI Models for Wireless Networks with Collaborative Edge Computing.
    [paper] [bibtex]
    Liekang Zeng, Shengyuan Ye+, Xu Chen, Yang Yang.
    IEEE Wireless Communications, 2024.
  5. FlocOff: Data Heterogeneity Resilient Federated Learning with Communication-Efficient Edge Offloading.
    [paper] [bibtex]
    Mulei Ma+, Chenyu Gong+, Liekang Zeng#, Yang Yang, Liantao Wu.
    IEEE Journal of Selected Areas in Communications (JSAC), 2024. CCF-A.
  6. Asteroid: Resource-Efficient Hybrid Pipeline Parallelism for Collaborative DNN Training on Heterogeneous Edge Devices.
    [paper] [bibtex] [slides]
    Shengyuan Ye*+, Liekang Zeng*, Xiaowen Chu, Guoliang Xing, Xu Chen.
    ACM International Conference on Mobile Computing and Networking (MobiCom), 2024. CCF-A.
  7. A3D: Adaptive, Accurate and Autonomous Navigation for Edge-Assisted Drones.
    [paper] [bibtex]
    Liekang Zeng, Haowei Chen+, Daipeng Feng+, Xiaoxi Zhang, Xu Chen.
    IEEE/ACM Transactions on Networking (TON), 2023. CCF-A.
  8. Serving Graph Neural Networks with Distributed Fog Servers for Smart IoT Services.
    [paper] [bibtex]
    Liekang Zeng, Xu Chen, Peng Huang+, Ke Luo, Xiaoxi Zhang, Zhi Zhou.
    IEEE/ACM Transactions on Networking (TON), 2023. CCF-A.
  9. GNN at the Edge: Cost-Efficient Graph Neural Network Processing over Distributed Edge Servers.
    [paper] [bibtex] [blog]
    Liekang Zeng, Chongyu Yang+, Peng Huang+, Zhi Zhou, Shuai Yu, Xu Chen.
    IEEE Journal of Selected Areas in Communications (JSAC), 2022. CCF-A.
  10. Fograph: Enabling Real-Time Deep Graph Inference with Fog Computing.
    [paper] [slides] [video] [bibtex] [blog]
    Liekang Zeng, Peng Huang+, Ke Luo, Xiaoxi Zhang, Zhi Zhou, Xu Chen.
    The Web Conference (WWW), 2022. CCF-A, AR=17.7%.
  11. CoEdge: Cooperative DNN Inference with Adaptive Workload Partitioning over Heterogeneous Edge Devices.
    [paper] [bibtex]
    Liekang Zeng, Xu Chen, Zhi Zhou, Lei Yang, Junshan Zhang.
    IEEE/ACM Transactions on Networking (TON), 2021. CCF-A.
    🏵️ Recognized in TON's Top 5 popular articles (Dec. 2021 - Oct. 2022).
  12. Edge AI: On-Demand Accelerating Deep Neural Network Inference via Edge Computing.
    [paper] [bibtex] [press-ABI Research]
    En Li*, Liekang Zeng*, Zhi Zhou, Xu Chen.
    IEEE Transactions on Wireless Communications (TWC), 2020. CCF-B.
    🔥 ESI Highly Cited Paper (700+ Citations).
  13. Boomerang: On-Demand Cooperative Deep Neural Network Inference for Edge Intelligence on the Industrial Internet of Things.
    [paper] [bibtex] [press-ABI Research]
    Liekang Zeng, En Li, Zhi Zhou, Xu Chen.
    IEEE Network (NET), 2019.
  14. Edge Intelligence: Paving the Last Mile of Artificial Intelligence with Edge Computing.
    [paper] [bibtex] [book] [press-APNet] [press-IEEE]
    Zhi Zhou, Xu Chen, En Li, Liekang Zeng, Ke Luo, Junshan Zhang.
    Proceedings of the IEEE (PIEEE), 2019. CCF-A.
    🔥 ESI Highly Cited Paper (2000+ Citations).

Selected Awards

  • Excellent Reviewer for IEEE Transactions on Network Science and Engineering, 2024
  • SYSU Outstanding Ph.D. Graduate (Summa Cum Laude), 2023
  • SYSU Presidential Fellowship, 2022
  • National Ph.D. Scholarship, 2022
  • Professor Shu-Jun Wang Memorial Fellowship, 2021
  • Excellent Ph.D. Student Scholarship, 2018-2023
  • SYSU Outstanding Undergraduate (Summa Cum Laude), 2018
  • Finalist Award, Mathematical Contest in Modeling/Interdisciplinary Contest in Modeling, 2016
  • Excellent Undergraduate Student Scholarship, 2014-2018

Working Experience

  • Research assistant at National Supercomputing Center in Guangzhou (Spring 2018)
  • Research intern at Cloud & Mobile Research Group, Microsoft Research Asia (Fall 2017)

Teaching Experience

  • DCS6270: Edge Computing. (Spring 2022)
  • DCS207: Principles of Computer Organization. (Fall 2021)
  • EIT116/EIT118: Digital Circuits and Logical Design. (Spring 2020, Spring 2019)
  • DCS110/DCS112: Object-Oriented Programming. (Spring 2019, Spring 2017)

Academic Services

  • Program Committee Member
    • IFIP International Conference on Network and Parallel Computing 2025, 2024
    • International Conference on Mobility, Sensing and Networking 2024, 2023
    • International Workshop on Intelligent Cloud Computing and Networking 2022, 2021 (Co-located with INFOCOM 2022, 2021)
    • International Workshop on Mobility in the Evolving Internet Architecture 2019 (Co-located with ICNP 2019)
  • Journal Reviewer
    • IEEE/ACM Transactions on Networking
    • IEEE Journal of Selected Areas in Communications
    • IEEE Transactions on Mobile Computing
    • IEEE Transactions on Parallel and Distributed Systems
    • IEEE Transactions on Computers
    • IEEE Transactions on Wireless Communications
    • IEEE Transactions on Cloud Computing
    • IEEE Transactions on Network Science and Engineering
    • IEEE Internet of Things Journal
    • IEEE Transactions on Vehicular Technology
    • ACM Transactions on Internet Technology
    • ACM Transactions on Autonomous and Adaptive Systems
    • ACM Transactions on Computing for Healthcare