NOTICE: The electronic versions of the papers listed on this webpage are provided for personal use. Copyright is owned by the respective publishers or persons, and should be inlcuded explicitly in any distribution of the papers. You may also find links to my publications here: [Google Scholar] (results may not be complete).

Books

  1. T. Wang, B. Li, M. Chen, and S. Yu, Machine Learning Empowered Intelligent Data Center Networking: Evolution, Challenges, and Opportunities, Springer, 2022. Online book link: Google Books, Amazon.
  2. 《5GtoB从理论到实践》，副主编，电子工业出版社出版，2022. 本书购买链接：当当网（link），京东（link）。

Journal/Transactions Papers

  1. Ting Wang, Yuxiang Deng, Jiawei Mao, Mingsong Chen, Gang Liu, Jieming Di, Keqin Li. "Towards Intelligent Adaptive Edge Caching using Deep Reinforcement Learning", IEEE Transactions on Mobile Computing (TMC), 2024.
  2. Ting Wang, Xin Jiang, Qin Li, Haibin Cai. "GreedW: A Flexible and Efficient Decentralized Framework for Distributed Machine Learning", IEEE Transactions on Computers (TC), 2024.
  3. Zhonglei Duan, Ting Wang*. "Towards Learning-based Energy-Efficient Online Coordinated Virtual Network Embedding Framework", Computer Networks, 2024.
  4. Peng Yang, Yuning Jiang, Dingzhu Wen, Ting Wang*, Colin N. Jones, Yuanming Shi. "Decentralized Over-the-Air Federated Learning by Second-Order Optimization Method", IEEE Transactions on Wireless Communications (TWC), 2023.
  5. Li'an Xie, Ting Wang*, Shuyi Du, Haibin Cai. "CERT-DF: A Computing-Efficient and Robust Distributed Deep Forest Framework with Low Communication Overhead", IEEE Transactions on Parallel and Distributed Systems (TPDS), 2023.
  6. Ting Wang, Yuxiang Deng, Zhao Yang, Yang Wang, Haibin Cai. "Parameterized Deep Reinforcement Learning with Hybrid Action Space for Collaborative Task Offloading at the Edge", IEEE Internet of Things Journal, 2023.
  7. Jiali Wang, Yijie Mao, Ting Wang*, Yuanming Shi. "Green Federated Learning Over Cloud-RAN with Limited Fronthual Capacity and Quantized Neural Networks", IEEE Transactions on Wireless Communications (TWC), 2023.
  8. Ting Wang, Xi Fan, Kai Cheng, Xiao Du, Haibin Cai, Yang Wang. "Parameterized Deep Reinforcement Learning with Hybrid Action Space for Energy Efficient Data Center Networks", Computer Networks, 2023.
  9. Junkai Qian, Yuning Jiang, Xin Liu, Qiong Wang, Ting Wang*, Yuanming Shi, Wei Chen. "Federated Reinforcement Learning for Electric Vehicles Charging Control on Distribution Networks", IEEE Internet of Things Journal, 2023.
  10. Yangming Zhao，Cheng Yang, Gongming Zhao，Yunfei Hou, Ting Wang, Chunming Qiao. "JointPS: Joint Parameter Server Placement and Flow Scheduling for Machine Learning Clusters", IEEE Transactions on Computers, 2023.
  11. Jinglian He, Yijie Mao, Yong Zhou, Ting Wang, Yuanming Shi. "Reconfigurable Intelligent Surfaces Empowered Green Wireless Networks with User Admission Control", IEEE Transactions on Communicatioins (TCOM), 2023.
  12. Ting Wang, Xiao Du, Mingsong Chen, Keqin Li. "Hierarchical Relational Graph Learning for Autonomous Multi-Robot Cooperative Navigation in Dynamic Environments", IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (TCAD), 2023.
  13. Jiepin Ding, Mingsong Chen, Ting Wang, Junlong Zhou, Xin Fu, Keqin Li. "A Survey of AI-Enabled Dynamic Manufacturing Scheduling: From Directed Heuristic to Autonomous Learning", ACM Computing Surveys, 2023.
  14. Yisheng Song, Ting Wang*, Puyu Cai, Subrota K Mondal, Jyoti Prakash Sahoo. "A Comprehensive Survey of Few-shot Learning: Evolution, Applications, Challenges, and Opportunities", ACM Computing Surveys, 2023.
  15. Yutong Ye, Jieping Ding, Ting Wang, Junlong Zhou, Xian Wei, Mingsong Chen. "FairLight: Fairness-Aware Autonomous Traffic Signal Control with Hierarchical Action Space", IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (TCAD), 2022
  16. Xiao Du, Ting Wang*, Qiang Feng, Chenhui Ye, Tao Tao, Lu Wang, Yuanming Shi, Mingsong Chen. "Multi-agent Reinforcement Learning for Dynamic Resource Management in 6G in-X Subnetworks", IEEE Transactions on Wireless Communications (TWC), 2022.
  17. Jun Xia, Tian Liu, Zhiwei Ling, Ting Wang, Xin Fu and Mingsong Chen, "PervasiveFL: Pervasive Federated Learning for Heterogeneous IoT Systems", CODES+ISSS and IEEE TCAD.
  18. Peng Yang, Yuning Jiang, Ting Wang*, Yong Zhou, Yuanming Shi, and Colin N. Jones, "Over-the-Air Federated Learning via Second-Order Optimization", IEEE Transactions on Wireless Communications (TWC), 2022.
  19. Bo Li, Ting Wang*, Peng Yang, Mingsong Chen, Mounir Hamdi, "Rethinking Data Center Networks: Machine Learning Enables Network Intelligence", Journal of Communications and Information Networks (JCIN), 2022.
  20. Tian Liu, Jiahao Ding, Ting Wang, Miao Pan, Mingsong Chen, "Towards Fast and Accurate Federated Learning with non-IID Data for Cloud-Based IoT Applications", Journal of Circuits, Systems, and Computers (JCSC), 2022.
  21. Yang Wang, Yutong Li, Ting Wang*, Gang Liu, "Towards an Energy-Efficient Data Center Network Based on Deep Reinforcement Learning", Journal of Computer Networks, 2022.
  22. Li, Bo, Ting Wang*, Peng Yang, Mingsong Chen, Shui Yu, and Mounir Hamdi. "Machine Learning Empowered Intelligent Data Center Networking: A Survey." arXiv preprint arXiv:2202.13549 (2022).
  23. Zexi Chen, Ting Wang*, Haibin Cai, Subrota K. Mondal, and Jyoti Prakash Sahoo, "BLB-gcForest: A High-Performance Distributed Deep Forest with Adaptive sub-Forest Splitting", IEEE TPDS, 2021.
  24. Wupan Zhao, Yutong Ye, Jiepin Ding, Ting Wang, Tongquan Wei, Mingsong Chen, "IPDALight: Intensity- and Phase Duration-Aware Traffic Signal Control Based on Reinforcement Learning", Journal of Systems Architecture, 2021.
  25. Ting Wang, Gang Liu, "Software Defined Virtualized Access Network Supporting Network Slicing and Green Communication", Journal of Computer Research and Development, 2021.
  26. Gang Liu, Jinsong Wu, Ting Wang*, "Block-Chain Enabled Fog Resource Access and Granting", Journal of Intelligent and Converged Networks, 2021.
  27. Lu Wang, Jianhao Zhang, Ting Wang, Kaishun Wu, "A Fine-grained Multi-access Edge Computing Architecture for Cloud-network Integration", Journal of Computer Research and Development, 2021.
  28. T. Wang, Y. Wang, "An Efficient SDN-based Edge Computing Framework for Computation Offloading and Service Augmentation," ICSES Interdisciplinary Transactions on Cloud Computing, IoT, and Big Data (IITCIB), pp. 1-3, Mar. 2019.
  29. T. Wang, Y. Xia, J. Muppala, and M. Hamdi, "Achieving Energy Efficiency in Data Centers Using an Artificial Intelligence Abstraction Model", IEEE Transactions on Cloud Computing, 2018.
  30. T. Wang, L. Wang and M. Hamdi "A Cost-effective Low-latency Overlaid Torus-based Data Center Network Architecture", Journal of Computer Communications, 2018.
  31. Z. Su, T. Wang, and M. Hamdi, "JOTA: Joint Optimization for the Task Assignment of Sketch-based Measurement", Journal of Computer Communications, 2017.
  32. T. Wang, and M. Hamdi, "Presto:Towards Efficient Online Virtual Network Embedding in Virtualized Cloud Data Centers", Journal of Computer Networks, 2016.
  33. T. Wang, Z. Su, Y. Xia, B. Qin, and M. Hamdi, "Towards Cost-effective and Low Latency Data Center Network Architecture", Journal of Computer Communications, 2016.
  34. T. Wang, B. Qin, Z. Su, Y. Xia, M. Hamdi, S. Foufou, and R. Hamila, "Towards Bandwidth Guaranteed Energy Efficient Data Center Networking", Journal of Cloud Computing: Advances, Systems and Applications (JoCCASA), 2015.
  35. Z. Su, T. Wang, Y. Xia, M. Hamdi, "CeMon: A Cost-effective Flow Monitoring System in Software Defined Networks", Journal of Computer Networks, 2015.
  36. T. Wang, Z. Su, Y. Xia, J. Muppala, and M. Hamdi, "Designing Efficient High Performance Server-Centric Data Center Network Architectures", Journal of Computer Networks, 2015.
  37. T. Wang, Z. Su, Y. Xia, and M. Hamdi, "Rethinking Data Center Networking: Architecture, Network Protocols, and Resource Sharing", Journal of IEEE Access, 2014.

Conference/Symposium/Workshop Papers

  1. Xiao Du, Yutong Ye, Pengyu Zhang, Yaning Yang, Mingsong Chen, Ting Wang*, "Situation-Dependent Causal Influence-Based Cooperative Multi-agent Reinforcement Learning", 38th AAAI Conference on Artificial Intelligence 2024 (AAAI-24).
  2. Jiali Wang, Yutong Ye, Ting Wang*, and Mingsong Chen*, "LWSA: A Learning-Based Workflow Scheduling Algorithm for Energy-Efficient UAV Delivery System", IEEE International Conference on Parallel and Distributed Systems (ICPADS 2023).
  3. Zhiwei Ling, Zhihao Yue, Jun Xia, Ting Wang, Mingsong Chen, Xiang Lian, "FedEntropy: Efficient Federated Learning for Non-IID Scenarios Using Maximum Entropy Judgment-based Client Selection", IEEE International Symposium on Parallel and Distributed Processing with Applications (IEEE ISPA), 2023.
  4. Jiali Wang, Yuning Jiang, Xin Liu, Ting Wang*, Yuanming Shi. "Federated Linear Bandit Learning via Over-the-air Computation", IEEE Global Communications Conference (IEEE Globecom), 2023.
  5. Jianguo Xue, Ting Wang*, Puyu Cai. "Towards Efficient Workflow Scheduling over Yarn Cluster using Deep Reinforcement Learning", IEEE Global Communications Conference (IEEE Globecom), 2023.
  6. Zhihao Yue, Jun Xia, Zhiwei Ling, Ming Hu, Ting Wang, Xian Wei, Mingsong Chen. "Model-Contrastive Learning for Backdoor Elimination", ACM International Conference on Multimedia (MM), 2023.
  7. Jiali Wang, Yijie Mao, Ting Wang*, and Yuanming Shi. "Green Federated Learning over Cloud-RAN with Limited Fronthaul and Quantized Neural Networks", IEEE International Mediterranean Conference on Communications and Networking, 2023. (Best Paper Award)
  8. Yutong Ye, Yingbo Zhou, Jiepin Ding, Ting Wang, Mingsong Chen, Xiang Lian. "InitLight: Initial Model Generation for Traffic Signal Control using Adversarial Inverse Reinforcement Learning", International Joint Conference on Artificial Intelligence (IJCAI), 2023.
  9. Zhao Yang, Yuxiang Deng, Ting Wang*, Haibin Cai. "Towards Efficient Task Offloading at the Edge based on Meta-Reinforcement Learning with Hybrid Action Space", IEEE International Conference on Communication (ICC), 2023.
  10. Zekuan Fang, Fan Zhang, Ting Wang, Xiang Lian and Mingsong Chen. "MonitorLight: Reinforcement Learning-based Traffic Signal Control using Mixed Pressure Monitoring", ACM International Conference on Information and Knowledge Management (CIKM), 2022.
  11. Ting Wang, Yang Peng, Zhihao Wang, and Haibin Cai. "Blocking Island Paradigm Enhanced Intelligent Coordinated Virtual Network Embedding Based on Deep Reinforcement Learning", IEEE International Conference on Sensing, Communication, and Networking (SECON), 2022.
  12. Jun Xia, Ting Wang, Jieping Ding, Xian Wei, and Mingsong Chen. "Eliminating Backdoor Triggers for Deep Neural Networks Using Attention Relation Graph Distillation", International Joint Conference on Artificial Intelligence (IJCAI), 2022.
  13. T. Wang, J. Mao, M. Chen, G. Liu, J. Di and S. Yu "ICE: Intelligent Caching at the Edge", IEEE Global Communications Conference (IEEE Globecom) 2021.
  14. J. Wang, S. Huang, X. Zeng, T. Wang, and Y. Shi "Multiuser Downlink Beamforming for URLLC in the Short Blocklength Regime", IEEE/CIC 10th International Conference on Communications in China (ICCC 2021), 2021.
  15. Y. Xia, J. Wu, J. Xia, T. Wang, and S. Mao "Multipath-aware TCP for Data Center Traffic Load-balancing", IEEE/ACM 29th International Symposium on Quality of Service (IWQOS), 2021.
  16. S. Huang, Y. Zhou, T. Wang, and Y. Shi "Byzantine-Resilient Federated Machine Learning via Over-the-Air Computation", IEEE ICC 2021 Workshop on Edge Learning for 5G Mobile Networks and Beyond.
  17. Y. Yang, Y. Zhou, T. Wang, and Y. Shi "Reconfigurable Intelligent Surface Assisted Federated Learning with Privacy Guarantee", IEEE ICC 2021 Workshop on Edge Learning for 5G Mobile Networks and Beyond.
  18. M. Fu, Y. Zhou, Y. Shi, T. Wang, and W. Chen "UAV-Assisted Over-the-Air Computation", IEEE International Conference on Communications, ICC '21, 2021.
  19. T. Wang, and Mounir Hamdi, "Enforcing Timely Network Policies Installation in OpenFlow-based Software Defined Networks", IEEE International Conference on Communications, ICC '17, 2017.
  20. T. Wang, M. Hamdi, "An Efficient Framework for Online Virtual Network Embedding in Virtualized Cloud Data Centers", IEEE International Conference on Cloud Networking, CloudNet '15, 2015.
  21. T. Wang, and M. Hamdi, "JieLin: A Scalable and Fault Tolerant Server-Centric Data Center Network Architecture", IEEE Global Communications Conference, GLOBECOM '15, 2015.
  22. T. Wang, Z. Su, Y. Xia, and M. Hamdi, "CLOT: A Cost-effective Low-latency Overlaid Torus-based Network Architecture for Data Centers", IEEE International Conference on Communications, ICC '15, 2015.
  23. Z. Su, T. Wang, M. Hamdi, "COSTA: Cross-layer Optimization for Sketch-based Software Defined Measurement Task Assignment", IEEE/ACM International Symposium on Quality and Service (IWQoS'15), 2015.
  24. T. Wang, Z. Su, Y. Xia, B. Qin, and M. Hamdi, "NovaCube: A Low Latency Torus-Based Network Architecture for Data Centers", IEEE Global Communications Conference, GLOBECOM '14, 2014.
  25. T. Wang, Y. Xia, J. Muppala, M. Hamdi, and S. Foufou, "A General Framework For Performance Guaranteed Green Data Center Networking", IEEE Global Communications Conference, GLOBECOM '14, 2014.
  26. Y. Xia, T. Wang, Zhiyang Su, M. Hamdi, "Fine-Grain Power Control for Combined Input-Crosspoint Queued Switches", IEEE Global Communications Conference, GLOBECOM '14, 2014.
  27. Z. Su, T. Wang, Y. Xia, and M. Hamdi, "FlowCover: Low-cost Flow Monitoring Scheme in Software Defined Networks", IEEE Global Communications Conference, GLOBECOM '14, 2014.
  28. T. Wang, Z. Su, Y. Xia, Y. Liu, J. Muppala and M. Hamdi, "SprintNet: A High Performance Server-Centric Network Architecture for Data Centers", IEEE International Conference on Communications, ICC '14, 2014.
  29. T. Wang, Y. Xia, D. Lin, and M. Hamdi, "Improving the efficiency of server-centric data center network architectures", IEEE International Conference on Communications, ICC '14, 2014.
  30. Z. Su, T. Wang, Y. Xia, and M. Hamdi, "CheetahFlow - Towards Low Latency Software-Defined Network", IEEE International Conference on Communications, ICC '14, 2014.
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