熊溪，同济大学交通运输工程学院特聘研究员，博士生导师。美国纽约大学交通运输工程专业博士，哈佛大学肯尼迪学院博士后。研究领域涵盖智能网联交通系统、交通流理论、网络系统优化、多智能体系统、随机优化、机器学习等。在Transportation Research Part B, IEEE Transactions on Intelligent Transportation Systems等顶级期刊发表多篇论文，担任Nature Communications, IEEE Transactions on Intelligent Transportation Systems等国际期刊审稿人，并担任Communications in Transportation Research期刊青年编委。担任中国自动化学会网联智能系统专委会委员，入选上海市领军人才计划（海外）、深圳市海外高层次人才计划。
诚邀博士后、研究生、本科生加入，欢迎垂询！
教育经历
2017-2021 纽约大学交通运输工程系 博士
2012-2015 清华大学汽车工程系 硕士
2008-2012 吉林大学汽车工程学院 学士
工作经历
2023-至今 同济大学交通运输工程学院 特聘研究员
2021-2023 香港中文大学（深圳）大数据研究院 副研究员
2021-2022 哈佛大学肯尼迪学院 博士后
2015-2017 清华大学汽车工程系 科研助理
研究领域
智能网联交通系统、交通流理论、网络系统优化、多智能体系统、随机优化、机器学习等。
获奖情况
上海市领军人才计划（海外）
深圳市海外高层次人才计划
代表性论文
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.
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: Journal of Transportation Research Board, 2674(8) pp.491-503.
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.
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.
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.
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.
会议报告
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.”
Session Chair at the 2021 International Workshop on Mathematical Issues in Information Sciences (MIIS), Shenzhen. (December 2021)
Institute for International Affairs at CUHKSZ, Shenzhen (July 2022) “Intelligent transportation systems and smart cities.” (hosted by Prof. Zheng Yongnian)
International Center for Industrial and Applied Mathematics, CUHK Shenzhen (May 2022) “Traffic flow on networks: modeling and optimization.” (hosted by Prof. Xiaoping Wang)
CUHKSZ-Huawei Computational Mathematics Forum 2022, Shenzhen (July 2022) “Vehicle platooning in networks: modeling, optimization, and cooperation.”
Virtual 2020 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.”