Reinforcement Learning

  1. Eugene Ie, Vihan Jain, Jing Wang, Sanmit Narvekar, Ritesh Agarwal, Rui Wu, Heng-Tze Cheng, Tushar Chandra, and Craig Boutilier. “SlateQ: A tractable decomposition for reinforcement learning with recommendation sets.” Proceedings of the Twenty-eighth International Joint Conference on Artificial Intelligence (IJCAI-19), Macau, China (2019)
  2. Eugene Ie, Vihan Jain, Jing Wang, Sanmit Navrekar, Ritesh Agarwal, Rui Wu, Heng-Tze Cheng et al. “Reinforcement learning for slate-based recommender systems: A tractable decomposition and practical methodology.” arXiv preprint arXiv:1905.12767 (2019).
  3. Jing Wang and Ioannis Ch Paschalidis. An actor-critic algorithm with second-order actor and critic. IEEE Transactions on Automatic Control, 2016
  4. Jing Wang and Ioannis Ch Paschalidis. A hessian actor-critic algorithm. In Decision and Control (CDC), 2014 IEEE 53rd Annual Conference on, pages 1131–1136. IEEE, 2014
  5. Jing Wang, Xuchu Ding, Morteza Lahijanian, Ioannis Ch Paschalidis, and Calin A. Belta. “Temporal Logic Motion Control using Actor-Critic Methods.” The International Journal of Robotics Research 34, no. 10 (2015): 1329-1344.
  6. Xu Chu Ding, Jing Wang, Morteza Lahijanian, Ioannis Ch. Paschalidis, Calin A. Belta. Temporal logic motion control using actor-critic methods. 2012 IEEE International Conference on Robotics and Automation.
  7. Reza Moazzez Estanjini, Xu Chu Ding, Morteza Lahijanian, Jing Wang, Calin A Belta, and Ioannis Ch Paschalidis. Least squares temporal difference actor-critic methods with applications to robot motion control. In Decision and Control and European Control Conference (CDC-ECC), 2011 50th IEEE Conference on, pages 704–709. IEEE, 2011

Anomaly Detection

  1. Jing Wang, Daniel Rossell, Christos G Cassandras, and Ioannis C Paschalidis. Network anomaly detection: A survey and comparative analysis of stochastic and deterministic methods. In Decision and Control (CDC), 2013 IEEE 52nd Annual Conference on, pages 182–187. IEEE, 2013
  2. Jing Wang and Ioannis Ch Paschalidis. Botnet detection based on anomaly and community detection. IEEE Transactions on Control of Network Systems, 2016
  3. Jing Wang, and Ioannis Ch Paschalidis. “Statistical traffic anomaly detection in time-varying communication networks.” IEEE Transactions on Control of Network Systems 2, no. 2 (2014): 100-111.
  4. Jing Wang and Ioannis Ch Paschalidis. Robust anomaly detection in dynamic networks. (MED), 2014 22nd Mediterranean Conference of, pages 428–433. IEEE, 2014
  5. Jing Wang and Ioannis Ch Paschalidis. Botnet detection using social graph analysis. In Communication, Control, and Computing (Allerton), 2014 52nd Annual Allerton Conference on, pages 393–400. IEEE, 2014
  6. Reza Moazzez-Estanjini, Jing Wang, and Ioannis Ch Paschalidis. Scheduling
    mobile nodes for cooperative data transport in sensor networks. IEEE/ACM
    Transactions on Networking (TON), 21(3):974–989, 2013
  7. Jing Wang, Jing Zhang, IC Paschalidis, Statitical Anomaly Detector of Internet Traffic (SADIT)
  8. Jing Wang, Jing Zhang, IC Paschalidis, General Anomaly Detector.


  1. Sittichai Jiampojamarn, Jing Wang, Deepak Ravichandran, and Eu-Jin Goh. Methods and systems to identify potential users using click-based referral of website visitors. 2017
  2. Jing Wang. Anomaly detection and dynamic decision making for stochastic systems. PhD thesis, Boston University, 2014
  3. Jing Wang. Zeta: A novel network coding based p2p downloading protocol. B.E. Thesis, Huazhong University of Science and Technology, 2010
  4. R. Taylor Locke, Jing Wang, and Ioannis Paschalidis. Anomaly detection techniques for data exfiltration attempts. Center for Information & Systems Engineering, Boston University, 8, 2012
  5. Jiaqing Huang, Hang Luo, and Jing Wang. Scalable web-based learning platform based on matlab web server for communication principles. In Frontiers in Computer Education, pages 175–183. Springer, 2012
  6. Jing Wang, Wei Huang, Zheng-yang Mei, and Ke-qi Li. The application of fuzzy theory in the evaluation of tuition fees, Journal of Hubei Normal University (Natural Science) 3, 024