Publications
Selected Publication, + indicates equal contribution, * indicates corresponding author, ^ indicates the student mentored by me.
2024
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
2023
- 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.
- 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.
- 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.
- 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.
- Floodet: a Lightweight Edge AI Model for Intelligent Flood Detection.
[paper]
[bibtex]
Wenzhong Ou, Liekang Zeng, Xu Chen.
IEEE Applied Sensing Conference (APSCON), 2023.
2022
- 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.
- 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%.
- 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%.
- 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%.
- 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.
- 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%.
2021
- 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).
- Edge-enabled Intelligence for Industrial IoT.
[book chapter]
[bibtex]
Liekang Zeng, Xu Chen.
Intelligent IoT for the Digital World, 2021.
- 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.
- 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.
- 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.
2020 and Earilier
- 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.
- 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.
- 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.
- 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.
- 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).
- 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.
- 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%.
- 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).
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