Songan Zhang - RankMe

45 papers A* 2A 2C 4Journal 31Unranked 6

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Learning-Based 3D Reconstruction in Autonomous Driving: A Comprehensive Survey. IEEE Trans. Intell. Transp. Syst. Liewen Liao, Weihao Yan, Wang Xu, Ming Yang, Songan Zhang, Hongtei Eric Tseng
2026	J	`jnl`	Leverage Knowledge Graph and Large Language Model for law article recommendation: A case study of Chinese criminal law. J. Web Semant. Yongming Chen, Miner Chen, Ye Zhu, Juan Pei, Siyu Chen, Yu Zhou, Yi Wang, Yifan Zhou, Hao Li, Songan Zhang
2025	J	`jnl`	A Diffusion-Refined Planner with Reinforcement Learning Priors for Confined-Space Parking. CoRR Mingyang Jiang, Yueyuan Li, Jiaru Zhang, Songan Zhang, Min Yang
2025	J	`jnl`	ASBench: Image Anomalies Synthesis Benchmark for Anomaly Detection. CoRR Qunyi Zhang, Songan Zhang, Jinbao Wang, Xiaoning Lei, Guoyang Xie, Guannan Jiang, Zhichao Lu
2025	J	`jnl`	FP-TTC: Fast Prediction of Time-to-Collision Using Monocular Images. IEEE Trans. Circuits Syst. Video Technol. Changlin Li, Yeqiang Qian, Songan Zhang, Chunxiang Wang, Ming Yang
2025	J	`jnl`	HOPE: A Reinforcement Learning-Based Hybrid Policy Path Planner for Diverse Parking Scenarios. IEEE Trans. Intell. Transp. Syst. Mingyang Jiang, Yueyuan Li, Songan Zhang, Siyuan Chen, Chunxiang Wang, Ming Yang
2025	J	`jnl`	Learning-based 3D Reconstruction in Autonomous Driving: A Comprehensive Survey. CoRR Liewen Liao, Weihao Yan, Ming Yang, Songan Zhang
2025	J	`jnl`	ROAD: Responsibility-Oriented Reward Design for Reinforcement Learning in Autonomous Driving. CoRR Yongming Chen, Miner Chen, Liewen Liao, Mingyang Jiang, Xiang Zuo, Hengrui Zhang, Yuchen Xi, Songan Zhang
2025	—	`conf`	Revisiting Symmetric Teacher-Student Network Distillation for Anomaly Detection. PRCV (6) Qunyi Zhang, Jiaqi Liu, Guoyang Xie, Liewen Liao, Yongming Chen, Xiaoning Lei, Annan Shu, Guannan Jiang, Songan Zhang
2024	C	`conf`	Balanced Training for the End-to-End Autonomous Driving Model Based on Kernel Density Estimation. IV Tong Yao, Wei Yuan, Songan Zhang, Chunxiang Wang
2024	J	`jnl`	CamoTeacher: Dual-Rotation Consistency Learning for Semi-Supervised Camouflaged Object Detection. CoRR Xunfa Lai, Zhiyu Yang, Jie Hu, Shengchuan Zhang, Liujuan Cao, Guannan Jiang, Zhiyu Wang, Songan Zhang, Rongrong Ji
2024	—	`conf`	CamoTeacher: Dual-Rotation Consistency Learning for Semi-supervised Camouflaged Object Detection. ECCV (45) Xunfa Lai, Zhiyu Yang, Jie Hu, Shengchuan Zhang, Liujuan Cao, Guannan Jiang, Zhiyu Wang, Songan Zhang, Rongrong Ji
2024	J	`jnl`	Choose Your Simulator Wisely: A Review on Open-Source Simulators for Autonomous Driving. IEEE Trans. Intell. Veh. Yueyuan Li, Wei Yuan, Songan Zhang, Weihao Yan, Qiyuan Shen, Chunxiang Wang, Ming Yang
2024	J	`jnl`	Dream to Adapt: Meta Reinforcement Learning by Latent Context Imagination and MDP Imagination. IEEE Robotics Autom. Lett. Lu Wen, Eric H. Tseng, Huei Peng, Songan Zhang
2024	J	`jnl`	End-to-end Driving in High-Interaction Traffic Scenarios with Reinforcement Learning. CoRR Yueyuan Li, Mingyang Jiang, Songan Zhang, Wei Yuan, Chunxiang Wang, Ming Yang
2024	J	`jnl`	HOPE: A Reinforcement Learning-based Hybrid Policy Path Planner for Diverse Parking Scenarios. CoRR Mingyang Jiang, Yueyuan Li, Songan Zhang, Chunxiang Wang, Ming Yang
2024	J	`jnl`	Leverage Knowledge Graph and Large Language Model for Law Article Recommendation: A Case Study of Chinese Criminal Law. CoRR Yongming Chen, Miner Chen, Ye Zhu, Juan Pei, Siyu Chen, Yu Zhou, Yi Wang, Yifan Zhou, Hao Li, Songan Zhang
2024	C	`conf`	Pix2Planning: End-to-End Planning by Vision-language Model for Autonomous Driving on Carla Simulator. IV Xiangru Mu, Tong Qin, Songan Zhang, Chunjing Xu, Ming Yang
2024	A*	`conf`	Prompting to Adapt Foundational Segmentation Models. ACM Multimedia Jie Hu, Jie Li, Yue Ma, Liujuan Cao, Songan Zhang, Wei Zhang, Guannan Jiang, Rongrong Ji
2024	J	`jnl`	Rethinking 3D Dense Caption and Visual Grounding in A Unified Framework through Prompt-based Localization. CoRR Yongdong Luo, Haojia Lin, Xiawu Zheng, Yigeng Jiang, Fei Chao, Jie Hu, Guannan Jiang, Songan Zhang, Rongrong Ji
2024	J	`jnl`	Tactics2D: A Highly Modular and Extensible Simulator for Driving Decision-Making. IEEE Trans. Intell. Veh. Yueyuan Li, Songan Zhang, Mingyang Jiang, Xingyuan Chen, Jing Yang, Yeqiang Qian, Chunxiang Wang, Ming Yang
2023	C	`conf`	A Hybrid Partitioning Strategy for Backward Reachability of Neural Feedback Loops. ACC Nicholas Rober, Michael Everett, Songan Zhang, Jonathan P. How
2023	J	`jnl`	Dream to Adapt: Meta Reinforcement Learning by Latent Context Imagination and MDP Imagination. CoRR Lu Wen, Songan Zhang, H. Eric Tseng, Huei Peng
2023	J	`jnl`	Interpretable Reinforcement Learning for Robotics and Continuous Control. CoRR 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
2023	A*	`conf`	Robust Multi-Agent Reinforcement Learning via Adversarial Regularization: Theoretical Foundation and Stable Algorithms. NeurIPS Alexander Bukharin, Yan Li, Yue Yu, Qingru Zhang, Zhehui Chen, Simiao Zuo, Chao Zhang, Songan Zhang, Tuo Zhao
2023	J	`jnl`	Robust Multi-Agent Reinforcement Learning via Adversarial Regularization: Theoretical Foundation and Stable Algorithms. CoRR Alexander Bukharin, Yan Li, Yue Yu, Qingru Zhang, Zhehui Chen, Simiao Zuo, Chao Zhang, Songan Zhang, Tuo Zhao
2023	J	`jnl`	Tactics2D: A Multi-agent Reinforcement Learning Environment for Driving Decision-making. CoRR Yueyuan Li, Songan Zhang, Mingyang Jiang, Xingyuan Chen, Ming Yang
2023	J	`jnl`	Three-Dimensional Information Modeling Based on Incomplete Data for Anchor Engineering. IEEE Access Songan Zhang, Wei Hu, Liang Zeng, Junjie Yang, Yusen Zhong, Zhen Liu, Cuiying Zhou
2022	J	`jnl`	A Hybrid Partitioning Strategy for Backward Reachability of Neural Feedback Loops. CoRR Nicholas Rober, Michael Everett, Songan Zhang, Jonathan P. How
2022	J	`jnl`	Comprehensive Safety Evaluation of Highly Automated Vehicles at the Roundabout Scenario. IEEE Trans. Intell. Transp. Syst. Xinpeng Wang, Songan Zhang, Huei Peng
2022	A	`conf`	Improved Robustness and Safety for Pre-Adaptation of Meta Reinforcement Learning with Prior Regularization. IROS Lu Wen, Songan Zhang, H. Eric Tseng, Baljeet Singh, Dimitar P. Filev, Huei Peng
2021	—	`conf`	An Interaction-aware Evaluation Method for Highly Automated Vehicles. ITSC Xinpeng Wang, Huei Peng, Songan Zhang, Kuan-Hui Lee
2021	J	`jnl`	An Interaction-aware Evaluation Method for Highly Automated Vehicles. CoRR Xinpeng Wang, Songan Zhang, Kuan-Hui Lee, Huei Peng
2021	A	`conf`	Monocular 3D Vehicle Detection Using Uncalibrated Traffic Cameras through Homography. IROS Minghan Zhu, Songan Zhang, Yuanxin Zhong, Pingping Lu, Huei Peng, John Lenneman
2021	J	`jnl`	Monocular 3D Vehicle Detection Using Uncalibrated Traffic Cameras through Homography. CoRR Minghan Zhu, Songan Zhang, Yuanxin Zhong, Pingping Lu, Huei Peng, John Lenneman
2021	J	`jnl`	Prior Is All You Need to Improve the Robustness and Safety for the First Time Deployment of Meta RL. CoRR Lu Wen, Songan Zhang, H. Eric Tseng, Baljeet Singh, Dimitar P. Filev, Huei Peng
2021	—	`conf`	Quick Learner Automated Vehicle Adapting its Roadmanship to Varying Traffic Cultures with Meta Reinforcement Learning. ITSC Songan Zhang, Lu Wen, Huei Peng, H. Eric Tseng
2021	J	`jnl`	Quick Learner Automated Vehicle Adapting its Roadmanship to Varying Traffic Cultures with Meta Reinforcement Learning. CoRR Songan Zhang, Lu Wen, Huei Peng, H. Eric Tseng
2020	J	`jnl`	Developing Robot Driver Etiquette Based on Naturalistic Human Driving Behavior. IEEE Trans. Intell. Transp. Syst. Xianan Huang, Songan Zhang, Huei Peng
2020	J	`jnl`	Driving-Policy Adaptive Safeguard for Autonomous Vehicles Using Reinforcement Learning. CoRR Zhong Cao, Shaobing Xu, Songan Zhang, Huei Peng, Diange Yang
2020	—	`conf`	Generating Socially Acceptable Perturbations for Efficient Evaluation of Autonomous Vehicles. CVPR Workshops Songan Zhang, Huei Peng, Subramanya Nageshrao, H. Eric Tseng
2020	J	`jnl`	Generating Socially Acceptable Perturbations for Efficient Evaluation of Autonomous Vehicles. CoRR Songan Zhang, Huei Peng, Subramanya Nageshrao, H. Eric Tseng
2019	C	`conf`	Discretionary Lane Change Decision Making using Reinforcement Learning with Model-Based Exploration. ICMLA Songan Zhang, Huei Peng, Subramanya Nageshrao, H. Eric Tseng
2018	—	`conf`	Accelerated Evaluation of Autonomous Vehicles in the Lane Change Scenario Based on Subset Simulation Technique. ITSC Songan Zhang, Huei Peng, Ding Zhao, H. Eric Tseng
2018	J	`jnl`	Developing Robot Driver Etiquette Based on Naturalistic Human Driving Behavior. CoRR Xianan Huang, Songan Zhang, Huei Peng