Reinforcement Learning Notes
A list of my Reinforcement Learning notes (PDF).
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learning_notes
Stochastic Optimization Notes
A list of my Reinforcement Learning notes (PDF).
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publications
Enhance SIL Simulation Through Driver Behaviour Modeling at Unprotected Left-turn Scenario for Autonomous Driving SOTIF Analysis
Published in 7th International Conference on Intelligent Traffic and Transportation (ICITT), 2021
Authors: S. Liu, Q. Zhang, P. Wang, B. Feng, C. Huang, Y. Zhang, Lanyue Tang, L. Yue, J. Sun
Recommended citation: Liu, S., Zhang, Q., Wang, P., Feng, B., Huang, C., Zhang, Y., Tang, L., Yue, L., & Sun, J. (2023). Enhance SIL Simulation Through Driver Behaviour Modeling at Unprotected Left-turn Scenario for Autonomous Driving SOTIF Analysis. Proceedings of the 7th International Conference on Intelligent Traffic and Transportation (ICITT).
Accelerated Verification of Autonomous Driving Systems based on Adaptive Subset Simulation
Published in IEEE Transactions on Intelligent Vehicles, 2022
Authors: Ye Tian, Aohui Fu, He Zhang, Lanyue Tang, Jian Sun
Recommended citation: Tian, Y., Fu, A., Zhang, H., Tang, L., & Sun, J. (2024). Accelerated Verification of Autonomous Driving Systems based on Adaptive Subset Simulation. IEEE Transactions on Intelligent Vehicles.
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Parallel-Computing-Based Calibration for Microscopic Traffic Simulation Model
Published in Transportation Research Record, 2023
A parallel-computing-based calibration framework for microscopic traffic simulation models.
Recommended citation: Tang, L., Zhang, D., Han, Y., Tian, Y., Yue, L., Sun, J.* (2023). Parallel-Computing-Based Calibration for Microscopic Traffic Simulation Model. Transportation Research Record.
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Parallel-Computing-Based Calibration for Microscopic Traffic Simulation Model
Published in Transportation Research Record, 2023
A parallel-computing-based calibration framework for microscopic traffic simulation models.
Recommended citation: Tang, L., Zhang, D., Han, Y., Tian, Y., Yue, L., Sun, J.* (2023). Parallel-Computing-Based Calibration for Microscopic Traffic Simulation Model. Transportation Research Record.
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CPSOR-GCN: A Vehicle Trajectory Prediction Method Powered by Emotion and Cognitive Theory
Published in arXiv preprint, 2023
Recommended citation: Tang, L., Li, Y., Yuan, J., Fu, A., & Sun, J. (2023). CPSOR-GCN: A Vehicle Trajectory Prediction Method Powered by Emotion and Cognitive Theory. arXiv preprint arXiv:2311.08086.
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talks
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Conference Proceeding talk 3 on Relevant Topic in Your Field
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teaching
Teaching experience 1
Undergraduate course, University 1, Department, 2014
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Teaching experience 2
Workshop, University 1, Department, 2015
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