Image Ting WANG
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Associate Professor
Shanghai Key Laboratory of Trustworthy Computing
Engineering Research Center of Software/Hardware Co-design Technology and Application，Ministry of Education
Software Engineering Institute, East China Normal University
Address: Room B1116, Science Building, 3663 N. Zhongshan Rd., Shanghai, PR.China, 200062
Email: twang(at)sei.ecnu.edu.cn
Homepage@ECNU: link

I am an associate professor at the Software Engineering Institute of ECNU, with the Shanghai Key Laboratory of Trustworthy Computing and the Engineering Research Center of Software/Hardware Co-design Technology and Application，Ministry of Education. I am leading the Intelligent Computing and Networking (ICN) Research Group, and our ressearch mainly focuses on Datacenter Networking, Machine Learning Systems, AI-driven Intelligent Networking, Fog/Edge Computing and Cloud Computing. I obtained my Eng.Msc degree in Computer Infomation System Engineering from Warsaw Unviersity of Technology, Poland (sponsered by China Scholarship Council) in 2011 under the supervision of Prof. Jacek Wojciechowski, and my Ph.D. degree in Computer Science and Engineering from HKUST in 2015 under the supervision of Prof.Mounir Hamdi (IEEE Fellow). Prior to joining ECNU in 2020, I worked at the Bell Labs as a research scientist from 2015 to 2016, and at Huawei as a senior engineer from 2016 to 2020.

I am looking for self-motivated students and visiting researchers. Please send me emails with your CV if you are interested in my projects and have relevant background (strong programming skills are required, AI/Machine Learning experiences are a plus).

Research Interests

Latest News (more)

  1. [Mar-2023] Our paper "Hierarchical Relational Graph Learning for Autonomous Multi-Robot Cooperative Navigation in Dynamic Environments" was accepted by IEEE TCAD (CCF-A).
  2. [Feb-2023] Our paper "A Survey of AI-Enabled Dynamic Manufacturing Scheduling: From Directed Heuristic to Autonomous Learning" was accepted by ACM Computing Surveys (中科院SCI一区)!
  3. [Jan-2023] Our paper "A Comprehensive Survey of Few-shot Learning: Evolution, Applications, Challenges, and Opportunities" was accepted by ACM Computing Surveys (中科院SCI一区)!
  4. [Jan-2023] Our paper "Towards Efficient Task Offloading at the Edge based on Meta-Reinforcement Learning with Hybrid Action Space" was accepted by IEEE ICC (CCF-C).
  5. [Jan-2023] 获批项目：科技部科技创新2030-“新一代人工智能”重大项目，课题2-“轻量模型个性增强技术”，经费240万元，课题骨干成员（排名：2），2023.3-2026.2.
  6. [Nov-2022] Our paper "FairLight: Fairness-Aware Autonomous Traffic Signal Control with Hierarchical Action Space" was accepted by IEEE TCAD (CCF-A).
  7. [Sep-2022] Our paper "Multi-agent Reinforcement Learning for Dynamic Resource Management in 6G in-X Subnetworks" was accepted by IEEE TWC (中科院SCI一区，CCF-B)!
  8. [Aug-2022] Our paper "MonitorLight: Reinforcement Learning-based Traffic Signal Control using Mixed Pressure Monitoring" was accepted by ACM CIKM (CCF-B).
  9. [Jul-2022] Our paper "Blocking Island Paradigm Enhanced Intelligent Coordinated Virtual Network Embedding Based on Deep Reinforcement Learning" was accepted by IEEE SECON (acceptance rate 26%) (CCF-B).
  10. [Jul-2022] Our paper "PervasiveFL: Pervasive Federated Learning for Heterogeneous IoT Systems" was accepted by CODES+ISSS (CCF-B) and will be directly published in IEEE TCAD (CCF-A).
  11. [Jul-2022] 我们的新书《5GtoB从理论到实践》已上线发行！该书由电子工业出版社出版，京东、当当等平台均可预订购买（当当网（link），京东（link））！点此查看该书简介。
  12. [Jun-2022] Our paper "Over-the-Air Federated Learning via Second-Order Optimization" was accepted by IEEE TWC (中科院SCI一区，CCF-B)!
  13. [May-2022] 获批项目：科技部科技创新2030-“新一代人工智能”重大项目，本人为子课题3华东师大负责人，经费176万元，执行期2022年6月-2025年5月。
  14. [Apr-2022] Our paper "Eliminating Backdoor Triggers for Deep Neural Networks Using Attention Relation Graph Distillation" was accepted by IJCAI 2022 (acceptance ratio 15%) (CCF-A)!

ICN Research Group (more)

  1. ICN RG Leader
    • Ting Wang
  2. Ph.D Students
    • Xiao Du
  3. Full-time Master Students
    • Peng Yang (2020-2023)
    • Jiali Wang (2021-2024)
    • Kai Cheng (2021-2024)
    • Xiaoyu Jia (2022-2025)
    • Yuxiang Deng (2022-2025)
    • Junkai Qian (2022-2025)
  4. Part-time Master Students
    • Xuejian Tian (2019-2022)
    • Yisheng Song (2020-2023)
    • Jianguo Xue (2021-2024)
    • Xin Jiang (2021-2024)
    • more...

Teaching (more)

Recent Publications (full list, Google Scholar)

  1. 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.
  2. 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.
  3. 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.
  4. 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.
  5. 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
  6. 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.
  7. 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.
  8. 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.
  9. 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.
  10. 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.
  11. 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.
  12. Jun Xia, Ting Wang, Jieping Ding, Xian Wei, Mingsong Chen. "Eliminating Backdoor Triggers for Deep Neural Networks Using Attention Relation Graph Distillation", International Joint Conference on Artificial Intelligence (IJCAI), 2022.
  13. 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.
  14. 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.
  15. 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).
  16. 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.
  17. 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.
  18. Ting Wang, Gang Liu, "Software Defined Virtualized Access Network Supporting Network Slicing and Green Communication", Journal of Computer Research and Development, 2021.
  19. T. Wang, J. Mao, M. Chen, G. Liu, J. Di and S. Yu "ICE: Intelligent Caching at the Edge", IEEE Global Communications Conference 2021.
  20. 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.
  21. 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.
  22. Ting Wang, Gang Liu, "SDVAN: Towards Software Defined Virtualized Access Network Supporting Network Slicing and Green Communication", Journal of Computer Research and Development, 2021.
  23. 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.
  24. 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.[pdf]

Professional Activities (more)

  1. Founding Editor-in-Chief of ICSES Interdisciplinary Transactions on Cloud Computing, IoT, and Big Data (IITCIB)
  2. Associate Editor of IEEE Access
  3. Editorial Board (Technical Committee) of Journal of Computer Communications, Elsvier
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