Xiong, X., Wang, M., Sun, D., and Li, J. An Approximate Dynamic Programming Approach to Vehicle Platooning Coordination in Networks.IEEE Transactions on Intelligent Transportation Systems, Accepted for publication, June 2024.
Wang, M., Xiong, X., Kan, Y., Xu, C., and Pun, M. UniTSA: A Universal Reinforcement Learning Framework for V2X Traffic Signal Control.IEEE Transactions on Vehicular Technology, Early access, May 2024.
Yang, S., Yin, H.H., Yeung, R.W.,Xiong, X., Huang, Y., Ma, L., Li, M., and Tang, C. On Scalable Network Communication for Infrastructure-Vehicular Collaborative Autonomous Driving.IEEE Open Journal of Vehicular Technology, 2022, 4: 310-324.
Xiong, X., Sha, J. and Jin, L. Optimizing Coordinated Vehicle Platooning: An Analytical Approach Based on Stochastic Dynamic Programming.Transportation Research Part B: Methodological, 2021, 150: 482-502.
Čičić, M.,Xiong, X., Jin, L. and Johansson, K.H. Coordinating Vehicle Platoons for Highway Bottleneck Decongestion and Throughput Improvement.IEEE Transactions on Intelligent Transportation Systems, 2021, 23(7): 8959-8971.
Xiong, X., Ozbay, K., Jin, L., and Feng, C. Dynamic Origin-Destination Matrix Prediction with Line Graph Neural Networks and Kalman Filter.Transportation Research Record, 2020, 2674(8) pp.491-503.
Xiong, X. and Liu, L. Combining Policy Gradient and Safety-based Control for Autonomous Driving.In 24th COTA International Conference of Transportation Professional, CICTP2024.
Wang, M., Xu, Y.,Xiong, X., Kan, Y., Xu, C., and Pun, M. ADLight: A Universal Approach of Traffic Signal Control with Augmented Data Using Reinforcement Learning.In Transportation Research Board 102nd Annual Meeting, 2022.
Xiong, X., Xiao, E., and Jin., L. Analysis of a Stochastic Model for Coordinated Platooning of Heavy-duty Vehicles.In 58th IEEE Conference on Decision and Control (CDC), 2019.
Xiong, X., Wang, T., and Jin, L. Evaluation of Headway Threshold-based Coordinated Platooning over a Cascade of Highway Junctions.In Transportation Research Board 99th Annual Meeting, 2019.
Xiong, X., Jin, Z., Gao, D., and Lu, Q. Development of HIL Test Platform Based on VeriStand for Hybrid Powertrain Controller.In IEEE 2014 ITEC Asia-Pacific, 2014.
2019 Electrical and Computer Engineering, New York University. (February 2019) “Micro and macro operations of vehicle platoons on the highway.”
2023 INFORMS Annual Meeting, Arizona. (October 2023) “Coordinated platooning and adaptive routing with reinforcement learning.”
2022 Young Investigators Symposium on Frontiers in Innovative Technology (FIT), the University of Michigan-Shanghai Jiao Tong University Joint Institute, Shanghai. (December 2022) “Vehicle platooning in networks: modeling, optimization, and cooperation.”
2022 Transportation Research Board Annual Meeting, Washington, D.C. (January 2023) “ADLight: A universal approach of traffic signal control with augmented data using reinforcement learning.”
2022 Institute for International Affairs at CUHKSZ, Shenzhen (July 2022) “Intelligent transportation systems and smart cities.” (hosted by Prof. Zheng Yongnian)
2022 International Center for Industrial and Applied Mathematics, CUHK Shenzhen (May 2022) “Traffic flow on networks: modeling and optimization.” (hosted by Prof. Xiaoping Wang)
2022 CUHKSZ-Huawei Computational Mathematics Forum, Shenzhen (July 2022) “Vehicle platooning in networks: modeling, optimization, and cooperation.”
2021Session Chair at the International Workshop on Mathematical Issues in Information Sciences (MIIS), Shenzhen. (December 2021)
2020 Virtual INFORMS Annual Meeting (November 2020) “Vehicle platooning coordination in networks: A multi-agent reinforcement learning approach.”
2020 Transportation Research Board Annual Meeting, Washington, D.C. (January 2020) “Dynamic origin-destination matrix prediction with line graph neural networks and Kalman filter.”
2020 Transportation Research Board Annual Meeting, Washington, D.C. (January 2020) “Evaluation of headway threshold-based coordinated platooning over a cascade of highway junctions.”
2019 INFORMS Annual Meeting, Seattle. (October 2019) “Optimization of coordinated platooning for heavy-duty vehicles.”