Liekang Zeng

66 papers A* 7A 4B 3C 1Journal 46Unranked 5
YearRankTypeTitle / Venue / Authors
2026 J jnl
BOTH: Efficient Coordination of Mobile Agents With Graph-Enhanced Bayesian Online Learning.
IEEE Trans. Mob. Comput.
Hui Wang, Zhiwen Yu, Yao Zhang, Jiaqi Liu, Liekang Zeng, Huan Zhou, Bin Guo, Guoliang Xing
2026 J jnl
PerCache: Predictive Hierarchical Cache for RAG Applications on Mobile Devices.
CoRR
Kaiwei Liu, Liekang Zeng, Lilin Xu, Bufang Yang, Zhenyu Yan
2026 J jnl
Reasoning with Autoregressive-Diffusion Collaborative Thoughts.
CoRR
Mu Yuan, Liekang Zeng, Guoliang Xing, Lan Zhang, Yunhao Liu
2026 J jnl
Resource-Efficient Personal Large Language Models Fine-Tuning With Collaborative Edge Computing.
IEEE Trans. Parallel Distributed Syst.
Shengyuan Ye, Bei Ouyang, Tianyi Qian, Liekang Zeng, Jingyi Li, Jiangsu Du, Xiaowen Chu, Guoliang Xing, Xu Chen
2025 J jnl
An LLM-Empowered Low-Resolution Vision System for On-Device Human Behavior Understanding.
CoRR
Siyang Jiang, Bufang Yang, Lilin Xu, Mu Yuan, Yeerzhati Abudunuer, Kaiwei Liu, Liekang Zeng, Hongkai Chen, Zhenyu Yan, Xiaofan Jiang, Guoliang Xing
2025 J jnl
ContextAgent: Context-Aware Proactive LLM Agents with Open-World Sensory Perceptions.
CoRR
Bufang Yang, Lilin Xu, Liekang Zeng, Kaiwei Liu, Siyang Jiang, Wenrui Lu, Hongkai Chen, Xiaofan Jiang, Guoliang Xing, Zhenyu Yan
2025 J jnl
Edge Graph Intelligence: Reciprocally Empowering Edge Networks With Graph Intelligence.
IEEE Commun. Surv. Tutorials
Liekang Zeng, Shengyuan Ye, Xu Chen, Xiaoxi Zhang, Ju Ren, Jian Tang, Yang Yang, Xuemin Shen
2025 A conf
Grape: Efficient Spatiotemporal Prediction Services with Stale Sensing Streams.
RTSS
Liekang Zeng, Yunchao Liu, Shengyuan Ye, Mu Yuan, Di Duan, Xu Chen, Guoliang Xing
2025 A* conf
Jupiter: Fast and Resource-Efficient Collaborative Inference of Generative LLMs on Edge Devices.
INFOCOM
Shengyuan Ye, Bei Ouyang, Liekang Zeng, Tianyi Qian, Xiaowen Chu, Jian Tang, Xu Chen
2025 J jnl
Jupiter: Fast and Resource-Efficient Collaborative Inference of Generative LLMs on Edge Devices.
CoRR
Shengyuan Ye, Bei Ouyang, Liekang Zeng, Tianyi Qian, Xiaowen Chu, Jian Tang, Xu Chen
2025 J jnl
Mitigating Tail Latency for On-Device Inference With Load-Balanced Heterogeneous Models.
IEEE Trans. Mob. Comput.
Mu Yuan, Lan Zhang, Di Duan, Liekang Zeng, Miao-Hui Song, Zichong Li, Guoliang Xing, Xiang-Yang Li
2025 A* conf
Multi-Tier Multi-Node Scheduling of LLM for Collaborative AI Computing.
INFOCOM
Mulei Ma, Chenyu Gong, Liekang Zeng, Yang Yang
2025 A conf
Poster: Mobile Menstrual Health Advising with Multimodal Feature Engineering.
MobiSys
Xiang Ji, Liekang Zeng, Zhenyu Yan, Yunqi Guo, Hongkai Chen, Yao Wang, Guoliang Xing
2025 J jnl
ProAgent: Harnessing On-Demand Sensory Contexts for Proactive LLM Agent Systems.
CoRR
Bufang Yang, Lilin Xu, Liekang Zeng, Yunqi Guo, Siyang Jiang, Wenrui Lu, Kaiwei Liu, Hancheng Xiang, Xiaofan Jiang, Guoliang Xing, Zhenyu Yan
2025 J jnl
Resource-Efficient Collaborative Edge Transformer Inference With Hybrid Model Parallelism.
IEEE Trans. Mob. Comput.
Shengyuan Ye, Bei Ouyang, Jiangsu Du, Liekang Zeng, Tianyi Qian, Wenzhong Ou, Xiaowen Chu, Deke Guo, Yutong Lu, Xu Chen
2025 J jnl
Revisiting Location Privacy in MEC-Enabled Computation Offloading.
IEEE Trans. Inf. Forensics Secur.
Jingyi Li, Wenzhong Ou, Bei Ouyang, Shengyuan Ye, Liekang Zeng, Lin Chen, Xu Chen
2025 A* conf
SCX: Stateless KV-Cache Encoding for Cloud-Scale Confidential Transformer Serving.
SIGCOMM
Mu Yuan, Lan Zhang, Liekang Zeng, Siyang Jiang, Bufang Yang, Di Duan, Guoliang Xing
2025 J jnl
Sequential Privacy Budget Recycling for Federated Vector Mean Estimation: A Game-Theoretic Approach.
IEEE Trans. Mob. Comput.
Jingyi Li, Guangjing Huang, Liekang Zeng, Lin Chen, Xu Chen
2025 J jnl
Synera: Synergistic LLM Serving across Device and Cloud at Scale.
CoRR
Genglin Wang, Liekang Zeng, Bufang Yang, Kaiwei Liu, Guoliang Xing, Chumin Sun, Li Zhou, Jie Sun, Zhenyu Yan
2025 J jnl
Venus: An Efficient Edge Memory-and-Retrieval System for VLM-based Online Video Understanding.
CoRR
Shengyuan Ye, Bei Ouyang, Tianyi Qian, Liekang Zeng, Mu Yuan, Xiaowen Chu, Weijie Hong, Xu Chen
2024 J jnl
A3D: Adaptive, Accurate, and Autonomous Navigation for Edge-Assisted Drones.
IEEE/ACM Trans. Netw.
Liekang Zeng, Haowei Chen, Daipeng Feng, Xiaoxi Zhang, Xu Chen
2024 A* conf
Asteroid: Resource-Efficient Hybrid Pipeline Parallelism for Collaborative DNN Training on Heterogeneous Edge Devices.
MobiCom
Shengyuan Ye, Liekang Zeng, Xiaowen Chu, Guoliang Xing, Xu Chen
2024 J jnl
Asteroid: Resource-Efficient Hybrid Pipeline Parallelism for Collaborative DNN Training on Heterogeneous Edge Devices.
CoRR
Shengyuan Ye, Liekang Zeng, Xiaowen Chu, Guoliang Xing, Xu Chen
2024 J jnl
Cost-Aware Dispersed Resource Probing and Offloading at the Edge: A User-Centric Online Layered Learning Approach.
IEEE Trans. Serv. Comput.
Tao Ouyang, Xu Chen, Liekang Zeng, Zhi Zhou
2024 — conf
Delay Analysis of Multi-Priority Computing Tasks in Alibaba Cluster Traces.
INFOCOM (Workshops)
Chenyu Gong, Mulei Ma, Liekang Zeng, Yang Yang, Xiaohu Ge, Liantao Wu
2024 J jnl
Edge Graph Intelligence: Reciprocally Empowering Edge Networks with Graph Intelligence.
CoRR
Liekang Zeng, Shengyuan Ye, Xu Chen, Xiaoxi Zhang, Ju Ren, Jian Tang, Yang Yang, Xuemin Shen
2024 J jnl
FlocOff: Data Heterogeneity Resilient Federated Learning With Communication-Efficient Edge Offloading.
IEEE J. Sel. Areas Commun.
Mulei Ma, Chenyu Gong, Liekang Zeng, Yang Yang, Liantao Wu
2024 J jnl
FlocOff: Data Heterogeneity Resilient Federated Learning with Communication-Efficient Edge Offloading.
CoRR
Mulei Ma, Chenyu Gong, Liekang Zeng, Yang Yang, Liantao Wu
2024 A* conf
Galaxy: A Resource-Efficient Collaborative Edge AI System for In-situ Transformer Inference.
INFOCOM
Shengyuan Ye, Jiangsu Du, Liekang Zeng, Wenzhong Ou, Xiaowen Chu, Yutong Lu, Xu Chen
2024 J jnl
Galaxy: A Resource-Efficient Collaborative Edge AI System for In-situ Transformer Inference.
CoRR
Shengyuan Ye, Jiangsu Du, Liekang Zeng, Wenzhong Ou, Xiaowen Chu, Yutong Lu, Xu Chen
2024 J jnl
Green HERO: Energy-Efficient Hierarchical Federated Learning with Client Association in Industrial IoT.
IEEE Internet Things Mag.
Chenyu Gong, Mulei Ma, Liekang Zeng, Yang Yang, Liantao Wu
2024 J jnl
Implementation of Big AI Models for Wireless Networks with Collaborative Edge Computing.
CoRR
Liekang Zeng, Shengyuan Ye, Xu Chen, Yang Yang
2024 J jnl
Implementation of Big AI Models for Wireless Networks with Collaborative Edge Computing.
IEEE Wirel. Commun.
Liekang Zeng, Shengyuan Ye, Xu Chen, Yang Yang
2024 — conf
MOGR: Multi-task Offloading via Graph Representation in Heterogeneous Computing Network.
ICC
Mulei Ma, Chenyu Gong, Liekang Zeng, Yang Yang
2024 J jnl
Online Optimization of DNN Inference Network Utility in Collaborative Edge Computing.
CoRR
Rui Li, Tao Ouyang, Liekang Zeng, Guocheng Liao, Zhi Zhou, Xu Chen
2024 J jnl
Online Optimization of DNN Inference Network Utility in Collaborative Edge Computing.
IEEE/ACM Trans. Netw.
Rui Li, Tao Ouyang, Liekang Zeng, Guocheng Liao, Zhi Zhou, Xu Chen
2024 J jnl
Pluto and Charon: A Time and Memory Efficient Collaborative Edge AI Framework for Personal LLMs Fine-Tuning.
CoRR
Bei Ouyang, Shengyuan Ye, Liekang Zeng, Tianyi Qian, Jingyi Li, Xu Chen
2024 B conf
Pluto and Charon: A Time and Memory Efficient Collaborative Edge AI Framework for Personal LLMs Fine-tuning.
ICPP
Bei Ouyang, Shengyuan Ye, Liekang Zeng, Tianyi Qian, Jingyi Li, Xu Chen
2024 A* conf
SECO: Multi-Satellite Edge Computing Enabled Wide-Area and Real-Time Earth Observation Missions.
INFOCOM
Zhiwei Zhai, Liekang Zeng, Tao Ouyang, Shuai Yu, Qianyi Huang, Xu Chen
2024 — conf
Service Localization and User Satisfaction Enabled Multi-Tier Computing IoT System.
ICDCSW
Chenyu Gong, Mulei Ma, Liekang Zeng, Yang Yang, Liantao Wu, Zening Liu
2024 J jnl
Serving Graph Neural Networks With Distributed Fog Servers for Smart IoT Services.
IEEE/ACM Trans. Netw.
Liekang Zeng, Xu Chen, Peng Huang, Ke Luo, Xiaoxi Zhang, Zhi Zhou
2023 J jnl
A3D: Adaptive, Accurate, and Autonomous Navigation for Edge-Assisted Drones.
CoRR
Liekang Zeng, Haowei Chen, Daipeng Feng, Xiaoxi Zhang, Xu Chen
2023 B conf
Chained-DP: Can We Recycle Privacy Budget?
IWQoS
Jingyi Li, Guangjing Huang, Liekang Zeng, Lin Chen, Xu Chen
2023 J jnl
GNN at the Edge: Cost-Efficient Graph Neural Network Processing Over Distributed Edge Servers.
IEEE J. Sel. Areas Commun.
Liekang Zeng, Chongyu Yang, Peng Huang, Zhi Zhou, Shuai Yu, Xu Chen
2023 — conf
Real-Time High-Resolution Pedestrian Detection in Crowded Scenes via Parallel Edge Offloading.
ICC
Hao Wang, Hao Bao, Liekang Zeng, Ke Luo, Xu Chen
2023 J jnl
Real-Time High-Resolution Pedestrian Detection in Crowded Scenes via Parallel Edge Offloading.
CoRR
Hao Wang, Hao Bao, Liekang Zeng, Ke Luo, Xu Chen
2023 J jnl
Serving Graph Neural Networks With Distributed Fog Servers For Smart IoT Services.
CoRR
Liekang Zeng, Xu Chen, Peng Huang, Ke Luo, Xiaoxi Zhang, Zhi Zhou
2022 A conf
AdaDrone: Quality of Navigation Based Neural Adaptive Scheduling for Edge-Assisted Drones.
ICDCS
Haowei Chen, Liekang Zeng, Xiaoxi Zhang, Xu Chen
2022 — conf
Adaptive Progressive Image Enhancement for Edge-Assisted Mobile Vision.
MSN
Daipeng Feng, Liekang Zeng, Lingjun Pu, Xu Chen
2022 B conf
Eco-FL: Adaptive Federated Learning with Efficient Edge Collaborative Pipeline Training.
ICPP
Shengyuan Ye, Liekang Zeng, Qiong Wu, Ke Luo, Qingze Fang, Xu Chen
2022 J jnl
Edge Robotics: Edge-Computing-Accelerated Multirobot Simultaneous Localization and Mapping.
IEEE Internet Things J.
Peng Huang, Liekang Zeng, Xu Chen, Ke Luo, Zhi Zhou, Shuai Yu
2022 A* conf
Fograph: Enabling Real-Time Deep Graph Inference with Fog Computing.
WWW
Liekang Zeng, Peng Huang, Ke Luo, Xiaoxi Zhang, Zhi Zhou, Xu Chen
2022 J jnl
GNN at the Edge: Cost-Efficient Graph Neural Network Processing over Distributed Edge Servers.
CoRR
Liekang Zeng, Chongyu Yang, Peng Huang, Zhi Zhou, Shuai Yu, Xu Chen
2021 J jnl
CoEdge: Cooperative DNN Inference With Adaptive Workload Partitioning Over Heterogeneous Edge Devices.
IEEE/ACM Trans. Netw.
Liekang Zeng, Xu Chen, Zhi Zhou, Lei Yang, Junshan Zhang
2021 C conf
ColaSLAM: Real-Time Multi-Robot Collaborative Laser SLAM via Edge Computing.
ICCC
Peng Huang, Liekang Zeng, Ke Luo, Jinhong Guo, Zhi Zhou, Xu Chen
2021 J jnl
Edge Robotics: Edge-Computing-Accelerated Multi-Robot Simultaneous Localization and Mapping.
CoRR
Peng Huang, Liekang Zeng, Xu Chen, Ke Luo, Zhi Zhou, Shuai Yu
2021 J jnl
Joint Multiuser DNN Partitioning and Computational Resource Allocation for Collaborative Edge Intelligence.
IEEE Internet Things J.
Xin Tang, Xu Chen, Liekang Zeng, Shuai Yu, Lin Chen
2020 J jnl
CoEdge: Cooperative DNN Inference with Adaptive Workload Partitioning over Heterogeneous Edge Devices.
CoRR
Liekang Zeng, Xu Chen, Zhi Zhou, Lei Yang, Junshan Zhang
2020 J jnl
Edge AI: On-Demand Accelerating Deep Neural Network Inference via Edge Computing.
IEEE Trans. Wirel. Commun.
En Li, Liekang Zeng, Zhi Zhou, Xu Chen
2020 J jnl
Joint Multi-User DNN Partitioning and Computational Resource Allocation for Collaborative Edge Intelligence.
CoRR
Xin Tang, Xu Chen, Liekang Zeng, Shuai Yu, Lin Chen
2020 J jnl
Knowledge Distillation for Mobile Edge Computation Offloading.
CoRR
Haowei Chen, Liekang Zeng, Shuai Yu, Xu Chen
2019 J jnl
Boomerang: On-Demand Cooperative Deep Neural Network Inference for Edge Intelligence on the Industrial Internet of Things.
IEEE Netw.
Liekang Zeng, En Li, Zhi Zhou, Xu Chen
2019 A conf
Cost-Aware Edge Resource Probing for Infrastructure-Free Edge Computing: From Optimal Stopping to Layered Learning.
RTSS
Tao Ouyang, Xu Chen, Liekang Zeng, Zhi Zhou
2019 J jnl
Edge AI: On-Demand Accelerating Deep Neural Network Inference via Edge Computing.
CoRR
En Li, Liekang Zeng, Zhi Zhou, Xu Chen
2019 J jnl
Edge Intelligence: Paving the Last Mile of Artificial Intelligence With Edge Computing.
Proc. IEEE
Zhi Zhou, Xu Chen, En Li, Liekang Zeng, Ke Luo, Junshan Zhang
2019 J jnl
Edge Intelligence: Paving the Last Mile of Artificial Intelligence with Edge Computing.
CoRR
Zhi Zhou, Xu Chen, En Li, Liekang Zeng, Ke Luo, Junshan Zhang