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Dongbin Zhao
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2020 – today
- 2025
- [j102]Nannan Li, Yaran Chen
, Dongbin Zhao:
Adaptive search for broad attention based vision transformers. Neurocomputing 611: 128696 (2025) - [j101]Yuqian Fu
, Yuanheng Zhu
, Jiajun Chai
, Dongbin Zhao
:
LDR: Learning Discrete Representation to Improve Noise Robustness in Multiagent Tasks. IEEE Trans. Syst. Man Cybern. Syst. 55(1): 513-525 (2025) - 2024
- [j100]Minsong Liu
, Yuanheng Zhu
, Yaran Chen
, Dongbin Zhao
:
Enhancing Reinforcement Learning via Transformer-Based State Predictive Representations. IEEE Trans. Artif. Intell. 5(9): 4364-4375 (2024) - [j99]Haoran Li
, Yaocheng Zhang
, Haowei Wen
, Yuanheng Zhu
, Dongbin Zhao
:
Stabilizing Diffusion Model for Robotic Control With Dynamic Programming and Transition Feasibility. IEEE Trans. Artif. Intell. 5(9): 4585-4594 (2024) - [j98]Boyu Li
, Haoran Li
, Yuanheng Zhu
, Dongbin Zhao
:
MAT: Morphological Adaptive Transformer for Universal Morphology Policy Learning. IEEE Trans. Cogn. Dev. Syst. 16(4): 1611-1621 (2024) - [j97]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) - [j96]Yong Zhang
, Chaoxu Mu
, Dongbin Zhao
:
Data Generation Feedback Relearning Control for Unmodeled Nonlinear Systems. IEEE Trans. Emerg. Top. Comput. Intell. 8(1): 389-400 (2024) - [j95]Guangzheng Hu
, Yuanheng Zhu
, Haoran Li
, Dongbin Zhao
:
FM3Q: Factorized Multi-Agent MiniMax Q-Learning for Two-Team Zero-Sum Markov Game. IEEE Trans. Emerg. Top. Comput. Intell. 8(6): 4033-4045 (2024) - [j94]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) - [j93]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) - [j92]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) - [j91]Nannan Li, Yaran Chen
, Weifan Li, Zixiang Ding
, Dongbin Zhao
, Shuai Nie
:
BViT: Broad Attention-Based Vision Transformer. IEEE Trans. Neural Networks Learn. Syst. 35(9): 12772-12783 (2024) - [j90]Jiajun Chai
, Yuanheng Zhu
, Dongbin Zhao
:
NVIF: Neighboring Variational Information Flow for Cooperative Large-Scale Multiagent Reinforcement Learning. IEEE Trans. Neural Networks Learn. Syst. 35(12): 17829-17841 (2024) - [j89]Ding Li
, Qichao Zhang
, Shuai Lu, Yifeng Pan, Dongbin Zhao
:
Conditional Goal-Oriented Trajectory Prediction for Interacting Vehicles. IEEE Trans. Neural Networks Learn. Syst. 35(12): 18758-18770 (2024) - [c137]Jiajun Chai, Yuqian Fu, Dongbin Zhao, Yuanheng Zhu:
Aligning Credit for Multi-Agent Cooperation via Model-based Counterfactual Imagination. AAMAS 2024: 281-289 - [c136]Yuhui Chen, Haoran Li, Dongbin Zhao:
Boosting Continuous Control with Consistency Policy. AAMAS 2024: 335-344 - [c135]Yuanwen Chen, Xinyao Zhang, Yaran Chen, Dongbin Zhao, Yunzhen Zhao, Zhe Zhao, Pengfei Hu:
Common Sense Language-Guided Exploration and Hierarchical Dense Perception for Instruction Following Embodied Agents. ICME 2024: 1-6 - [c134]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 - [c133]Haoran Li, Zhennan Jiang, Yuhui Chen, Dongbin Zhao:
Generalizing Consistency Policy to Visual RL with Prioritized Proximal Experience Regularization. NeurIPS 2024 - [c132]Zhi Wang, Li Zhang, Wenhao Wu, Yuanheng Zhu, Dongbin Zhao, Chunlin Chen:
Meta-DT: Offline Meta-RL as Conditional Sequence Modeling with World Model Disentanglement. NeurIPS 2024 - [c131]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 - [i52]Guangzheng Hu, Yuanheng Zhu, Haoran Li, Dongbin Zhao:
FM3Q: Factorized Multi-Agent MiniMax Q-Learning for Two-Team Zero-Sum Markov Game. CoRR abs/2402.00738 (2024) - [i51]Mengying Lin, Yaran Chen, Dongbin Zhao, Zhaoran Wang:
Advancing Object Goal Navigation Through LLM-enhanced Object Affinities Transfer. CoRR abs/2403.09971 (2024) - [i50]Xin Liu, Yaran Chen, Dongbin Zhao:
Learning Future Representation with Synthetic Observations for Sample-efficient Reinforcement Learning. CoRR abs/2405.11740 (2024) - [i49]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) - [i48]Yuanyang Zhu, Zhi Wang, Yuanheng Zhu, Chunlin Chen, Dongbin Zhao:
Discretizing Continuous Action Space with Unimodal Probability Distributions for On-Policy Reinforcement Learning. CoRR abs/2408.00309 (2024) - [i47]Haoran Li, Zhennan Jiang, Yuhui Chen, Dongbin Zhao:
Generalizing Consistency Policy to Visual RL with Prioritized Proximal Experience Regularization. CoRR abs/2410.00051 (2024) - [i46]Boyu Li, Haobin Jiang, Ziluo Ding, Xinrun Xu, Haoran Li, Dongbin Zhao, Zongqing Lu:
SELU: Self-Learning Embodied MLLMs in Unknown Environments. CoRR abs/2410.03303 (2024) - [i45]Zhi Wang, Li Zhang, Wenhao Wu, Yuanheng Zhu, Dongbin Zhao, Chunlin Chen:
Meta-DT: Offline Meta-RL as Conditional Sequence Modeling with World Model Disentanglement. CoRR abs/2410.11448 (2024) - [i44]Yuqian Fu, Yuanheng Zhu, Haoran Li, Zijie Zhao, Jiajun Chai, Dongbin Zhao:
CPEG: Leveraging Consistency Policy with Consensus Guidance for Multi-agent Exploration. CoRR abs/2411.03603 (2024) - [i43]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:
Preliminary Investigation into Data Scaling Laws for Imitation Learning-Based End-to-End Autonomous Driving. CoRR abs/2412.02689 (2024) - [i42]Songjun Tu, Jingbo Sun, Qichao Zhang, Yaocheng Zhang, Jia Liu, Ke Chen, Dongbin Zhao:
In-Dataset Trajectory Return Regularization for Offline Preference-based Reinforcement Learning. CoRR abs/2412.09104 (2024) - [i41]Songjun Tu, Jingbo Sun, Qichao Zhang, Xiangyuan Lan, Dongbin Zhao:
Online Preference-based Reinforcement Learning with Self-augmented Feedback from Large Language Model. CoRR abs/2412.16878 (2024) - 2023
- [j88]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): 15673-15685 (2023) - [j87]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) - [j86]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): 1463-1473 (2023) - [j85]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): 1560-1573 (2023) - [j84]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): 5-15 (2023) - [j83]Yuanheng Zhu
, Weifan Li, Mengchen Zhao, Jianye Hao, Dongbin Zhao
:
Empirical Policy Optimization for n-Player Markov Games. IEEE Trans. Cybern. 53(10): 6443-6455 (2023) - [j82]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): 2093-2104 (2023) - [j81]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): 3966-3978 (2023) - [j80]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): 5417-5429 (2023) - [j79]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): 5679-5690 (2023) - [c130]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 - [c129]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: 1-8 - [c128]Nannan Li, Yaran Chen, Dongbin Zhao:
Dense Attention: A Densely Connected Attention Mechanism for Vision Transformer. IJCNN 2023: 1-8 - [c127]Weifan Li, Yuanheng Zhu, Dongbin Zhao:
Advantage Constrained Proximal Policy Optimization in Multi-Agent Reinforcement Learning. IJCNN 2023: 1-8 - [i40]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) - [i39]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 abs/2302.03385 (2023) - [i38]Xin Liu, Yaran Chen, Haoran Li, Boyu Li, Dongbin Zhao:
Cross-domain Random Pre-training with Prototypes for Reinforcement Learning. CoRR abs/2302.05614 (2023) - [i37]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 abs/2303.12319 (2023) - [i36]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) - [i35]Runyu Lu, Yuanheng Zhu, Dongbin Zhao:
Score-Based Equilibrium Learning in Multi-Player Finite Games with Imperfect Information. CoRR abs/2306.00350 (2023) - [i34]Yaran Chen, Xueyu Chen, Yu Han, Haoran Li, Dongbin Zhao, Jingzhong Li, Xu Wang:
Multi-modal Learning based Prediction for Disease. CoRR abs/2307.09823 (2023) - [i33]Xin Liu, Yaran Chen, Dongbin Zhao:
ComSD: Balancing Behavioral Quality and Diversity in Unsupervised Skill Discovery. CoRR abs/2309.17203 (2023) - [i32]Yuhui Chen, Haoran Li, Dongbin Zhao:
Boosting Continuous Control with Consistency Policy. CoRR abs/2310.06343 (2023) - [i31]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 abs/2311.15649 (2023) - 2022
- [j78]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) - [j77]Haoran Li
, Yaran Chen, Qichao Zhang
, Dongbin Zhao
:
BiFNet: Bidirectional Fusion Network for Road Segmentation. IEEE Trans. Cybern. 52(9): 8617-8628 (2022) - [j76]Yaran Chen, Ruiyuan Gao
, Fenggang Liu, Dongbin Zhao
:
ModuleNet: Knowledge-Inherited Neural Architecture Search. IEEE Trans. Cybern. 52(11): 11661-11671 (2022) - [j75]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) - [j74]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): 762-773 (2022) - [j73]Yuanheng Zhu
, Dongbin Zhao
:
Online Minimax Q Network Learning for Two-Player Zero-Sum Markov Games. IEEE Trans. Neural Networks Learn. Syst. 33(3): 1228-1241 (2022) - [j72]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): 5004-5018 (2022) - [j71]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): 6259-6272 (2022) - [c126]Yuqian Fu, Jiajun Chai
, Yuanheng Zhu, Dongbin Zhao:
LILAC: Learning a Leader for Cooperative Reinforcement Learning. CoG 2022: 49-55 - [c125]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 - [c124]Haoran Li, Zicheng Duan, Jiaqi Li, Mingjun Ma, Yaran Chen, Dongbin Zhao:
Neurons Perception Dataset for RoboMaster AI Challenge. IJCNN 2022: 1-8 - [c123]Xing Fang, Qichao Zhang, Yinfeng Gao, Dongbin Zhao:
Offline Reinforcement Learning for Autonomous Driving with Real World Driving Data. ITSC 2022: 3417-3422 - [i30]Nannan Li, Yaran Chen, Weifan Li, Zixiang Ding, Dongbin Zhao:
BViT: Broad Attention based Vision Transformer. CoRR abs/2202.06268 (2022) - [i29]Yuqi Liu, Qichao Zhang, Dongbin Zhao:
Multi-task Safe Reinforcement Learning for Navigating Intersections in Dense Traffic. CoRR abs/2202.09644 (2022) - [i28]Jiajun Chai, Weifan Li, Yuanheng Zhu, Dongbin Zhao, Zhe Ma, Kewu Sun, Jishiyu Ding:
UNMAS: Multi-Agent Reinforcement Learning for Unshaped Cooperative Scenarios. CoRR abs/2203.14477 (2022) - [i27]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) - [i26]Jiajun Chai, Yuanheng Zhu, Dongbin Zhao:
NVIF: Neighboring Variational Information Flow for Large-Scale Cooperative Multi-Agent Scenarios. CoRR abs/2207.00964 (2022) - [i25]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) - [i24]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) - [i23]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 abs/2212.03830 (2022) - 2021
- [j70]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: 140-150 (2021) - [j69]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): 631-644 (2021) - [j68]Yuanheng Zhu
, Dongbin Zhao
, Haibo He
:
Optimal Feedback Control of Pedestrian Flow in Heterogeneous Corridors. IEEE Trans Autom. Sci. Eng. 18(3): 1097-1108 (2021) - [c122]Junjie Wang, Qichao Zhang, Dongbin Zhao:
Benchmarking Lane-changing Decision-making for Deep Reinforcement Learning. ICRAI 2021: 26-32 - [c121]Yuqi Liu, Qichao Zhang, Dongbin Zhao:
A Reinforcement Learning Benchmark for Autonomous Driving in Intersection Scenarios. SSCI 2021: 1-8 - [i22]Haoran Li, Zicheng Duan, Mingjun Ma, Yaran Chen, Jiaqi Li, Dongbin Zhao:
MVM3Det: A Novel Method for Multi-view Monocular 3D Detection. CoRR abs/2109.10473 (2021) - [i21]Junjie Wang, Qichao Zhang, Dongbin Zhao:
Benchmarking Lane-changing Decision-making for Deep Reinforcement Learning. CoRR abs/2109.10490 (2021) - [i20]Yuqi Liu, Qichao Zhang, Dongbin Zhao:
A Reinforcement Learning Benchmark for Autonomous Driving in Intersection Scenarios. CoRR abs/2109.10557 (2021) - [i19]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 abs/2110.03858 (2021) - [i18]Yuanheng Zhu, Dongbin Zhao, Mengchen Zhao, Dong Li:
Empirical Policy Optimization for n-Player Markov Games. CoRR abs/2110.08979 (2021) - [i17]Zixiang Ding, Yaran Chen, Nannan Li, Dongbin Zhao:
Stacked BNAS: Rethinking Broad Convolutional Neural Network for Neural Architecture Search. CoRR abs/2111.07722 (2021) - 2020
- [j67]Xiaodong Zhao, Yaran Chen, Jin Guo, Dongbin Zhao:
A spatial-temporal attention model for human trajectory prediction. IEEE CAA J. Autom. Sinica 7(4): 965-974 (2020) - [j66]Dongbin Zhao
, Shukai Duan
, Zheng Yan
, Cesare Alippi:
Advances in deep neural information processing. Neurocomputing 408: 80-81 (2020) - [j65]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) - [j64]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): 4516-4525 (2020) - [j63]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) - [j62]Yuanheng Zhu
, Dongbin Zhao
, Haibo He:
Invariant Adaptive Dynamic Programming for Discrete-Time Optimal Control. IEEE Trans. Syst. Man Cybern. Syst. 50(11): 3959-3971 (2020) - [j61]Yuanheng Zhu
, Dongbin Zhao
, Haibo He
:
Synthesis of Cooperative Adaptive Cruise Control With Feedforward Strategies. IEEE Trans. Veh. Technol. 69(4): 3615-3627 (2020) - [c120]Nannan Li, Yaran Chen, Zixiang Ding, Dongbin Zhao:
Shift-Invariant Convolutional Network Search. IJCNN 2020: 1-7 - [c119]Haoran Li, Qichao Zhang, Dongbin Zhao, Yaran Chen:
RailNet: An Information Aggregation Network for Rail Track Segmentation. IJCNN 2020: 1-7 - [c118]Minsong Liu, Yuanheng Zhu, Dongbin Zhao:
An Improved Minimax-Q Algorithm Based on Generalized Policy Iteration to Solve a Chaser-Invader Game. IJCNN 2020: 1-7 - [c117]Kun Shao, Yuanheng Zhu, Zhentao Tang, Dongbin Zhao:
Cooperative Multi-Agent Deep Reinforcement Learning with Counterfactual Reward. IJCNN 2020: 1-8 - [c116]Jiasen Wang
, Jun Wang, Dongbin Zhao:
Dynamically Weighted Model Predictive Control of Affine Nonlinear Systems Based on Two-Timescale Neurodynamic Optimization. ISNN 2020: 96-105 - [c115]Junwen Chen, Yi Lu, Yaran Chen, Dongbin Zhao, Zhonghua Pang:
ContourRend: A Segmentation Method for Improving Contours by Rendering. ISNN 2020: 251-260 - [c114]Zixiang Ding, Yaran Chen, Nannan Li, Dongbin Zhao:
Device Placement Optimization for Deep Neural Networks via One-shot Model and Reinforcement Learning. SSCI 2020: 1478-1484 - [i16]Yi Lu, Yaran Chen, Dongbin Zhao, Jianxin Chen:
Graph-FCN for image semantic segmentation. CoRR abs/2001.00335 (2020) - [i15]Zixiang Ding, Yaran Chen, Nannan Li, Dongbin Zhao, C. L. Philip Chen:
Efficient Neural Architecture Search: A Broad Version. CoRR abs/2001.06679 (2020) - [i14]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 abs/2003.13949 (2020) - [i13]Yaran Chen, Ruiyuan Gao, Fenggang Liu, Dongbin Zhao:
ModuleNet: Knowledge-inherited Neural Architecture Search. CoRR abs/2004.05020 (2020) - [i12]Haoran Li, Yaran Chen, Qichao Zhang, Dongbin Zhao:
BiFNet: Bidirectional Fusion Network for Road Segmentation. CoRR abs/2004.08582 (2020) - [i11]Junwen Chen, Yi Lu, Yaran Chen, Dongbin Zhao, Zhonghua Pang:
ContourRend: A Segmentation Method for Improving Contours by Rendering. CoRR abs/2007.07437 (2020) - [i10]Haoran Li, Qichao Zhang, Dongbin Zhao:
Deep Reinforcement Learning based Automatic Exploration for Navigation in Unknown Environment. CoRR abs/2007.11808 (2020) - [i9]Zixiang Ding
, Yaran Chen, Nannan Li, Dongbin Zhao:
Faster Gradient-based NAS Pipeline Combining Broad Scalable Architecture with Confident Learning Rate. CoRR abs/2009.08886 (2020) - [i8]