Website@SYSU：https://cse.sysu.edu.cn/teacher/ChenXu
Google Scholar: https://scholar.google.com/citations?user=BmiiIaoAAAAJ&hl=en
Email: chenxu35 -AT- mail.sysu.edu.cn
Dr. Xu Chen is currently a Full Professor and Assistant Dean at School of Computer Science and Engineering, Sun Yat-sen University, Guangzhou, China. He obtained the Ph.D. degree in Information Engineering from The Chinese University of Hong Kong, Hong Kong, China, in 2012. Before that, he received the B.Eng. degree in Electronic Engineering from South China University of Technology, Guangzhou, China, in 2008. From August 2012 to February 2014, Dr. Chen was a Postdoctoral Research Fellow with Arizona State University, USA. From April 2014 to Aug. 2016, he was a Humboldt Scholar Fellow with Institute of Computer Science of University of Goettingen, Germany.
Dr. Chen has published over 300 scientific papers in leading international conferences and journals, many of which appear in top-tier conferences such as MOBICOM, MOBIHOC, and INFOCOM and top-tier journals such as IEEE TON, JSAC, and TMC. His research results have been highly visible, with multiple publications being selected as 1‰ ESI Hot Papers by Web of Science. For his high-quality research works, Dr. Chen received the prestigious Humboldt research fellowship awarded by Alexander von Humboldt Foundation, 2014 Hong Kong Young Scientist Runner-up Award, 2022 IEEE Communications Society Asia Pacific Outstanding Paper Award, 2022 IEEE Internet of Things Journal Best Paper Runner-Up Award, 2022 IEEE Computer Society Best Paper Awards Runner-up , 2017 IEEE Communication Society Asia-Pacific Outstanding Young Researcher Award, 2017 IEEE ComSoc Young Professional Best Paper Award, Best Paper Runner-up Award of 2014 IEEE International Conference on Computer Communications (INFOCOM), and Best Paper Award of 2017 IEEE International Conference on Communications (ICC).
Dr. Chen is an IEEE ComSoc Distinguished Lecturer, and serves as an area editor for IEEE Open Journal of the Communications Society, and associate editors for IEEE Transactions on Mobile Computing, IEEE Transactions on Wireless Communications, IEEE Transactions on Vehicular Technology, IEEE Internet of Things Journal, and IEEE Journal on Selected Areas in Communications (JSAC) Series on Network Softwarization and Enablers. He also serves as TPC members for a series of top tier conferences including MOBIHOC and INFOCOM.
Edge and Cloud Computing, Edge Intelligence, Edge Foundation AI Model, Federated Learning
AI for Networking, Networking for AI, AIoT, Game Theory, Dynamic Optimization
Associate Editor, IEEE Transactions on Mobile Computing (TMC), , 2024 – Present
Associate Editor, IEEE Transactions on Vehicular Technology (TVT), 2021 – Present
Area Editor, IEEE Open Journal of the Communications Society (IEEE OJ-COM), 2019 – 2024
Associate Editor, IEEE Transactions on Wireless Communications (TWC), 2019 – 2024
Associate Editor, IEEE Internet of Things Journal (IoTJ), 2018 – 2024
Editor, IEEE Journal on Selected Areas in Communications (JSAC), Series on Network Softwarization and Enablers, 2018 –2021
Associate Editor, IEEE Access Journal, 2017 -- 2020
Associate Editor, EURASIP Journal on Wireless Communications and Networking, 2014 -- 2017
Section Editor, Springer Handbook of Cognitive Radio (Section Book on Cognitive Radio Resource Management), 2016 - 2018
Editorial Board Member, Frontiers of Information Technology & Electronic Engineering, Since 2016
Highly Cited Researcher awarded by Clarivate Analytics, 2024
IEEE ComSoc Distinguished Lecturer, 2023
Best Paper Award Finalist of IEEE/ACM International Symposium on Quality of Service (IWQoS), 2023
Best Paper Award Nomination of IEEE Wireless Communications and Networking Conference (WCNC), 2023
IEEE Communications Society Asia Pacific Outstanding Paper Award, 2022
This award honors outstanding original papers authored by members in the Asia Pacific region and published in IEEE ComSoc journals and conferences over the last three years
IEEE Internet of Things Journal Best Paper Runner-Up Award, 2022
This award recognizes the best papers published in the IEEE IoT Journal during the previous three years
IEEE Computer Society's Best Paper Awards Runner-up, 2022
This award honors the best publications in IEEE Computer Society Journals during the year of 2020
ELSEVIER Highly-Cited Researchers in China, 2022-2023
Best Computer Science Scientists and Best Rising Stars of Science Recognized by Research.com, 2022
IEEE OJ-COMS Editor Award, 2021
World's Top 2% Scientists by Stanford University, in both Career-Long and Single Year Categories, 2020-2023
IEEE Communication Society Asia-Pacific Outstanding Young Researcher Award, 2017
IEEE ComSoc Young Professional Best Paper Award, 2017
Best Paper Award in IEEE International Conference on Communications (ICC), 2017
2014 Hong Kong Young Scientist Award Runner-Up in the Physical/Mathematical Science.
Best Paper Runner-up Award in IEEE International Conference on Computer Communications (INFOCOM), 2014.
Humboldt Research Fellowship (洪堡学者) awarded by Alexander von Humboldt-Foundation, Germany, 2014-2016
Honorable Mention Award (the first runner-up of the best paper award) in IEEE international conference on Intelligence and Security Informatics,2010
[BOOK] Sen Lin, Zhi Zhou, Zhaofeng Zhang, Xu Chen, and Junshan Zhang, Edge Intelligence in the Making: Optimization, Deep Learning, and Applications, Morgan & Claypool Publishers, 2020.
[BOOK] Yang Yang, Xu Chen, Yong Xiao, and Rui Tang, Intelligent IoT for the Digital World, Wiley, 2021.
[BOOK] X. Wang, Y. Han, V. C. M. Leung, D. Niyato, X. Yan, and Xu Chen, Edge AI - Convergence of Edge Computing and Artificial Intelligence, Springer, 2020.
[PIEEE] Zhi Zhou, Xu Chen*, En Li, Liekang Zeng, Ke Luo, and Junshan Zhang,“Edge Intelligence: Paving the Last Mile of Artificial Intelligence with Edge Computing,” Proceedings of the IEEE, May 2019. (>1500 citations)
[COMST] Xiaofei Wang, Yiwen Han, Victor C.M. Leung, Dusit Niyato, Xueqiang Yan, and Xu Chen,“Convergence of Edge Computing and Deep Learning: A Comprehensive Survey,” IEEE Communications Surveys and Tutorials, Jan. 2020. (>800 citations)
[TON] X. Chen, L. Jiao, W. Li and X. Fu, “Efficient Multi-User Computation Offloading for Mobile-Edge Cloud Computing,” IEEE/ACM Transactions on Networking, Vol. 24, No. 5, pp. 2795 - 2808, Oct. 2016. (>2500 citations)
[TON] Zhicheng Luo, Qianyi Huang, Xu Chen, RuiWang, FanWu, Guihai Chen, and Qian Zhang, “Spectrum Sensing Everywhere: Wide-band Spectrum Sensing with Low-Cost UWB Nodes,” accepted by IEEE/ACMTransactions on Networking (ToN), Nov. 2023.
[TON] Liekang Zeng, Haowei Chen, Daipeng Feng, Xiaoxi Zhang, and Xu Chen*, “A3D: Adaptive, Accurate, and Autonomous Navigation for Edge-Assisted Drones,” accepted by IEEE/ACM Transactions on Networking (ToN), July 2023.
[TON] Liekang Zeng, Xu Chen*, Peng Huang, Ke Luo, Xiaoxi Zhang, Zhi Zhou, “Serving Graph Neural Networks with Distributed Fog Servers for Smart IoT Services,” accepted by IEEE/ACM Transactions on Networking, June 2023.
[TON] Xuezheng Liu, Zirui Yan, Yipeng Zhou, Di Wu, Xu Chen, Hui Wang, “Optimizing Parameter Mixing under Constrained Communications in Parallel Federated Learning,” accepted by IEEE/ACM Transactions on Networking (ToN), March 2023.
[TON] Guocheng Liao, Xu Chen, and Jianwei Huang, “Privacy Protection under Incomplete Social and Data Correlation Information,” accepted by IEEE/ACM Transactions on Networking (ToN), Jan. 2023.
[TON] Xuezheng Liu, Zhicong Zhong, Yipeng Zhou, Di Wu, Xu Chen, Min Chen, and Quan Z. Sheng, “Accelerating Federated Learning via Parallel Servers: A Theoretically Guaranteed Approach,” accepted by IEEE/ACM Transactions on Networking (ToN), March 2022.
[TON] QiongWu, Kaiwen He, Xu Chen*, Shuai Yu, and Junshan Zhang, “Deep Transfer Learning Across Cities for Mobile Traffic Prediction,” accepted by IEEE/ACM Transactions on Networking, Dec. 2021.
[TON] Guocheng Liao, Xu Chen, and Jianwei Huang, “Privacy-Aware Online Social Networking with Targeted Advertisement,” accepted by IEEE/ACM Transactions on Networking (ToN), Dec. 2021.
[TON] Qiong Wu, Xu Chen*, Zhi Zhou, Lian Chen, and Junshan Zhang, “Deep Reinforcement Learning with Spatio-temporal Traffic Forecasting for Data-Driven Base Station Sleep Control,” accepted by IEEE/ACM Transactions on Networking (ToN), Jan. 2021.
[TON] Liekang Zeng, Xu Chen*, Lei Yang, Zhi Zhou, and Junshan Zhang, “CoEdge: Cooperative DNN Inference with AdaptiveWorkload Partitioning over Heterogeneous Edge Devices,”accepted by IEEE/ACM Transactions on Networking (ToN), Nov. 2020.
[TON] Guocheng Liao, Xu Chen, and Jianwei Huang, “Social-Aware Privacy-Preserving Mechanism for Correlated Data,” accepted by IEEE/ACM Transactions on Networking, April 2020.
[TON] Guocheng Liao, Xu Chen, and Jianwei Huang, “Prospect Theoretic Analysis of Privacy-Preserving Mechanism,” accepted by IEEE/ACMTransactions on Networking, Oct. 2019.
[TON] X. Gong, X. Chen*, K. Xing, D. Shin, M. Zhang, and J. Zhang, “From Social Group Utility Maximization to Personalized Location Privacy in Mobile Networks,” accepted by IEEE/ACM Transactions on Networking, Dec. 2016.
[TON] X. Chen, X. Gong, L. Yang and J. Zhang, “Exploiting Social Tie Structure for Cooperative Wireless Networking: A Social Group Utility Maximization Framework,” IEEE/ACM Transactions on Networking , Vol. 24, No. 6, Dec. 2016.
[TON] X. Chen, X. Gong, L. Yang and J. Zhang, “Amazon in the White Space: Social Recommendation Aided Distributed Spectrum Access,” accepted by IEEE/ACM Transactions on Networking , March 2016.
[TON] X. Chen, B. Proulx, X. Gong and J. Zhang, “Exploiting Social Ties for Cooperative D2D Communications: A Mobile Social Networking Case,” IEEE/ACM Transactions on Networking, Vol. 23, No. 5, pp. 1471-1484, Oct. 2015.(>220 citations)
[TON] C. Wu, X. Chen, W. Zhu, and Y. Zhang, “Socially-Driven Learning-Based Prefetching in Mobile Online Social Networks,”accepted by IEEE/ACM Transactions on Networking, March 2017.
[JSAC] Xiaoxi Zhang, Jinhang Zuo, Zhe Huang, Zhi Zhou, Xu Chen, and Carlee Joe-Wong, “Learning with Side Information: Elastic Multi-resource Control for the Open RAN,” accepted by IEEE Journal on Selected Areas in Communications (JSAC), Sept. 2023.
[JSAC] Liekang Zeng, Chongyu Yang, Peng Huang, Zhi Zhou, Shuai Yu, and Xu Chen*, “GNN at the Edge: Cost-Effificient Graph Neural Network Processing over Distributed Edge Servers,”accepted by IEEE Journal on Selected Areas in Communications (JSAC), Oct. 2022.
[JSAC] Canhui Chen, Xu Chen, and Zhixuan Fang, “TIPS: Transaction Inclusion Protocol with Signaling in DAG-Based Blockchain ,” accepted by IEEE Journal on Selected Areas in Communications (JSAC), July 2022.
[JSAC] Lingjun Pu, Xinjing Yuan, Xiaohang Xu, Xu Chen*, Pan Zhou, and Jingdong Xu, “Cost-efficient and Skew-aware Data Scheduling for Incremental Learning in 5G Networks,” accepted by IEEE Journal on Selected Areas in Communications (JSAC), Aug. 2021.
[JSAC] Qiong Wu, Muhong Wu, Xu Chen*, Zhi Zhou, Kaiwen He, and Liang Chen, “DeepCP: Deep Learning Driven Cascade Prediction Based Autonomous Content Placement in Closed Social Network,” accepted by IEEE Journal on Selected Areas in Communications (JSAC), March 2020.
[JSAC] Jieli Yin, Tong Xia, Yong Li, Xiang Chen, Zhi Zhou, and Xu Chen, “Mobile App Usage Patterns Aware Smart Data Pricing,” accepted by IEEE Journal on Selected Areas in Communications, Jan. 2020.
[JSAC] Zhi Zhou, Qiong Wu, and Xu Chen*, “Online Orchestration of Cross-Edge Service Function Chaining for Cost-Efficient Edge Computing,” accepted by IEEE Journal on Selected Areas in Communications, June 2019.
[JSAC] Xinlei Chen, Yulei Zhao, Yong Li, X. Chen, Ning Ge, Sheng Chen,“Social Trust Aided D2D Communications: Performance Bound and Implementation Mechanism,” accepted by IEEE Journal on Selected Areas in Communications, Jan. 2018.
[JSAC] Lingjun Pu, Lei Jiao, X. Chen*, Lin Wang, and Jingdong Xu,“Online Resource Allocation, Content Placement and Request Routing for Cost-efficient Edge Caching in Cloud Radio Access Networks,” accepted by IEEE Journal on Selected Areas in Communications, May 2018.
[JSAC] Tao Ouyang, Zhi Zhou, and X. Chen*,“Follow Me at the Edge: Mobility-Aware Dynamic Service Placement for Mobile Edge Computing,” accepted by IEEE Journal on Selected Areas in Communications, Aug. 2018. (>350 citations)
[JSAC] X. Chen and J. Huang, “Database-assisted Distributed Spectrum Sharing,” IEEE Journal on Selected Areas in Communications, Vol. 31, No. 11, pp. 2349–2361, Nov. 2013.
[JSAC] X. Chen and J. Huang, “Distributed Spectrum Access with Spatial Reuse,” IEEE Journal on Selected Areas in Communications , Vol. 31, No. 3, pp. 593–603, March 2013.
[JSAC] X. Chen and J. Huang, “Spatial Spectrum Access Game,” IEEE Transactions on Mobile Computing, Vol. 14, No. 3, pp. 646 – 659, March 2015.
[JSAC] R. Southwell, X. Chen* and J. Huang, “Quality of Service Games for Spectrum Sharing,” IEEE Journal on Selected Areas in Communications, Vol. 32, No. 3, pp. 589–600, March 2014.
[JSAC] L. Pu, X. Chen*, J. Xu, X. Fu, “Crowd Foraging: A QoS-oriented Self-organized Mobile Crowdsourcing Framework over Opportunistic Networks,” accepted by IEEE Journal on Selected Areas in Communications, Jan. 2017.
[JSAC] L. Pu, X. Chen*, J. Xu, X. Fu, “D2D Fogging: An Energy-efficient and Incentive-aware Task Offloading Framework via Network-assisted D2D Collaboration,” IEEE Journal on Selected Areas in Communications , Vol. 34, No. 12, pp. 3887 – 3901, Dec. 2016. (>240 citations)
[JSAC] X. Gong, L. Duan, X. Chen*, J. Zhang, “When Social Network Effect Meets Congestion Effect in Wireless Networks: Data Usage Equilibrium and Optimal Pricing,” accepted by IEEE Journal on Selected Areas in Communications, Nov. 2016.
[TMC] Weijie Liu, Xiaoxi Zhang, Jingpu Duan, Carlee Joe-Wong, Zhi Zhou and Xu Chen, “DYNAMITE: Dynamic Interplay of Mini-Batch Size and Aggregation Frequency for Federated Learning with Static and Streaming Dataset,” accepted by IEEE Transactions on Mobile Computing (TMC), Nov. 2023.
[TMC] Jingyi Li, Guocheng Liao, Lin Chen*, and Xu Chen*, “Roulette: A Semantic Privacy-Preserving Device-Edge Collaborative Inference Framework for Deep Learning Classification Tasks,” accepted by IEEE Transactions on Mobile Computing (TMC), Aug. 2023.
[TMC] Zhiying Feng, Xu Chen*, Qiong Wu, WenWu, Xiaoxi Zhang, and Qianyi Huang, “FedDD: Toward Communication-efficient Federated Learning with Differential Parameter Dropout,” accepted by IEEE Transactions on Mobile Computing (TMC), Aug. 2023.
[TMC] Zhiwei Zhai, QiongWu, Shuai Yu, Fei Zhang, and Xu Chen*, “FedLEO: An Offloading-Assisted Decentralized Federated Learning Framework for Low Earth Orbit Satellite Networks,” accepted by IEEE Transactions on Mobile Computing (TMC), Aug. 2023.
[TMC] Lingjun Pu, Jianxin Shi, Xinjing Yuan, Xu Chen, Lei Jiao, Tian Zhang and Jingdong Xu, “EMS: Erasure-coded Multi-source Streaming for UHD Videos within Cloud Native 5G Networks,”accepted by IEEE Transactions on Mobile Computing (TMC), Jan. 2023.
[TMC] Ziya Chen, Qian Ma, Lin Gao, and Xu Chen, “Price Competition in Multi-Server Edge Computing Networks under SAA and SIQ Models,” accepted by IEEE Transactions on Mobile Computing (TMC), Dec. 2022.
[TMC] Miao Hu,Wenzhuo Yang, Zhenxiao Luo, Xuezheng Liu, Yipeng Zhou, Xu Chen, and Di Wu, “AutoFL: A Bayesian Game Approach for Autonomous Client Participation in Federated Edge Learning,” accepted by IEEE Transactions on Mobile Computing (TMC), Nov. 2022.
[TMC] Zhicheng Liu, Jinduo Song, Chao Qiu, Xiaofei Wang, Xu Chen, and Qiang He, “Hastening Stream Offlfloading of Inference via Multi-exit DNNs in Mobile Edge Computing,” accepted by IEEE Transactions on Mobile Computing (TMC), Oct. 2022.
[TMC] Guangjing Huang, Xu Chen*, Ouyang Tao, Qian Ma, Lin Chen, and Junshan Zhang, “Collaboration in Participant-Centric Federated Learning: A Game-Theoretical Perspective,”accepted by IEEE Transactions on Mobile Computing (TMC), July 2022.
[TMC] Yange Zhaokong, Zhi Zhou, Xu Chen, Ruiting Zhou, Xiaoxi Zhang, Shuai Yu, and Di Wu “EdgeAdaptor: Online Configuration Adaption, Model Selection and Resource Provisioning for Edge DNN Inference Serving at Scale,” accepted by IEEE Transactions on Mobile Computing (TMC), June 2022.
[TMC] Ning Zhang, Qian Ma, Xu Chen, “Enabling Long-Term Cooperation in Cross-Silo Federated Learning: A Repeated Game Perspective,” accepted by IEEE Transactions on Mobile Computing (TMC), Jan. 2022.
[TMC] Hongzheng Yu, Zekai Chen, Xiao Zhang, Xu Chen, Fuzhen Zhuang, Hui Xiong, and Xiuzheng Cheng, “FedHAR: Semi-Supervised Online Learning for Personalized Federated Human Activity Recognition,” accepted by IEEE Transactions on Mobile Computing (TMC), Dec. 2021.
[TMC] Song Yang, Fan Li, Zhi Zhou, Xu Chen, Yu Wang, and Xiaoming Fu, “Online Control ofService Function Chainings Across Geo-Distributed Datacenters,” accepted by IEEE Transactions on Mobile Computing (TMC), Dec. 2021.
[TMC] Yuxi Zhao, Xiaowen Gong, Fuhong Lin, and Xu Chen, “Data Poisoning Attacks and Defenses in Dynamic Crowdsourcing with Online Data Quality Learning,” accepted by IEEE Transactions on Mobile Computing, Dec. 2021.
[TMC] Ouyang Tao, Xu Chen*, Zhi Zhou, and Xin Tang, “Adaptive User-managed Service Placement for Mobile Edge Computing via Contextual Multi-armed Bandit Learning,” accepted by IEEE Transactions on Mobile Computing (TMC), Aug. 2021.
[TMC] Qiong Wu, Xu Chen*, Zhi Zhou, and Junshan Zhang, “FedHome: Cloud-Edge based Personalized Federated Learning for In-Home Health Monitoring,” accepted by IEEE Transactions on Mobile Computing (TMC), Dec. 2020.
[TMC] Yuxi Zhao, Xiaowen Gong, and Xu Chen, “Privacy-Preserving Incentive Mechanisms for Truthful Data Quality in Data Crowdsourcing,” accepted by IEEE Transactions on Mobile Computing, Nov. 2020.
[TMC] Kaiwen He, Xu Chen*, Qiong Wu, Shuai Yu, and Zhi Zhou, “Graph Attention Spatial-Temporal Network with Collaborative Global-Local Learning for Citywide Mobile Traffic Prediction,” accepted by IEEE Transactions on Mobile Computing, Aug. 2020.
[TMC] Shuai Yu, Xu Chen*, Shuai Wang, Lingjun Pu, and Di Wu, “An Edge Computing-based Photo Crowdsourcing Framework for Real-time 3D Reconstruction,” accepted by IEEE Transactions on Mobile Computing, June 2020.
[TMC] Song Yang, Fan Li, Stojan Trajanovski, Xu Chen, Yu Wang, and Xiaoming Fu, “Delay-AwareVirtual Network Function Placement and Routing in Edge Clouds,” accepted by IEEE Transactions on Mobile Computing, Sept. 2019.
[TMC] X. Chen and J. Huang, “Spatial Spectrum Access Game,” IEEE Transactions on Mobile Computing, Vol. 14, No. 3, pp. 646 – 659, March 2015.
[TMC] X. Chen and J. Huang, “Imitation-based Social Spectrum Sharing,” IEEE Transactions on Mobile Computing, Vol. 14, No. 6, pp. 1189 - 1202, June 2015.
[TMC] X. Chen and J. Huang, “Evolutionarily Stable Spectrum Access,” IEEE Transactions on Mobile Computing, Vol. 12, No. 7, pp. 1281–1293, July 2013.
[TMC] X. Chen, J. Huang, and H. Li, “Adaptive Channel Recommendation for Opportunistic Spectrum Access,” IEEE Transactions on Mobile Computing, Vol. 12, No. 9, pp.1788–1800, Sept. 2013.
[TMC] Y. Cao, T. Jiang, X. Chen, and J. Zhang, “Social-Aware Video Multicast Based on Device-to-Device Communications,” IEEE Transactions on Mobile Computing , Vol. 15, No. 6, pp.1528-1539, June 2016.
[TPDS] X. Chen, "Decentralized Computation Offloading for Mobile Cloud Computing,” IEEE Transactions on Parallel and Distributed Systems, Vol. 26, No. 4, pp. 974–983, April 2015.(>900 citations)
[TPDS] Yihong Li, Xiaoxi Zhang, Tianyu Zeng, Jingpu Duan, Chuan Wu, DiWu, and Xu Chen, “Task Placement and Resource Allocation for Edge Machine Learning: A GNN-based Multi-Agent Reinforcement Learning Paradigm,” accepted by IEEE Transactions on Parallel and Distributed Systems (TPDS), Sept. 2023.
[TPDS] Qiong Wu, Xu Chen*, Tao Ouyang, Zhi Zhou, Xiaoxi Zhang, Shusen Yang, and Junshan Zhang, “HiFlash: Communication-Effificient Hierarchical Federated Learning with Adaptive Staleness Control and Heterogeneity-aware Client-Edge Association,” accepted by IEEE Transactions on Parallel and Distributed Systems (TPDS), Jan. 2023.
[TPDS] Rui Li, Zhi Zhou, Xiaoxi Zhang, and Xu Chen*, “Joint Application Placement and Request Routing Optimization for Dynamic Edge Computing Service Management,” accepted by IEEE Transactions on Parallel and Distributed Systems (TPDS), Jan. 2022.
[TPDS] Miao Hu, Zixuan Xie Di Wu, Yipeng Zhou, Xu Chen, and Liang Xiao, “Heterogeneous Edge Offloading with Incomplete Information: A Minority Game Approach,” accepted by IEEE Transactions on Parallel and Distributed Systems, April 2020
[TPDS] Miao Hu, Di Wu, Yipeng Zhou, Xu Chen, and Min Chen, “Incentive-Aware Autonomous Client Participation in Federated Learning,” accepted by IEEE Transactions on Parallel and Distributed Systems (TPDS), Jan. 2022.
[TPDS] Miao Hu, Lei Zhuang, Di Wu, Yipeng Zhou, Xu Chen, and Liang Xiao，“Learning Driven Computation Offloading for Asymmetrically Informed Edge Computing,” accepted by IEEE Transactions on Parallel and Distributed Systems, Jan. 2019.
[TWC] Qingze Fang, Zhiwei Zhai, Shuai Yu, Qiong Wu, Xiaowen Gong, and Xu Chen*, “Olive Branch Learning: A Topology-Aware Federated Learning Framework for Space-Air-Ground Integrated Network,” accepted by IEEE Transactions on Wireless Communications (TWC), Nov. 2022.
[TWC] Hongbin Zhu, Yong Zhou, Hua Qian, Yuanming Shi, Xu Chen, and Yang Yang, “Online Client Selection for Asynchronous Federated Learning with Fairness Consideration,” accepted by IEEE Transactions on Wireless Communications (TWC), Sept. 2022.
[TWC] Yinan Zou, ZixinWang, Xu Chen, Haibo Zhou, and Yong Zhou “Knowledge-Guided Learning for Transceiver Design in Over-the-Air Federated Learning,” accepted by IEEE Transactions on Wireless Communications (TWC), July 2022.
[TWC] Huirong Ma, Zhi Zhou, and Xu Chen*, “Leveraging the Power of Prediction: Predictive Service Placement for Latency-Sensitive Mobile Edge Computing,” accepted by IEEE Transactions on Wireless Communications, June 2020.
[TWC] En Li, Liekang Zeng, Zhi Zhou, and Xu Chen*, “Edge AI: On-Demand Accelerating Deep Neural Network Inference via Edge Computing,” accepted by IEEE Transactions on Wireless Communications, Sept. 2019 (>390 citations)
[TWC] Siqi Luo, Xu Chen*, Qiong Wu, Zhi Zhou, and Shuai Yu, “HFEL: Joint Edge Association and Resource Allocation for Cost-Efficient Hierarchical Federated Edge Learning,” accepted by IEEE Transactions on Wireless Communications, June 2020.
[TWC] Siqi Luo, Xu Chen*, Zhi Zhou, Xiang Chen, and Weigang Wu “Incentive-Aware Micro Computing Cluster Formation for Cooperative Fog Computing,” accepted by IEEE Transactions on Wireless Communications, Jan. 2020.
[MOBICOM] Shengyuan Ye, Liekang Zeng, Xiaowen Chu, Guoliang Xing, and Xu Chen*, “Asteroid: Resource-Efficient Hybrid Pipeline Parallelism for Collaborative DNN Training on Heterogeneous Edge Devices,” ACM Annual International Conference On Mobile Computing And Networking (MobiCom), Washington, USA, 30 Sept. - 4 Oct., 2024.
[MOBICOM] Hao Bao, Zhi Zhou, Jiajie Xie, Qianyi Huang, Fei Xu, and Xu Chen, “COUPLE: Accelerating Video Analytics on Heterogeneous Mobile Processors,” ACM Annual International Conference On Mobile Computing And Networking (MobiCom), Madrid, Spain, Oct. 2-6, 2023.
[MOBIHOC] Canhui Chen, Qian Ma, Xu Chen*, and Jianwei Huang, “User Distributions in Shard-based Blockchain Network: Queueing Modeling, Game Analysis, and Protocol Design,” ACM International Symposium on Mobile Ad Hoc Networking and Computing, Shanghai, China, 26-30 July, 2021.
[MOBIHOC] Zhi Zhou, Xu Chen*,WeigangWu, DiWu, and Junshan Zhang, “Predictive Online Server Provisioning for Cost-Efficient IoT Data Streaming Across Collaborative Edges,” ACM International Symposium on Mobile Ad Hoc Networking and Computing, Catania, Italy, 2-5 July, 2019.
[MOBIHOC] Lei Jiao, Ruiting Zhou, Xiaojun Lin, and Xu Chen, “Online Scheduling of Traffic Diversion and Cloud Scrubbing with Competitive Online Learning,” ACM International Symposium on Mobile Ad Hoc Networking and Computing, Catania, Italy, 2-5 July, 2019.
[MOBIHOC] X. Chen and J. Huang, “Spatial Spectrum Access Game: Nash Equilibria and Distributed Learning,” ACM International Symposium on Mobile Ad Hoc Networking and Computing, Hilton Head Island, South Carolina, USA, June, 2012.
[MOBIHOC] X. Chen, B. Proulx, X. Gong and J. Zhang, “Social Trust and Social Reciprocity Based Cooperative D2D Communications,” ACM International Symposium on Mobile Ad Hoc Networking and Computing, Bangalore, India, 29 July – 01 August, 2013.
[MOBIHOC] X. Gong, L. Duan, and X. Chen*, “When network effect meets congestion effect: Leveraging social services for wireless service,” ACMInternational Symposium on Mobile Ad Hoc Networking and Computing, Hangzhou, China, June 22–25, 2015.
[MOBIHOC] Guocheng Liao, Xu Chen, and Jianwei Huang, “Social-Aware Privacy-Preserving Correlated Data Collection，”ACMInternational Symposium on Mobile Ad Hoc Networking and Computing, Los Angeles, United States, June 26–29, 2018.
[INFOCOM] Shengyuan Ye, Jiangsu Du, Liekang Zeng,Wenzhong Ou, Xiaowen Chu, Yutong Lu, and Xu Chen*, “Galaxy: A Resource-Efficient Collaborative Edge AI System for In-situ Transformer Inference,” IEEE International Conference on Computer Communications (INFOCOM), Vancouver, Canada, 20-23 May 2024.
[INFOCOM] Zhiwei Zhai, Liekang Zeng, Tao Ouyang, Shuai Yu, Qianyi Huang, and Xu Chen*, “SECO: Multi-Satellite Edge Computing EnabledWide-Area and Real-Time Earth Observation Missions,” IEEE International Conference on Computer Communications (INFOCOM), Vancouver, Canada, 20-23 May 2024.
[INFOCOM] Xiaoxi Zhang, Haoran Xu, Longhao Zou, Jingpu Duan, Chuan Wu, Yali Xue, Zuozhou Chen, and Xu Chen*, “Rosevin: Employing Resource- and Rate-Adaptive Edge Super-Resolution for Video Streaming,” IEEE International Conference on Computer Communications (INFOCOM), Vancouver, Canada, 20-23 May 2024.
[INFOCOM] Tao Ouyang, Kongyange Zhao, Xiaoxi Zhang, Zhi Zhou, and Xu Chen*, “Dynamic Edge-centric Resource Provisioning for Online and Offlfline Services Co-location,” IEEE International Conference on Computer Communications (INFOCOM), New York area, U.S., 17-20 May 2023.
[INFOCOM] Peng Sun, Xu Chen, Guocheng Liao, and Jianwei Huang, “A Profifit-Maximizing Model Marketplace with Differentially Private Federated Learning,” IEEE International Conference on Computer Communications (INFOCOM), Virtual Conference, 2-5 May, 2022.
[INFOCOM] Zhicong Zhong, Yipeng Zhou, Di Wu, Xu Chen, Min Chen, Chao Li, and Quan Z. Sheng, “P-FedAvg: Parallelizing Federated Learning with Theoretical Guarantees,” IEEE International Conference on Computer Communications (INFOCOM), Virtual Conference, 10-13 May 2021.
[INFOCOM] Guocheng Liao, Xu Chen, and Jianwei Huang, “Privacy Policy in Online Social Network with Targeted Advertising Business,” IEEE International Conference on Computer Communications, Beijing, China, 27–30 April 2020.
[INFOCOM] Tao Ouyang, Rui Li, Xu Chen*, Zhi Zhou, and Xin Tang, “Adaptive User-managed Service Placement for Mobile Edge Computing: An Online Learning Approach,” IEEE International Conference on Computer Communications, Paris, France, 29 April-2 May 2019.
[INFOCOM] X. Chen, X. Gong, L. Yang and J. Zhang, “A Social Group Utility Maximization Framework with Applications in Database Assisted Spectrum Access,” IEEE International Conference on Computer Communications, Toronto, Canada, 27 April – 02 May 2014.
[INFOCOM] L. Pu, X. Chen, J. Xu, and X. Fu, “Crowdlet: Optimal Worker Recruitment for Self-Organized Mobile Crowdsourcing,” IEEE International Conference on Computer Communications, San Francisco, USA, 10-15 April 2016.
[INFOCOM] C. Wu, X. Chen, Y. Zhou, N. Li, X. Fu, and Y. Zhang, “Spice: Socially-Driven Learning-Based Mobile Media Prefetching,” IEEE International Conference on Computer Communications, San Francisco, USA, 10-15 April 2016.
[INFOCOM] X. Gong, X. Chen, K. Xing, D. Shin, M. Zhang, and J. Zhang, “Personalized Location Privacy in Mobile Networks: A Social Group Utility Approach”, IEEE International Conference on Computer Communications, Hong Kong, 26 April – 01 May 2015.
[INFOCOM] Y. Cao, X. Chen, J. Zhang, and T. Jiang, “SoCast: Social Ties Based Cooperative Video Multicast,” IEEE International Conference on Computer Communications, Toronto, Canada, 27 April – 02 May 2014.
[INFOCOM] L. Yang, X. Chen, J. Zhang, and H.V. Poor, “Optimal Privacy-Preserving Energy Management for Smart Meters,” IEEE International Conference on Computer Communications, Toronto, Canada, 27 April – 02 May 2014.
[INFOCOM] J. Sun, X. Chen, J. Zhang, Y. Zhang, and J. Zhang, “SYNERGY: A Game-Theoretical Approach for Cooperative Key Generation in Wireless Networks,” IEEE International Conference on Computer Communications, Toronto, Canada, 27 April – 02 May 2014.
[INFOCOM] R. Southwell, X. Chen and J. Huang, “QoS Satisfaction Games for Spectrum Sharing,” IEEE International Conference on Computer Communications, Turin, Italy, April, 2013.
[INFOCOM] C. Wu, Y. Zhang, L. Zhang, B. Yang, X. Chen, W. Zhu, and L. Qiu. “ButterFly: Mobile Collaborative Rendering over GPUWorkload Migration ,” IEEE International Conference on Computer Communications, Atlanta, GA, USA, 1-4 May 2017.
[WWW] Liekang Zeng, Peng Huang, Ke Luo, Xiaoxi Zhang, Zhi Zhou, and Xu Chen*, “Fograph: Enabling Real-Time Deep Graph Inference with Fog Computing,” The ACM Web Conference (WWW), Online, 25-29 April, 2022.
[RTSS] Tao Ouyang, Xu Chen*, Liekang Zeng, and Zhi Zhou, “Cost-Aware Edge Resource Probing for Infrastructure-Free Edge Computing: From Optimal Stopping to Layered Learning,” The IEEE Real-Time Systems Symposium, Hong Kong, China, 3-6 Dec. 2019.
[ICDCS] Haowei Chen, Liekang Zeng, Xiaoxi Zhang, and Xu Chen*, “AdaDrone: Quality of Navigation Based Neural Adaptive Scheduling for Edge-Assisted Drones,” IEEE International Conference on Distributed Computing Systems (ICDCS), Bologna, Italy, 10-13 July, 2022.
[ICDCS] Siqi Luo, Xu Chen*, and Zhi Zhou “F3C: Fog-enabled Joint Computation, Communication and Caching Resource Sharing for Energy-Efficient IoT Data Stream Processing,” IEEE International Conference on Distributed Computing Systems, Dallas, Texas, USA, 7-10 July, 2019.
[ICDCS] X. Chen and J. Huang, “Game Theoretic Analysis of Distributed Spectrum Sharing with Database,” IEEE International Conference on Distributed Computing Systems , Macau, China, June, 2012.
[ICDCS] Shuomiao Su, Zhi Zhou, Tao Ouyang, Ruiting Zhou, and Xu Chen, “Learning to Be Green: Carbon-Aware Online Control for Edge Intelligence with Colocated Learning and Inference,”IEEE International Conference on Distributed Computing Systems (ICDCS), Hong Kong, China, 18-21 July, 2023.
[ICDCS] Jiajie Xie, Zhi Zhou, Tao Ouyang, Xiaoxi Zhang, and Xu Chen, “Fair DNN Model Selection in Edge AI via A Cooperative Game Approach,” IEEE International Conference on Distributed Computing Systems (ICDCS), Hong Kong, China, 18-21 July, 2023.
[ICPP] Shengyuan Ye, Liekang Zeng, QiongWu, Ke Luo, Qingze Fang, and Xu Chen*, “Eco-FL: Adaptive Federated Learning with Efficient Edge Collaborative Pipeline Training,”International Conference on Parallel Processing (ICPP), Bordeaux, France, Aug. 29 – Sept. 1, 2022.
[IWQoS] Tao Ouyang, Zhi Zhou, Xu Chen*. “Follow Me at the Edge: Mobility-aware Dynamic Service Placement for Mobile Edge Computing,” IEEE/ACMInternational Symposium on Quality of Service, Banff, Alberta, Canada, 4-6 June 2018.
[IWQoS] Li Li, Jun Wang, Xu Chen, and Chengzhong Xu. “Multi-layer Coordination for High-Performance Energy-Efficient Federated Learning,” IEEE/ACM International Symposium on Quality of Service, Hangzhou, China, 4-6 June 2020
[IWQoS] Jingyi Li, Guangjing Huang, Liekang Zeng, Lin Chen*, and Xu Chen*, “Chained-DP: Can We Recycle Privacy Budget?,” IEEE/ACMInternational Symposium on Quality of Service (IWQoS), Orlando, FL, USA, 1921 June, 2023.
[IWQoS] Weijie Liu, Xiaoxi Zhang, Jingpu Duan, Carlee Joe-Wong, Zhi Zhou, and Xu Chen, “AdaCoOpt: Leverage the Interplay of Batch Size and Aggregation Frequency for Federated Learning,” IEEE/ACMInternational Symposium on Quality of Service (IWQoS), Orlando, FL, USA, 1921 June, 2023.
[IWQoS] Tianxiang Zhu, Xiaoxi Zhang, Jingpu Duan, Zhi Zhou, and Xu Chen, “A Budget-aware Incentive Mechanism for Vehicle-to-Grid via Reinforcement Learning,” IEEE/ACM International Symposium on Quality of Service (IWQoS), Orlando, FL, USA, 1921 June, 2023.
[SECON] Kongyange Zhao, Zhi Zhou, Tao Ouyang, Mingliao Zhao, Hao Wang, and Xu Chen, “QoS-aware Resource Optimization for Hierarchical Cross-Edge Video Analytics,” IEEE International Conference on Sensing, Communication, and Networking (SECON), Madrid, Spain, 11–14 September 2023.
[SECON] Shaohui Lin, Xiaoxi Zhang, Yupeng Li, Carlee Joe-Wong, Jingpu Duan, and Xu Chen, “EdgeC3: Online Management for Edge-Cloud Collaborative Continuous Learning,” IEEE International Conference on Sensing, Communication, and Networking (SECON), Madrid, Spain, 11–14 September 2023.
[ACM MM] C. Wu, J. Jia, W. Zhu, X. Chen, B. Yang, and Y. Zhang. “Affective Contextual Mobile Recommender System,” ACM Multimedia Conference, Amsterdam, The Netherlands, October 15-19, 2016.
[Ubicomp] Xiao Zhang,Wenzhong Li, Xu Chen, and Sanglu Lu. “MoodExplorer: Towards Compound Emotion Detection via Smartphone Sensing,” ACM International Joint Conference on Pervasive and Ubiquitous computing (Ubicomp), Singapore, 9-11 Oct., 2018