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Qichao Zhang
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2020 – today
- 2024
- [j28]Yuqi Liu, Qichao Zhang, Yinfeng Gao, Dongbin Zhao:
Deep-Reinforcement-Learning-Based Driving Policy at Intersections Utilizing Lane Graph Networks. IEEE Trans. Cogn. Dev. Syst. 16(5): 1759-1774 (2024) - [j27]Junjie Wang, Qichao Zhang, Yao Mu, Dong Li, Dongbin Zhao, Yuzheng Zhuang, Ping Luo, Bin Wang, Jianye Hao:
Prototypical Context-Aware Dynamics for Generalization in Visual Control With Model-Based Reinforcement Learning. IEEE Trans. Ind. Informatics 20(9): 10717-10727 (2024) - [j26]Ding Li, Qichao Zhang, Zhongpu Xia, Yupeng Zheng, Kuan Zhang, Menglong Yi, Wenda Jin, Dongbin Zhao:
Planning-Inspired Hierarchical Trajectory Prediction via Lateral-Longitudinal Decomposition for Autonomous Driving. IEEE Trans. Intell. Veh. 9(1): 692-703 (2024) - [j25]Junjie Wang, Qichao Zhang, Dongbin Zhao:
Dynamic-Horizon Model-Based Value Estimation With Latent Imagination. IEEE Trans. Neural Networks Learn. Syst. 35(7): 8812-8825 (2024) - [c31]Yupeng Zheng, Xiang Li, Pengfei Li, Yuhang Zheng, Bu Jin, Chengliang Zhong, Xiaoxiao Long, Hao Zhao, Qichao Zhang:
MonoOcc: Digging into Monocular Semantic Occupancy Prediction. ICRA 2024: 18398-18405 - [c30]Qichao Zhang, Xing Fang, Kaixuan Xu, Weixin Zhao, Haoran Li, Dongbin Zhao:
High-quality Synthetic Data is Efficient for Model-based Offline Reinforcement Learning. IJCNN 2024: 1-7 - [c29]Zhiyuan Zhang, Qichao Zhang, Xiaoxu Wu, Xiaowen Shi, Guogang Liao, Yongkang Wang, Xingxing Wang, Dongbin Zhao:
User Response Modeling in Reinforcement Learning for Ads Allocation. WWW (Companion Volume) 2024: 131-140 - [i17]Yupeng Zheng, Xiang Li, Pengfei Li, Yuhang Zheng, Bu Jin, Chengliang Zhong, Xiaoxiao Long, Hao Zhao, Qichao Zhang:
MonoOcc: Digging into Monocular Semantic Occupancy Prediction. CoRR abs/2403.08766 (2024) - [i16]Yupeng Zheng, Zebin Xing, Qichao Zhang, Bu Jin, Pengfei Li, Yuhang Zheng, Zhongpu Xia, Kun Zhan, Xianpeng Lang, Yaran Chen, Dongbin Zhao:
PlanAgent: A Multi-modal Large Language Agent for Closed-loop Vehicle Motion Planning. CoRR abs/2406.01587 (2024) - 2023
- [j24]Yuqi Liu, Yinfeng Gao, Qichao Zhang, Dawei Ding, Dongbin Zhao:
Multi-task safe reinforcement learning for navigating intersections in dense traffic. J. Frankl. Inst. 360(17): 13737-13760 (2023) - [j23]Qichao Zhang, Xiaping Ma, Yuting Gao, Gongwen Huang, Qingzhi Zhao:
An Improved Carrier-Smoothing Code Algorithm for BDS Satellites with SICB. Remote. Sens. 15(21): 5253 (2023) - [c28]Xueyi Liu, Qichao Zhang, Yinfeng Gao, Zhongpu Xia:
PnP: Integrated Prediction and Planning for Interactive Lane Change in Dense Traffic. ICONIP (6) 2023: 303-316 - [c27]Yupeng Zheng, Chengliang Zhong, Pengfei Li, Huan-ang Gao, Yuhang Zheng, Bu Jin, Ling Wang, Hao Zhao, Guyue Zhou, Qichao Zhang, Dongbin Zhao:
STEPS: Joint Self-supervised Nighttime Image Enhancement and Depth Estimation. ICRA 2023: 4916-4923 - [i15]Yupeng Zheng, Chengliang Zhong, Pengfei Li, Huan-ang Gao, Yuhang Zheng, Bu Jin, Ling Wang, Hao Zhao, Guyue Zhou, Qichao Zhang, Dongbin Zhao:
STEPS: Joint Self-supervised Nighttime Image Enhancement and Depth Estimation. CoRR abs/2302.01334 (2023) - [i14]Ding Li, Qichao Zhang, Zhongpu Xia, Kuan Zhang, Menglong Yi, Wenda Jin, Dongbin Zhao:
Planning-inspired Hierarchical Trajectory Prediction for Autonomous Driving. CoRR abs/2304.11295 (2023) - 2022
- [j22]Yongliang Yang, Hufei Zhu, Qichao Zhang, Bo Zhao, Zhenning Li, Donald C. Wunsch:
Sparse online kernelized actor-critic Learning in reproducing kernel Hilbert space. Artif. Intell. Rev. 55(1): 23-58 (2022) - [j21]Junjie Wang, Qichao Zhang, Dongbin Zhao:
Highway Lane Change Decision-Making via Attention-Based Deep Reinforcement Learning. IEEE CAA J. Autom. Sinica 9(3): 567-569 (2022) - [j20]Haoran Li, Yaran Chen, Qichao Zhang, Dongbin Zhao:
BiFNet: Bidirectional Fusion Network for Road Segmentation. IEEE Trans. Cybern. 52(9): 8617-8628 (2022) - [j19]Qichao Zhang, Yinfeng Gao, Yikang Zhang, Youtian Guo, Dawei Ding, Yunpeng Wang, Peng Sun, Dongbin Zhao:
TrajGen: Generating Realistic and Diverse Trajectories With Reactive and Feasible Agent Behaviors for Autonomous Driving. IEEE Trans. Intell. Transp. Syst. 23(12): 24474-24487 (2022) - [c26]Ding Li, Qichao Zhang, Shuai Lu, Yifeng Pan, Dongbin Zhao:
GAP: Goal-Aware Prediction with Hierarchical Interactive Representation for Vehicle Trajectory. DMBD (1) 2022: 305-319 - [c25]Xing Fang, Qichao Zhang, Yinfeng Gao, Dongbin Zhao:
Offline Reinforcement Learning for Autonomous Driving with Real World Driving Data. ITSC 2022: 3417-3422 - [i13]Yuqi Liu, Qichao Zhang, Dongbin Zhao:
Multi-task Safe Reinforcement Learning for Navigating Intersections in Dense Traffic. CoRR abs/2202.09644 (2022) - [i12]Qichao Zhang, Yinfeng Gao, Yikang Zhang, Youtian Guo, Dawei Ding, Yunpeng Wang, Peng Sun, Dongbin Zhao:
TrajGen: Generating Realistic and Diverse Trajectories with Reactive and Feasible Agent Behaviors for Autonomous Driving. CoRR abs/2203.16792 (2022) - [i11]Ding Li, Qichao Zhang, Shuai Lu, Yifeng Pan, Dongbin Zhao:
Conditional Goal-oriented Trajectory Prediction for Interacting Vehicles with Vectorized Representation. CoRR abs/2210.15449 (2022) - [i10]Junjie Wang, Yao Mu, Dong Li, Qichao Zhang, Dongbin Zhao, Yuzheng Zhuang, Ping Luo, Bin Wang, Jianye Hao:
Prototypical context-aware dynamics generalization for high-dimensional model-based reinforcement learning. CoRR abs/2211.12774 (2022) - 2021
- [c24]Zhuolei Chaochen, Qichao Zhang, Ding Li, Haoran Li, Zhonghua Pang:
Vehicle Trajectory Prediction Based on Graph Attention Network. ICCSIP 2021: 427-438 - [c23]Junjie Wang, Qichao Zhang, Dongbin Zhao:
Benchmarking Lane-changing Decision-making for Deep Reinforcement Learning. ICRAI 2021: 26-32 - [c22]Youtian Guo, Qichao Zhang, Junjie Wang, Shasha Liu:
Hierarchical Reinforcement Learning-Based Policy Switching Towards Multi-Scenarios Autonomous Driving. IJCNN 2021: 1-8 - [c21]Zhisong Zhang, Yaran Chen, Haoran Li, Qichao Zhang:
IA-CNN: A generalised interpretable convolutional neural network with attention mechanism. IJCNN 2021: 1-8 - [c20]Yuqi Liu, Qichao Zhang, Dongbin Zhao:
A Reinforcement Learning Benchmark for Autonomous Driving in Intersection Scenarios. SSCI 2021: 1-8 - [i9]Junjie Wang, Qichao Zhang, Dongbin Zhao:
Benchmarking Lane-changing Decision-making for Deep Reinforcement Learning. CoRR abs/2109.10490 (2021) - [i8]Yuqi Liu, Qichao Zhang, Dongbin Zhao:
A Reinforcement Learning Benchmark for Autonomous Driving in Intersection Scenarios. CoRR abs/2109.10557 (2021) - [i7]Qizhi Zhang, Yuan Zhao, Lichun Li, JiaoFu Zhang, Qichao Zhang, Yashun Zhou, Dong Yin, Sijun Tan, Shan Yin:
MORSE-STF: A Privacy Preserving Computation System. CoRR abs/2109.11726 (2021) - 2020
- [j18]Xixi Yan, Xiaohan Yuan, Qichao Zhang, Yongli Tang:
Traceable and Weighted Attribute-Based Encryption Scheme in the Cloud Environment. IEEE Access 8: 38285-38295 (2020) - [j17]Kai Lei, Junjie Fang, Qichao Zhang, Junjun Lou, Maoyu Du, Jiyue Huang, Jianping Wang, Kuai Xu:
Blockchain-Based Cache Poisoning Security Protection and Privacy-Aware Access Control in NDN Vehicular Edge Computing Networks. J. Grid Comput. 18(4): 593-613 (2020) - [j16]Xixi Yan, Chaochao Yang, Qichao Zhang, Jinxia Yu:
Revocable ciphertext-policy attribute-based encryption in data outsourcing systems from lattices. Int. J. Embed. Syst. 13(4): 414-421 (2020) - [j15]Chaoxu Mu, Ke Wang, Qichao Zhang, Dongbin Zhao:
Hierarchical optimal control for input-affine nonlinear systems through the formulation of Stackelberg game. Inf. Sci. 517: 1-17 (2020) - [j14]Haoran Li, Qichao Zhang, Dongbin Zhao:
Deep Reinforcement Learning-Based Automatic Exploration for Navigation in Unknown Environment. IEEE Trans. Neural Networks Learn. Syst. 31(6): 2064-2076 (2020) - [c19]Haoran Li, Qichao Zhang, Dongbin Zhao, Yaran Chen:
RailNet: An Information Aggregation Network for Rail Track Segmentation. IJCNN 2020: 1-7 - [i6]Haoran Li, Yaran Chen, Qichao Zhang, Dongbin Zhao:
BiFNet: Bidirectional Fusion Network for Road Segmentation. CoRR abs/2004.08582 (2020) - [i5]Haoran Li, Qichao Zhang, Dongbin Zhao:
Deep Reinforcement Learning based Automatic Exploration for Navigation in Unknown Environment. CoRR abs/2007.11808 (2020) - [i4]Junjie Wang, Qichao Zhang, Dongbin Zhao, Mengchen Zhao, Jianye Hao:
Dynamic Horizon Value Estimation for Model-based Reinforcement Learning. CoRR abs/2009.09593 (2020)
2010 – 2019
- 2019
- [j13]Qichao Zhang, Xin Meng, Shexiang Ma, Shanshan Liu:
Mixing Position Estimation of AIS Mixed Signal Based on Double-Sliding Window Method. IEEE Access 7: 178953-178960 (2019) - [j12]Dong Li, Dongbin Zhao, Qichao Zhang, Yaran Chen:
Reinforcement Learning and Deep Learning Based Lateral Control for Autonomous Driving [Application Notes]. IEEE Comput. Intell. Mag. 14(2): 83-98 (2019) - [j11]Kai Lei, Qichao Zhang, Junjun Lou, Bo Bai, Kuai Xu:
Securing ICN-Based UAV Ad Hoc Networks with Blockchain. IEEE Commun. Mag. 57(6): 26-32 (2019) - [j10]Qichao Zhang, Dongbin Zhao:
Data-Based Reinforcement Learning for Nonzero-Sum Games With Unknown Drift Dynamics. IEEE Trans. Cybern. 49(8): 2874-2885 (2019) - [c18]Tao Ren, Georgi M. Dimirovski, Simiao Liu, Qichao Zhang:
Cluster Synchronization of Nonlinearly Coupled Directed Network via Pinning Control Strategy. ICCA 2019: 1-8 - [c17]Junjie Wang, Qichao Zhang, Dongbin Zhao, Yaran Chen:
Lane Change Decision-making through Deep Reinforcement Learning with Rule-based Constraints. IJCNN 2019: 1-6 - [c16]Qichao Zhang, Rui Luo, Dongbin Zhao, Chaomin Luo, Dianwei Qian:
Model-Free Reinforcement Learning based Lateral Control for Lane Keeping. IJCNN 2019: 1-7 - [c15]Dong Li, Dongbin Zhao, Qichao Zhang:
Reinforcement Learning based Lane Change Decision-Making with Imaginary Sampling. SSCI 2019: 16-21 - [i3]Junjie Wang, Qichao Zhang, Dongbin Zhao, Yaran Chen:
Lane Change Decision-making through Deep Reinforcement Learning with Rule-based Constraints. CoRR abs/1904.00231 (2019) - [i2]Dong Li, Dongbin Zhao, Qichao Zhang, Yuzheng Zhuang, Bin Wang:
Graph Attention Memory for Visual Navigation. CoRR abs/1905.13315 (2019) - 2018
- [j9]Yaran Chen, Dongbin Zhao, Le Lv, Qichao Zhang:
Multi-task learning for dangerous object detection in autonomous driving. Inf. Sci. 432: 559-571 (2018) - [j8]Yuanheng Zhu, Dongbin Zhao, Xiong Yang, Qichao Zhang:
Policy Iteration for H∞ Optimal Control of Polynomial Nonlinear Systems via Sum of Squares Programming. IEEE Trans. Cybern. 48(2): 500-509 (2018) - [j7]Qichao Zhang, Dongbin Zhao, Ding Wang:
Event-Based Robust Control for Uncertain Nonlinear Systems Using Adaptive Dynamic Programming. IEEE Trans. Neural Networks Learn. Syst. 29(1): 37-50 (2018) - [c14]Haoran Li, Dongbin Zhao, Yaran Chen, Qichao Zhang:
An Efficient Network for Lane Segmentation. ICCSIP (1) 2018: 177-185 - [c13]Qichao Zhang, Dongbin Zhao:
Value Iteration Algorithm for Optimal Consensus Control of Multi-agent Systems. ICONIP (7) 2018: 200-208 - [c12]Kai Lei, Qichao Zhang, Limei Xu, Zhuyun Qi:
Reputation-Based Byzantine Fault-Tolerance for Consortium Blockchain. ICPADS 2018: 604-611 - [c11]Dong Li, Dongbin Zhao, Yaran Chen, Qichao Zhang:
DeepSign: Deep Learning based Traffic Sign Recognition. IJCNN 2018: 1-6 - [c10]Kun Shao, Dongbin Zhao, Yuanheng Zhu, Qichao Zhang:
Visual Navigation with Actor-Critic Deep Reinforcement Learning. IJCNN 2018: 1-6 - [c9]Qichao Zhang, Dongbin Zhao, Frank L. Lewis:
Model-Free Reinforcement Learning for Fully Cooperative Multi-Agent Graphical Games. IJCNN 2018: 1-6 - [c8]Dong Li, Dongbin Zhao, Qichao Zhang, Yuanheng Zhu:
An Autonomous Driving Experience Platform with Learning-Based Functions. SSCI 2018: 1174-1179 - [i1]Dong Li, Dongbin Zhao, Qichao Zhang, Yaran Chen:
Reinforcement Learning and Deep Learning based Lateral Control for Autonomous Driving. CoRR abs/1810.12778 (2018) - 2017
- [j6]Dongbin Zhao, Zhongpu Xia, Qichao Zhang:
Model-Free Optimal Control Based Intelligent Cruise Control with Hardware-in-the-Loop Demonstration [Research Frontier]. IEEE Comput. Intell. Mag. 12(2): 56-69 (2017) - [j5]Qichao Zhang, Dongbin Zhao, Yuanheng Zhu:
Data-driven adaptive dynamic programming for continuous-time fully cooperative games with partially constrained inputs. Neurocomputing 238: 377-386 (2017) - [j4]Qichao Zhang, Dongbin Zhao, Yuanheng Zhu:
Event-Triggered H∞ Control for Continuous-Time Nonlinear System via Concurrent Learning. IEEE Trans. Syst. Man Cybern. Syst. 47(7): 1071-1081 (2017) - [c7]Qichao Zhang, Dongbin Zhao, Sibo Zhang:
Off-Policy Reinforcement Learning for Partially Unknown Nonzero-Sum Games. ICONIP (1) 2017: 822-830 - [c6]Dong Li, Dongbin Zhao, Qichao Zhang, Chaomin Luo:
Policy gradient methods with Gaussian process modelling acceleration. IJCNN 2017: 1774-1779 - [c5]Qichao Zhang, Dongbin Zhao:
Event-triggered integral reinforcement learning for nonlinear continuous-time systems. SSCI 2017: 1-6 - 2016
- [j3]Ding Wang, Chaoxu Mu, Qichao Zhang, Derong Liu:
Event-based input-constrained nonlinear H∞ state feedback with adaptive critic and neural implementation. Neurocomputing 214: 848-856 (2016) - [j2]Dongbin Zhao, Qichao Zhang, Ding Wang, Yuanheng Zhu:
Experience Replay for Optimal Control of Nonzero-Sum Game Systems With Unknown Dynamics. IEEE Trans. Cybern. 46(3): 854-865 (2016) - [j1]Ding Wang, Derong Liu, Qichao Zhang, Dongbin Zhao:
Data-Based Adaptive Critic Designs for Nonlinear Robust Optimal Control With Uncertain Dynamics. IEEE Trans. Syst. Man Cybern. Syst. 46(11): 1544-1555 (2016) - [c4]Qichao Zhang, Dongbin Zhao, Ding Wang:
Event-Triggered Adaptive Dynamic Programming for Uncertain Nonlinear Systems. ICCSIP 2016: 13-26 - [c3]Qichao Zhang, Dongbin Zhao, Yuanheng Zhu, Xi Chen:
Model-free reinforcement learning for nonlinear zero-sum games with simultaneous explorations. IJCNN 2016: 4533-4538 - [c2]Dongbin Zhao, Yuanheng Zhu, Le Lv, Yaran Chen, Qichao Zhang:
Convolutional fitted Q iteration for vision-based control problems. IJCNN 2016: 4539-4544 - 2015
- [c1]Dongbin Zhao, Qichao Zhang, Xiangjun Li, Lingda Kong:
Event-Triggered H ∞ Control for Continuous-Time Nonlinear System. ISNN 2015: 62-70
Coauthor Index
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last updated on 2024-11-07 21:30 CET by the dblp team
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