Dongbin Zhao

ORCID

Publication Activity (10 Years)

Years Active: 2003-2024
Publications (10 Years): 158

Top Venues

CoRR

IJCNN

IEEE Trans. Neural Networks Learn. Syst.

SSCI

Publications

Jiajun Chai, Yuqian Fu, Dongbin Zhao, Yuanheng Zhu
Aligning Credit for Multi-Agent Cooperation via Model-based Counterfactual Imagination. AAMAS (2024)
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)
Yuhui Chen, Haoran Li, Dongbin Zhao
Boosting Continuous Control with Consistency Policy. AAMAS (2024)
Boyu Li, Haoran Li, Yuanheng Zhu, Dongbin Zhao
MAT: Morphological Adaptive Transformer for Universal Morphology Policy Learning. IEEE Trans. Cogn. Dev. Syst. 16 (4) (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)
Yong Zhang, Chaoxu Mu, Dongbin Zhao
Data Generation Feedback Relearning Control for Unmodeled Nonlinear Systems. IEEE Trans. Emerg. Top. Comput. Intell. 8 (1) (2024)
Mengying Lin, Yaran Chen, Dongbin Zhao, Zhaoran Wang
Advancing Object Goal Navigation Through LLM-enhanced Object Affinities Transfer. CoRR (2024)
Xin Liu, Yaran Chen, Dongbin Zhao
Learning Future Representation with Synthetic Observations for Sample-efficient Reinforcement Learning. CoRR (2024)
Guangzheng Hu, Yuanheng Zhu, Haoran Li, Dongbin Zhao
FM3Q: Factorized Multi-Agent MiniMax Q-Learning for Two-Team Zero-Sum Markov Game. CoRR (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)
Nannan Li, Yaran Chen, Dongbin Zhao
Dense Attention: A Densely Connected Attention Mechanism for Vision Transformer. IJCNN (2023)
Yuanheng Zhu, Dongbin Zhao
Vision-based control in the open racing car simulator with deep and reinforcement learning. J. Ambient Intell. Humaniz. Comput. 14 (12) (2023)
Guangzheng Hu, Haoran Li, Shasha Liu, Mingjun Ma, Yuanheng Zhu, Dongbin Zhao
NeuronsMAE: A Novel Multi-Agent Reinforcement Learning Environment for Cooperative and Competitive Multi-Robot Tasks. CoRR (2023)
Zhentao Tang, Yuanheng Zhu, Dongbin Zhao, Simon M. Lucas
Enhanced Rolling Horizon Evolution Algorithm With Opponent Model Learning: Results for the Fighting Game AI Competition. IEEE Trans. Games 15 (1) (2023)
Haoran Li, Shasha Liu, Mingjun Ma, Guangzheng Hu, Yaran Chen, Dongbin Zhao
NeuronsGym: A Hybrid Framework and Benchmark for Robot Tasks with Sim2Real Policy Learning. CoRR (2023)
Yaran Chen, Wenbo Cui, Yuanwen Chen, Mining Tan, Xinyao Zhang, Dongbin Zhao, He Wang
RoboGPT: an intelligent agent of making embodied long-term decisions for daily instruction tasks. CoRR (2023)
Guangzheng Hu, Haoran Li, Shasha Liu, Yuanheng Zhu, Dongbin Zhao
NeuronsMAE: A Novel Multi-Agent Reinforcement Learning Environment for Cooperative and Competitive Multi-Robot Tasks. IJCNN (2023)
Jiajun Chai, Wenzhang Chen, Yuanheng Zhu, Zong-xin Yao, Dongbin Zhao
A Hierarchical Deep Reinforcement Learning Framework for 6-DOF UCAV Air-to-Air Combat. IEEE Trans. Syst. Man Cybern. Syst. 53 (9) (2023)
Minsong Liu, Luntong Li, Shuai Hao, Yuanheng Zhu, Dongbin Zhao
Soft Contrastive Learning With Q-Irrelevance Abstraction for Reinforcement Learning. IEEE Trans. Cogn. Dev. Syst. 15 (3) (2023)
Jiaqi Li, Haoran Li, Yaran Chen, Zixiang Ding, Nannan Li, Mingjun Ma, Zicheng Duan, Dongbin Zhao
ABCP: Automatic Blockwise and Channelwise Network Pruning via Joint Search. IEEE Trans. Cogn. Dev. Syst. 15 (3) (2023)
Runyu Lu, Yuanheng Zhu, Dongbin Zhao
Score-Based Equilibrium Learning in Multi-Player Finite Games with Imperfect Information. CoRR (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)
Yaran Chen, Xueyu Chen, Yu Han, Haoran Li, Dongbin Zhao, Jingzhong Li, Xu Wang
Multi-modal Learning based Prediction for Disease. CoRR (2023)
Zixiang Ding, Yaran Chen, Nannan Li, Dongbin Zhao, C. L. Philip Chen
Stacked BNAS: Rethinking Broad Convolutional Neural Network for Neural Architecture Search. IEEE Trans. Syst. Man Cybern. Syst. 53 (9) (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)
Xin Liu, Yaran Chen, Haoran Li, Boyu Li, Dongbin Zhao
Cross-domain Random Pre-training with Prototypes for Reinforcement Learning. CoRR (2023)
Guangzheng Hu, Yuanheng Zhu, Dongbin Zhao, Mengchen Zhao, Jianye Hao
Event-Triggered Communication Network With Limited-Bandwidth Constraint for Multi-Agent Reinforcement Learning. IEEE Trans. Neural Networks Learn. Syst. 34 (8) (2023)
Yuanheng Zhu, Weifan Li, Mengchen Zhao, Jianye Hao, Dongbin Zhao
Empirical Policy Optimization for n-Player Markov Games. IEEE Trans. Cybern. 53 (10) (2023)
Weifan Li, Yuanheng Zhu, Dongbin Zhao
Advantage Constrained Proximal Policy Optimization in Multi-Agent Reinforcement Learning. IJCNN (2023)
Yuhui Chen, Haoran Li, Dongbin Zhao
Boosting Continuous Control with Consistency Policy. CoRR (2023)
Jiajun Chai, Weifan Li, Yuanheng Zhu, Dongbin Zhao, Zhe Ma, Kewu Sun, Jishiyu Ding
UNMAS: Multiagent Reinforcement Learning for Unshaped Cooperative Scenarios. IEEE Trans. Neural Networks Learn. Syst. 34 (4) (2023)
Xin Liu, Yaran Chen, Dongbin Zhao
ComSD: Balancing Behavioral Quality and Diversity in Unsupervised Skill Discovery. CoRR (2023)
Haoran Li, Zicheng Duan, Jiaqi Li, Mingjun Ma, Yaran Chen, Dongbin Zhao
Neurons Perception Dataset for RoboMaster AI Challenge. IJCNN (2022)
Zixiang Ding, Yaran Chen, Nannan Li, Dongbin Zhao, Zhiquan Sun, C. L. Philip Chen
BNAS: Efficient Neural Architecture Search Using Broad Scalable Architecture. IEEE Trans. Neural Networks Learn. Syst. 33 (9) (2022)
Yuanheng Zhu, Dongbin Zhao
Online Minimax Q Network Learning for Two-Player Zero-Sum Markov Games. IEEE Trans. Neural Networks Learn. Syst. 33 (3) (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)
Yaran Chen, Ruiyuan Gao, Fenggang Liu, Dongbin Zhao
ModuleNet: Knowledge-Inherited Neural Architecture Search. IEEE Trans. Cybern. 52 (11) (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)
Jiajun Chai, Wenzhang Chen, Yuanheng Zhu, Zong-xin Yao, Dongbin Zhao
A Hierarchical Deep Reinforcement Learning Framework for 6-DOF UCAV Air-to-Air Combat. CoRR (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)
Yaran Chen, Haoran Li, Ruiyuan Gao, Dongbin Zhao
Boost 3-D Object Detection via Point Clouds Segmentation and Fused 3-D GIoU-L₁ Loss. IEEE Trans. Neural Networks Learn. Syst. 33 (2) (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)
Yuqian Fu, Jiajun Chai, Yuanheng Zhu, Dongbin Zhao
LILAC: Learning a Leader for Cooperative Reinforcement Learning. CoG (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)
Nannan Li, Yaran Chen, Weifan Li, Zixiang Ding, Dongbin Zhao
BViT: Broad Attention based Vision Transformer. CoRR (2022)
Jiajun Chai, Weifan Li, Yuanheng Zhu, Dongbin Zhao, Zhe Ma, Kewu Sun, Jishiyu Ding
UNMAS: Multi-Agent Reinforcement Learning for Unshaped Cooperative Scenarios. CoRR (2022)
Zixiang Ding, Yaran Chen, Nannan Li, Dongbin Zhao
BNAS-v2: Memory-Efficient and Performance-Collapse-Prevented Broad Neural Architecture Search. IEEE Trans. Syst. Man Cybern. Syst. 52 (10) (2022)
Jiajun Chai, Yuanheng Zhu, Dongbin Zhao
NVIF: Neighboring Variational Information Flow for Large-Scale Cooperative Multi-Agent Scenarios. CoRR (2022)
Jiaqi Li, Haoran Li, Yaran Chen, Zixiang Ding, Nannan Li, Mingjun Ma, Zicheng Duan, Dongbin Zhao
ABCP: Automatic Block-wise and Channel-wise Network Pruning via Joint Search. CoRR (2021)
Yuanheng Zhu, Dongbin Zhao, Mengchen Zhao, Dong Li
Empirical Policy Optimization for n-Player Markov Games. CoRR (2021)
Haoran Li, Zicheng Duan, Mingjun Ma, Yaran Chen, Jiaqi Li, Dongbin Zhao
MVM3Det: A Novel Method for Multi-view Monocular 3D Detection. CoRR (2021)
Zixiang Ding, Yaran Chen, Nannan Li, Dongbin Zhao
Stacked BNAS: Rethinking Broad Convolutional Neural Network for Neural Architecture Search. CoRR (2021)
Yuanheng Zhu, Dongbin Zhao, Haibo He
Optimal Feedback Control of Pedestrian Flow in Heterogeneous Corridors. IEEE Trans Autom. Sci. Eng. 18 (3) (2021)
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)
Yi Lu, Yaran Chen, Dongbin Zhao, Bao Liu, Zhichao Lai, Jianxin Chen
CNN-G: Convolutional Neural Network Combined With Graph for Image Segmentation With Theoretical Analysis. IEEE Trans. Cogn. Dev. Syst. 13 (3) (2021)
Yuqi Liu, Qichao Zhang, Dongbin Zhao
A Reinforcement Learning Benchmark for Autonomous Driving in Intersection Scenarios. SSCI (2021)
Yi Lu, Yaran Chen, Dongbin Zhao, Dong Li
MGRL: Graph neural network based inference in a Markov network with reinforcement learning for visual navigation. Neurocomputing 421 (2021)
Yuqi Liu, Qichao Zhang, Dongbin Zhao
A Reinforcement Learning Benchmark for Autonomous Driving in Intersection Scenarios. CoRR (2021)
Minsong Liu, Yuanheng Zhu, Dongbin Zhao
An Improved Minimax-Q Algorithm Based on Generalized Policy Iteration to Solve a Chaser-Invader Game. IJCNN (2020)
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)
Zhentao Tang, Yuanheng Zhu, Dongbin Zhao, Simon M. Lucas
Enhanced Rolling Horizon Evolution Algorithm with Opponent Model Learning: Results for the Fighting Game AI Competition. CoRR (2020)
Zixiang Ding, Yaran Chen, Nannan Li, Dongbin Zhao, C. L. Philip Chen
Efficient Neural Architecture Search: A Broad Version. CoRR (2020)
Yuanheng Zhu, Dongbin Zhao, Haibo He
Synthesis of Cooperative Adaptive Cruise Control With Feedforward Strategies. IEEE Trans. Veh. Technol. 69 (4) (2020)
Zixiang Ding, Yaran Chen, Nannan Li, Dongbin Zhao
Faster Gradient-based NAS Pipeline Combining Broad Scalable Architecture with Confident Learning Rate. CoRR (2020)
Dongbin Zhao, Shukai Duan, Zheng Yan, Cesare Alippi
Advances in deep neural information processing. Neurocomputing 408 (2020)
Zixiang Ding, Yaran Chen, Nannan Li, Dongbin Zhao
Device Placement Optimization for Deep Neural Networks via One-shot Model and Reinforcement Learning. SSCI (2020)
Nannan Li, Yu Pan, Yaran Chen, Zixiang Ding, Dongbin Zhao, Zenglin Xu
Heuristic Rank Selection with Progressively Searching Tensor Ring Network. CoRR (2020)
Haoran Li, Qichao Zhang, Dongbin Zhao, Yaran Chen
RailNet: An Information Aggregation Network for Rail Track Segmentation. IJCNN (2020)
Yuanheng Zhu, Dongbin Zhao, Haibo He
Invariant Adaptive Dynamic Programming for Discrete-Time Optimal Control. IEEE Trans. Syst. Man Cybern. Syst. 50 (11) (2020)
Haoran Li, Yaran Chen, Qichao Zhang, Dongbin Zhao
BiFNet: Bidirectional Fusion Network for Road Segmentation. CoRR (2020)
Nannan Li, Yaran Chen, Zixiang Ding, Dongbin Zhao
Shift-Invariant Convolutional Network Search. IJCNN (2020)
Junjie Wang, Qichao Zhang, Dongbin Zhao, Mengchen Zhao, Jianye Hao
Dynamic Horizon Value Estimation for Model-based Reinforcement Learning. CoRR (2020)
Yuanheng Zhu, Haibo He, Dongbin Zhao
LMI-Based Synthesis of String-Stable Controller for Cooperative Adaptive Cruise Control. IEEE Trans. Intell. Transp. Syst. 21 (11) (2020)
Yaran Chen, Ruiyuan Gao, Fenggang Liu, Dongbin Zhao
ModuleNet: Knowledge-inherited Neural Architecture Search. CoRR (2020)
Yi Lu, Yaran Chen, Dongbin Zhao, Jianxin Chen
Graph-FCN for image semantic segmentation. CoRR (2020)
Haoran Li, Qichao Zhang, Dongbin Zhao
Deep Reinforcement Learning based Automatic Exploration for Navigation in Unknown Environment. CoRR (2020)
Jiasen Wang, Jun Wang, Dongbin Zhao
Dynamically Weighted Model Predictive Control of Affine Nonlinear Systems Based on Two-Timescale Neurodynamic Optimization. ISNN (2020)
Kun Shao, Yuanheng Zhu, Zhentao Tang, Dongbin Zhao
Cooperative Multi-Agent Deep Reinforcement Learning with Counterfactual Reward. IJCNN (2020)
Guangzheng Hu, Yuanheng Zhu, Dongbin Zhao, Mengchen Zhao, Jianye Hao
Event-Triggered Multi-agent Reinforcement Learning with Communication under Limited-bandwidth Constraint. CoRR (2020)
Xiaodong Zhao, Yaran Chen, Jin Guo, Dongbin Zhao
A spatial-temporal attention model for human trajectory prediction. IEEE CAA J. Autom. Sinica 7 (4) (2020)
Junwen Chen, Yi Lu, Yaran Chen, Dongbin Zhao, Zhonghua Pang
ContourRend: A Segmentation Method for Improving Contours by Rendering. CoRR (2020)
Junwen Chen, Yi Lu, Yaran Chen, Dongbin Zhao, Zhonghua Pang
ContourRend: A Segmentation Method for Improving Contours by Rendering. ISNN (2020)
Le Lv, Dongbin Zhao, Kun Shao
Deep sparse representation-based mid-level visual elements discovery in fine-grained classification. Soft Comput. 23 (18) (2019)
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)
Le Lv, Jianbo Cheng, Nanbo Peng, Min Fan, Dongbin Zhao, Jianhong Zhang
Auto-encoder based Graph Convolutional Networks for Online Financial Anti-fraud. CIFEr (2019)
Kun Shao, Zhentao Tang, Yuanheng Zhu, Nannan Li, Dongbin Zhao
A Survey of Deep Reinforcement Learning in Video Games. CoRR (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)
Ping Guo, Dongbin Zhao, Min Han, Shoubo Feng
Pseudoinverse Learners: New Trend and Applications to Big Data. INNSBDDL (2019)
Kun Shao, Yuanheng Zhu, Dongbin Zhao
StarCraft Micromanagement With Reinforcement Learning and Curriculum Transfer Learning. IEEE Trans. Emerg. Top. Comput. Intell. 3 (1) (2019)
Bin Wang, Dongbin Zhao, Jin Cheng
Adaptive cruise control via adaptive dynamic programming with experience replay. Soft Comput. 23 (12) (2019)

Dongbin Zhao.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

Dongbin Zhao