Event-Triggered H ∞ Control for Continuous-Time Nonlinear System. - Dongbin Zhao; Qichao Zhang; Xiangjun Li; Lingda Kong (ISNN, 2015)

Event-Triggered Adaptive Dynamic Programming for Uncertain Nonlinear Systems. - Qichao Zhang; Dongbin Zhao; Ding Wang 001 (ICCSIP, 2016)

Model-free reinforcement learning for nonlinear zero-sum games with simultaneous explorations. - Qichao Zhang; Dongbin Zhao; Yuanheng Zhu; Xi Chen (IJCNN, 2016)

Convolutional fitted Q iteration for vision-based control problems. - Dongbin Zhao; Yuanheng Zhu; Le Lv; Yaran Chen; Qichao Zhang (IJCNN, 2016)

Event-based input-constrained nonlinear H∞ state feedback with adaptive critic and neural implementation. - Ding Wang 001; Chaoxu Mu; Qichao Zhang; Derong Liu 001 (Neurocomputing, 2016)

Experience Replay for Optimal Control of Nonzero-Sum Game Systems With Unknown Dynamics. - Dongbin Zhao; Qichao Zhang; Ding Wang 001; Yuanheng Zhu (IEEE Trans. Cybern., 2016)

Data-Based Adaptive Critic Designs for Nonlinear Robust Optimal Control With Uncertain Dynamics. - Ding Wang 001; Derong Liu 001; Qichao Zhang; Dongbin Zhao (IEEE Trans. Syst. Man Cybern. Syst., 2016)

Off-Policy Reinforcement Learning for Partially Unknown Nonzero-Sum Games. - Qichao Zhang; Dongbin Zhao; Sibo Zhang (ICONIP (1), 2017)

Policy gradient methods with Gaussian process modelling acceleration. - Dong Li 016; Dongbin Zhao; Qichao Zhang; Chaomin Luo (IJCNN, 2017)

Event-triggered integral reinforcement learning for nonlinear continuous-time systems. - Qichao Zhang; Dongbin Zhao (SSCI, 2017)

Model-Free Optimal Control Based Intelligent Cruise Control with Hardware-in-the-Loop Demonstration [Research Frontier]. - Dongbin Zhao; Zhongpu Xia; Qichao Zhang (IEEE Comput. Intell. Mag., 2017)

Data-driven adaptive dynamic programming for continuous-time fully cooperative games with partially constrained inputs. - Qichao Zhang; Dongbin Zhao; Yuanheng Zhu (Neurocomputing, 2017)

Event-Triggered H∞ Control for Continuous-Time Nonlinear System via Concurrent Learning. - Qichao Zhang; Dongbin Zhao; Yuanheng Zhu (IEEE Trans. Syst. Man Cybern. Syst., 2017)

An Efficient Network for Lane Segmentation. - Haoran Li 010; Dongbin Zhao; Yaran Chen; Qichao Zhang (ICCSIP (1), 2018)

Value Iteration Algorithm for Optimal Consensus Control of Multi-agent Systems. - Qichao Zhang; Dongbin Zhao (ICONIP (7), 2018)

Reputation-Based Byzantine Fault-Tolerance for Consortium Blockchain. - Kai Lei; Qichao Zhang; Limei Xu; Zhuyun Qi (ICPADS, 2018)

DeepSign: Deep Learning based Traffic Sign Recognition. - Dong Li 016; Dongbin Zhao; Yaran Chen; Qichao Zhang (IJCNN, 2018)

Visual Navigation with Actor-Critic Deep Reinforcement Learning. - Kun Shao; Dongbin Zhao; Yuanheng Zhu; Qichao Zhang (IJCNN, 2018)

Model-Free Reinforcement Learning for Fully Cooperative Multi-Agent Graphical Games. - Qichao Zhang; Dongbin Zhao; Frank L. Lewis (IJCNN, 2018)

An Autonomous Driving Experience Platform with Learning-Based Functions. - Dong Li 016; Dongbin Zhao; Qichao Zhang; Yuanheng Zhu (SSCI, 2018)

Reinforcement Learning and Deep Learning based Lateral Control for Autonomous Driving. - Dong Li 016; Dongbin Zhao; Qichao Zhang; Yaran Chen (CoRR, 2018)

Multi-task learning for dangerous object detection in autonomous driving. - Yaran Chen; Dongbin Zhao; Le Lv; Qichao Zhang (Inf. Sci., 2018)

Policy Iteration for H∞ Optimal Control of Polynomial Nonlinear Systems via Sum of Squares Programming. - Yuanheng Zhu; Dongbin Zhao; Xiong Yang 001; Qichao Zhang (IEEE Trans. Cybern., 2018)

Event-Based Robust Control for Uncertain Nonlinear Systems Using Adaptive Dynamic Programming. - Qichao Zhang; Dongbin Zhao; Ding Wang 001 (IEEE Trans. Neural Networks Learn. Syst., 2018)

Cluster Synchronization of Nonlinearly Coupled Directed Network via Pinning Control Strategy. - Tao Ren 002; Georgi M. Dimirovski; Simiao Liu; Qichao Zhang (ICCA, 2019)

Lane Change Decision-making through Deep Reinforcement Learning with Rule-based Constraints. - Junjie Wang; Qichao Zhang; Dongbin Zhao; Yaran Chen (IJCNN, 2019)

Model-Free Reinforcement Learning based Lateral Control for Lane Keeping. - Qichao Zhang; Rui Luo; Dongbin Zhao; Chaomin Luo; Dianwei Qian (IJCNN, 2019)

Reinforcement Learning based Lane Change Decision-Making with Imaginary Sampling. - Dong Li 016; Dongbin Zhao; Qichao Zhang (SSCI, 2019)

Mixing Position Estimation of AIS Mixed Signal Based on Double-Sliding Window Method. - Qichao Zhang; Xin Meng; Shexiang Ma; Shanshan Liu (IEEE Access, 2019)

Reinforcement Learning and Deep Learning Based Lateral Control for Autonomous Driving [Application Notes]. - Dong Li 016; Dongbin Zhao; Qichao Zhang; Yaran Chen (IEEE Comput. Intell. Mag., 2019)

Securing ICN-Based UAV Ad Hoc Networks with Blockchain. - Kai Lei; Qichao Zhang; Junjun Lou; Bo Bai 001; Kuai Xu (IEEE Commun. Mag., 2019)

Graph Attention Memory for Visual Navigation. - Dong Li 016; Dongbin Zhao; Qichao Zhang; Yuzheng Zhuang; Bin Wang 034 (CoRR, 2019)

Data-Based Reinforcement Learning for Nonzero-Sum Games With Unknown Drift Dynamics. - Qichao Zhang; Dongbin Zhao (IEEE Trans. Cybern., 2019)

RailNet: An Information Aggregation Network for Rail Track Segmentation. - Haoran Li 010; Qichao Zhang; Dongbin Zhao; Yaran Chen (IJCNN, 2020)

Traceable and Weighted Attribute-Based Encryption Scheme in the Cloud Environment. - Xixi Yan; Xiaohan Yuan; Qichao Zhang; Yongli Tang (IEEE Access, 2020)

Dynamic Horizon Value Estimation for Model-based Reinforcement Learning. - Junjie Wang; Qichao Zhang; Dongbin Zhao; Mengchen Zhao; Jianye Hao (CoRR, 2020)

Blockchain-Based Cache Poisoning Security Protection and Privacy-Aware Access Control in NDN Vehicular Edge Computing Networks. - Kai Lei; Junjie Fang; Qichao Zhang; Junjun Lou; Maoyu Du; Jiyue Huang; Jianping Wang; Kuai Xu (J. Grid Comput., 2020)

Revocable ciphertext-policy attribute-based encryption in data outsourcing systems from lattices. - Xixi Yan; Chaochao Yang; Qichao Zhang; Jinxia Yu (Int. J. Embed. Syst., 2020)

Hierarchical optimal control for input-affine nonlinear systems through the formulation of Stackelberg game. - Chaoxu Mu; Ke Wang 037; Qichao Zhang; Dongbin Zhao (Inf. Sci., 2020)

Deep Reinforcement Learning-Based Automatic Exploration for Navigation in Unknown Environment. - Haoran Li 010; Qichao Zhang; Dongbin Zhao (IEEE Trans. Neural Networks Learn. Syst., 2020)

Vehicle Trajectory Prediction Based on Graph Attention Network. - Zhuolei Chaochen; Qichao Zhang; Ding Li; Haoran Li 010; Zhonghua Pang (ICCSIP, 2021)

Benchmarking Lane-changing Decision-making for Deep Reinforcement Learning. - Junjie Wang; Qichao Zhang; Dongbin Zhao (ICRAI, 2021)

Hierarchical Reinforcement Learning-Based Policy Switching Towards Multi-Scenarios Autonomous Driving. - Youtian Guo; Qichao Zhang; Junjie Wang; Shasha Liu (IJCNN, 2021)

IA-CNN: A generalised interpretable convolutional neural network with attention mechanism. - Zhisong Zhang; Yaran Chen; Haoran Li 010; Qichao Zhang (IJCNN, 2021)

A Reinforcement Learning Benchmark for Autonomous Driving in Intersection Scenarios. - Yuqi Liu; Qichao Zhang; Dongbin Zhao (SSCI, 2021)

MORSE-STF: A Privacy Preserving Computation System. - Qizhi Zhang; Yuan Zhao; Lichun Li; JiaoFu Zhang; Qichao Zhang; Yashun Zhou; Dong Yin; Sijun Tan; Shan Yin (CoRR, 2021)

GAP: Goal-Aware Prediction with Hierarchical Interactive Representation for Vehicle Trajectory. - Ding Li; Qichao Zhang; Shuai Lu; Yifeng Pan; Dongbin Zhao (DMBD (1), 2022)

Offline Reinforcement Learning for Autonomous Driving with Real World Driving Data. - Xing Fang; Qichao Zhang; Yinfeng Gao; Dongbin Zhao (ITSC, 2022)

Sparse online kernelized actor-critic Learning in reproducing kernel Hilbert space. - Yongliang Yang 001; Hufei Zhu; Qichao Zhang; Bo Zhao 015; Zhenning Li; Donald C. Wunsch (Artif. Intell. Rev., 2022)

Multi-task Safe Reinforcement Learning for Navigating Intersections in Dense Traffic. - Yuqi Liu; Qichao Zhang; Dongbin Zhao (CoRR, 2022)

Conditional Goal-oriented Trajectory Prediction for Interacting Vehicles with Vectorized Representation. - Ding Li; Qichao Zhang; Shuai Lu; Yifeng Pan; Dongbin Zhao (CoRR, 2022)

Prototypical context-aware dynamics generalization for high-dimensional model-based reinforcement learning. - Junjie Wang; Yao Mu 001; Dong Li 016; Qichao Zhang; Dongbin Zhao; Yuzheng Zhuang; Ping Luo 002; Bin Wang 034; Jianye Hao (CoRR, 2022)

Highway Lane Change Decision-Making via Attention-Based Deep Reinforcement Learning. - Junjie Wang; Qichao Zhang; Dongbin Zhao (IEEE CAA J. Autom. Sinica, 2022)

BiFNet: Bidirectional Fusion Network for Road Segmentation. - Haoran Li 010; Yaran Chen; Qichao Zhang; Dongbin Zhao (IEEE Trans. Cybern., 2022)

TrajGen: Generating Realistic and Diverse Trajectories With Reactive and Feasible Agent Behaviors for Autonomous Driving. - Qichao Zhang; Yinfeng Gao; Yikang Zhang; Youtian Guo; Dawei Ding 001; Yunpeng Wang; Peng Sun; Dongbin Zhao (IEEE Trans. Intell. Transp. Syst., 2022)

PnP: Integrated Prediction and Planning for Interactive Lane Change in Dense Traffic. - Xueyi Liu; Qichao Zhang; Yinfeng Gao; Zhongpu Xia (ICONIP (6), 2023)

STEPS: Joint Self-supervised Nighttime Image Enhancement and Depth Estimation. - Yupeng Zheng; Chengliang Zhong; Pengfei Li 007; Huan-ang Gao; Yuhang Zheng; Bu Jin; Ling Wang 001; Hao Zhao 002; Guyue Zhou; Qichao Zhang; Dongbin Zhao (ICRA, 2023)

Planning-inspired Hierarchical Trajectory Prediction for Autonomous Driving. - Ding Li; Qichao Zhang; Zhongpu Xia; Kuan Zhang 004; Menglong Yi; Wenda Jin; Dongbin Zhao (CoRR, 2023)

Multi-task safe reinforcement learning for navigating intersections in dense traffic. - Yuqi Liu; Yinfeng Gao; Qichao Zhang; Dawei Ding 001; Dongbin Zhao (J. Frankl. Inst., 2023)

An Improved Carrier-Smoothing Code Algorithm for BDS Satellites with SICB. - Qichao Zhang; Xiaping Ma; Yuting Gao; Gongwen Huang; Qingzhi Zhao (Remote. Sens., 2023)

MonoOcc: Digging into Monocular Semantic Occupancy Prediction. - Yupeng Zheng; Xiang Li; Pengfei Li 007; Yuhang Zheng; Bu Jin; Chengliang Zhong; Xiaoxiao Long; Hao Zhao 002; Qichao Zhang (ICRA, 2024)

High-quality Synthetic Data is Efficient for Model-based Offline Reinforcement Learning. - Qichao Zhang; Xing Fang; Kaixuan Xu; Weixin Zhao; Haoran Li 010; Dongbin Zhao (IJCNN, 2024)

User Response Modeling in Reinforcement Learning for Ads Allocation. - Zhiyuan Zhang; Qichao Zhang; Xiaoxu Wu; Xiaowen Shi; Guogang Liao; Yongkang Wang 011; Xingxing Wang; Dongbin Zhao (WWW (Companion Volume), 2024)

PlanAgent: A Multi-modal Large Language Agent for Closed-loop Vehicle Motion Planning. - Yupeng Zheng; Zebin Xing; Qichao Zhang; Bu Jin; Pengfei Li 007; Yuhang Zheng; Zhongpu Xia; Kun Zhan; Xianpeng Lang; Yaran Chen; Dongbin Zhao (CoRR, 2024)

Preliminary Investigation into Data Scaling Laws for Imitation Learning-Based End-to-End Autonomous Driving. - Yupeng Zheng; Zhongpu Xia; Qichao Zhang; Teng Zhang; Ben Lu; Xiaochuang Huo; Chao Han; Yixian Li; Mengjie Yu; Bu Jin; Pengxuan Yang; Yuhang Zheng; et al. (CoRR, 2024)

Analysis of Multi-GNSS Multipath for Parameter-Unified Autocorrelation-Based Mitigation and the Impact of Constellation Shifts. - Wenhao Xiong; Yumiao Tian; Xiaolei Dai; Qichao Zhang; Yibing Liang; Xiongwei Ruan (Remote. Sens., 2024)

Planning-Inspired Hierarchical Trajectory Prediction via Lateral-Longitudinal Decomposition for Autonomous Driving. - Ding Li; Qichao Zhang; Zhongpu Xia; Yupeng Zheng; Kuan Zhang 004; Menglong Yi; Wenda Jin; Dongbin Zhao (IEEE Trans. Intell. Veh., 2024)

Dynamic-Horizon Model-Based Value Estimation With Latent Imagination. - Junjie Wang; Qichao Zhang; Dongbin Zhao (IEEE Trans. Neural Networks Learn. Syst., 2024)

Prototypical Context-Aware Dynamics for Generalization in Visual Control With Model-Based Reinforcement Learning. - Junjie Wang; Qichao Zhang; Yao Mu 001; Dong Li 016; Dongbin Zhao; Yuzheng Zhuang; Ping Luo 002; Bin Wang 034; Jianye Hao (IEEE Trans. Ind. Informatics, 2024)

Deep-Reinforcement-Learning-Based Driving Policy at Intersections Utilizing Lane Graph Networks. - Yuqi Liu; Qichao Zhang; Yinfeng Gao; Dongbin Zhao (IEEE Trans. Cogn. Dev. Syst., 2024)

Dream to Drive With Predictive Individual World Model. - Yinfeng Gao; Qichao Zhang; Dawei Ding 001; Dongbin Zhao (IEEE Trans. Intell. Veh., 2024)

Conditional Goal-Oriented Trajectory Prediction for Interacting Vehicles. - Ding Li; Qichao Zhang; Shuai Lu; Yifeng Pan; Dongbin Zhao (IEEE Trans. Neural Networks Learn. Syst., 2024)

In-Dataset Trajectory Return Regularization for Offline Preference-based Reinforcement Learning. - Songjun Tu; Jingbo Sun; Qichao Zhang; Yaocheng Zhang; Jia Liu; Ke Chen; Dongbin Zhao (AAAI, 2025)

DeltaDiff: Reality-Driven Diffusion with Anchor Residuals for Faithful SR. - Chao Yang; Yong Fan; Qichao Zhang; Cheng Lu; Zhijing Yang (ICIC (2), 2025)

Unsupervised Zero-Shot Reinforcement Learning via Dual-Value Forward-Backward Representation. - Jingbo Sun; Songjun Tu; Qichao Zhang; Haoran Li 010; Xin Liu 039; Yaran Chen; Ke Chen; Dongbin Zhao (ICLR, 2025)

Consistency Policy with Categorical Critic for Autonomous Driving. - Xing Fang; Qichao Zhang; Haoran Li 010; Dongbin Zhao (AAMAS, 2025)

Salience-Invariant Consistent Policy Learning for Generalization in Visual Reinforcement Learning. - Jingbo Sun; Songjun Tu; Qichao Zhang; Ke Chen; Dongbin Zhao (AAMAS, 2025)

Online Preference-based Reinforcement Learning with Self-augmented Feedback from Large Language Model. - Songjun Tu; Jingbo Sun; Qichao Zhang; Xiangyuan Lan; Dongbin Zhao (AAMAS, 2025)

Enhancing LLM Reasoning with Iterative DPO: A Comprehensive Empirical Investigation. - Songjun Tu; Jiahao Lin; Xiangyu Tian; Qichao Zhang; Linjing Li; Yuqian Fu; Nan Xu; Wei He; Xiangyuan Lan; Dongmei Jiang; Dongbin Zhao (CoRR, 2025)

UncAD: Towards Safe End-to-end Autonomous Driving via Online Map Uncertainty. - Pengxuan Yang; Yupeng Zheng; Qichao Zhang; Kefei Zhu; Zebin Xing; Qiao Lin; Yun-Fu Liu; Zhiguo Su; Dongbin Zhao (CoRR, 2025)

Learning When to Think: Shaping Adaptive Reasoning in R1-Style Models via Multi-Stage RL. - Songjun Tu; Jiahao Lin; Qichao Zhang; Xiangyu Tian; Linjing Li; Xiangyuan Lan; Dongbin Zhao (CoRR, 2025)

ReasonPlan: Unified Scene Prediction and Decision Reasoning for Closed-loop Autonomous Driving. - 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 (CoRR, 2025)

RLAE: Reinforcement Learning-Assisted Ensemble for LLMs. - Yuqian Fu; Yuanheng Zhu; Jiajun Chai; Guojun Yin; Wei Lin; Qichao Zhang; Dongbin Zhao (CoRR, 2025)

SRFT: A Single-Stage Method with Supervised and Reinforcement Fine-Tuning for Reasoning. - Yuqian Fu; Tinghong Chen; Jiajun Chai; Xihuai Wang; Songjun Tu; Guojun Yin; Wei Lin; Qichao Zhang; Yuanheng Zhu; Dongbin Zhao (CoRR, 2025)

World4Drive: End-to-End Autonomous Driving via Intention-aware Physical Latent World Model. - Yupeng Zheng; Pengxuan Yang; Zebin Xing; Qichao Zhang; Yuhang Zheng; Yinfeng Gao; Pengfei Li 007; Teng Zhang; Zhongpu Xia; Peng Jia; Dongbin Zhao (CoRR, 2025)

Perceptual Uncertainty-Aware Motion Planning for Autonomous Driving Based on Adaptive Heuristic Reinforcement Learning. - Chuan Hu; Baiyu Du; Zhidong Wang; Qichao Zhang; Ronghui Zhang; Hongbo Gao 001 (IEEE Trans. Intell. Transp. Syst., 2025)