Qichao Zhang

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 72

Top Topics

Reinforcement Learning

Autonomous Driving

Optimal Control

Top Venues

IEEE Trans. Cybern.

Publications

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 (2024)
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)
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 (2024)
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)
Junjie Wang, Qichao Zhang, Dongbin Zhao
Dynamic-Horizon Model-Based Value Estimation With Latent Imagination. IEEE Trans. Neural Networks Learn. Syst. 35 (7) (2024)
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) (2024)
Ding Li, Qichao Zhang, Zhongpu Xia, Kuan Zhang, Menglong Yi, Wenda Jin, Dongbin Zhao
Planning-inspired Hierarchical Trajectory Prediction for Autonomous Driving. CoRR (2023)
Xueyi Liu, Qichao Zhang, Yinfeng Gao, Zhongpu Xia
PnP: Integrated Prediction and Planning for Interactive Lane Change in Dense Traffic. ICONIP (6) (2023)
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) (2023)
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) (2023)
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)
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 (2023)
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) (2022)
Xing Fang, Qichao Zhang, Yinfeng Gao, Dongbin Zhao
Offline Reinforcement Learning for Autonomous Driving with Real World Driving Data. ITSC (2022)
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 (2022)
Ding Li, Qichao Zhang, Shuai Lu, Yifeng Pan, Dongbin Zhao
GAP: Goal-Aware Prediction with Hierarchical Interactive Representation for Vehicle Trajectory. DMBD (1) (2022)
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 (2022)
Junjie Wang, Qichao Zhang, Dongbin Zhao
Highway Lane Change Decision-Making via Attention-Based Deep Reinforcement Learning. IEEE CAA J. Autom. Sinica 9 (3) (2022)
Ding Li, Qichao Zhang, Shuai Lu, Yifeng Pan, Dongbin Zhao
Conditional Goal-oriented Trajectory Prediction for Interacting Vehicles with Vectorized Representation. CoRR (2022)
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) (2022)
Haoran Li, Yaran Chen, Qichao Zhang, Dongbin Zhao
BiFNet: Bidirectional Fusion Network for Road Segmentation. IEEE Trans. Cybern. 52 (9) (2022)
Yuqi Liu, Qichao Zhang, Dongbin Zhao
Multi-task Safe Reinforcement Learning for Navigating Intersections in Dense Traffic. CoRR (2022)
Junjie Wang, Qichao Zhang, Dongbin Zhao
Benchmarking Lane-changing Decision-making for Deep Reinforcement Learning. ICRAI (2021)
Junjie Wang, Qichao Zhang, Dongbin Zhao
Benchmarking Lane-changing Decision-making for Deep Reinforcement Learning. CoRR (2021)
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 (2021)
Zhuolei Chaochen, Qichao Zhang, Ding Li, Haoran Li, Zhonghua Pang
Vehicle Trajectory Prediction Based on Graph Attention Network. ICCSIP (2021)
Youtian Guo, Qichao Zhang, Junjie Wang, Shasha Liu
Hierarchical Reinforcement Learning-Based Policy Switching Towards Multi-Scenarios Autonomous Driving. IJCNN (2021)
Zhisong Zhang, Yaran Chen, Haoran Li, Qichao Zhang
IA-CNN: A generalised interpretable convolutional neural network with attention mechanism. IJCNN (2021)
Yuqi Liu, Qichao Zhang, Dongbin Zhao
A Reinforcement Learning Benchmark for Autonomous Driving in Intersection Scenarios. SSCI (2021)
Yuqi Liu, Qichao Zhang, Dongbin Zhao
A Reinforcement Learning Benchmark for Autonomous Driving in Intersection Scenarios. CoRR (2021)
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) (2020)
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 (2020)
Haoran Li, Qichao Zhang, Dongbin Zhao, Yaran Chen
RailNet: An Information Aggregation Network for Rail Track Segmentation. IJCNN (2020)
Haoran Li, Yaran Chen, Qichao Zhang, Dongbin Zhao
BiFNet: Bidirectional Fusion Network for Road Segmentation. CoRR (2020)
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) (2020)
Junjie Wang, Qichao Zhang, Dongbin Zhao, Mengchen Zhao, Jianye Hao
Dynamic Horizon Value Estimation for Model-based Reinforcement Learning. CoRR (2020)
Haoran Li, Qichao Zhang, Dongbin Zhao
Deep Reinforcement Learning based Automatic Exploration for Navigation in Unknown Environment. CoRR (2020)
Xixi Yan, Xiaohan Yuan, Qichao Zhang, Yongli Tang
Traceable and Weighted Attribute-Based Encryption Scheme in the Cloud Environment. IEEE Access 8 (2020)
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) (2020)
Dong Li, Dongbin Zhao, Qichao Zhang
Reinforcement Learning based Lane Change Decision-Making with Imaginary Sampling. SSCI (2019)
Junjie Wang, Qichao Zhang, Dongbin Zhao, Yaran Chen
Lane Change Decision-making through Deep Reinforcement Learning with Rule-based Constraints. IJCNN (2019)
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) (2019)
Tao Ren, Georgi M. Dimirovski, Simiao Liu, Qichao Zhang
Cluster Synchronization of Nonlinearly Coupled Directed Network via Pinning Control Strategy. ICCA (2019)
Qichao Zhang, Xin Meng, Shexiang Ma, Shanshan Liu
Mixing Position Estimation of AIS Mixed Signal Based on Double-Sliding Window Method. IEEE Access 7 (2019)
Qichao Zhang, Rui Luo, Dongbin Zhao, Chaomin Luo, Dianwei Qian
Model-Free Reinforcement Learning based Lateral Control for Lane Keeping. IJCNN (2019)
Qichao Zhang, Dongbin Zhao
Data-Based Reinforcement Learning for Nonzero-Sum Games With Unknown Drift Dynamics. IEEE Trans. Cybern. 49 (8) (2019)
Dong Li, Dongbin Zhao, Qichao Zhang, Yuzheng Zhuang, Bin Wang
Graph Attention Memory for Visual Navigation. CoRR (2019)
Kai Lei, Qichao Zhang, Junjun Lou, Bo Bai, Kuai Xu
Securing ICN-Based UAV Ad Hoc Networks with Blockchain. IEEE Commun. Mag. 57 (6) (2019)
Junjie Wang, Qichao Zhang, Dongbin Zhao, Yaran Chen
Lane Change Decision-making through Deep Reinforcement Learning with Rule-based Constraints. CoRR (2019)
Yaran Chen, Dongbin Zhao, Le Lv, Qichao Zhang
Multi-task learning for dangerous object detection in autonomous driving. Inf. Sci. 432 (2018)
Kai Lei, Qichao Zhang, Limei Xu, Zhuyun Qi
Reputation-Based Byzantine Fault-Tolerance for Consortium Blockchain. ICPADS (2018)
Dong Li, Dongbin Zhao, Qichao Zhang, Yaran Chen
Reinforcement Learning and Deep Learning based Lateral Control for Autonomous Driving. CoRR (2018)
Yuanheng Zhu, Dongbin Zhao, Xiong Yang, Qichao Zhang
Optimal Control of Polynomial Nonlinear Systems via Sum of Squares Programming. IEEE Trans. Cybern. 48 (2) (2018)
Qichao Zhang, Dongbin Zhao, Frank L. Lewis
Model-Free Reinforcement Learning for Fully Cooperative Multi-Agent Graphical Games. IJCNN (2018)
Qichao Zhang, Dongbin Zhao
Value Iteration Algorithm for Optimal Consensus Control of Multi-agent Systems. ICONIP (7) (2018)
Dong Li, Dongbin Zhao, Qichao Zhang, Yuanheng Zhu
An Autonomous Driving Experience Platform with Learning-Based Functions. SSCI (2018)
Kun Shao, Dongbin Zhao, Yuanheng Zhu, Qichao Zhang
Visual Navigation with Actor-Critic Deep Reinforcement Learning. IJCNN (2018)
Dong Li, Dongbin Zhao, Yaran Chen, Qichao Zhang
DeepSign: Deep Learning based Traffic Sign Recognition. IJCNN (2018)
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) (2018)
Haoran Li, Dongbin Zhao, Yaran Chen, Qichao Zhang
An Efficient Network for Lane Segmentation. ICCSIP (1) (2018)
Qichao Zhang, Dongbin Zhao
Event-triggered integral reinforcement learning for nonlinear continuous-time systems. SSCI (2017)
Qichao Zhang, Dongbin Zhao, Sibo Zhang
Off-Policy Reinforcement Learning for Partially Unknown Nonzero-Sum Games. ICONIP (1) (2017)
Qichao Zhang, Dongbin Zhao, Yuanheng Zhu
Control for Continuous-Time Nonlinear System via Concurrent Learning. IEEE Trans. Syst. Man Cybern. Syst. 47 (7) (2017)
Qichao Zhang, Dongbin Zhao, Yuanheng Zhu
Data-driven adaptive dynamic programming for continuous-time fully cooperative games with partially constrained inputs. Neurocomputing 238 (2017)
Dong Li, Dongbin Zhao, Qichao Zhang, Chaomin Luo
Policy gradient methods with Gaussian process modelling acceleration. IJCNN (2017)
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) (2017)
Qichao Zhang, Dongbin Zhao, Yuanheng Zhu, Xi Chen
Model-free reinforcement learning for nonlinear zero-sum games with simultaneous explorations. IJCNN (2016)
Qichao Zhang, Dongbin Zhao, Ding Wang
Event-Triggered Adaptive Dynamic Programming for Uncertain Nonlinear Systems. ICCSIP (2016)
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) (2016)
Ding Wang, Chaoxu Mu, Qichao Zhang, Derong Liu
Event-based input-constrained nonlinear H∞ state feedback with adaptive critic and neural implementation. Neurocomputing 214 (2016)
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) (2016)
Dongbin Zhao, Yuanheng Zhu, Le Lv, Yaran Chen, Qichao Zhang
Convolutional fitted Q iteration for vision-based control problems. IJCNN (2016)
Dongbin Zhao, Qichao Zhang, Xiangjun Li, Lingda Kong
Event-Triggered H ∞ Control for Continuous-Time Nonlinear System. ISNN (2015)