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Liekang Zeng
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2020 – today
- 2024
- [j13]Chenyu Gong, Mulei Ma, Liekang Zeng, Yang Yang, Liantao Wu:
Green HERO: Energy-Efficient Hierarchical Federated Learning with Client Association in Industrial IoT. IEEE Internet Things Mag. 7(5): 30-36 (2024) - [j12]Mulei Ma, Chenyu Gong, Liekang Zeng, Yang Yang, Liantao Wu:
FlocOff: Data Heterogeneity Resilient Federated Learning With Communication-Efficient Edge Offloading. IEEE J. Sel. Areas Commun. 42(11): 3262-3277 (2024) - [j11]Liekang Zeng
, Xu Chen
Serving Graph Neural Networks With Distributed Fog Servers for Smart IoT Services. IEEE/ACM Trans. Netw. 32(1): 550-565 (2024) - [j10]Liekang Zeng
A3D: Adaptive, Accurate, and Autonomous Navigation for Edge-Assisted Drones. IEEE/ACM Trans. Netw. 32(1): 713-728 (2024) - [j9]Rui Li
Online Optimization of DNN Inference Network Utility in Collaborative Edge Computing. IEEE/ACM Trans. Netw. 32(5): 4414-4426 (2024) - [j8]Liekang Zeng, Shengyuan Ye, Xu Chen, Yang Yang:
Implementation of Big AI Models for Wireless Networks with Collaborative Edge Computing. IEEE Wirel. Commun. 31(3): 50-58 (2024) - [c15]Mulei Ma, Chenyu Gong, Liekang Zeng, Yang Yang:
MOGR: Multi-task Offloading via Graph Representation in Heterogeneous Computing Network. ICC 2024: 1237-1242 - [c14]Chenyu Gong, Mulei Ma, Liekang Zeng, Yang Yang, Liantao Wu, Zening Liu:
Service Localization and User Satisfaction Enabled Multi-Tier Computing IoT System. ICDCSW 2024: 47-52 - [c13]Bei Ouyang
Pluto and Charon: A Time and Memory Efficient Collaborative Edge AI Framework for Personal LLMs Fine-tuning. ICPP 2024: 762-771 - [c12]Chenyu Gong, Mulei Ma, Liekang Zeng, Yang Yang, Xiaohu Ge, Liantao Wu:
Delay Analysis of Multi-Priority Computing Tasks in Alibaba Cluster Traces. INFOCOM (Workshops) 2024: 1-6 - [c11]Shengyuan Ye, Jiangsu Du, Liekang Zeng, Wenzhong Ou, Xiaowen Chu, Yutong Lu, Xu Chen:
Galaxy: A Resource-Efficient Collaborative Edge AI System for In-situ Transformer Inference. INFOCOM 2024: 1001-1010 - [c10]Zhiwei Zhai, Liekang Zeng, Tao Ouyang, Shuai Yu, Qianyi Huang, Xu Chen:
SECO: Multi-Satellite Edge Computing Enabled Wide-Area and Real-Time Earth Observation Missions. INFOCOM 2024: 2548-2557 - [c9]Shengyuan Ye
Asteroid: Resource-Efficient Hybrid Pipeline Parallelism for Collaborative DNN Training on Heterogeneous Edge Devices. MobiCom 2024: 312-326 - [i17]Liekang Zeng, Shengyuan Ye, Xu Chen, Yang Yang:
Implementation of Big AI Models for Wireless Networks with Collaborative Edge Computing. CoRR abs/2404.17766 (2024) - [i16]Shengyuan Ye, Jiangsu Du, Liekang Zeng, Wenzhong Ou, Xiaowen Chu, Yutong Lu, Xu Chen:
Galaxy: A Resource-Efficient Collaborative Edge AI System for In-situ Transformer Inference. CoRR abs/2405.17245 (2024) - [i15]Mulei Ma, Chenyu Gong, Liekang Zeng, Yang Yang, Liantao Wu:
FlocOff: Data Heterogeneity Resilient Federated Learning with Communication-Efficient Edge Offloading. CoRR abs/2405.18739 (2024) - [i14]Rui Li, Tao Ouyang, Liekang Zeng, Guocheng Liao, Zhi Zhou, Xu Chen:
Online Optimization of DNN Inference Network Utility in Collaborative Edge Computing. CoRR abs/2406.19613 (2024) - [i13]Liekang Zeng, Shengyuan Ye, Xu Chen, Xiaoxi Zhang, Ju Ren, Jian Tang, Yang Yang, Xuemin Shen:
Edge Graph Intelligence: Reciprocally Empowering Edge Networks with Graph Intelligence. CoRR abs/2407.15320 (2024) - [i12]Shengyuan Ye, Liekang Zeng, Xiaowen Chu, Guoliang Xing, Xu Chen:
Asteroid: Resource-Efficient Hybrid Pipeline Parallelism for Collaborative DNN Training on Heterogeneous Edge Devices. CoRR abs/2408.08015 (2024) - [i11]Bei Ouyang, Shengyuan Ye, Liekang Zeng, Tianyi Qian, Jingyi Li, Xu Chen:
Pluto and Charon: A Time and Memory Efficient Collaborative Edge AI Framework for Personal LLMs Fine-Tuning. CoRR abs/2408.10746 (2024) - 2023
- [j7]Liekang Zeng
GNN at the Edge: Cost-Efficient Graph Neural Network Processing Over Distributed Edge Servers. IEEE J. Sel. Areas Commun. 41(3): 720-739 (2023) - [c8]Hao Wang, Hao Bao, Liekang Zeng, Ke Luo, Xu Chen:
Real-Time High-Resolution Pedestrian Detection in Crowded Scenes via Parallel Edge Offloading. ICC 2023: 2173-2178 - [c7]Jingyi Li, Guangjing Huang, Liekang Zeng, Lin Chen, Xu Chen:
Chained-DP: Can We Recycle Privacy Budget? IWQoS 2023: 1-4 - [i10]Hao Wang, Hao Bao, Liekang Zeng, Ke Luo, Xu Chen:
Real-Time High-Resolution Pedestrian Detection in Crowded Scenes via Parallel Edge Offloading. CoRR abs/2301.08406 (2023) - [i9]Liekang Zeng, Xu Chen, Peng Huang, Ke Luo, Xiaoxi Zhang, Zhi Zhou:
Serving Graph Neural Networks With Distributed Fog Servers For Smart IoT Services. CoRR abs/2307.01684 (2023) - [i8]Liekang Zeng, Haowei Chen, Daipeng Feng, Xiaoxi Zhang, Xu Chen:
A3D: Adaptive, Accurate, and Autonomous Navigation for Edge-Assisted Drones. CoRR abs/2307.09880 (2023) - 2022
- [j6]Peng Huang
Edge Robotics: Edge-Computing-Accelerated Multirobot Simultaneous Localization and Mapping. IEEE Internet Things J. 9(15): 14087-14102 (2022) - [c6]Haowei Chen, Liekang Zeng, Xiaoxi Zhang, Xu Chen:
AdaDrone: Quality of Navigation Based Neural Adaptive Scheduling for Edge-Assisted Drones. ICDCS 2022: 548-558 - [c5]Shengyuan Ye
Eco-FL: Adaptive Federated Learning with Efficient Edge Collaborative Pipeline Training. ICPP 2022: 74:1-74:11 - [c4]Daipeng Feng, Liekang Zeng, Lingjun Pu, Xu Chen:
Adaptive Progressive Image Enhancement for Edge-Assisted Mobile Vision. MSN 2022: 744-751 - [c3]Liekang Zeng, Peng Huang, Ke Luo, Xiaoxi Zhang, Zhi Zhou, Xu Chen:
Fograph: Enabling Real-Time Deep Graph Inference with Fog Computing. WWW 2022: 1774-1784 - [i7]Liekang Zeng, Chongyu Yang, Peng Huang, Zhi Zhou, Shuai Yu, Xu Chen:
GNN at the Edge: Cost-Efficient Graph Neural Network Processing over Distributed Edge Servers. CoRR abs/2210.17281 (2022) - 2021
- [j5]Xin Tang
Joint Multiuser DNN Partitioning and Computational Resource Allocation for Collaborative Edge Intelligence. IEEE Internet Things J. 8(12): 9511-9522 (2021) - [j4]Liekang Zeng
CoEdge: Cooperative DNN Inference With Adaptive Workload Partitioning Over Heterogeneous Edge Devices. IEEE/ACM Trans. Netw. 29(2): 595-608 (2021) - [c2]Peng Huang, Liekang Zeng, Ke Luo, Jinhong Guo, Zhi Zhou, Xu Chen:
ColaSLAM: Real-Time Multi-Robot Collaborative Laser SLAM via Edge Computing. ICCC 2021: 242-247 - [i6]Peng Huang, Liekang Zeng, Xu Chen, Ke Luo, Zhi Zhou, Shuai Yu:
Edge Robotics: Edge-Computing-Accelerated Multi-Robot Simultaneous Localization and Mapping. CoRR abs/2112.13222 (2021) - 2020
- [j3]En Li
Edge AI: On-Demand Accelerating Deep Neural Network Inference via Edge Computing. IEEE Trans. Wirel. Commun. 19(1): 447-457 (2020) - [i5]Haowei Chen, Liekang Zeng, Shuai Yu, Xu Chen:
Knowledge Distillation for Mobile Edge Computation Offloading. CoRR abs/2004.04366 (2020) - [i4]Xin Tang, Xu Chen, Liekang Zeng, Shuai Yu, Lin Chen:
Joint Multi-User DNN Partitioning and Computational Resource Allocation for Collaborative Edge Intelligence. CoRR abs/2007.09072 (2020) - [i3]Liekang Zeng, Xu Chen, Zhi Zhou, Lei Yang, Junshan Zhang:
CoEdge: Cooperative DNN Inference with Adaptive Workload Partitioning over Heterogeneous Edge Devices. CoRR abs/2012.03257 (2020)
2010 – 2019
- 2019
- [j2]Liekang Zeng, En Li, Zhi Zhou, Xu Chen:
Boomerang: On-Demand Cooperative Deep Neural Network Inference for Edge Intelligence on the Industrial Internet of Things. IEEE Netw. 33(5): 96-103 (2019) - [j1]Zhi Zhou
Edge Intelligence: Paving the Last Mile of Artificial Intelligence With Edge Computing. Proc. IEEE 107(8): 1738-1762 (2019) - [c1]Tao Ouyang, Xu Chen, Liekang Zeng, Zhi Zhou:
Cost-Aware Edge Resource Probing for Infrastructure-Free Edge Computing: From Optimal Stopping to Layered Learning. RTSS 2019: 380-391 - [i2]Zhi Zhou, Xu Chen, En Li, Liekang Zeng, Ke Luo, Junshan Zhang:
Edge Intelligence: Paving the Last Mile of Artificial Intelligence with Edge Computing. CoRR abs/1905.10083 (2019) - [i1]En Li, Liekang Zeng, Zhi Zhou, Xu Chen:
Edge AI: On-Demand Accelerating Deep Neural Network Inference via Edge Computing. CoRR abs/1910.05316 (2019)
Coauthor Index
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last updated on 2024-11-07 20:28 CET by the dblp team
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