AI for Science、无人驾驶与智能交通、物理智能Physical AI、具身智能、平行智能、大模型与智能体、智能控制、复杂系统、社会计算

欢迎攻读硕士学位、博士学位、博士后或实习生的同学联系我。

招访问学生、联合培养学生、实习生，要求数学和计算机编程基础好。

2007-09--2010-07   中国科学院自动化研究所   博士
2005-09--2007-07   哈尔滨工业大学   硕士
2001-09--2005-07   哈尔滨工业大学   本科

2010-07至今，中国科学院自动化研究所复杂系统管理与控制国家重点实验室，助理研究员、副研究员、研究员
2014-02--2015--02，Northwestern University，Visiting Scholar

IEEE Intelligent Transportation Systems Magazine主编

IEEE Transactions on Intelligent Transportation Systems编委

IEEE Transactions on Intelligent Vehicles编委

自动化学报编委

智能科学与技术学报编委

IEEE Intelligent Transportation Systems Society，Vice President for Publication

中国自动化学会副秘书长

中国自动化学会综合智能交通专委会主任

科研奖：

2025中国自动化学会青年科技奖

2023IEEE智能交通系统杰出研究奖

2020中国自动化学会自然科学一等奖

2018中国自动化学会科学技术进步奖特等奖

2019北京市科学技术进步奖二等奖

2015 IEEE智能交通杰出应用奖

论文奖：

2023 IEEE International Conference on Digital Twins and Parallel Intelligence最佳论文奖

2022 IEEE International Conference on Intelligent Transportation Systems最佳学生论文

2022 IEEE International Conference on Intelligent Transportation Systems最佳论文奖

2017-2020 ITSM Best Paper High Commendation Award，IEEE Intelligent Transportation Systems Magazine

2020 IFAC Workshop on Cyber-Physical and Human Systems最佳研究论文

2018 IEEE智能交通系统汇刊The George N. Saridis Best Transactions Paper Award

2018《IEEE/CAA Journal of Automatica Sinica》钱学森论文奖

2018《自动化学报》优秀论文

2013 IEEE International Conference on Service Operations and Logistics, and Informatics最佳学生论文

服务奖：

2021 The Outstanding Associate Editor Award of IEEE Intelligent Transportation Systems Magazine

-Refereed Conference Paper

[1] Peizhe Gong, Enming Zhang, Ruixi Qiao, Xingyuan Dai, Xiaoyan Gong, Qinghai Miao, Yu Lu, Yisheng Lv*, "Evaluating the Perceptual Robustness of Vision-Language Models for Autonomous Driving in Corner Cases," 2026 IEEE Intelligent Vehicles Symposium (IV), Plymouth, MI, USA, 2026, pp. 305-311. (Oral, 8.5% of accepted papers selected as oral presentation)

[2] Jie Cheng, Ruixi Qiao, Yingwei Ma, Binhua Li, Gang Xiong, Qinghai Miao, Yongbin Li*, Yisheng Lv*, “Scaling Offline Model-Based RL via Jointly-Optimized World-Action Model Pretraining”, ICLR 2025.

[3] Jie Cheng, Gang Xiong, Ruixi Qiao, Lijun Li, Chao Guo, Junle Wang, Yisheng Lv*, Fei-Yue Wang, “Stop Summation: Min-Form Credit Assignment Is All Process Reward Model Needs for Reasoning”, NeurIPS 2025.

[4] Jie Cheng, Gang Xiong, Xingyuan Dai, Qinghai Miao, Yisheng Lv*, Fei-Yue Wang, “RIME: Robust Preference-based Reinforcement Learning with Noisy Preferences”, ICML 2024 (Spotlight Paper)

[5] Siqi Fan, Qiulei Dong*, Fenghua Zhu, Yisheng Lv*, Peijun Ye, Fei-Yue Wang, "SCF-Net: Learning Spatial Contextual Features for Large-Scale Point Cloud Segmentation," 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2021, pp. 14499-14508, doi: 10.1109/CVPR46437.2021.01427.

[6] Chen Zhao, Xingyuan Dai, Xiao Wang, Lingxi Li, Yisheng Lv* and Fei-Yue Wang, "Learning Transformer-based Cooperation for Networked Traffic Signal Control," 2022 IEEE 25th International Conference on Intelligent Transportation Systems (ITSC), 2022, pp. 3133-3138, doi: 10.1109/ITSC55140.2022.9921995.

[7] Peijun Ye, Fenghua Zhu, Yisheng Lv, Xiao Wang and Yuanyuan Chen, "Efficient Calibration of Agent-Based Traffic Simulation Using Variational Auto-Encoder," 2022 IEEE 25th International Conference on Intelligent Transportation Systems (ITSC), 2022, pp. 3077-3082, doi: 10.1109/ITSC55140.2022.9922234.

[8] Xi Li, Siqi Fan, Yuanyuan Chen, Yuliang Liu, Shichao Chen, Fenghua Zhu and Yisheng Lv*, "PAT: Point Cloud Analysis with Local Filter Embedding in Transformer," 2022 IEEE 25th International Conference on Intelligent Transportation Systems (ITSC), 2022, pp. 3165-3170, doi: 10.1109/ITSC55140.2022.9922529.

[9] Yuanyuan Chen and Yisheng Lv, "Mobility Pattern Analysis during 2020 Chinese National Day under the COVID-19 pandemic," 2022 Australian & New Zealand Control Conference (ANZCC), 2022, pp. 197-200, doi: 10.1109/ANZCC56036.2022.9966981.

[10] Qinghai Miao, Min Huang, Yisheng Lv and Fei-Yue Wang, "Parallel Learning between Science for AI and AI for Science: A Brief Overview and Perspective," 2022 Australian & New Zealand Control Conference (ANZCC), 2022, pp. 171-175, doi: 10.1109/ANZCC56036.2022.9966863.

[11] Xiaoyu Chen, Gang Xiong, Yisheng Lv*, Yuanyuan Chen, Bing Song, Fei-Yue Wang, "A Collaborative Communication-Qmix Approach for Large-scale Networked Traffic Signal Control," 2021 IEEE International Intelligent Transportation Systems Conference (ITSC), 2021, pp. 3450-3455, doi: 10.1109/ITSC48978.2021.9564683.

[12] Vladislav Kashansky, Nishant Saurabh, Radu Prodan, Aso Validi, Cristina Olaverri-Monreal, Renate Burian, Gerhard Burian, Dimo Hirsch, Yisheng Lv, Fei-Yue Wang, Hai Zuhge, "The ADAPT Project: Adaptive and Autonomous Data Performance Connectivity and Decentralized Transport Network," Proceedings of the Conference on Information Technology for Social Good, Roma, Italy, 2021, pp. 115–120.

-Refereed Journal Paper

[1] Ruixi Qiao, Jie Cheng, Chenglong Ye, Yunfeng Ai , Yisheng Lv*, "MineVLA: Vision-Language-Action Model for Autonomous Mining," in IEEE/ASME Transactions on Mechatronics, 2026, doi: 10.1109/TMECH.2026.3708878.

[2] Zhishuai Li, Ziyue Li, Xiaoru Hu, Guoqing Du, Yunhao Nie, Feng Zhu, Lei Bai, Rui Zhao, Yisheng Lv, "VisionTraj: A Noise-Robust Trajectory Recovery Framework Based on Large-Scale Camera Network," in IEEE Transactions on Intelligent Transportation Systems, vol. 26, no. 10, pp. 15826-15837, Oct. 2025.

[3] Yiqing Tang, Xingyuan Dai, Yisheng Lv*, "Large Language Model-Assisted Arterial Traffic Signal Control," in IEEE Journal of Radio Frequency Identification, vol. 8, pp. 322-326, 2024.

[4] Yisheng Lv, Yanjie Duan, Wenwen Kang, Zhengxi Li, Fei-Yue Wang, "Traffic Flow Prediction with Big Data: A Deep Learning Approach," in IEEE Transactions on Intelligent Transportation Systems, vol. 16, no. 2, pp. 865-873, April 2015.

[5] Yisheng Lv, Xiqiao Zhang, Wenwen Kang, Yanjie Duan, "Managing Emergency Traffic Evacuation with a Partially Random Destination Allocation Strategy: A Computational-Experiment-Based Optimization Approach," in IEEE Transactions on Intelligent Transportation Systems, vol. 16, no. 4, pp. 2182-2191, Aug. 2015.

[6] Yunhao Nie, Bo Lu, Qiyuan Chen, Qinghai Miao, Yisheng Lv, "SynPoses: Generating Virtual Dataset for Pedestrian Detection in Corner Cases," in IEEE Journal of Radio Frequency Identification, 2022, doi: 10.1109/JRFID.2022.3211285.

[7] Chen Zhao, Yisheng Lv, Junchen Jin, Yonglin Tian, Jiangong Wang, Fei-Yue Wang, "DeCAST in TransVerse for Parallel Intelligent Transportation Systems and Smart Cities: Three Decades and Beyond," in IEEE Intelligent Transportation Systems Magazine, vol. 14, no. 6, pp. 6-17, Nov.-Dec. 2022, doi: 10.1109/MITS.2022.3199557.

[8] Qiyuan Chen, Zebing Wei, Xiao Wang, Lingxi Li, and Yisheng Lv*, "Social Relation and Physical Lane Aggregator: Integrating Social and Physical Features for Multimodal Motion Prediction," in Journal of Intelligent and Connected Vehicles, vol. 5, no. 3, pp. 302-308, 2022, doi: 10.1108/JICV-07-2022-0028

[9] Peijun Ye, Yuanyuan Chen, Fenghua Zhu, Yisheng Lv*, Wanze Lu, Fei-Yue Wang, "Bridging the Micro and Macro: Calibration of Agent-Based Model Using Mean-Field Dynamics," in IEEE Transactions on Cybernetics, vol. 52, no. 11, pp. 11397-11406, Nov. 2022, doi: 10.1109/TCYB.2021.3089712.

[10] Lei Ren, Xiaoyang Fan, Jin Cui, Zhen Shen, Yisheng Lv, Gang Xiong, "A Multi-Agent Reinforcement Learning Method With Route Recorders for Vehicle Routing in Supply Chain Management," in IEEE Transactions on Intelligent Transportation Systems, vol. 23, no. 9, pp. 16410-16420, Sept. 2022, doi: 10.1109/TITS.2022.3150151.

[11] Zhishuai Li, Gang Xiong, Zebing Wei, Yu Zhang, Meng Zheng, Xiaoli Liu, Sasu Tarkoma, Min Huang*, Yisheng Lv*, Chuheng Wu, "Trip Purposes Mining From Mobile Signaling Data," in IEEE Transactions on Intelligent Transportation Systems, vol. 23, no. 8, pp. 13190-13202, Aug. 2022, doi: 10.1109/TITS.2021.3121551.

[12] Xueliang Zhao, Zhishuai Li, Yu Zhang, Yisheng Lv*, "Discover Trip Purposes From Cellular Network Data With Topic Modeling," in IEEE Intelligent Transportation Systems Magazine, vol. 14, no. 4, pp. 37-46, July-Aug. 2022, doi: 10.1109/MITS.2020.3014111.

[13] Li Li, Can Zhao, Xiao Wang, Zhiheng Li, Long Chen, Yisheng Lv, Nan-Ning Zheng, Fei-Yue Wang, "Three Principles to Determine the Right-of-Way for AVs: Safe Interaction With Humans," in IEEE Transactions on Intelligent Transportation Systems, vol. 23, no. 7, pp. 7759-7774, July 2022, doi: 10.1109/TITS.2021.3072774.

[14] Zhishuai Li, Gang Xiong, Zebing Wei, Yisheng Lv*, Noreen Anwar, Fei-Yue Wang, "A Semisupervised End-to-End Framework for Transportation Mode Detection by Using GPS-Enabled Sensing Devices," in IEEE Internet of Things Journal, vol. 9, no. 10, pp. 7842-7852, 15 May15, 2022, doi: 10.1109/JIOT.2021.3115239.

[15] Yuanyuan Chen, Hongyu Chen, Peijun Ye, Yisheng Lv*, Fei-Yue Wang, "Acting as a Decision Maker: Traffic-Condition-Aware Ensemble Learning for Traffic Flow Prediction," in IEEE Transactions on Intelligent Transportation Systems, vol. 23, no. 4, pp. 3190-3200, April 2022, doi: 10.1109/TITS.2020.3032758.

[16] 吕宜生*,刘雅慧,陈圆圆,朱凤华.融合时空特征的端到端自动驾驶车辆转向角预测.中国公路学报, vol 35, no.03, pp. 263-272, 2022.DOI:10.19721/j.cnki.1001-7372.2022.03.022.

Yisheng Lv*, Yahui Liu, Yuanyuan Chen, Fenghua Zhu, "End-to-end Autonomous Driving Vehicle Steering Angle Prediction Based on Spatiotemporal Feature," in China Journal of Highway and Transport, vol.35, no. 03, pp. 263-272, 2022. (in Chinese)

[17] Peijun Ye, Bin Tian, Yisheng Lv*, Qijie Li and Fei-Yue Wang, "On Iterative Proportional Updating: Limitations and Improvements for General Population Synthesis," in IEEE Transactions on Cybernetics, vol. 52, no. 3, pp. 1726-1735, March 2022, doi: 10.1109/TCYB.2020.2991427.

[18] Chizhan Zhang, Fenghua Zhu, Xiao Wang, Leilei Sun, Haina Tang and Yisheng Lv*, "Taxi Demand Prediction Using Parallel Multi-Task Learning Model," in IEEE Transactions on Intelligent Transportation Systems, vol. 23, no. 2, pp. 794-803, Feb. 2022, doi: 10.1109/TITS.2020.3015542.

[19] Zhishuai Li, Gang Xiong, Yonglin Tian, Yisheng Lv*, Yuanyuan Chen, Pan Hui, Xiang Su, "A Multi-Stream Feature Fusion Approach for Traffic Prediction," in IEEE Transactions on Intelligent Transportation Systems, vol. 23, no. 2, pp. 1456-1466, Feb. 2022, doi: 10.1109/TITS.2020.3026836.

[20] Fenghua Zhu, Yisheng Lv*, Yuanyuan Chen, Xiao Wang, Gang Xiong and Fei-Yue Wang, "Parallel Transportation Systems: Toward IoT-Enabled Smart Urban Traffic Control and Management," in IEEE Transactions on Intelligent Transportation Systems, vol. 21, no. 10, pp. 4063-4071, Oct. 2020, doi: 10.1109/TITS.2019.2934991.

[21] Yuanyuan Chen, Yisheng Lv*, Fei-Yue Wang, "Traffic Flow Imputation Using Parallel Data and Generative Adversarial Networks," in IEEE Transactions on Intelligent Transportation Systems, vol. 21, no. 4, pp. 1624-1630, April 2020, doi: 10.1109/TITS.2019.2910295.

[22] Yuanyuan Chen, Yisheng Lv*, Xiao Wang, Lingxi Li, Fei-Yue Wang, "Detecting Traffic Information from Social Media Texts with Deep Learning Approaches," in IEEE Transactions on Intelligent Transportation Systems, vol. 20, no. 8, pp. 3049-3058, Aug. 2019, doi: 10.1109/TITS.2018.2871269.

[23] 吕宜生, 陈圆圆, 金峻臣, 李镇江, 叶佩军, 朱凤华. 平行交通：虚实互动的智能交通管理与控制, 智能科学与技术学报, vol.1, no. 01, pp. 21-33, 2019.

Yisheng Lv, Yuanyuan Chen, Junchen Jin, Zhenjiang Li, Peijun Ye, Fenghua Zhu, "Parallel Transportation: Virtual-Real Interaction for Intelligent Traffic Management and Control," in Chinese Journal of Intelligent Science and Technology, vol.1, no.01, pp. 21-33, 2019. (in Chinese)

[24] 吕宜生,王飞跃,张宇,张晓东.虚实互动的平行城市：基本框架、方法与应用, 智能科学与技术学报, vol.1, no. 03, pp. 311-317, 2019.

Yisheng Lv, Fei-Yue Wang, Yu Zhang, Xiaodong Zhang, "Parallel Cities: Framework, Methodology, and Application," in Chinese Journal of Intelligent Science and Technology, vol.1, no. 03, pp. 311-317, 2019. (in Chinese)

[25] Hairong Dong, Hainan Zhu, Yidong Li, Yisheng Lv, Shigen Gao, Qi Zhang, Bin Ning, "Parallel Intelligent Systems for Integrated High-Speed Railway Operation Control and Dynamic Scheduling," in IEEE Transactions on Cybernetics, vol. 48, no. 12, pp. 3381-3389, Dec. 2018, doi: 10.1109/TCYB.2018.2852772.

[26] Yisheng Lv, Yuanyuan Chen, Li Li, Fei-Yue Wang, "Generative Adversarial Networks for Parallel Transportation Systems," in IEEE Intelligent Transportation Systems Magazine, vol. 10, no. 3, pp. 4-10, Fall 2018, doi: 10.1109/MITS.2018.2842249.

[27] Yisheng Lv, Yuanyuan Chen, Xiqiao Zhang, Yanjie Duan, Naiqiang Li, "Social Media Based Transportation Research: The State of the Work and the Networking," in IEEE/CAA Journal of Automatica Sinica, vol. 4, no. 1, pp. 19-26, Jan. 2017, doi: 10.1109/JAS.2017.7510316.

[28] Yanjie Duan, Yisheng Lv*, Yu-Liang Liu, Fei-Yue Wang, ‘An Efficient Realization of Deep Learning for Traffic Data Imputation’, in Transportation Research Part C: Emerging Technologies, vol. 72, pp. 168–181, 2016.

[29] Li Li, Yisheng Lv*, Fei-Yue Wang, "Traffic Signal Timing via Deep Reinforcement Learning," in IEEE/CAA Journal of Automatica Sinica, vol. 3, no. 3, pp. 247-254, 10 July 2016, doi: 10.1109/JAS.2016.7508798.

[30] 段艳杰，吕宜生，张杰，赵学亮，王飞跃. 深度学习在控制领域的研究现状与展望. 自动化学报, vol. 42, no. 5,pp. 643-654,2016.

Yanjie Duan, Yisheng Lv, Jie Zhang, Xueliang Zhao, Fei-Yue Wang, "Deep Learning for Control: The State of the Art and Prospects," in Acta Automatica Sinica, vol. 42, no. 5,pp. 643-654,2016. (in Chinese)

[31] Hai-Rong Dong, Bin Ning, Gao-You Qin, Yisheng Lv, Lefei Li, "Urban Rail Emergency Response Using Pedestrian Dynamics," in IEEE Intelligent Systems, vol. 27, no. 1, pp. 52-55, Jan.-Feb. 2012, doi: 10.1109/MIS.2012.21.