1. 专职师资
  2. 陈旭

陈旭

所属研究所、院系: 
先进网络与计算系统研究所
职称: 
教授
E-mail: 
chenxu35@mail.sysu.edu.cn
办公地点: 
广州市番禺区大学城bat365在线中国登录入口
个人主页: https://sites.google.com/view/xcsysu/
教师简介: 

陈旭，bat365在线中国登录入口教授、博导、院长助理、先进网络与计算系统研究所所长、国家地方联合工程实验室副主任。2012年于香港中文大学信息工程系获得博士学位，2012年到2014年在美国亚利桑那州立大学任博士后，2014年到2016年在德国哥廷根大学任洪堡学者。2016年加入bat365在线中国登录入口，入选国家级和广东省人才项目。主要研究方向为边缘计算与云计算、分布式人工智能、边缘智能、联邦学习、算力网络等，迄今在IEEE/ACM Transactions on Networking、IEEE Transactions on Mobile Computing、IEEE Journal on Selected Areas in Communications、 MOBICOM、MOBIHOC、INFOCOM、ICDCS、WWW、UBICOMP等国际高水平会议与权威期刊发表论文超过200篇, 谷歌学术引用超过16000次，单篇引用最高超过2500次。 获得IEEE杰出讲师、德国洪堡学者、香港青年科学家奖、IEEE通信学会亚太区杰出青年学者奖、中国计算机学会分布式计算与系统专委会杰出青年学者、IEEE计算机学会年度最佳论文奖亚军、IEEE通信学会亚太区杰出论文奖、IEEE通信学会Young Professional最佳论文奖, IEEE Internet of Things Journal最佳论文亚军奖、CCF A类国际会议IEEE INFOCOM的最佳论文亚军奖、IEEE ICC最佳论文奖、以及IEEE IWQoS、WCNC最佳论文奖提名。获邀担任国际高水平期刊 IEEE Internet of Things Journal、IEEE Transactions on Wireless Communications、IEEE Transactions on Vehicular Technology、IEEE JSAC Series on Network Softwarization and Enablers、中国工程院院刊Frontiers of Information Technology & Electronic Engineering编委，以及​​IEEE Open Journal of the Communications Society领域主编。担任国家重点研发计划专项会评专家、科技部创新人才推进计划评审专家、 国家自然科学基金评审专家、中国计算机学会分布式计算与系统专委会副主任、广东省工业软件学会副会长、中国运筹学会智能工业数据解析与优化分会理事、广东省重点研发计划“芯片、软件与计算”重大专项专家组成员、中国电子科技集团电子科学研究院智库首席专家等兼职，并多次出任包括国际会议ACM MOBIHOC、INFOCOM、以及IEEE旗舰会议ICDCS、GLOBECOM、ICC、WCNC等大会技术程序委员会成员。

News: 长期招收博士、硕士研究生，以及百人计划副教授、特聘科研人员（副研究员、研究员）、博士后。欢迎优秀本科生加入实验室，表现优秀者可以推荐至香港、美国、欧洲各地继续深造。本团队与腾讯微信研究团队保持长期合作，表现优秀的研究生可优先推荐工作。

欢迎推免/考研学生联系本人咨询实验室的招生名额和相关事宜！

研究领域: 
  • 边缘计算与云计算、泛在算力网络、卫星智能计算
  • 边缘智能、联邦学习、分布式人工智能
  • 强化学习、智能机器人、大模型智能体
教育背景: 
  • 2020/11-至今：先进网络与计算系统研究所，所长。
  • 2017/10-至今：国家地方联合工程实验室，副主任。
  • 2016/09-至今：bat365官方网站登录，教授、博士生导师。
  • 2014/04-2016/08：德国哥廷根大学，洪堡学者研究员。
  • 2012/08-2014/02：美国亚利桑那州立大学，博士后研究员。
  • 2008/08-2012/07：香港中文大学，博士学位。
  • 2004/09-2008/07 ：华南理工大学，学士学位。
获奖及荣誉: 
  • IEEE ComSoc Distinguished Lecturer (IEEE杰出讲师), 2023
  • IEEE IWQoS Best Paper Award Finalist, 2023
  • IEEE WCNC Best Paper Award Nomination, 2023
  • 中国计算机系统大会DPCS最佳论文奖, 2023
  • 中国计算机学会分布式计算与系统专委会杰出青年学者, 2022
  • IEEE Internet of Things Journal Best Paper Runner-Up Award, 2022
  • IEEE计算机学会年度最佳论文奖亚军, 2022
  • IEEE通信学会亚太区杰出论文奖，2022
  • IEEE OJ-COMS Editor Award，2021
  • 全球前2%顶尖科学家“职业生涯影响力”和“年度影响力”榜单 (美国斯坦福大学发布)，2020-2023
  • 爱思唯尔中国高被引学者, 2021-2023
  • bat365在线中国登录入口学术委员会成员，2020-至今
  • 中国电子科技集团电子科学研究院智库首席专家, 2019-至今
  • 广东省“珠江人才计划”创新团队带头人，2018
  • 广东省“珠江人才计划”高层次引进人才，2018
  • IEEE ComSoc学会亚太区杰出青年学者奖，2017
  • IEEE ComSoc Young Professional最佳论文奖，2017
  • 国家级人才项目，2017
  • bat365官方网站登录“百人计划”青年杰出人才，2016
  • 德国洪堡学者，2014
  • 香港青年科学家奖亚军荣誉，2014
  • IEEE ICC最佳论文奖, 2017
  • IEEE INFOCOM最佳论文亚军奖, 2014
  • IEEE ISI最佳论文荣誉提名奖, 2010
科研项目: 
  • 国家自然科学基金联合重点项目（负责人）
  • 国家自然科学基金面上项目（负责人）
  • 广东省“珠江人才计划”创新团队项目（负责人）
  • 国家自然科学基金-广东省大数据科学中心项目（课题负责人）
  • 国家重点研发计划项目（子课题负责人）
主要学术兼职: 
  • IEEE Open Journal of the Communications Society, Cloud/Edge/IoT领域主编 (IEEE开放型旗舰期刊)
  • IEEE Journal on Selected Areas in Communications, Series on Network Softwarization and Enablers编委 （中科院一区、CCF A类） 
  • IEEE Internet of Things Journal副编辑 （中科院一区） 
  • IEEE Transactions on Wireless Communications副编辑  （中科院一区）
  • IEEE Transactions on Vehicular Technology副编辑  （中科院二区）
  • 中国计算机学会分布式计算与系统专委会副主任
  • 广东省工业软件学会副会长
  • 中国运筹学会智能工业数据解析与优化分会理事
代表性论著: 
  • [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.
  • [TKDE] Yunpeng Weng, Liang Chen, and Xu Chen*, “Identifying User Relationship on WeChat Money-Gifting Network,” accepted by IEEE Transactions on Knowledge and Data Engineering, Sept. 2020.
  • [TKDE] Yunpeng Weng, Xu Chen*, Liang Chen, and Wei Liu, “GAIN: Graph Attention & Interaction Network for Inductive Semi-Supervised Learning over Large-scale Graphs,” accepted by IEEE Transactions on Knowledge and Data Engineering, Oct. 2020.
  • [KDD] Zhiying Feng, Qiong Wu, and Xu Chen*, “Communication-efficient Multi-service Mobile Traffic Prediction by Leveraging Cross-service Correlations,” ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), Barcelona, Spain, 25-29 Aug., 2024.
  • [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. (>1100 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. (>2400 citations)
  • [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 (ToN), 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.(>240 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] 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. (>330 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. (>340 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] 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] 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. (>180 citations)
  • [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 Sept. 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 Sept. 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
  • 马惠荣, 陈旭*, 周知, 于帅. 绿色能源驱动的移动边缘计算动态任务卸载[J]. 计算机研究与发展, 2020, 57(9): 1823-1838.
  • 林椿珉，曾烈康，陈旭*. 边缘智能驱动的高能效无人机自主导航算法研究[J]. 物联网学报，2021，5(2): 1-5.
  • 范文, 韦茜, 周知, 于帅, 陈旭*. 数据新鲜度驱动的协作式无人机联邦学习智能决策优化研究[J]. 电子与信息学报，2022.