Accelerated Evaluation of Autonomous Vehicles in the Lane Change Scenario Based on Subset Simulation Technique. - Songan Zhang; Huei Peng; Ding Zhao; H. Eric Tseng (ITSC, 2018)

Discretionary Lane Change Decision Making using Reinforcement Learning with Model-Based Exploration. - Songan Zhang; Huei Peng; Subramanya Nageshrao; H. Eric Tseng (ICMLA, 2019)

Generating Socially Acceptable Perturbations for Efficient Evaluation of Autonomous Vehicles. - Songan Zhang; Huei Peng; Subramanya Nageshrao; H. Eric Tseng (CVPR Workshops, 2020)

Driving-Policy Adaptive Safeguard for Autonomous Vehicles Using Reinforcement Learning. - Zhong Cao; Shaobing Xu; Songan Zhang; Huei Peng; Diange Yang (CoRR, 2020)

Developing Robot Driver Etiquette Based on Naturalistic Human Driving Behavior. - Xianan Huang; Songan Zhang; Huei Peng (IEEE Trans. Intell. Transp. Syst., 2020)

Monocular 3D Vehicle Detection Using Uncalibrated Traffic Cameras through Homography. - Minghan Zhu; Songan Zhang; Yuanxin Zhong; Pingping Lu; Huei Peng; John Lenneman (IROS, 2021)

An Interaction-aware Evaluation Method for Highly Automated Vehicles. - Xinpeng Wang 002; Huei Peng; Songan Zhang; Kuan-Hui Lee (ITSC, 2021)

Quick Learner Automated Vehicle Adapting its Roadmanship to Varying Traffic Cultures with Meta Reinforcement Learning. - Songan Zhang; Lu Wen; Huei Peng; H. Eric Tseng (ITSC, 2021)

Prior Is All You Need to Improve the Robustness and Safety for the First Time Deployment of Meta RL. - Lu Wen; Songan Zhang; H. Eric Tseng; Baljeet Singh; Dimitar P. Filev; Huei Peng (CoRR, 2021)

Improved Robustness and Safety for Pre-Adaptation of Meta Reinforcement Learning with Prior Regularization. - Lu Wen; Songan Zhang; H. Eric Tseng; Baljeet Singh; Dimitar P. Filev; Huei Peng (IROS, 2022)

Comprehensive Safety Evaluation of Highly Automated Vehicles at the Roundabout Scenario. - Xinpeng Wang 002; Songan Zhang; Huei Peng (IEEE Trans. Intell. Transp. Syst., 2022)

A Hybrid Partitioning Strategy for Backward Reachability of Neural Feedback Loops. - Nicholas Rober; Michael Everett; Songan Zhang; Jonathan P. How (ACC, 2023)

Robust Multi-Agent Reinforcement Learning via Adversarial Regularization: Theoretical Foundation and Stable Algorithms. - Alexander Bukharin; Yan Li; Yue Yu 001; Qingru Zhang; Zhehui Chen; Simiao Zuo; Chao Zhang 014; Songan Zhang; Tuo Zhao (NeurIPS, 2023)

Interpretable Reinforcement Learning for Robotics and Continuous Control. - 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 075; Subramanya Nageshrao; et al. (CoRR, 2023)

Tactics2D: A Multi-agent Reinforcement Learning Environment for Driving Decision-making. - Yueyuan Li; Songan Zhang; Mingyang Jiang; Xingyuan Chen; Ming Yang (CoRR, 2023)

CamoTeacher: Dual-Rotation Consistency Learning for Semi-supervised Camouflaged Object Detection. - Xunfa Lai; Zhiyu Yang; Jie Hu 018; Shengchuan Zhang; Liujuan Cao; Guannan Jiang; Zhiyu Wang; Songan Zhang; Rongrong Ji (ECCV (45), 2024)

Pix2Planning: End-to-End Planning by Vision-language Model for Autonomous Driving on Carla Simulator. - Xiangru Mu; Tong Qin 001; Songan Zhang; Chunjing Xu; Ming Yang 002 (IV, 2024)

Balanced Training for the End-to-End Autonomous Driving Model Based on Kernel Density Estimation. - Tong Yao; Wei Yuan 002; Songan Zhang; Chunxiang Wang (IV, 2024)

Prompting to Adapt Foundational Segmentation Models. - Jie Hu 018; Jie Li 052; Yue Ma; Liujuan Cao; Songan Zhang; Wei Zhang 217; Guannan Jiang; Rongrong Ji (ACM Multimedia, 2024)

Rethinking 3D Dense Caption and Visual Grounding in A Unified Framework through Prompt-based Localization. - Yongdong Luo; Haojia Lin; Xiawu Zheng; Yigeng Jiang; Fei Chao 001; Jie Hu 018; Guannan Jiang; Songan Zhang; Rongrong Ji (CoRR, 2024)

HOPE: A Reinforcement Learning-based Hybrid Policy Path Planner for Diverse Parking Scenarios. - Mingyang Jiang; Yueyuan Li; Songan Zhang; Chunxiang Wang; Ming Yang (CoRR, 2024)

End-to-end Driving in High-Interaction Traffic Scenarios with Reinforcement Learning. - Yueyuan Li; Mingyang Jiang; Songan Zhang; Wei Yuan; Chunxiang Wang; Ming Yang (CoRR, 2024)

Leverage Knowledge Graph and Large Language Model for Law Article Recommendation: A Case Study of Chinese Criminal Law. - Yongming Chen; Miner Chen; Ye Zhu; Juan Pei; Siyu Chen; Yu Zhou; Yi Wang; Yifan Zhou; Hao Li; Songan Zhang (CoRR, 2024)

Choose Your Simulator Wisely: A Review on Open-Source Simulators for Autonomous Driving. - Yueyuan Li; Wei Yuan 002; Songan Zhang; Weihao Yan; Qiyuan Shen; Chunxiang Wang; Ming Yang 002 (IEEE Trans. Intell. Veh., 2024)

Tactics2D: A Highly Modular and Extensible Simulator for Driving Decision-Making. - Yueyuan Li; Songan Zhang; Mingyang Jiang; Xingyuan Chen; Jing Yang 044; Yeqiang Qian; Chunxiang Wang; Ming Yang 002 (IEEE Trans. Intell. Veh., 2024)

Dream to Adapt: Meta Reinforcement Learning by Latent Context Imagination and MDP Imagination. - Lu Wen; Eric H. Tseng; Huei Peng; Songan Zhang (IEEE Robotics Autom. Lett., 2024)

FP-TTC: Fast Prediction of Time-to-Collision Using Monocular Images. - Changlin Li; Yeqiang Qian; Songan Zhang; Chunxiang Wang; Ming Yang 002 (IEEE Trans. Circuits Syst. Video Technol., 2025)

Learning-based 3D Reconstruction in Autonomous Driving: A Comprehensive Survey. - Liewen Liao; Weihao Yan; Ming Yang 002; Songan Zhang (CoRR, 2025)

ROAD: Responsibility-Oriented Reward Design for Reinforcement Learning in Autonomous Driving. - Yongming Chen; Miner Chen; Liewen Liao; Mingyang Jiang; Xiang Zuo; Hengrui Zhang; Yuchen Xi; Songan Zhang (CoRR, 2025)

HOPE: A Reinforcement Learning-Based Hybrid Policy Path Planner for Diverse Parking Scenarios. - Mingyang Jiang; Yueyuan Li; Songan Zhang; Siyuan Chen; Chunxiang Wang; Ming Yang 002 (IEEE Trans. Intell. Transp. Syst., 2025)