Publications  

Selected Publication, + indicates equal contribution, * indicates corresponding author, ^ indicates the student mentored by me.


    2024
  1. 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. SCI-1.
  2. 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.
  3. Asteroid: Resource-Efficient Hybrid Pipeline Parallelism for Collaborative DNN Training on Heterogeneous Edge Devices. [paper] [bibtex]
    Shengyuan Ye+^, Liekang Zeng+, Xiaowen Chu, Guoliang Xing, Xu Chen.
    ACM International Conference on Mobile Computing and Networking (MobiCom), 2024. CCF-A.
  4. Green HERO: Energy-Efficient Hierarchical Federated Learning with Client Association in Industrial IoT. [paper] [bibtex]
    Chenyu Gong^, Mulei Ma^, Liekang Zeng, Yang Yang, Liantao Wu.
    IEEE Internet of Things Magazine, 2024.
  5. SECO: Multi-Satellite Edge Computing Enabled Wide-Area and Real-Time Earth Observation Missions. [paper] [bibtex]
    Zhiwei Zhai^, Liekang Zeng, Tao Ouyang, Shuai Yu, Qianyi Huang, Xu Chen.
    IEEE International Conference on Computer Communications (INFOCOM), 2024. CCF-A.
  6. Galaxy: A Resource-Efficient Collaborative Edge AI System for In-Situ Transformer Inference. [paper] [bibtex]
    Shengyuan Ye^, Jiangsu Du, Liekang Zeng, Wenzhong Ou, Xiaowen Chu, Yutong Lu, Xu Chen.
    IEEE International Conference on Computer Communications (INFOCOM), 2024. CCF-A.
  7. Delay Analysis of Multi-Priority Computing Tasks in Alibaba Cluster Traces. [paper] [bibtex]
    Chenyu Gong^, Mulei Ma^, Liekang Zeng, Yang Yang, Xiaohu Ge, Liantao Wu.
    International Workshop on Intelligent Cloud Computing and Networking,
    in conjunction with IEEE International Conference on Computer Communications (INFOCOM), 2024.
  8. Service Localization and User Satisfaction Enabled Multi-Tier Computing IoT System [paper] [bibtex]
    Chenyu Gong^, Mulei Ma^, Liekang Zeng, Yang Yang, Liantao Wu, Zening Liu.
    International Workshop on Digital Twin-Enabled 6G Multi-Tier Distributed Computing Systems
    in conjunction with IEEE International Conference on Distributed Computing Systems (ICDCS), 2024.
  9. MOGR: Multi-Task Offloading via Graph Representation in Heterogeneous Computing Network. [paper] [bibtex]
    Mulei Ma^, Chenyu Gong^, Liekang Zeng, Yang Yang.
    IEEE International Conference on Communications (ICC), 2024. CCF-C.

  10. 2023
  11. 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.
  12. 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.
  13. Chained-DP: Can We Recycle Privacy Budget? [paper] [bibtex]
    Jingyi Li^, Guangjing Huang, Liekang Zeng, Lin Chen, Xu Chen.
    IEEE/ACM International Symposium on Quality of Service (IWQoS), 2023. CCF-B.
  14. Real-Time High-Resolution Pedestrian Detection in Crowded Scenes via Parallel Edge Offloading. [paper] [bibtex]
    Hao Wang, Hao Bao, Liekang Zeng, Ke Luo, Xu Chen.
    IEEE International Conference on Communications (ICC), 2023. CCF-C.
  15. Floodet: a Lightweight Edge AI Model for Intelligent Flood Detection. [paper] [bibtex]
    Wenzhong Ou, Liekang Zeng, Xu Chen.
    IEEE Applied Sensing Conference (APSCON), 2023.

  16. 2022
  17. 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.
  18. 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.
    ACM The Web Conference (WWW), 2022. CCF-A, AR=17.7%.
  19. Eco-FL: Adaptive Federated Learning with Efficient Edge Collaborative Pipeline Training. [paper] [code] [slides] [video] [bibtex]
    Shengyuan Ye^, Liekang Zeng, Qiong Wu, Ke Luo, Qingze Fang, Xu Chen.
    International Conference on Parallel Processing (ICPP), 2022. CCF-B, AR=27.0%.
  20. AdaDrone: Quality of Navigation Based Neural Adaptive Scheduling for Edge-Assisted Drones. [paper] [slides] [bibtex]
    Haowei Chen+^, Liekang Zeng+, Xiaoxi Zhang, Xu Chen.
    IEEE International Conference on Distributed Computing Systems (ICDCS), 2022. CCF-B, AR=19.9%.
  21. Edge Robotics: Edge Computing Accelerated Multi-Robot Simultaneous Localization and Mapping. [paper] [bibtex]
    Peng Huang+^, Liekang Zeng+, Xu Chen, Ke Luo, Zhi Zhou, Shuai Yu.
    IEEE Internet of Things Journal (IoTJ), 2022. SCI-1.
  22. Adaptive Progressive Image Enhancement for Edge-Assisted Mobile Vision [paper] [bibtex]
    Daipeng Feng^, Liekang Zeng, Lingjun Pu, Xu Chen.
    International Conference on Mobility, Sensing and Networking (MSN), 2022. CCF-C, AR=29.1%.

  23. 2021
  24. 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).
  25. Edge-enabled Intelligence for Industrial IoT. [book chapter] [bibtex]
    Liekang Zeng, Xu Chen.
    Intelligent IoT for the Digital World, 2021.
  26. Joint Multiuser DNN Partitioning and Computational Resource Allocation for Collaborative Edge Intelligence. [paper] [bibtex]
    Xin Tang, Xu Chen, Liekang Zeng, Shuai Yu, Lin Chen.
    IEEE Internet of Things Journal (IoTJ), 2021. SCI-1.
  27. ColaSLAM: Real-Time Multi-Robot Collaborative Laser SLAM via Edge Computing. [paper] [bibtex]
    Peng Huang^, Liekang Zeng, Ke Luo, Jinhong Guo, Zhi Zhou, Xu Chen.
    IEEE/CIC International Conference on Communications in China (ICCC), 2021.
  28. Power Efficient Autonomous UAV Navigation Algorithm: An Edge Intelligence Driven Approach. [paper] [bibtex]
    Chunmin Lin, Liekang Zeng, Xu Chen.
    Chinese Journal on Internet of Things (CJIoT), 2021. CCF-T2 Chinese Journal.

  29. 2020 and Earilier
  30. Edge Intelligence via Model Training. [book chapter] [bibtex]
    Liekang Zeng, En Li, Zhi Zhou, Xu Chen.
    Edge Intelligence in the Making: Optimization, Deep Learning, and Applications, 2020.
  31. Edge Intelligence via Model Inference. [book chapter] [bibtex]
    Liekang Zeng, En Li, Zhi Zhou, Xu Chen.
    Edge Intelligence in the Making: Optimization, Deep Learning, and Applications, 2020.
  32. On-Demand Accelerating Deep Neural Network Inference via Edge Computing. [book chapter] [bibtex]
    Liekang Zeng, En Li, Zhi Zhou, Xu Chen.
    Edge Intelligence in the Making: Optimization, Deep Learning, and Applications, 2020.
  33. Knowledge Distillation for Mobile Edge Computation Offloading. [paper] [bibtex]
    Haowei Chen^, Liekang Zeng, Shuai Yu, Xu Chen.
    ZTE Communications (ZTEC), 2020. CCF-T3 Chinese Journal.
  34. 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 (500+ Citations).
  35. 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.
  36. Cost-Aware Edge Resource Probing for Infrastructure-Free Edge Computing: From Optimal Stopping to Layered Learning. [paper] [bibtex]
    Tao Ouyang, Xu Chen, Liekang Zeng, Zhi Zhou.
    IEEE Real-Time Systems Symposium (RTSS), 2019. CCF-A, AR=24.4%.
  37. 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 (1500+ Citations).