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Xu Chen
  • Full Professor, School of Data and Computer Science, Sun Yat-sen University, Guangzhou, China
  • Director, Institute of Advanced Networking & Computing Systems
  • Vice Director, National & Local Joint Engineering Laboratory
  • Email: chenxu35 -AT- mail.sysu.edu.cn
Short Biography

Dr. Xu Chen is currently a Full Professor at School of Data and Computer Science, 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 in Arizona State University, USA. From April 2014 to Aug. 2016, he was a Humboldt Scholar Fellow at Institute of Computer Science of University of Goettingen, Germany.

Dr. Chen has published over 150 scientific papers in leading international conferences and journals, many of which appear in top-tier conferences such as MOBIHOC, ICDCS and INFOCOM and top-tier journals such as IEEE JSAC, IEEE TON and IEEE TMC. His research results have been highly visible, with four publications being selected as ESI Highly Cited 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, 2017 IEEE Communication Society Asia-Pacific Outstanding Young Researcher Award, 2017 IEEE ComSoc Young Professional Best Paper Award, Honorable Mention Award of 2010 IEEE international conference on Intelligence and Security Informatics (ISI), Best Paper Runner-up Award of 2014 IEEE International Conference on Computer Communications (INFOCOM), and Best Paper Award of 2017 IEEE Intranational Conference on Communications (ICC).

Dr. Chen currently serves as an area editor for IEEE Open Journal of the Communications Society, and associate editors for IEEE Transactions on Wireless Communications, 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.

Research Interests
  • Edge Computing, Edge Intelligence, AI for Networking, Mobile Social Networks, Cognitive Radio Networks, and Network Economics
  • Game Theory, Deep Learning, Dynamic Optimization, Stochastic Analysis, and Resource Allocation
  • IT Technologies for Public Infrastructure Security and Privacy
Editorship
  • Area Editor, IEEE Open Journal of the Communications Society (IEEE OJ-COM), 2019 – Present
  • Associate Editor, IEEE Transactions on Wireless Communications (TWC), 2019 – Present
  • Associate Editor, IEEE Internet of Things Journal (IoTJ), 2018 – Present
  • Editor, IEEE Journal on Selected Areas in Communications (JSAC), Series on Network Softwarization and Enablers, 2018 – Present
  • Associate Editor, IEEE Access Journal, 2017 -- Present
  • Associate Editor, EURASIP Journal on Wireless Communications and Networking, 2014 -- Present
  • Section Editor, Springer Handbook of Cognitive Radio (Section Book on Cognitive Radio Resource Management), 2016 - Present
  • Editorial Board Member, Frontiers of Information Technology & Electronic Engineering, 2016 -- Present
Selected Awards
  • 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
Selected Publications (Google Scholar)
  • 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.
  • 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. (ESI Highly Cited Paper, ESI Hot Paper, >280 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. (ESI Highly Cited Paper, >180 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. (ESI Highly Cited Paper, ESI Hot Paper, >1500 citations)
  • 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.(ESI Highly Cited Paper)
  • 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 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. 
  • 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. (ESI Highly Cited Paper)
  • 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 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. (ESI Highly Cited Paper)
  • 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.(ESI Highly Cited Paper, >500 citations)
  • 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, 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 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
  • 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.
  • TNSE Canhui Chen, Xu Chen*, Jianshan Yu,Weigang Wu, and DiWu, “Impact of Temporary Fork on the Evolution of Mining Pools in Blockchain Networks: An Evolutionary Game Analysis,”accepted by IEEE Transactions on Network Science and Engineering (TNSE), Nov. 2020.
  • TCC Rui Li, Zhi Zhou, Qing Ling, and Xu Chen*, “Resource Price-Aware Offloading for Edge-Cloud Collaboration: A Two-Timescale Online Control Approach,” accepted by IEEE Transactions on Cloud Computing, Aug. 2019.
  • TCCN Gongwei Xiao, MuhongWu, Zhi Zhou, Qian Shi, and Xu Chen, “DeepVR: Deep Reinforcement Learning for Predictive Panoramic Video Streaming,” accepted by IEEE Transactions on Cognitive Communications and Networking, Aug. 2019.
  • IoTJ Shuai Yu, Xiaowen Gong, Qian Shi, XiaofeiWang, and Xu Chen, “EC-SAGINs: Edge Computing-enhanced Space-Air-Ground Integrated Networks for Internet of Vehicles,”accepted by IEEE Internet of Things Journal (IoTJ), Jan. 2021.
  • IoTJ Shuai Yu, Xu Chen*, Zhi Zhou, Xiaowen Gong, and DiWu, “When Deep Reinforcement Learning Meets Federated Learning: Intelligent Multi-Timescale Resource Management for Multi-access Edge Computing in 5G Ultra Dense Network,” accepted by IEEE Internet of Things Journal (IoTJ), Sept. 2020.
  • IoTJ Xin Tang, Xu Chen*, Liekang Zeng, Shuai Yu, and Lin Chen, “Joint Multi-User DNN Partitioning and Computational Resource Allocation for Collaborative Edge Intelligence,” IEEE Internet of Things Journal (IoTJ), July 2020.
  • IoTJ Song Yang, Nan He, Fan Li, Stojan Trajanovski, Xu Chen, YuWang, and Xiaoming Fu, “Survivable Task Allocation in Cloud Radio Access Networks with Mobile Edge Computing,”IEEE Internet of Things Journal (IoTJ), July 2020.
  • IoTJ Mingyue Cui, Shipeng Zhong, Boyang Li, Xu Chen, and Huang Kai , "Offloading Autonomous Driving Services via Edge Computing,” accepted by IEEE Internet of Things Journal, May 2020.
  • IoTJ Zhi Zhou, Shuai Yu, Wuhui Chen, and Xu Chen*, “CE-IoT: Cost-Effective Cloud-Edge Resource Provisioning for Heterogeneous IoT Applications,” IEEE Internet of Things Journal, April 2020.
  • IoTJ Qiong Wu, Xu Chen*, Zhi Zhou, and Liang Chen, “Mobile Social Data Learning for User-Centric Location Prediction with Application in Mobile Edge Service Migration,”accepted by IEEE Internet of Things Journal, Feb. 2019.​
  • IoTJ Kang Liu, Xiaoyu Qiu, Wuhui Chen, Xu Chen, and Zibin Zheng, “Optimal Pricing Mechanism for Data Market in Blockchain-enhanced Internet of Things,” IEEE Internet of Things Journal, July 2019.
  • IoTJ Zhen Zhang, Zicong Hong, Wuhui Chen, Zibin Zheng, and Xu Chen, “Joint Computation Offloading and Coin Loaning for Blockchain-empowered Mobile-EdgeComputing,” accepted by IEEE Internet of Things Journal, Aug. 2019.
  • IoTJ  Kaijun Liu, Ke Luo, Zhizhou, and Xu Chen*, “ERP: Edge Resource Pooling for Data Stream Mobile Computing,” accepted by IEEE Internet of Things Journal, Nov. 2018.
  • IoTJ Lingjun Pu, Xu Chen*, Guoqiang Mao, Qinyi Xie and Jingdong Xu*, “Chimera: An Energy-efficient and Deadline-aware Hybrid Edge Computing Framework for Vehicular Crowdsensing Applications,” accepted by IEEE Internet of Things Journal, Sept. 2018.
  • IoTJ Yang Yang, KunlunWang, Guowei Zhang, Xu Chen, Xiliang Luo, and Ming-Tuo Zhou, “MEETS: Maximal Energy Efficient Task Scheduling in Homogeneous Fog Networks,”accepted by IEEE Internet of Things Journal, June 2018.
  • IoTJ Song Yang, Fan Li, Meng Shen, Xu Chen, Xiaoming Fu, and YuWang, “Cloudlet Placement and Task Allocation in Mobile Edge Computing,” accepted by IEEE Internet of Things Journal, March 2019.
  • TIOT Yali Yuan, Chencheng Liang, Megumi Kaneko, Xu Chen, Lingjun Pu, and Xiaoming Fu,“Adaptive Fuzzy Game-based Energy Efficient Localization in Underwater Sensor Networks,” accepted by ACM Transactions on Internet Technology, June 2020.
  • OJ-COMS Deyin Liu, Xu Chen*, Zhi Zhou, and Qing Ling, “HierTrain: Fast Hierarchical Edge AI Learning with Hybrid Parallelism in Mobile-Edge-Cloud Computing,” IEEE Open Journal of the Communications Society, May 2020.
  • OJ-CS Qiong Wu, Kaiwen He, and Xu Chen*, “Personalized Federated Learning for Intelligent IoT Applications: A Cloud-Edge based Framework,”IEEE Open Journal of the Computer Society, May 2020.
  • WCM X. Chen, L. Pu, L. Gao, W. Wu, and D. Wu, "Exploiting Massive D2D Collaboration for Energy-Efficient Mobile Edge Computing," IEEE Wireless Communications, Vol. 24, No. 4, pp. 64 - 71, Aug. 2017. (ESI Highly Cited Paper)
  • WCM Shuai Yu, Xu Chen*, Lei Yang, Di Wu, Mehdi Bennis, and Junshan Zhang, “Intelligent Edge: Leveraging Deep Imitation Learning for Mobile Edge Computation Offloading,” accepted by IEEE Wireless Communications, Dec. 2019
  • NET Liekang Zeng, En Li, Zhi Zhou, and Xu Chen*, “Boomerang: On-demand Cooperative Deep Neural Network Inference for Edge Intelligence on Industrial Internet of Things,” IEEE Network, May 2019.
  • NET  XiaofeiWang, Yiwen Han, ChenyangWang, Qiyang Zhao, Xu Chen, and Min Chen, “In-Edge AI: Intelligentizing Mobile Edge Computing, Caching and Communication by Federated Learning,” accepted by IEEE Network, March 2019.
  • NET X. Chen, Z. Zhou, W. Wu,  D. Wu and J. Zhang, “Socially-Motivated Cooperative Mobile Edge Computing,”accpetted by IEEE Networks, Jan. 2018.
  • NET X. Chen, Qian Shi, Lei Yang, and Jie Xu, “ThriftyEdge: Resource-Efficient Edge Computing for Intelligent IoT Applications,”IEEE Networks, Vol. 32, No. 1, pp. 61--65, Jan.-Feb. 2018.
  • NET Konglin Zhu,Wenting Zhi, X. Chen, Lin Zhang, “Socially Motivated Data Caching in Ultra Dense Small Cell Networks,” IEEE Networks, Vol. 31, No. 4, pp. 42–48, August 2017. 
  • TSMC X. Chen, “Police Patrol Optimization with Security Level Functions,” IEEE Transactions on System Man and Cybernetics: Systems , Vol. 43, No. 5, pp. 1042–1051, September 2013.
  • TSMC X. Chen, “Fast Patrol Route Planning in Dynamic Environments,” IEEE Transactions on System Man and Cybernetics (SMC) –Part A: Human and Systems, Vol. 42, No. 4, pp. 894–904, July 2012.
  • TSG L. Yang, X. Chen, J. Zhang, and H.V. Poor, “Cost-Effective and Privacy-Preserving Energy Management for Smart Meters,” IEEE Transactions on Smart Grid, Vol. 6, No. 1, pp. 486–495, Jan. 2015.
  • TVT  Siqi Luo, Xu Chen, Zhi Zhou, and Shuai Yu, “Fog-enabled Joint Computation, Communication and Caching Resource Sharing for Energy-Efficient IoT Data Stream Processing,” accepted by IEEE Transactions on Vehicular Technology, Feb. 2021
  • TVT  Qian Shi and Xu Chen*, “Carpool for Big Data: Enabling Efficient Crowd Cooperation in Data Market for Pervasive AI,” accepted by IEEE Transactions on Vehicular Technology, April 2020.
  • TVT  Xu Chen, Wenzhong Li, Sanglu Lu, Zhi Zhou, and Xiaoming Fu, “Efficient Resource Allocation for On-Demand Mobile-Edge Cloud Computing,” accepted by IEEE Transactions on Vehicular Technology, June 2018.
  • TVT Yali Yuan, Chencheng Liang, Megumi Kaneko, Xu Chen, and Dieter Hogrefe, “Topology Control for Energy-Efficient Localization in Mobile Underwater Sensor Networks using Stackelberg Game,” IEEE Transactions on Vehicular Technology, Nov. 2018.
  • TCOM  Chaojing Xue,Wenzhong Li, Lingfan Yu, Jiacheng Shang, and Xu Chen, and Sanglu Lu,“SERO: A Model-driven Seamless Roaming Framework forWireless Mesh Network with Multipath TCP,” accepted by IEEE Transactions on Communications, Nov. 2018.
  • TSIPN X. Gong, X. Chen*, J. Zhang, and H.V. Poor, “ Exploiting Social Trust Assisted Reciprocity (STAR) towards Utility-Optimal Socially-aware Crowdsensing,” IEEE Transactions on Signal and Information Processing over Networks, Vol 1. No. 3, pp. 195 - 208, Sept. 2015.
  • TETC L. Pu, X. Chen*, J. Xu*, X. Fu, “Content Retrieval At the Edge: A Social-aware and Named Data Cooperative Framework,” accepted by IEEE Transactions on Emerging Topics in Computing, May 2016.
  • 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.
  • 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 Zhicong Zhong, Yipeng Zhou, DiWu, 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.
  • 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.
  • 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
    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
  • MECOMM En Li, Zhi Zhou, Xu Chen*,“Edge Intelligence: On-Demand Deep Learning Model Co-Inference with Device-Edge Synergy,” The ACM SIGCOMM Workshop on Mobile Edge Communications, Budapest, Hungary, August 21-23, 2018.