Qichao Zhang - RankMe

124 papers A* 7A 3B 14C 1Journal 83Unranked 16

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	DreamerAD: Efficient Reinforcement Learning via Latent World Model for Autonomous Driving. CoRR Pengxuan Yang, Yupeng Zheng, Deheng Qian, Zebin Xing, Qichao Zhang, Linbo Wang, Yichen Zhang, Shaoyu Guo, Zhongpu Xia, Qiang Chen, Junyu Han, Lingyun Xu, Yifeng Pan, Dongbin Zhao
2026	J	`jnl`	Dynamic Dual-Granularity Skill Bank for Agentic RL. CoRR Songjun Tu, Chengdong Xu, Qichao Zhang, Yaocheng Zhang, Xiangyuan Lan, Linjing Li, Dongbin Zhao
2026	J	`jnl`	Latent-WAM: Latent World Action Modeling for End-to-End Autonomous Driving. CoRR Linbo Wang, Yupeng Zheng, Qiang Chen, Shiwei Li, Yichen Zhang, Zebin Xing, Qichao Zhang, Xiang Li, Deheng Qian, Pengxuan Yang, Yihang Dong, Ce Hao, Xiaoqing Ye, Junyu Han, Yifeng Pan, Dongbin Zhao
2026	J	`jnl`	Learning Rollout from Sampling: An R1-Style Tokenized Traffic Simulation Model. IEEE Robotics Autom. Lett. Ziyan Wang, Peng Chen, Ding Li, Chiwei Li, Qichao Zhang, Zhongpu Xia, Guizhen Yu
2026	J	`jnl`	Learning Rollout from Sampling:An R1-Style Tokenized Traffic Simulation Model. CoRR Ziyan Wang, Peng Chen, Ding Li, Chiwei Li, Qichao Zhang, Zhongpu Xia, Guizhen Yu
2026	J	`jnl`	Learning from Mistakes: Post-Training for Driving VLA with Takeover Data. CoRR Yinfeng Gao, Deqing Liu, Qichao Zhang, Yupeng Zheng, Haochen Tian, Guang Li, Hangjun Ye, Long Chen, Da-Wei Ding, Dongbin Zhao
2026	J	`jnl`	MeanFuser: Fast One-Step Multi-Modal Trajectory Generation and Adaptive Reconstruction via MeanFlow for End-to-End Autonomous Driving. CoRR Junli Wang, Xueyi Liu, Yinan Zheng, Zebing Xing, Pengfei Li, Guang Li, Kun Ma, Guang Chen, Hangjun Ye, Zhongpu Xia, Long Chen, Qichao Zhang
2026	J	`jnl`	Mimir: Hierarchical Goal-Driven Diffusion With Uncertainty Propagation for End-to-End Autonomous Driving. IEEE Robotics Autom. Lett. Zebin Xing, Yupeng Zheng, Qichao Zhang, Zhixing Ding, Pengxuan Yang, Songen Gu, Zhongpu Xia, Dongbin Zhao
2026	J	`jnl`	PaperAudit-Bench: Benchmarking Error Detection in Research Papers for Critical Automated Peer Review. CoRR Songjun Tu, Yiwen Ma, Jiahao Lin, Qichao Zhang, Xiangyuan Lan, Junfeng. Li, Nan Xu, Linjing Li, Dongbin Zhao
2026	J	`jnl`	PerlAD: Towards Enhanced Closed-Loop End-to-End Autonomous Driving With Pseudo-Simulation-Based Reinforcement Learning. IEEE Robotics Autom. Lett. Yinfeng Gao, Qichao Zhang, Deqing Liu, Zhongpu Xia, Guang Li, Kun Ma, Guang Chen, Hangjun Ye, Long Chen, Da-Wei Ding, Dongbin Zhao
2026	J	`jnl`	PerlAD: Towards Enhanced Closed-loop End-to-end Autonomous Driving with Pseudo-simulation-based Reinforcement Learning. CoRR Yinfeng Gao, Qichao Zhang, Deqing Liu, Zhongpu Xia, Guang Li, Kun Ma, Guang Chen, Hangjun Ye, Long Chen, Da-Wei Ding, Dongbin Zhao
2026	J	`jnl`	Spec-o3: A Tool-Augmented Vision-Language Agent for Rare Celestial Object Candidate Vetting via Automated Spectral Inspection. CoRR Minghui Jia, Qichao Zhang, Ali Luo, Linjing Li, Shuo Ye, Hailing Lu, Wen Hou, Dongbin Zhao
2026	J	`jnl`	TakeAD: Preference-Based Post-Optimization for End-to-End Autonomous Driving With Expert Takeover Data. IEEE Robotics Autom. Lett. Deqing Liu, Yinfeng Gao, Deheng Qian, Qichao Zhang, Xiaoqing Ye, Junyu Han, Yupeng Zheng, Xueyi Liu, Zhongpu Xia, Dawei Ding, Yifeng Pan, Dongbin Zhao
2026	A*	`conf`	WorldRFT: Latent World Model Planning with Reinforcement Fine-Tuning for Autonomous Driving. AAAI Pengxuan Yang, Ben Lu, Zhongpu Xia, Chao Han, Yinfeng Gao, Teng Zhang, Kun Zhan, Xianpeng Lang, Yupeng Zheng, Qichao Zhang
2025	A	`conf`	Consistency Policy with Categorical Critic for Autonomous Driving. AAMAS Xing Fang, Qichao Zhang, Haoran Li, Dongbin Zhao
2025	J	`jnl`	CriticSearch: Fine-Grained Credit Assignment for Search Agents via a Retrospective Critic. CoRR Yaocheng Zhang, Haohuan Huang, Zijun Song, Yuanheng Zhu, Qichao Zhang, Zijie Zhao, Dongbin Zhao
2025	—	`conf`	DeltaDiff: Reality-Driven Diffusion with Anchor Residuals for Faithful SR. ICIC (2) Chao Yang, Yong Fan, Qichao Zhang, Cheng Lu, Zhijing Yang
2025	J	`jnl`	Dream to Drive with Predictive Individual World Model. CoRR Yinfeng Gao, Qichao Zhang, Dawei Ding, Dongbin Zhao
2025	J	`jnl`	Enhancing LLM Reasoning with Iterative DPO: A Comprehensive Empirical Investigation. CoRR Songjun Tu, Jiahao Lin, Xiangyu Tian, Qichao Zhang, Linjing Li, Yuqian Fu, Nan Xu, Wei He, Xiangyuan Lan, Dongmei Jiang, Dongbin Zhao
2025	B	`conf`	FusionNav: Enhancing Zero-Shot Object-Goal Navigation via 3D Semantic Fusion and Farsight Value Reasoning. SMC Shugao Liu, Qichao Zhang, Haoran Li, Dongbin Zhao
2025	J	`jnl`	IP3: Integrated Path-Guided Prediction and Planning for Safe Autonomous Driving. IEEE Trans. Veh. Technol. Ding Li, Qichao Zhang, Dongfang Yang, Zhi Wang, Fan Ren, Dongbin Zhao
2025	A*	`conf`	In-Dataset Trajectory Return Regularization for Offline Preference-based Reinforcement Learning. AAAI Songjun Tu, Jingbo Sun, Qichao Zhang, Yaocheng Zhang, Jia Liu, Ke Chen, Dongbin Zhao
2025	J	`jnl`	Learning When to Think: Shaping Adaptive Reasoning in R1-Style Models via Multi-Stage RL. CoRR Songjun Tu, Jiahao Lin, Qichao Zhang, Xiangyu Tian, Linjing Li, Xiangyuan Lan, Dongbin Zhao
2025	J	`jnl`	Mimir: Hierarchical Goal-Driven Diffusion with Uncertainty Propagation for End-to-End Autonomous Driving. CoRR Zebin Xing, Yupeng Zheng, Qichao Zhang, Zhixing Ding, Pengxuan Yang, Songen Gu, Zhongpu Xia, Dongbin Zhao
2025	A	`conf`	Online Preference-based Reinforcement Learning with Self-augmented Feedback from Large Language Model. AAMAS Songjun Tu, Jingbo Sun, Qichao Zhang, Xiangyuan Lan, Dongbin Zhao
2025	J	`jnl`	Perception-Consistency Multimodal Large Language Models Reasoning via Caption-Regularized Policy Optimization. CoRR Songjun Tu, Qichao Zhang, Jingbo Sun, Yuqian Fu, Linjing Li, Xiangyuan Lan, Dongmei Jiang, Yaowei Wang, Dongbin Zhao
2025	J	`jnl`	Perceptual Uncertainty-Aware Motion Planning for Autonomous Driving Based on Adaptive Heuristic Reinforcement Learning. IEEE Trans. Intell. Transp. Syst. Chuan Hu, Baiyu Du, Zhidong Wang, Qichao Zhang, Ronghui Zhang, Hongbo Gao
2025	A*	`conf`	RLAE: Reinforcement Learning-Assisted Ensemble for LLMs. EMNLP Yuqian Fu, Yuanheng Zhu, Jiajun Chai, Guojun Yin, Wei Lin, Qichao Zhang, Dongbin Zhao
2025	J	`jnl`	RLAE: Reinforcement Learning-Assisted Ensemble for LLMs. CoRR Yuqian Fu, Yuanheng Zhu, Jiajun Chai, Guojun Yin, Wei Lin, Qichao Zhang, Dongbin Zhao
2025	J	`jnl`	ReasonPlan: Unified Scene Prediction and Decision Reasoning for Closed-loop Autonomous Driving. CoRR Xueyi Liu, Zuodong Zhong, Yuxin Guo, Yun-Fu Liu, Zhiguo Su, Qichao Zhang, Junli Wang, Yinfeng Gao, Yupeng Zheng, Qiao Lin, Huiyong Chen, Dongbin Zhao
2025	J	`jnl`	Research on the impact of generative artificial intelligence (GenAI) on enterprise innovation performance: a knowledge management perspective. J. Knowl. Manag. Qichao Zhang, Jiaxiang Zuo, Songlin Yang
2025	J	`jnl`	SRFT: A Single-Stage Method with Supervised and Reinforcement Fine-Tuning for Reasoning. CoRR Yuqian Fu, Tinghong Chen, Jiajun Chai, Xihuai Wang, Songjun Tu, Guojun Yin, Wei Lin, Qichao Zhang, Yuanheng Zhu, Dongbin Zhao
2025	A	`conf`	Salience-Invariant Consistent Policy Learning for Generalization in Visual Reinforcement Learning. AAMAS Jingbo Sun, Songjun Tu, Qichao Zhang, Ke Chen, Dongbin Zhao
2025	J	`jnl`	Salience-Invariant Consistent Policy Learning for Generalization in Visual Reinforcement Learning. CoRR Jingbo Sun, Songjun Tu, Qichao Zhang, Ke Chen, Dongbin Zhao
2025	J	`jnl`	TakeAD: Preference-based Post-optimization for End-to-end Autonomous Driving with Expert Takeover Data. CoRR Deqing Liu, Yinfeng Gao, Deheng Qian, Qichao Zhang, Xiaoqing Ye, Junyu Han, Yupeng Zheng, Xueyi Liu, Zhongpu Xia, Dawei Ding, Yifeng Pan, Dongbin Zhao
2025	J	`jnl`	TrajMoE: Scene-Adaptive Trajectory Planning with Mixture of Experts and Reinforcement Learning. CoRR Zebin Xing, Pengxuan Yang, Linbo Wang, Yichen Zhang, Yiming Hu, Yupeng Zheng, Junli Wang, Yinfeng Gao, Guang Li, Kun Ma, Long Chen, Zhongpu Xia, Qichao Zhang, Hangjun Ye, Dongbin Zhao
2025	A*	`conf`	UncAD: Towards Safe End-to-end Autonomous Driving via Online Map Uncertainty. ICRA Pengxuan Yang, Yupeng Zheng, Qichao Zhang, Kefei Zhu, Zebin Xing, Qiao Lin, Yun-Fu Liu, Zhiguo Su, Dongbin Zhao
2025	J	`jnl`	UncAD: Towards Safe End-to-end Autonomous Driving via Online Map Uncertainty. CoRR Pengxuan Yang, Yupeng Zheng, Qichao Zhang, Kefei Zhu, Zebin Xing, Qiao Lin, Yun-Fu Liu, Zhiguo Su, Dongbin Zhao
2025	A*	`conf`	Unsupervised Zero-Shot Reinforcement Learning via Dual-Value Forward-Backward Representation. ICLR Jingbo Sun, Songjun Tu, Qichao Zhang, Haoran Li, Xin Liu, Yaran Chen, Ke Chen, Dongbin Zhao
2025	J	`jnl`	World4Drive: End-to-End Autonomous Driving via Intention-aware Physical Latent World Model. CoRR Yupeng Zheng, Pengxuan Yang, Zebin Xing, Qichao Zhang, Yuhang Zheng, Yinfeng Gao, Pengfei Li, Teng Zhang, Zhongpu Xia, Peng Jia, Dongbin Zhao
2025	J	`jnl`	WorldRFT: Latent World Model Planning with Reinforcement Fine-Tuning for Autonomous Driving. CoRR Pengxuan Yang, Ben Lu, Zhongpu Xia, Chao Han, Yinfeng Gao, Teng Zhang, Kun Zhan, Xianpeng Lang, Yupeng Zheng, Qichao Zhang
2024	J	`jnl`	Analysis of Multi-GNSS Multipath for Parameter-Unified Autocorrelation-Based Mitigation and the Impact of Constellation Shifts. Remote. Sens. Wenhao Xiong, Yumiao Tian, Xiaolei Dai, Qichao Zhang, Yibing Liang, Xiongwei Ruan
2024	J	`jnl`	Conditional Goal-Oriented Trajectory Prediction for Interacting Vehicles. IEEE Trans. Neural Networks Learn. Syst. Ding Li, Qichao Zhang, Shuai Lu, Yifeng Pan, Dongbin Zhao
2024	J	`jnl`	Deep-Reinforcement-Learning-Based Driving Policy at Intersections Utilizing Lane Graph Networks. IEEE Trans. Cogn. Dev. Syst. Yuqi Liu, Qichao Zhang, Yinfeng Gao, Dongbin Zhao
2024	J	`jnl`	Dream to Drive With Predictive Individual World Model. IEEE Trans. Intell. Veh. Yinfeng Gao, Qichao Zhang, Dawei Ding, Dongbin Zhao
2024	J	`jnl`	Dynamic-Horizon Model-Based Value Estimation With Latent Imagination. IEEE Trans. Neural Networks Learn. Syst. Junjie Wang, Qichao Zhang, Dongbin Zhao
2024	B	`conf`	High-quality Synthetic Data is Efficient for Model-based Offline Reinforcement Learning. IJCNN Qichao Zhang, Xing Fang, Kaixuan Xu, Weixin Zhao, Haoran Li, Dongbin Zhao
2024	J	`jnl`	In-Dataset Trajectory Return Regularization for Offline Preference-based Reinforcement Learning. CoRR Songjun Tu, Jingbo Sun, Qichao Zhang, Yaocheng Zhang, Jia Liu, Ke Chen, Dongbin Zhao
2024	A*	`conf`	MonoOcc: Digging into Monocular Semantic Occupancy Prediction. ICRA Yupeng Zheng, Xiang Li, Pengfei Li, Yuhang Zheng, Bu Jin, Chengliang Zhong, Xiaoxiao Long, Hao Zhao, Qichao Zhang
2024	J	`jnl`	MonoOcc: Digging into Monocular Semantic Occupancy Prediction. CoRR Yupeng Zheng, Xiang Li, Pengfei Li, Yuhang Zheng, Bu Jin, Chengliang Zhong, Xiaoxiao Long, Hao Zhao, Qichao Zhang
2024	J	`jnl`	Online Preference-based Reinforcement Learning with Self-augmented Feedback from Large Language Model. CoRR Songjun Tu, Jingbo Sun, Qichao Zhang, Xiangyuan Lan, Dongbin Zhao
2024	J	`jnl`	PlanAgent: A Multi-modal Large Language Agent for Closed-loop Vehicle Motion Planning. CoRR Yupeng Zheng, Zebin Xing, Qichao Zhang, Bu Jin, Pengfei Li, Yuhang Zheng, Zhongpu Xia, Kun Zhan, Xianpeng Lang, Yaran Chen, Dongbin Zhao
2024	J	`jnl`	Planning-Inspired Hierarchical Trajectory Prediction via Lateral-Longitudinal Decomposition for Autonomous Driving. IEEE Trans. Intell. Veh. Ding Li, Qichao Zhang, Zhongpu Xia, Yupeng Zheng, Kuan Zhang, Menglong Yi, Wenda Jin, Dongbin Zhao
2024	J	`jnl`	Preliminary Investigation into Data Scaling Laws for Imitation Learning-Based End-to-End Autonomous Driving. CoRR Yupeng Zheng, Zhongpu Xia, Qichao Zhang, Teng Zhang, Ben Lu, Xiaochuang Huo, Chao Han, Yixian Li, Mengjie Yu, Bu Jin, Pengxuan Yang, Yuhang Zheng, Haifeng Yuan, Ke Jiang, Peng Jia, Xianpeng Lang, Dongbin Zhao
2024	J	`jnl`	Prototypical Context-Aware Dynamics for Generalization in Visual Control With Model-Based Reinforcement Learning. IEEE Trans. Ind. Informatics Junjie Wang, Qichao Zhang, Yao Mu, Dong Li, Dongbin Zhao, Yuzheng Zhuang, Ping Luo, Bin Wang, Jianye Hao
2024	—	`conf`	User Response Modeling in Reinforcement Learning for Ads Allocation. WWW (Companion Volume) Zhiyuan Zhang, Qichao Zhang, Xiaoxu Wu, Xiaowen Shi, Guogang Liao, Yongkang Wang, Xingxing Wang, Dongbin Zhao
2023	J	`jnl`	An Improved Carrier-Smoothing Code Algorithm for BDS Satellites with SICB. Remote. Sens. Qichao Zhang, Xiaping Ma, Yuting Gao, Gongwen Huang, Qingzhi Zhao
2023	J	`jnl`	Multi-task safe reinforcement learning for navigating intersections in dense traffic. J. Frankl. Inst. Yuqi Liu, Yinfeng Gao, Qichao Zhang, Dawei Ding, Dongbin Zhao
2023	J	`jnl`	Planning-inspired Hierarchical Trajectory Prediction for Autonomous Driving. CoRR Ding Li, Qichao Zhang, Zhongpu Xia, Kuan Zhang, Menglong Yi, Wenda Jin, Dongbin Zhao
2023	—	`conf`	PnP: Integrated Prediction and Planning for Interactive Lane Change in Dense Traffic. ICONIP (6) Xueyi Liu, Qichao Zhang, Yinfeng Gao, Zhongpu Xia
2023	A*	`conf`	STEPS: Joint Self-supervised Nighttime Image Enhancement and Depth Estimation. ICRA Yupeng Zheng, Chengliang Zhong, Pengfei Li, Huan-ang Gao, Yuhang Zheng, Bu Jin, Ling Wang, Hao Zhao, Guyue Zhou, Qichao Zhang, Dongbin Zhao
2023	J	`jnl`	STEPS: Joint Self-supervised Nighttime Image Enhancement and Depth Estimation. CoRR Yupeng Zheng, Chengliang Zhong, Pengfei Li, Huan-ang Gao, Yuhang Zheng, Bu Jin, Ling Wang, Hao Zhao, Guyue Zhou, Qichao Zhang, Dongbin Zhao
2022	J	`jnl`	BiFNet: Bidirectional Fusion Network for Road Segmentation. IEEE Trans. Cybern. Haoran Li, Yaran Chen, Qichao Zhang, Dongbin Zhao
2022	J	`jnl`	Conditional Goal-oriented Trajectory Prediction for Interacting Vehicles with Vectorized Representation. CoRR Ding Li, Qichao Zhang, Shuai Lu, Yifeng Pan, Dongbin Zhao
2022	—	`conf`	GAP: Goal-Aware Prediction with Hierarchical Interactive Representation for Vehicle Trajectory. DMBD (1) Ding Li, Qichao Zhang, Shuai Lu, Yifeng Pan, Dongbin Zhao
2022	J	`jnl`	Guest Editorial on "Computational intelligence in analysis and integration of complex systems". Complex Intell. Syst. Bo Zhao, Wenyi Zeng, Weinan Gao, Qichao Zhang
2022	J	`jnl`	Highway Lane Change Decision-Making via Attention-Based Deep Reinforcement Learning. IEEE CAA J. Autom. Sinica Junjie Wang, Qichao Zhang, Dongbin Zhao
2022	J	`jnl`	Multi-task Safe Reinforcement Learning for Navigating Intersections in Dense Traffic. CoRR Yuqi Liu, Qichao Zhang, Dongbin Zhao
2022	—	`conf`	Offline Reinforcement Learning for Autonomous Driving with Real World Driving Data. ITSC Xing Fang, Qichao Zhang, Yinfeng Gao, Dongbin Zhao
2022	J	`jnl`	Prototypical context-aware dynamics generalization for high-dimensional model-based reinforcement learning. CoRR Junjie Wang, Yao Mu, Dong Li, Qichao Zhang, Dongbin Zhao, Yuzheng Zhuang, Ping Luo, Bin Wang, Jianye Hao
2022	J	`jnl`	Sparse online kernelized actor-critic Learning in reproducing kernel Hilbert space. Artif. Intell. Rev. Yongliang Yang, Hufei Zhu, Qichao Zhang, Bo Zhao, Zhenning Li, Donald C. Wunsch
2022	J	`jnl`	TrajGen: Generating Realistic and Diverse Trajectories With Reactive and Feasible Agent Behaviors for Autonomous Driving. IEEE Trans. Intell. Transp. Syst. Qichao Zhang, Yinfeng Gao, Yikang Zhang, Youtian Guo, Dawei Ding, Yunpeng Wang, Peng Sun, Dongbin Zhao
2022	J	`jnl`	TrajGen: Generating Realistic and Diverse Trajectories with Reactive and Feasible Agent Behaviors for Autonomous Driving. CoRR Qichao Zhang, Yinfeng Gao, Yikang Zhang, Youtian Guo, Dawei Ding, Yunpeng Wang, Peng Sun, Dongbin Zhao
2021	—	`conf`	A Reinforcement Learning Benchmark for Autonomous Driving in Intersection Scenarios. SSCI Yuqi Liu, Qichao Zhang, Dongbin Zhao
2021	J	`jnl`	A Reinforcement Learning Benchmark for Autonomous Driving in Intersection Scenarios. CoRR Yuqi Liu, Qichao Zhang, Dongbin Zhao
2021	—	`conf`	Benchmarking Lane-changing Decision-making for Deep Reinforcement Learning. ICRAI Junjie Wang, Qichao Zhang, Dongbin Zhao
2021	J	`jnl`	Benchmarking Lane-changing Decision-making for Deep Reinforcement Learning. CoRR Junjie Wang, Qichao Zhang, Dongbin Zhao
2021	B	`conf`	Hierarchical Reinforcement Learning-Based Policy Switching Towards Multi-Scenarios Autonomous Driving. IJCNN Youtian Guo, Qichao Zhang, Junjie Wang, Shasha Liu
2021	B	`conf`	IA-CNN: A generalised interpretable convolutional neural network with attention mechanism. IJCNN Zhisong Zhang, Yaran Chen, Haoran Li, Qichao Zhang
2021	J	`jnl`	MORSE-STF: A Privacy Preserving Computation System. CoRR Qizhi Zhang, Yuan Zhao, Lichun Li, JiaoFu Zhang, Qichao Zhang, Yashun Zhou, Dong Yin, Sijun Tan, Shan Yin
2021	—	`conf`	Vehicle Trajectory Prediction Based on Graph Attention Network. ICCSIP Zhuolei Chaochen, Qichao Zhang, Ding Li, Haoran Li, Zhonghua Pang
2020	J	`jnl`	BiFNet: Bidirectional Fusion Network for Road Segmentation. CoRR Haoran Li, Yaran Chen, Qichao Zhang, Dongbin Zhao
2020	J	`jnl`	Blockchain-Based Cache Poisoning Security Protection and Privacy-Aware Access Control in NDN Vehicular Edge Computing Networks. J. Grid Comput. Kai Lei, Junjie Fang, Qichao Zhang, Junjun Lou, Maoyu Du, Jiyue Huang, Jianping Wang, Kuai Xu
2020	J	`jnl`	Deep Reinforcement Learning based Automatic Exploration for Navigation in Unknown Environment. CoRR Haoran Li, Qichao Zhang, Dongbin Zhao
2020	J	`jnl`	Deep Reinforcement Learning-Based Automatic Exploration for Navigation in Unknown Environment. IEEE Trans. Neural Networks Learn. Syst. Haoran Li, Qichao Zhang, Dongbin Zhao
2020	J	`jnl`	Dynamic Horizon Value Estimation for Model-based Reinforcement Learning. CoRR Junjie Wang, Qichao Zhang, Dongbin Zhao, Mengchen Zhao, Jianye Hao
2020	J	`jnl`	Hierarchical optimal control for input-affine nonlinear systems through the formulation of Stackelberg game. Inf. Sci. Chaoxu Mu, Ke Wang, Qichao Zhang, Dongbin Zhao
2020	B	`conf`	RailNet: An Information Aggregation Network for Rail Track Segmentation. IJCNN Haoran Li, Qichao Zhang, Dongbin Zhao, Yaran Chen
2020	J	`jnl`	Revocable ciphertext-policy attribute-based encryption in data outsourcing systems from lattices. Int. J. Embed. Syst. Xixi Yan, Chaochao Yang, Qichao Zhang, Jinxia Yu
2020	J	`jnl`	Traceable and Weighted Attribute-Based Encryption Scheme in the Cloud Environment. IEEE Access Xixi Yan, Xiaohan Yuan, Qichao Zhang, Yongli Tang
2019	—	`conf`	Cluster Synchronization of Nonlinearly Coupled Directed Network via Pinning Control Strategy. ICCA Tao Ren, Georgi M. Dimirovski, Simiao Liu, Qichao Zhang
2019	J	`jnl`	Data-Based Reinforcement Learning for Nonzero-Sum Games With Unknown Drift Dynamics. IEEE Trans. Cybern. Qichao Zhang, Dongbin Zhao
2019	J	`jnl`	Graph Attention Memory for Visual Navigation. CoRR Dong Li, Dongbin Zhao, Qichao Zhang, Yuzheng Zhuang, Bin Wang
2019	B	`conf`	Lane Change Decision-making through Deep Reinforcement Learning with Rule-based Constraints. IJCNN Junjie Wang, Qichao Zhang, Dongbin Zhao, Yaran Chen
2019	J	`jnl`	Lane Change Decision-making through Deep Reinforcement Learning with Rule-based Constraints. CoRR Junjie Wang, Qichao Zhang, Dongbin Zhao, Yaran Chen
2019	J	`jnl`	Mixing Position Estimation of AIS Mixed Signal Based on Double-Sliding Window Method. IEEE Access Qichao Zhang, Xin Meng, Shexiang Ma, Shanshan Liu
2019	B	`conf`	Model-Free Reinforcement Learning based Lateral Control for Lane Keeping. IJCNN Qichao Zhang, Rui Luo, Dongbin Zhao, Chaomin Luo, Dianwei Qian
2019	J	`jnl`	Reinforcement Learning and Deep Learning Based Lateral Control for Autonomous Driving [Application Notes]. IEEE Comput. Intell. Mag. Dong Li, Dongbin Zhao, Qichao Zhang, Yaran Chen
2019	—	`conf`	Reinforcement Learning based Lane Change Decision-Making with Imaginary Sampling. SSCI Dong Li, Dongbin Zhao, Qichao Zhang
2019	J	`jnl`	Securing ICN-Based UAV Ad Hoc Networks with Blockchain. IEEE Commun. Mag. Kai Lei, Qichao Zhang, Junjun Lou, Bo Bai, Kuai Xu
2018	—	`conf`	An Autonomous Driving Experience Platform with Learning-Based Functions. SSCI Dong Li, Dongbin Zhao, Qichao Zhang, Yuanheng Zhu
2018	—	`conf`	An Efficient Network for Lane Segmentation. ICCSIP (1) Haoran Li, Dongbin Zhao, Yaran Chen, Qichao Zhang
2018	B	`conf`	DeepSign: Deep Learning based Traffic Sign Recognition. IJCNN Dong Li, Dongbin Zhao, Yaran Chen, Qichao Zhang
2018	J	`jnl`	Event-Based Robust Control for Uncertain Nonlinear Systems Using Adaptive Dynamic Programming. IEEE Trans. Neural Networks Learn. Syst. Qichao Zhang, Dongbin Zhao, Ding Wang
2018	B	`conf`	Model-Free Reinforcement Learning for Fully Cooperative Multi-Agent Graphical Games. IJCNN Qichao Zhang, Dongbin Zhao, Frank L. Lewis
2018	J	`jnl`	Multi-task learning for dangerous object detection in autonomous driving. Inf. Sci. Yaran Chen, Dongbin Zhao, Le Lv, Qichao Zhang
2018	J	`jnl`	Policy Iteration for H IEEE Trans. Cybern. Yuanheng Zhu, Dongbin Zhao, Xiong Yang, Qichao Zhang
2018	J	`jnl`	Reinforcement Learning and Deep Learning based Lateral Control for Autonomous Driving. CoRR Dong Li, Dongbin Zhao, Qichao Zhang, Yaran Chen
2018	B	`conf`	Reputation-Based Byzantine Fault-Tolerance for Consortium Blockchain. ICPADS Kai Lei, Qichao Zhang, Limei Xu, Zhuyun Qi
2018	—	`conf`	Value Iteration Algorithm for Optimal Consensus Control of Multi-agent Systems. ICONIP (7) Qichao Zhang, Dongbin Zhao
2018	B	`conf`	Visual Navigation with Actor-Critic Deep Reinforcement Learning. IJCNN Kun Shao, Dongbin Zhao, Yuanheng Zhu, Qichao Zhang
2017	J	`jnl`	Data-driven adaptive dynamic programming for continuous-time fully cooperative games with partially constrained inputs. Neurocomputing Qichao Zhang, Dongbin Zhao, Yuanheng Zhu
2017	J	`jnl`	Event-Triggered H IEEE Trans. Syst. Man Cybern. Syst. Qichao Zhang, Dongbin Zhao, Yuanheng Zhu
2017	—	`conf`	Event-triggered integral reinforcement learning for nonlinear continuous-time systems. SSCI Qichao Zhang, Dongbin Zhao
2017	J	`jnl`	Model-Free Optimal Control Based Intelligent Cruise Control with Hardware-in-the-Loop Demonstration [Research Frontier]. IEEE Comput. Intell. Mag. Dongbin Zhao, Zhongpu Xia, Qichao Zhang
2017	—	`conf`	Off-Policy Reinforcement Learning for Partially Unknown Nonzero-Sum Games. ICONIP (1) Qichao Zhang, Dongbin Zhao, Sibo Zhang
2017	B	`conf`	Policy gradient methods with Gaussian process modelling acceleration. IJCNN Dong Li, Dongbin Zhao, Qichao Zhang, Chaomin Luo
2016	B	`conf`	Convolutional fitted Q iteration for vision-based control problems. IJCNN Dongbin Zhao, Yuanheng Zhu, Le Lv, Yaran Chen, Qichao Zhang
2016	J	`jnl`	Data-Based Adaptive Critic Designs for Nonlinear Robust Optimal Control With Uncertain Dynamics. IEEE Trans. Syst. Man Cybern. Syst. Ding Wang, Derong Liu, Qichao Zhang, Dongbin Zhao
2016	—	`conf`	Event-Triggered Adaptive Dynamic Programming for Uncertain Nonlinear Systems. ICCSIP Qichao Zhang, Dongbin Zhao, Ding Wang
2016	J	`jnl`	Event-based input-constrained nonlinear H∞ state feedback with adaptive critic and neural implementation. Neurocomputing Ding Wang, Chaoxu Mu, Qichao Zhang, Derong Liu
2016	J	`jnl`	Experience Replay for Optimal Control of Nonzero-Sum Game Systems With Unknown Dynamics. IEEE Trans. Cybern. Dongbin Zhao, Qichao Zhang, Ding Wang, Yuanheng Zhu
2016	B	`conf`	Model-free reinforcement learning for nonlinear zero-sum games with simultaneous explorations. IJCNN Qichao Zhang, Dongbin Zhao, Yuanheng Zhu, Xi Chen
2015	C	`conf`	Event-Triggered H ∞ Control for Continuous-Time Nonlinear System. ISNN Dongbin Zhao, Qichao Zhang, Xiangjun Li, Lingda Kong