Songan Zhang

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 29

Top Topics

Reinforcement Learning

Density Estimation

Autonomous Driving

Top Venues

IEEE Trans. Intell. Veh.

Publications

Mingyang Jiang, Yueyuan Li, Songan Zhang, Chunxiang Wang, Ming Yang
HOPE: A Reinforcement Learning-based Hybrid Policy Path Planner for Diverse Parking Scenarios. CoRR (2024)
Yueyuan Li, Songan Zhang, Mingyang Jiang, Xingyuan Chen, Jing Yang, Yeqiang Qian, Chunxiang Wang, Ming Yang
Tactics2D: A Highly Modular and Extensible Simulator for Driving Decision-Making. IEEE Trans. Intell. Veh. 9 (5) (2024)
Yueyuan Li, Wei Yuan, Songan Zhang, Weihao Yan, Qiyuan Shen, Chunxiang Wang, Ming Yang
Choose Your Simulator Wisely: A Review on Open-Source Simulators for Autonomous Driving. IEEE Trans. Intell. Veh. 9 (5) (2024)
Yongdong Luo, Haojia Lin, Xiawu Zheng, Yigeng Jiang, Fei Chao, Jie Hu, Guannan Jiang, Songan Zhang, Rongrong Ji
Rethinking 3D Dense Caption and Visual Grounding in A Unified Framework through Prompt-based Localization. CoRR (2024)
Xiangru Mu, Tong Qin, Songan Zhang, Chunjing Xu, Ming Yang
Pix2Planning: End-to-End Planning by Vision-language Model for Autonomous Driving on Carla Simulator. IV (2024)
Tong Yao, Wei Yuan, Songan Zhang, Chunxiang Wang
Balanced Training for the End-to-End Autonomous Driving Model Based on Kernel Density Estimation. IV (2024)
Yueyuan Li, Songan Zhang, Mingyang Jiang, Xingyuan Chen, Ming Yang
Tactics2D: A Multi-agent Reinforcement Learning Environment for Driving Decision-making. CoRR (2023)
Rohan R. Paleja, Letian Chen, Yaru Niu, Andrew Silva, Zhaoxin Li, Songan Zhang, Chace Ritchie, Sugju Choi, Kimberlee Chestnut Chang, Hongtei Eric Tseng, Yan Wang, Subramanya Nageshrao, Matthew C. Gombolay
Interpretable Reinforcement Learning for Robotics and Continuous Control. CoRR (2023)
Alexander Bukharin, Yan Li, Yue Yu, Qingru Zhang, Zhehui Chen, Simiao Zuo, Chao Zhang, Songan Zhang, Tuo Zhao
Robust Multi-Agent Reinforcement Learning via Adversarial Regularization: Theoretical Foundation and Stable Algorithms. CoRR (2023)
Alexander Bukharin, Yan Li, Yue Yu, Qingru Zhang, Zhehui Chen, Simiao Zuo, Chao Zhang, Songan Zhang, Tuo Zhao
Robust Multi-Agent Reinforcement Learning via Adversarial Regularization: Theoretical Foundation and Stable Algorithms. NeurIPS (2023)
Lu Wen, Songan Zhang, H. Eric Tseng, Huei Peng
Dream to Adapt: Meta Reinforcement Learning by Latent Context Imagination and MDP Imagination. CoRR (2023)
Nicholas Rober, Michael Everett, Songan Zhang, Jonathan P. How
A Hybrid Partitioning Strategy for Backward Reachability of Neural Feedback Loops. ACC (2023)
Nicholas Rober, Michael Everett, Songan Zhang, Jonathan P. How
A Hybrid Partitioning Strategy for Backward Reachability of Neural Feedback Loops. CoRR (2022)
Xinpeng Wang, Songan Zhang, Huei Peng
Comprehensive Safety Evaluation of Highly Automated Vehicles at the Roundabout Scenario. IEEE Trans. Intell. Transp. Syst. 23 (11) (2022)
Lu Wen, Songan Zhang, H. Eric Tseng, Baljeet Singh, Dimitar P. Filev, Huei Peng
Improved Robustness and Safety for Pre-Adaptation of Meta Reinforcement Learning with Prior Regularization. IROS (2022)
Minghan Zhu, Songan Zhang, Yuanxin Zhong, Pingping Lu, Huei Peng, John Lenneman
Monocular 3D Vehicle Detection Using Uncalibrated Traffic Cameras through Homography. CoRR (2021)
Songan Zhang, Lu Wen, Huei Peng, H. Eric Tseng
Quick Learner Automated Vehicle Adapting its Roadmanship to Varying Traffic Cultures with Meta Reinforcement Learning. CoRR (2021)
Minghan Zhu, Songan Zhang, Yuanxin Zhong, Pingping Lu, Huei Peng, John Lenneman
Monocular 3D Vehicle Detection Using Uncalibrated Traffic Cameras through Homography. IROS (2021)
Songan Zhang, Lu Wen, Huei Peng, H. Eric Tseng
Quick Learner Automated Vehicle Adapting its Roadmanship to Varying Traffic Cultures with Meta Reinforcement Learning. ITSC (2021)
Lu Wen, Songan Zhang, H. Eric Tseng, Baljeet Singh, Dimitar P. Filev, Huei Peng
Prior Is All You Need to Improve the Robustness and Safety for the First Time Deployment of Meta RL. CoRR (2021)
Xinpeng Wang, Huei Peng, Songan Zhang, Kuan-Hui Lee
An Interaction-aware Evaluation Method for Highly Automated Vehicles. ITSC (2021)
Xinpeng Wang, Songan Zhang, Kuan-Hui Lee, Huei Peng
An Interaction-aware Evaluation Method for Highly Automated Vehicles. CoRR (2021)
Songan Zhang, Huei Peng, Subramanya Nageshrao, H. Eric Tseng
Generating Socially Acceptable Perturbations for Efficient Evaluation of Autonomous Vehicles. CoRR (2020)
Zhong Cao, Shaobing Xu, Songan Zhang, Huei Peng, Diange Yang
Driving-Policy Adaptive Safeguard for Autonomous Vehicles Using Reinforcement Learning. CoRR (2020)
Songan Zhang, Huei Peng, Subramanya Nageshrao, H. Eric Tseng
Generating Socially Acceptable Perturbations for Efficient Evaluation of Autonomous Vehicles. CVPR Workshops (2020)
Xianan Huang, Songan Zhang, Huei Peng
Developing Robot Driver Etiquette Based on Naturalistic Human Driving Behavior. IEEE Trans. Intell. Transp. Syst. 21 (4) (2020)
Songan Zhang, Huei Peng, Subramanya Nageshrao, H. Eric Tseng
Discretionary Lane Change Decision Making using Reinforcement Learning with Model-Based Exploration. ICMLA (2019)
Xianan Huang, Songan Zhang, Huei Peng
Developing Robot Driver Etiquette Based on Naturalistic Human Driving Behavior. CoRR (2018)
Songan Zhang, Huei Peng, Ding Zhao, H. Eric Tseng
Accelerated Evaluation of Autonomous Vehicles in the Lane Change Scenario Based on Subset Simulation Technique. ITSC (2018)