Maonan Wang

Maonan Wang

Ph.D Student, CUHK(SZ)

Publications

You can also find my articles on my Google Scholar profile.

Journal papers

  1. M. Wang, Y. Chen, Y. Kan, C. Xu, M. Lepech, M. O. Pun and X. Xiong, "Traffic Signal Cycle Control With Centralized Critic and Decentralized Actors Under Varying Intervention Frequencies", IEEE Transactions on Intelligent Transportation Systems, vol. 25, no. 12, pp. 20085-20104, Dec. 2024. [Paper] [Github]
  2. X. Xiong, M. Wang, D. Sun and L. Jin, "An Approximate Dynamic Programming Approach to Vehicle Platooning Coordination in Networks", IEEE Transactions on Intelligent Transportation Systems, vol. 25, no. 11, pp. 16536-16547, Nov. 2024. [Paper]
  3. M. Wang, X. Xiong, Y. Kan, C. Xu and M. O. Pun, "UniTSA: A Universal Reinforcement Learning Framework for V2X Traffic Signal Control", IEEE Transactions on Vehicular Technology, vol. 73, no. 10, pp. 14354-14369, Oct. 2024. [Paper] [Github]
  4. A. Pang, M. Wang, Y. Chen, M. O. Pun and M. Lepech, "Scalable Reinforcement Learning Framework for Traffic Signal Control Under Communication Delays", IEEE Open Journal of Vehicular Technology, vol. 5, pp. 330-343, 2024. [Paper] [Github]
  5. M. Wang, K. Zheng, Y. Yang and X. Wang, "An Explainable Machine Learning Framework for Intrusion Detection Systems", IEEE Access, vol. 8, pp. 73127-73141, 2020. [Paper] [Github]
  6. Y. Li., Z. Lv. and M. Wang, "Visualization Investigation on the Marine Data with Multivariate Statistical Analysis Methods", Polish Maritime Research, vol. 24 no. s2, pp. 89-94, 2017. [Paper]

Conference Papers

  1. L. Liu, M. Wang, M. O. Pun and X. Xiong, "A Multi-Agent Rollout Approach for Highway Bottleneck Decongestion in Mixed Autonomy", 2024 IEEE 27th International Conference on Intelligent Transportation Systems (ITSC), Edmonton, AB, Canada, 2024, pp. 3377-3382. [Paper]
  2. A. Pang, Z. Xu, M. Wang, M. O. Pun and Y. Kan, "Reinforcement Learning-based Traffic Signal Control Using Delayed Observations for V2X", ICC 2023 - IEEE International Conference on Communications, Rome, Italy, 2023, pp. 4020-4025. [Paper] [GitHub]
  3. M. Wang, Y. Xu, X. Xiong, Y. Kan, C. Xu and M. O. Pun, "ADLight: A universal approach of traffic signal control with augmented data using reinforcement learning", 2023 Transportation Research Board Annual Meeting (TRB). [Paper] [GitHub]
  4. Z. Ma, C. Xu, Y. Kan, M. Wang and W. Wu, "Adaptive Coordinated Traffic Control for Arterial Intersections based on Reinforcement Learning", 2021 IEEE International Intelligent Transportation Systems Conference (ITSC), Indianapolis, IN, USA, 2021, pp. 2562-2567. [Paper]
  5. Z. Wang, K. Zheng, Q. Li, M. Wang and X. Wang, "Adversarial Text Generation for Personality Privacy Protection", 2021 4th International Conference on Data Science and Information Technology (DSIT 2021), New York, USA, pp. 159-165. [Paper]
  6. M. Wang, K. Zheng, X. Ning, Y. Yang and X. Wang, "CENTIME: A Direct Comprehensive Traffic Features Extraction for Encrypted Traffic Classification", 2021 IEEE 6th International Conference on Computer and Communication Systems (ICCCS), Chengdu, China, pp. 490-498. [Paper] [GitHub]
  7. M. Wang, K. Zheng, D. Luo, Y. Yang and X. Wang, "An Encrypted Traffic Classification Framework Based on Convolutional Neural Networks and Stacked Autoencoders", 2020 IEEE 6th International Conference on Computer and Communications (ICCC), Chengdu, China, pp. 634-641. [Paper] [GitHub]