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ORCIDSongan Zhang
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2020 – today
- 2024
[j5]Lu Wen
, Eric H. Tseng, Huei Peng, Songan Zhang:
Dream to Adapt: Meta Reinforcement Learning by Latent Context Imagination and MDP Imagination. IEEE Robotics Autom. Lett. 9(11): 9701-9708 (2024)- [j4]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): 4840-4844 (2024) - [j3]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): 4861-4876 (2024) - [c13]Xunfa Lai, Zhiyu Yang, Jie Hu, Shengchuan Zhang, Liujuan Cao, Guannan Jiang, Zhiyu Wang, Songan Zhang, Rongrong Ji:
CamoTeacher: Dual-Rotation Consistency Learning for Semi-supervised Camouflaged Object Detection. ECCV (45) 2024: 438-455 - [c12]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: 2361-2366 - [c11]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: 2383-2390 - [c10]Jie Hu, Jie Li, Yue Ma, Liujuan Cao, Songan Zhang, Wei Zhang, Guannan Jiang, Rongrong Ji:
Prompting to Adapt Foundational Segmentation Models. ACM Multimedia 2024: 7104-7112 - [i17]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 abs/2404.11064 (2024) - [i16]Mingyang Jiang, Yueyuan Li, Songan Zhang, Chunxiang Wang, Ming Yang:
HOPE: A Reinforcement Learning-based Hybrid Policy Path Planner for Diverse Parking Scenarios. CoRR abs/2405.20579 (2024) - [i15]Xunfa Lai, Zhiyu Yang, Jie Hu, Shengchuan Zhang, Liujuan Cao, Guannan Jiang, Zhiyu Wang, Songan Zhang, Rongrong Ji:
CamoTeacher: Dual-Rotation Consistency Learning for Semi-Supervised Camouflaged Object Detection. CoRR abs/2408.08050 (2024) - [i14]Yueyuan Li, Mingyang Jiang, Songan Zhang, Wei Yuan, Chunxiang Wang, Ming Yang:
End-to-end Driving in High-Interaction Traffic Scenarios with Reinforcement Learning. CoRR abs/2410.02253 (2024) - [i13]Yongming Chen, Miner Chen, Ye Zhu, Juan Pei, Siyu Chen, Yu Zhou, Yi Wang, Yifan Zhou, Hao Li, Songan Zhang:
Leverage Knowledge Graph and Large Language Model for Law Article Recommendation: A Case Study of Chinese Criminal Law. CoRR abs/2410.04949 (2024) - 2023
- [c9]Nicholas Rober, Michael Everett, Songan Zhang, Jonathan P. How:
A Hybrid Partitioning Strategy for Backward Reachability of Neural Feedback Loops. ACC 2023: 3523-3528 - [c8]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 - [i12]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 abs/2310.10810 (2023) - [i11]Lu Wen, Songan Zhang, H. Eric Tseng, Huei Peng:
Dream to Adapt: Meta Reinforcement Learning by Latent Context Imagination and MDP Imagination. CoRR abs/2311.06673 (2023) - [i10]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 abs/2311.10041 (2023) - [i9]Yueyuan Li, Songan Zhang, Mingyang Jiang, Xingyuan Chen, Ming Yang:
Tactics2D: A Multi-agent Reinforcement Learning Environment for Driving Decision-making. CoRR abs/2311.11058 (2023) - 2022
- [j2]Xinpeng Wang, Songan Zhang, Huei Peng:
Comprehensive Safety Evaluation of Highly Automated Vehicles at the Roundabout Scenario. IEEE Trans. Intell. Transp. Syst. 23(11): 20873-20888 (2022) - [c7]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: 8987-8994 - [i8]Nicholas Rober, Michael Everett, Songan Zhang, Jonathan P. How:
A Hybrid Partitioning Strategy for Backward Reachability of Neural Feedback Loops. CoRR abs/2210.07918 (2022) - 2021
- [c6]Minghan Zhu, Songan Zhang, Yuanxin Zhong, Pingping Lu, Huei Peng, John Lenneman:
Monocular 3D Vehicle Detection Using Uncalibrated Traffic Cameras through Homography. IROS 2021: 3814-3821 - [c5]Xinpeng Wang, Huei Peng, Songan Zhang, Kuan-Hui Lee:
An Interaction-aware Evaluation Method for Highly Automated Vehicles. ITSC 2021: 394-401 - [c4]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: 1745-1752 - [i7]Xinpeng Wang, Songan Zhang, Kuan-Hui Lee, Huei Peng:
An Interaction-aware Evaluation Method for Highly Automated Vehicles. CoRR abs/2102.11462 (2021) - [i6]Minghan Zhu, Songan Zhang, Yuanxin Zhong, Pingping Lu, Huei Peng, John Lenneman:
Monocular 3D Vehicle Detection Using Uncalibrated Traffic Cameras through Homography. CoRR abs/2103.15293 (2021) - [i5]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 abs/2104.08876 (2021) - [i4]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 abs/2108.08448 (2021) - 2020
- [j1]Xianan Huang, Songan Zhang, Huei Peng:
Developing Robot Driver Etiquette Based on Naturalistic Human Driving Behavior. IEEE Trans. Intell. Transp. Syst. 21(4): 1393-1403 (2020) - [c3]Songan Zhang, Huei Peng, Subramanya Nageshrao, H. Eric Tseng:
Generating Socially Acceptable Perturbations for Efficient Evaluation of Autonomous Vehicles. CVPR Workshops 2020: 1341-1347 - [i3]Songan Zhang, Huei Peng, Subramanya Nageshrao, H. Eric Tseng:
Generating Socially Acceptable Perturbations for Efficient Evaluation of Autonomous Vehicles. CoRR abs/2003.08034 (2020) - [i2]Zhong Cao, Shaobing Xu, Songan Zhang, Huei Peng, Diange Yang:
Driving-Policy Adaptive Safeguard for Autonomous Vehicles Using Reinforcement Learning. CoRR abs/2012.01010 (2020)
2010 – 2019
- 2019
- [c2]Songan Zhang, Huei Peng, Subramanya Nageshrao, H. Eric Tseng:
Discretionary Lane Change Decision Making using Reinforcement Learning with Model-Based Exploration. ICMLA 2019: 844-850 - 2018
- [c1]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: 3935-3940 - [i1]Xianan Huang, Songan Zhang, Huei Peng:
Developing Robot Driver Etiquette Based on Naturalistic Human Driving Behavior. CoRR abs/1808.00869 (2018)
Coauthor Index
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last updated on 2024-12-03 20:30 CET by the dblp team
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