Dongbin Zhao - RankMe

377 papers A* 18A 16B 39C 20Journal 215Unranked 62

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	CPIG: Leveraging Consistency Policy With Intention Guidance for Multiagent Exploration. IEEE Trans. Cogn. Dev. Syst. Yuqian Fu, Yuanheng Zhu, Haoran Li, Zijie Zhao, Jiajun Chai, Dongbin Zhao
2026	J	`jnl`	DreamerAD: Efficient Reinforcement Learning via Latent World Model for Autonomous Driving. CoRR Pengxuan Yang, Yupeng Zheng, Deheng Qian, Zebin Xing, Qichao Zhang, Linbo Wang, Yichen Zhang, Shaoyu Guo, Zhongpu Xia, Qiang Chen, Junyu Han, Lingyun Xu, Yifeng Pan, Dongbin Zhao
2026	J	`jnl`	Dual-Granularity Contrastive Reward via Generated Episodic Guidance for Efficient Embodied RL. CoRR Xin Liu, Yixuan Li, Yuhui Chen, Yuxing Qin, Haoran Li, Dongbin Zhao
2026	J	`jnl`	Dynamic Dual-Granularity Skill Bank for Agentic RL. CoRR Songjun Tu, Chengdong Xu, Qichao Zhang, Yaocheng Zhang, Xiangyuan Lan, Linjing Li, Dongbin Zhao
2026	J	`jnl`	InCoM: Intent-Driven Perception and Structured Coordination for Whole-Body Mobile Manipulation. CoRR Jiahao Liu, Cui Wenbo, Haoran Li, Dongbin Zhao
2026	J	`jnl`	LDA-1B: Scaling Latent Dynamics Action Model via Universal Embodied Data Ingestion. CoRR Jiangran Lyu, Kai Liu, Xuheng Zhang, Haoran Liao, Yusen Feng, Wenxuan Zhu, Tingrui Shen, Jiayi Chen, Jiazhao Zhang, Yifei Dong, Wenbo Cui, Senmao Qi, Shuo Wang, Yixin Zheng, Mi Yan, Xuesong Shi, Haoran Li, Dongbin Zhao, Ming-Yu Liu, Zhizheng Zhang, Li Yi, Yizhou Wang, He Wang
2026	J	`jnl`	Latent-WAM: Latent World Action Modeling for End-to-End Autonomous Driving. CoRR Linbo Wang, Yupeng Zheng, Qiang Chen, Shiwei Li, Yichen Zhang, Zebin Xing, Qichao Zhang, Xiang Li, Deheng Qian, Pengxuan Yang, Yihang Dong, Ce Hao, Xiaoqing Ye, Junyu Han, Yifeng Pan, Dongbin Zhao
2026	J	`jnl`	Learning from Mistakes: Post-Training for Driving VLA with Takeover Data. CoRR Yinfeng Gao, Deqing Liu, Qichao Zhang, Yupeng Zheng, Haochen Tian, Guang Li, Hangjun Ye, Long Chen, Da-Wei Ding, Dongbin Zhao
2026	J	`jnl`	Mimir: Hierarchical Goal-Driven Diffusion With Uncertainty Propagation for End-to-End Autonomous Driving. IEEE Robotics Autom. Lett. Zebin Xing, Yupeng Zheng, Qichao Zhang, Zhixing Ding, Pengxuan Yang, Songen Gu, Zhongpu Xia, Dongbin Zhao
2026	J	`jnl`	PaperAudit-Bench: Benchmarking Error Detection in Research Papers for Critical Automated Peer Review. CoRR Songjun Tu, Yiwen Ma, Jiahao Lin, Qichao Zhang, Xiangyuan Lan, Junfeng. Li, Nan Xu, Linjing Li, Dongbin Zhao
2026	J	`jnl`	PerlAD: Towards Enhanced Closed-Loop End-to-End Autonomous Driving With Pseudo-Simulation-Based Reinforcement Learning. IEEE Robotics Autom. Lett. Yinfeng Gao, Qichao Zhang, Deqing Liu, Zhongpu Xia, Guang Li, Kun Ma, Guang Chen, Hangjun Ye, Long Chen, Da-Wei Ding, Dongbin Zhao
2026	J	`jnl`	PerlAD: Towards Enhanced Closed-loop End-to-end Autonomous Driving with Pseudo-simulation-based Reinforcement Learning. CoRR Yinfeng Gao, Qichao Zhang, Deqing Liu, Zhongpu Xia, Guang Li, Kun Ma, Guang Chen, Hangjun Ye, Long Chen, Da-Wei Ding, Dongbin Zhao
2026	J	`jnl`	Revisiting On-Policy Distillation: Empirical Failure Modes and Simple Fixes. CoRR Yuqian Fu, Haohuan Huang, Kaiwen Jiang, Yuanheng Zhu, Dongbin Zhao
2026	J	`jnl`	Spec-o3: A Tool-Augmented Vision-Language Agent for Rare Celestial Object Candidate Vetting via Automated Spectral Inspection. CoRR Minghui Jia, Qichao Zhang, Ali Luo, Linjing Li, Shuo Ye, Hailing Lu, Wen Hou, Dongbin Zhao
2026	J	`jnl`	TakeAD: Preference-Based Post-Optimization for End-to-End Autonomous Driving With Expert Takeover Data. IEEE Robotics Autom. Lett. Deqing Liu, Yinfeng Gao, Deheng Qian, Qichao Zhang, Xiaoqing Ye, Junyu Han, Yupeng Zheng, Xueyi Liu, Zhongpu Xia, Dawei Ding, Yifeng Pan, Dongbin Zhao
2026	J	`jnl`	TeViR: Text-to-Video Reward With Diffusion Models for Efficient Reinforcement Learning. IEEE Trans. Syst. Man Cybern. Syst. Yuhui Chen, Haoran Li, Zhennan Jiang, Haowei Wen, Dongbin Zhao
2026	J	`jnl`	Towards Long-Lived Robots: Continual Learning VLA Models via Reinforcement Fine-Tuning. CoRR Yuan Liu, Haoran Li, Shuai Tian, Yuxing Qin, Yuhui Chen, Yupeng Zheng, Yongzhen Huang, Dongbin Zhao
2026	J	`jnl`	WoVR: World Models as Reliable Simulators for Post-Training VLA Policies with RL. CoRR Zhennan Jiang, Shangqing Zhou, Yutong Jiang, Zefang Huang, Mingjie Wei, Yuhui Chen, Tianxing Zhou, Zhen Guo, Hao Lin, Quanlu Zhang, Yu Wang, Haoran Li, Chao Yu, Dongbin Zhao
2025	—	`conf`	ARAC: Adaptive Regularized Multi-Agent Soft Actor-Critic in Graph-Structured Adversarial Games. DAI Ruochuan Shi, Runyu Lu, Yuanheng Zhu, Dongbin Zhao
2025	J	`jnl`	ARAC: Adaptive Regularized Multi-Agent Soft Actor-Critic in Graph-Structured Adversarial Games. CoRR Ruochuan Shi, Runyu Lu, Yuanheng Zhu, Dongbin Zhao
2025	J	`jnl`	Adaptive search for broad attention based vision transformers. Neurocomputing Nannan Li, Yaran Chen, Dongbin Zhao
2025	A	`conf`	Advancing Object-Goal Navigation through LLM-enhanced Object Affinities Transfer. IROS Mengying Lin, Shugao Liu, Dingxi Zhang, Yaran Chen, Zhaoran Wang, Haoran Li, Dongbin Zhao
2025	J	`jnl`	Balancing State Exploration and Skill Diversity in Unsupervised Skill Discovery. IEEE Trans. Cybern. Xin Liu, Yaran Chen, Guixing Chen, Haoran Li, Dongbin Zhao
2025	J	`jnl`	CL3R: 3D Reconstruction and Contrastive Learning for Enhanced Robotic Manipulation Representations. CoRR Wenbo Cui, Chengyang Zhao, Yuhui Chen, Haoran Li, Zhizheng Zhang, Dongbin Zhao, He Wang
2025	J	`jnl`	ConRFT: A Reinforced Fine-tuning Method for VLA Models via Consistency Policy. CoRR Yuhui Chen, Shuai Tian, Shugao Liu, Yingting Zhou, Haoran Li, Dongbin Zhao
2025	A	`conf`	Consistency Policy with Categorical Critic for Autonomous Driving. AAMAS Xing Fang, Qichao Zhang, Haoran Li, Dongbin Zhao
2025	A*	`conf`	Constrained Exploitability Descent: An Offline Reinforcement Learning Method for Finding Mixed-Strategy Nash Equilibrium. ICML Runyu Lu, Yuanheng Zhu, Dongbin Zhao
2025	J	`jnl`	CriticSearch: Fine-Grained Credit Assignment for Search Agents via a Retrospective Critic. CoRR Yaocheng Zhang, Haohuan Huang, Zijun Song, Yuanheng Zhu, Qichao Zhang, Zijie Zhao, Dongbin Zhao
2025	J	`jnl`	Cross-Domain Random Pretraining With Prototypes for Reinforcement Learning. IEEE Trans. Syst. Man Cybern. Syst. Xin Liu, Yaran Chen, Haoran Li, Boyu Li, Dongbin Zhao
2025	J	`jnl`	DiffuDepGrasp: Diffusion-based Depth Noise Modeling Empowers Sim2Real Robotic Grasping. CoRR Yingting Zhou, Wenbo Cui, Weiheng Liu, Guixing Chen, Haoran Li, Dongbin Zhao
2025	A*	`conf`	DipLLM: Fine-Tuning LLM for Strategic Decision-making in Diplomacy. ICML Kaixuan Xu, Jiajun Chai, Sicheng Li, Yuqian Fu, Yuanheng Zhu, Dongbin Zhao
2025	J	`jnl`	DipLLM: Fine-Tuning LLM for Strategic Decision-making in Diplomacy. CoRR Kaixuan Xu, Jiajun Chai, Sicheng Li, Yuqian Fu, Yuanheng Zhu, Dongbin Zhao
2025	J	`jnl`	Discretizing Continuous Action Space With Unimodal Probability Distributions for On-Policy Reinforcement Learning. IEEE Trans. Neural Networks Learn. Syst. Yuanyang Zhu, Zhi Wang, Yuanheng Zhu, Chunlin Chen, Dongbin Zhao
2025	A*	`conf`	Divergence-Regularized Discounted Aggregation: Equilibrium Finding in Multiplayer Partially Observable Stochastic Games. ICLR Runyu Lu, Yuanheng Zhu, Dongbin Zhao
2025	J	`jnl`	Dream to Drive with Predictive Individual World Model. CoRR Yinfeng Gao, Qichao Zhang, Dawei Ding, Dongbin Zhao
2025	A*	`conf`	Empowering LLM Agents with Zero-Shot Optimal Decision-Making through Q-learning. ICLR Jiajun Chai, Sicheng Li, Yuqian Fu, Dongbin Zhao, Yuanheng Zhu
2025	J	`jnl`	Empowering Multi-Robot Cooperation via Sequential World Models. CoRR Zijie Zhao, Honglei Guo, Shengqian Chen, Kaixuan Xu, Bo Jiang, Yuanheng Zhu, Dongbin Zhao
2025	J	`jnl`	Enhancing LLM Reasoning with Iterative DPO: A Comprehensive Empirical Investigation. CoRR Songjun Tu, Jiahao Lin, Xiangyu Tian, Qichao Zhang, Linjing Li, Yuqian Fu, Nan Xu, Wei He, Xiangyuan Lan, Dongmei Jiang, Dongbin Zhao
2025	J	`jnl`	Equilibrium Policy Generalization: A Reinforcement Learning Framework for Cross-Graph Zero-Shot Generalization in Pursuit-Evasion Games. CoRR Runyu Lu, Peng Zhang, Ruochuan Shi, Yuanheng Zhu, Dongbin Zhao, Yang Liu, Dong Wang, Cesare Alippi
2025	J	`jnl`	FetchBot: Object Fetching in Cluttered Shelves via Zero-Shot Sim2Real. CoRR Weiheng Liu, Yuxuan Wan, Jilong Wang, Yuxuan Kuang, Xuesong Shi, Haoran Li, Dongbin Zhao, Zhizheng Zhang, He Wang
2025	B	`conf`	FusionNav: Enhancing Zero-Shot Object-Goal Navigation via 3D Semantic Fusion and Farsight Value Reasoning. SMC Shugao Liu, Qichao Zhang, Haoran Li, Dongbin Zhao
2025	J	`jnl`	Guest Editorial: Special Issue on Embodied AI in Indoor Robotics: Bridging Perception, Interaction, and Autonomy. IEEE Trans. Cogn. Dev. Syst. Yaran Chen, Chengguang Yang, Chaomin Luo, Dongbin Zhao
2025	A*	`conf`	INS: Interaction-aware Synthesis to Enhance Offline Multi-agent Reinforcement Learning. ICLR Yuqian Fu, Yuanheng Zhu, Jian Zhao, Jiajun Chai, Dongbin Zhao
2025	J	`jnl`	IP3: Integrated Path-Guided Prediction and Planning for Safe Autonomous Driving. IEEE Trans. Veh. Technol. Ding Li, Qichao Zhang, Dongfang Yang, Zhi Wang, Fan Ren, Dongbin Zhao
2025	A*	`conf`	In-Dataset Trajectory Return Regularization for Offline Preference-based Reinforcement Learning. AAAI Songjun Tu, Jingbo Sun, Qichao Zhang, Yaocheng Zhang, Jia Liu, Ke Chen, Dongbin Zhao
2025	J	`jnl`	LDR: Learning Discrete Representation to Improve Noise Robustness in Multiagent Tasks. IEEE Trans. Syst. Man Cybern. Syst. Yuqian Fu, Yuanheng Zhu, Jiajun Chai, Dongbin Zhao
2025	J	`jnl`	Last-Iterate Convergence to Approximate Nash Equilibria in Multiplayer Imperfect Information Games. IEEE Trans. Neural Networks Learn. Syst. Runyu Lu, Yuanheng Zhu, Dongbin Zhao, Yu Liu, You He
2025	A	`conf`	LeAffordNav: Enhancing Open-vocabulary Mobile Manipulation with LLM-guided Exploration and Affordance-aware Navigation. ICME Yuanwen Chen, Haoran Li, Yaran Chen, Dongbin Zhao
2025	J	`jnl`	Learning When to Think: Shaping Adaptive Reasoning in R1-Style Models via Multi-Stage RL. CoRR Songjun Tu, Jiahao Lin, Qichao Zhang, Xiangyu Tian, Linjing Li, Xiangyuan Lan, Dongbin Zhao
2025	J	`jnl`	Meta Learning Task Representation in Multiagent Reinforcement Learning: From Global Inference to Local Inference. IEEE Trans. Neural Networks Learn. Syst. Zijie Zhao, Yuqian Fu, Jiajun Chai, Yuanheng Zhu, Dongbin Zhao
2025	J	`jnl`	Mimir: Hierarchical Goal-Driven Diffusion with Uncertainty Propagation for End-to-End Autonomous Driving. CoRR Zebin Xing, Yupeng Zheng, Qichao Zhang, Zhixing Ding, Pengxuan Yang, Songen Gu, Zhongpu Xia, Dongbin Zhao
2025	J	`jnl`	Multi-Task Multi-Agent Reinforcement Learning With Task-Entity Transformers and Value Decomposition Training. IEEE Trans Autom. Sci. Eng. Yuanheng Zhu, Shangjing Huang, Binbin Zuo, Dongbin Zhao, Changyin Sun
2025	J	`jnl`	Multimodal Learning-based Prediction for Nonalcoholic Fatty Liver Disease. Mach. Intell. Res. Yaran Chen, Xueyu Chen, Yu Han, Haoran Li, Dongbin Zhao, Jingzhong Li, Xu Wang, Yong Zhou
2025	J	`jnl`	NeuronsGym: A Hybrid Framework and Benchmark for Robot Navigation With Sim2Real Policy Learning. IEEE Trans. Emerg. Top. Comput. Intell. Haoran Li, Guangzheng Hu, Shasha Liu, Mingjun Ma, Yaran Chen, Dongbin Zhao
2025	A	`conf`	Offline Goal-Conditioned Reinforcement Learning with Elastic-Subgoal Diffused Policy Learning. AAMAS Yaocheng Zhang, Yuanheng Zhu, Yuqian Fu, Songjun Tu, Dongbin Zhao
2025	A	`conf`	Online Preference-based Reinforcement Learning with Self-augmented Feedback from Large Language Model. AAMAS Songjun Tu, Jingbo Sun, Qichao Zhang, Xiangyuan Lan, Dongbin Zhao
2025	J	`jnl`	Perception-Consistency Multimodal Large Language Models Reasoning via Caption-Regularized Policy Optimization. CoRR Songjun Tu, Qichao Zhang, Jingbo Sun, Yuqian Fu, Linjing Li, Xiangyuan Lan, Dongmei Jiang, Yaowei Wang, Dongbin Zhao
2025	J	`jnl`	R2PS: Worst-Case Robust Real-Time Pursuit Strategies under Partial Observability. CoRR Runyu Lu, Ruochuan Shi, Yuanheng Zhu, Dongbin Zhao
2025	A*	`conf`	RLAE: Reinforcement Learning-Assisted Ensemble for LLMs. EMNLP Yuqian Fu, Yuanheng Zhu, Jiajun Chai, Guojun Yin, Wei Lin, Qichao Zhang, Dongbin Zhao
2025	J	`jnl`	RLAE: Reinforcement Learning-Assisted Ensemble for LLMs. CoRR Yuqian Fu, Yuanheng Zhu, Jiajun Chai, Guojun Yin, Wei Lin, Qichao Zhang, Dongbin Zhao
2025	J	`jnl`	ReasonPlan: Unified Scene Prediction and Decision Reasoning for Closed-loop Autonomous Driving. CoRR 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
2025	J	`jnl`	RoboGPT: An LLM-Based Long-Term Decision-Making Embodied Agent for Instruction Following Tasks. IEEE Trans. Cogn. Dev. Syst. Yaran Chen, Wenbo Cui, Yuanwen Chen, Mining Tan, Xinyao Zhang, Jinrui Liu, Haoran Li, Dongbin Zhao, He Wang
2025	J	`jnl`	SELU: Self-Learning Embodied Multimodal Large Language Models in Unknown Environments. Trans. Mach. Learn. Res. Boyu Li, Haobin Jiang, Ziluo Ding, Xinrun Xu, Haoran Li, Dongbin Zhao, Zongqing Lu
2025	J	`jnl`	SRFT: A Single-Stage Method with Supervised and Reinforcement Fine-Tuning for Reasoning. CoRR Yuqian Fu, Tinghong Chen, Jiajun Chai, Xihuai Wang, Songjun Tu, Guojun Yin, Wei Lin, Qichao Zhang, Yuanheng Zhu, Dongbin Zhao
2025	A	`conf`	Salience-Invariant Consistent Policy Learning for Generalization in Visual Reinforcement Learning. AAMAS Jingbo Sun, Songjun Tu, Qichao Zhang, Ke Chen, Dongbin Zhao
2025	J	`jnl`	Salience-Invariant Consistent Policy Learning for Generalization in Visual Reinforcement Learning. CoRR Jingbo Sun, Songjun Tu, Qichao Zhang, Ke Chen, Dongbin Zhao
2025	J	`jnl`	Survey of Vision-Language-Action Models for Embodied Manipulation. CoRR Haoran Li, Yuhui Chen, Wenbo Cui, Weiheng Liu, Kai Liu, Mingcai Zhou, Zhengtao Zhang, Dongbin Zhao
2025	J	`jnl`	TakeAD: Preference-based Post-optimization for End-to-end Autonomous Driving with Expert Takeover Data. CoRR Deqing Liu, Yinfeng Gao, Deheng Qian, Qichao Zhang, Xiaoqing Ye, Junyu Han, Yupeng Zheng, Xueyi Liu, Zhongpu Xia, Dawei Ding, Yifeng Pan, Dongbin Zhao
2025	J	`jnl`	Taming the Judge: Deconflicting AI Feedback for Stable Reinforcement Learning. CoRR Boyin Liu, Zhuo Zhang, Sen Huang, Lipeng Xie, Qingxu Fu, Haoran Chen, Li Yu, Tianyi Hu, Zhaoyang Liu, Bolin Ding, Dongbin Zhao
2025	J	`jnl`	TeViR: Text-to-Video Reward with Diffusion Models for Efficient Reinforcement Learning. CoRR Yuhui Chen, Haoran Li, Zhennan Jiang, Haowei Wen, Dongbin Zhao
2025	J	`jnl`	TrajMoE: Scene-Adaptive Trajectory Planning with Mixture of Experts and Reinforcement Learning. CoRR Zebin Xing, Pengxuan Yang, Linbo Wang, Yichen Zhang, Yiming Hu, Yupeng Zheng, Junli Wang, Yinfeng Gao, Guang Li, Kun Ma, Long Chen, Zhongpu Xia, Qichao Zhang, Hangjun Ye, Dongbin Zhao
2025	A*	`conf`	UncAD: Towards Safe End-to-end Autonomous Driving via Online Map Uncertainty. ICRA Pengxuan Yang, Yupeng Zheng, Qichao Zhang, Kefei Zhu, Zebin Xing, Qiao Lin, Yun-Fu Liu, Zhiguo Su, Dongbin Zhao
2025	J	`jnl`	UncAD: Towards Safe End-to-end Autonomous Driving via Online Map Uncertainty. CoRR Pengxuan Yang, Yupeng Zheng, Qichao Zhang, Kefei Zhu, Zebin Xing, Qiao Lin, Yun-Fu Liu, Zhiguo Su, Dongbin Zhao
2025	A*	`conf`	Unsupervised Zero-Shot Reinforcement Learning via Dual-Value Forward-Backward Representation. ICLR Jingbo Sun, Songjun Tu, Qichao Zhang, Haoran Li, Xin Liu, Yaran Chen, Ke Chen, Dongbin Zhao
2025	J	`jnl`	Videos are Sample-Efficient Supervisions: Behavior Cloning from Videos via Latent Representations. CoRR Xin Liu, Haoran Li, Dongbin Zhao
2025	J	`jnl`	World4Drive: End-to-End Autonomous Driving via Intention-aware Physical Latent World Model. CoRR Yupeng Zheng, Pengxuan Yang, Zebin Xing, Qichao Zhang, Yuhang Zheng, Yinfeng Gao, Pengfei Li, Teng Zhang, Zhongpu Xia, Peng Jia, Dongbin Zhao
2025	J	`jnl`	World4RL: Diffusion World Models for Policy Refinement with Reinforcement Learning for Robotic Manipulation. CoRR Zhennan Jiang, Kai Liu, Yuxin Qin, Shuai Tian, Yupeng Zheng, Mingcai Zhou, Chao Yu, Haoran Li, Dongbin Zhao
2024	J	`jnl`	Advancing Object Goal Navigation Through LLM-enhanced Object Affinities Transfer. CoRR Mengying Lin, Yaran Chen, Dongbin Zhao, Zhaoran Wang
2024	A	`conf`	Aligning Credit for Multi-Agent Cooperation via Model-based Counterfactual Imagination. AAMAS Jiajun Chai, Yuqian Fu, Dongbin Zhao, Yuanheng Zhu
2024	J	`jnl`	BViT: Broad Attention-Based Vision Transformer. IEEE Trans. Neural Networks Learn. Syst. Nannan Li, Yaran Chen, Weifan Li, Zixiang Ding, Dongbin Zhao, Shuai Nie
2024	A	`conf`	Boosting Continuous Control with Consistency Policy. AAMAS Yuhui Chen, Haoran Li, Dongbin Zhao
2024	J	`jnl`	CPEG: Leveraging Consistency Policy with Consensus Guidance for Multi-agent Exploration. CoRR Yuqian Fu, Yuanheng Zhu, Haoran Li, Zijie Zhao, Jiajun Chai, Dongbin Zhao
2024	A	`conf`	Common Sense Language-Guided Exploration and Hierarchical Dense Perception for Instruction Following Embodied Agents. ICME Yuanwen Chen, Xinyao Zhang, Yaran Chen, Dongbin Zhao, Yunzhen Zhao, Zhe Zhao, Pengfei Hu
2024	J	`jnl`	Conditional Goal-Oriented Trajectory Prediction for Interacting Vehicles. IEEE Trans. Neural Networks Learn. Syst. Ding Li, Qichao Zhang, Shuai Lu, Yifeng Pan, Dongbin Zhao
2024	J	`jnl`	Data Generation Feedback Relearning Control for Unmodeled Nonlinear Systems. IEEE Trans. Emerg. Top. Comput. Intell. Yong Zhang, Chaoxu Mu, Dongbin Zhao
2024	J	`jnl`	Deep-Reinforcement-Learning-Based Driving Policy at Intersections Utilizing Lane Graph Networks. IEEE Trans. Cogn. Dev. Syst. Yuqi Liu, Qichao Zhang, Yinfeng Gao, Dongbin Zhao
2024	J	`jnl`	Discretizing Continuous Action Space with Unimodal Probability Distributions for On-Policy Reinforcement Learning. CoRR Yuanyang Zhu, Zhi Wang, Yuanheng Zhu, Chunlin Chen, Dongbin Zhao
2024	J	`jnl`	Dream to Drive With Predictive Individual World Model. IEEE Trans. Intell. Veh. Yinfeng Gao, Qichao Zhang, Dawei Ding, Dongbin Zhao
2024	J	`jnl`	Dynamic-Horizon Model-Based Value Estimation With Latent Imagination. IEEE Trans. Neural Networks Learn. Syst. Junjie Wang, Qichao Zhang, Dongbin Zhao
2024	J	`jnl`	Enhancing Reinforcement Learning via Transformer-Based State Predictive Representations. IEEE Trans. Artif. Intell. Minsong Liu, Yuanheng Zhu, Yaran Chen, Dongbin Zhao
2024	J	`jnl`	FM3Q: Factorized Multi-Agent MiniMax Q-Learning for Two-Team Zero-Sum Markov Game. CoRR Guangzheng Hu, Yuanheng Zhu, Haoran Li, Dongbin Zhao
2024	J	`jnl`	FM3Q: Factorized Multi-Agent MiniMax Q-Learning for Two-Team Zero-Sum Markov Game. IEEE Trans. Emerg. Top. Comput. Intell. Guangzheng Hu, Yuanheng Zhu, Haoran Li, Dongbin Zhao
2024	A*	`conf`	Generalizing Consistency Policy to Visual RL with Prioritized Proximal Experience Regularization. NeurIPS Haoran Li, Zhennan Jiang, Yuhui Chen, Dongbin Zhao
2024	J	`jnl`	Generalizing Consistency Policy to Visual RL with Prioritized Proximal Experience Regularization. CoRR Haoran Li, Zhennan Jiang, Yuhui Chen, Dongbin Zhao
2024	B	`conf`	High-quality Synthetic Data is Efficient for Model-based Offline Reinforcement Learning. IJCNN Qichao Zhang, Xing Fang, Kaixuan Xu, Weixin Zhao, Haoran Li, Dongbin Zhao
2024	J	`jnl`	In-Dataset Trajectory Return Regularization for Offline Preference-based Reinforcement Learning. CoRR Songjun Tu, Jingbo Sun, Qichao Zhang, Yaocheng Zhang, Jia Liu, Ke Chen, Dongbin Zhao
2024	J	`jnl`	Learning Future Representation with Synthetic Observations for Sample-efficient Reinforcement Learning. CoRR Xin Liu, Yaran Chen, Dongbin Zhao
2024	J	`jnl`	MAT: Morphological Adaptive Transformer for Universal Morphology Policy Learning. IEEE Trans. Cogn. Dev. Syst. Boyu Li, Haoran Li, Yuanheng Zhu, Dongbin Zhao
2024	A*	`conf`	Meta-DT: Offline Meta-RL as Conditional Sequence Modeling with World Model Disentanglement. NeurIPS Zhi Wang, Li Zhang, Wenhao Wu, Yuanheng Zhu, Dongbin Zhao, Chunlin Chen
2024	J	`jnl`	Meta-DT: Offline Meta-RL as Conditional Sequence Modeling with World Model Disentanglement. CoRR Zhi Wang, Li Zhang, Wenhao Wu, Yuanheng Zhu, Dongbin Zhao, Chunlin Chen
2024	J	`jnl`	NVIF: Neighboring Variational Information Flow for Cooperative Large-Scale Multiagent Reinforcement Learning. IEEE Trans. Neural Networks Learn. Syst. Jiajun Chai, Yuanheng Zhu, Dongbin Zhao
2024	J	`jnl`	Online Preference-based Reinforcement Learning with Self-augmented Feedback from Large Language Model. CoRR Songjun Tu, Jingbo Sun, Qichao Zhang, Xiangyuan Lan, Dongbin Zhao
2024	J	`jnl`	PlanAgent: A Multi-modal Large Language Agent for Closed-loop Vehicle Motion Planning. CoRR Yupeng Zheng, Zebin Xing, Qichao Zhang, Bu Jin, Pengfei Li, Yuhang Zheng, Zhongpu Xia, Kun Zhan, Xianpeng Lang, Yaran Chen, Dongbin Zhao
2024	J	`jnl`	Planning-Inspired Hierarchical Trajectory Prediction via Lateral-Longitudinal Decomposition for Autonomous Driving. IEEE Trans. Intell. Veh. Ding Li, Qichao Zhang, Zhongpu Xia, Yupeng Zheng, Kuan Zhang, Menglong Yi, Wenda Jin, Dongbin Zhao
2024	J	`jnl`	Preliminary Investigation into Data Scaling Laws for Imitation Learning-Based End-to-End Autonomous Driving. CoRR 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
2024	J	`jnl`	Prototypical Context-Aware Dynamics for Generalization in Visual Control With Model-Based Reinforcement Learning. IEEE Trans. Ind. Informatics Junjie Wang, Qichao Zhang, Yao Mu, Dong Li, Dongbin Zhao, Yuzheng Zhuang, Ping Luo, Bin Wang, Jianye Hao
2024	J	`jnl`	SELU: Self-Learning Embodied MLLMs in Unknown Environments. CoRR Boyu Li, Haobin Jiang, Ziluo Ding, Xinrun Xu, Haoran Li, Dongbin Zhao, Zongqing Lu
2024	J	`jnl`	Stabilizing Diffusion Model for Robotic Control With Dynamic Programming and Transition Feasibility. IEEE Trans. Artif. Intell. Haoran Li, Yaocheng Zhang, Haowei Wen, Yuanheng Zhu, Dongbin Zhao
2024	—	`conf`	User Response Modeling in Reinforcement Learning for Ads Allocation. WWW (Companion Volume) Zhiyuan Zhang, Qichao Zhang, Xiaoxu Wu, Xiaowen Shi, Guogang Liao, Yongkang Wang, Xingxing Wang, Dongbin Zhao
2023	J	`jnl`	A Hierarchical Deep Reinforcement Learning Framework for 6-DOF UCAV Air-to-Air Combat. IEEE Trans. Syst. Man Cybern. Syst. Jiajun Chai, Wenzhang Chen, Yuanheng Zhu, Zong-xin Yao, Dongbin Zhao
2023	J	`jnl`	ABCP: Automatic Blockwise and Channelwise Network Pruning via Joint Search. IEEE Trans. Cogn. Dev. Syst. Jiaqi Li, Haoran Li, Yaran Chen, Zixiang Ding, Nannan Li, Mingjun Ma, Zicheng Duan, Dongbin Zhao
2023	B	`conf`	Advantage Constrained Proximal Policy Optimization in Multi-Agent Reinforcement Learning. IJCNN Weifan Li, Yuanheng Zhu, Dongbin Zhao
2023	J	`jnl`	Boosting Continuous Control with Consistency Policy. CoRR Yuhui Chen, Haoran Li, Dongbin Zhao
2023	J	`jnl`	ComSD: Balancing Behavioral Quality and Diversity in Unsupervised Skill Discovery. CoRR Xin Liu, Yaran Chen, Dongbin Zhao
2023	J	`jnl`	Cross-domain Random Pre-training with Prototypes for Reinforcement Learning. CoRR Xin Liu, Yaran Chen, Haoran Li, Boyu Li, Dongbin Zhao
2023	B	`conf`	Dense Attention: A Densely Connected Attention Mechanism for Vision Transformer. IJCNN Nannan Li, Yaran Chen, Dongbin Zhao
2023	J	`jnl`	Empirical Policy Optimization for n-Player Markov Games. IEEE Trans. Cybern. Yuanheng Zhu, Weifan Li, Mengchen Zhao, Jianye Hao, Dongbin Zhao
2023	J	`jnl`	Enhanced Rolling Horizon Evolution Algorithm With Opponent Model Learning: Results for the Fighting Game AI Competition. IEEE Trans. Games Zhentao Tang, Yuanheng Zhu, Dongbin Zhao, Simon M. Lucas
2023	J	`jnl`	Event-Triggered Communication Network With Limited-Bandwidth Constraint for Multi-Agent Reinforcement Learning. IEEE Trans. Neural Networks Learn. Syst. Guangzheng Hu, Yuanheng Zhu, Dongbin Zhao, Mengchen Zhao, Jianye Hao
2023	J	`jnl`	Multi-modal Learning based Prediction for Disease. CoRR Yaran Chen, Xueyu Chen, Yu Han, Haoran Li, Dongbin Zhao, Jingzhong Li, Xu Wang
2023	J	`jnl`	Multi-task safe reinforcement learning for navigating intersections in dense traffic. J. Frankl. Inst. Yuqi Liu, Yinfeng Gao, Qichao Zhang, Dawei Ding, Dongbin Zhao
2023	J	`jnl`	NeuronsGym: A Hybrid Framework and Benchmark for Robot Tasks with Sim2Real Policy Learning. CoRR Haoran Li, Shasha Liu, Mingjun Ma, Guangzheng Hu, Yaran Chen, Dongbin Zhao
2023	B	`conf`	NeuronsMAE: A Novel Multi-Agent Reinforcement Learning Environment for Cooperative and Competitive Multi-Robot Tasks. IJCNN Guangzheng Hu, Haoran Li, Shasha Liu, Yuanheng Zhu, Dongbin Zhao
2023	J	`jnl`	NeuronsMAE: A Novel Multi-Agent Reinforcement Learning Environment for Cooperative and Competitive Multi-Robot Tasks. CoRR Guangzheng Hu, Haoran Li, Shasha Liu, Mingjun Ma, Yuanheng Zhu, Dongbin Zhao
2023	J	`jnl`	Planning-inspired Hierarchical Trajectory Prediction for Autonomous Driving. CoRR Ding Li, Qichao Zhang, Zhongpu Xia, Kuan Zhang, Menglong Yi, Wenda Jin, Dongbin Zhao
2023	J	`jnl`	RoboGPT: an intelligent agent of making embodied long-term decisions for daily instruction tasks. CoRR Yaran Chen, Wenbo Cui, Yuanwen Chen, Mining Tan, Xinyao Zhang, Dongbin Zhao, He Wang
2023	A*	`conf`	STEPS: Joint Self-supervised Nighttime Image Enhancement and Depth Estimation. ICRA Yupeng Zheng, Chengliang Zhong, Pengfei Li, Huan-ang Gao, Yuhang Zheng, Bu Jin, Ling Wang, Hao Zhao, Guyue Zhou, Qichao Zhang, Dongbin Zhao
2023	J	`jnl`	STEPS: Joint Self-supervised Nighttime Image Enhancement and Depth Estimation. CoRR Yupeng Zheng, Chengliang Zhong, Pengfei Li, Huan-ang Gao, Yuhang Zheng, Bu Jin, Ling Wang, Hao Zhao, Guyue Zhou, Qichao Zhang, Dongbin Zhao
2023	J	`jnl`	Score-Based Equilibrium Learning in Multi-Player Finite Games with Imperfect Information. CoRR Runyu Lu, Yuanheng Zhu, Dongbin Zhao
2023	J	`jnl`	Soft Contrastive Learning With Q-Irrelevance Abstraction for Reinforcement Learning. IEEE Trans. Cogn. Dev. Syst. Minsong Liu, Luntong Li, Shuai Hao, Yuanheng Zhu, Dongbin Zhao
2023	J	`jnl`	Stacked BNAS: Rethinking Broad Convolutional Neural Network for Neural Architecture Search. IEEE Trans. Syst. Man Cybern. Syst. Zixiang Ding, Yaran Chen, Nannan Li, Dongbin Zhao, C. L. Philip Chen
2023	J	`jnl`	UNMAS: Multiagent Reinforcement Learning for Unshaped Cooperative Scenarios. IEEE Trans. Neural Networks Learn. Syst. Jiajun Chai, Weifan Li, Yuanheng Zhu, Dongbin Zhao, Zhe Ma, Kewu Sun, Jishiyu Ding
2023	J	`jnl`	Vision-based control in the open racing car simulator with deep and reinforcement learning. J. Ambient Intell. Humaniz. Comput. Yuanheng Zhu, Dongbin Zhao
2022	J	`jnl`	A Hierarchical Deep Reinforcement Learning Framework for 6-DOF UCAV Air-to-Air Combat. CoRR Jiajun Chai, Wenzhang Chen, Yuanheng Zhu, Zong-xin Yao, Dongbin Zhao
2022	J	`jnl`	BNAS-v2: Memory-Efficient and Performance-Collapse-Prevented Broad Neural Architecture Search. IEEE Trans. Syst. Man Cybern. Syst. Zixiang Ding, Yaran Chen, Nannan Li, Dongbin Zhao
2022	J	`jnl`	BNAS: Efficient Neural Architecture Search Using Broad Scalable Architecture. IEEE Trans. Neural Networks Learn. Syst. Zixiang Ding, Yaran Chen, Nannan Li, Dongbin Zhao, Zhiquan Sun, C. L. Philip Chen
2022	J	`jnl`	BViT: Broad Attention based Vision Transformer. CoRR Nannan Li, Yaran Chen, Weifan Li, Zixiang Ding, Dongbin Zhao
2022	J	`jnl`	BiFNet: Bidirectional Fusion Network for Road Segmentation. IEEE Trans. Cybern. Haoran Li, Yaran Chen, Qichao Zhang, Dongbin Zhao
2022	J	`jnl`	Boost 3-D Object Detection via Point Clouds Segmentation and Fused 3-D GIoU-L₁ Loss. IEEE Trans. Neural Networks Learn. Syst. Yaran Chen, Haoran Li, Ruiyuan Gao, Dongbin Zhao
2022	J	`jnl`	Conditional Goal-oriented Trajectory Prediction for Interacting Vehicles with Vectorized Representation. CoRR Ding Li, Qichao Zhang, Shuai Lu, Yifeng Pan, Dongbin Zhao
2022	—	`conf`	GAP: Goal-Aware Prediction with Hierarchical Interactive Representation for Vehicle Trajectory. DMBD (1) Ding Li, Qichao Zhang, Shuai Lu, Yifeng Pan, Dongbin Zhao
2022	J	`jnl`	Heuristic rank selection with progressively searching tensor ring network. Complex Intell. Syst. Nannan Li, Yu Pan, Yaran Chen, Zixiang Ding, Dongbin Zhao, Zenglin Xu
2022	J	`jnl`	Highway Lane Change Decision-Making via Attention-Based Deep Reinforcement Learning. IEEE CAA J. Autom. Sinica Junjie Wang, Qichao Zhang, Dongbin Zhao
2022	C	`conf`	LILAC: Learning a Leader for Cooperative Reinforcement Learning. CoG Yuqian Fu, Jiajun Chai, Yuanheng Zhu, Dongbin Zhao
2022	J	`jnl`	Missile guidance with assisted deep reinforcement learning for head-on interception of maneuvering target. Complex Intell. Syst. Weifan Li, Yuanheng Zhu, Dongbin Zhao
2022	J	`jnl`	ModuleNet: Knowledge-Inherited Neural Architecture Search. IEEE Trans. Cybern. Yaran Chen, Ruiyuan Gao, Fenggang Liu, Dongbin Zhao
2022	J	`jnl`	Multi-task Safe Reinforcement Learning for Navigating Intersections in Dense Traffic. CoRR Yuqi Liu, Qichao Zhang, Dongbin Zhao
2022	J	`jnl`	NVIF: Neighboring Variational Information Flow for Large-Scale Cooperative Multi-Agent Scenarios. CoRR Jiajun Chai, Yuanheng Zhu, Dongbin Zhao
2022	B	`conf`	Neurons Perception Dataset for RoboMaster AI Challenge. IJCNN Haoran Li, Zicheng Duan, Jiaqi Li, Mingjun Ma, Yaran Chen, Dongbin Zhao
2022	—	`conf`	Offline Reinforcement Learning for Autonomous Driving with Real World Driving Data. ITSC Xing Fang, Qichao Zhang, Yinfeng Gao, Dongbin Zhao
2022	J	`jnl`	Online Minimax Q Network Learning for Two-Player Zero-Sum Markov Games. IEEE Trans. Neural Networks Learn. Syst. Yuanheng Zhu, Dongbin Zhao
2022	J	`jnl`	Prototypical context-aware dynamics generalization for high-dimensional model-based reinforcement learning. CoRR Junjie Wang, Yao Mu, Dong Li, Qichao Zhang, Dongbin Zhao, Yuzheng Zhuang, Ping Luo, Bin Wang, Jianye Hao
2022	J	`jnl`	TrajGen: Generating Realistic and Diverse Trajectories With Reactive and Feasible Agent Behaviors for Autonomous Driving. IEEE Trans. Intell. Transp. Syst. Qichao Zhang, Yinfeng Gao, Yikang Zhang, Youtian Guo, Dawei Ding, Yunpeng Wang, Peng Sun, Dongbin Zhao
2022	J	`jnl`	TrajGen: Generating Realistic and Diverse Trajectories with Reactive and Feasible Agent Behaviors for Autonomous Driving. CoRR Qichao Zhang, Yinfeng Gao, Yikang Zhang, Youtian Guo, Dawei Ding, Yunpeng Wang, Peng Sun, Dongbin Zhao
2022	J	`jnl`	UNMAS: Multi-Agent Reinforcement Learning for Unshaped Cooperative Scenarios. CoRR Jiajun Chai, Weifan Li, Yuanheng Zhu, Dongbin Zhao, Zhe Ma, Kewu Sun, Jishiyu Ding
2021	—	`conf`	A Reinforcement Learning Benchmark for Autonomous Driving in Intersection Scenarios. SSCI Yuqi Liu, Qichao Zhang, Dongbin Zhao
2021	J	`jnl`	A Reinforcement Learning Benchmark for Autonomous Driving in Intersection Scenarios. CoRR Yuqi Liu, Qichao Zhang, Dongbin Zhao
2021	J	`jnl`	ABCP: Automatic Block-wise and Channel-wise Network Pruning via Joint Search. CoRR Jiaqi Li, Haoran Li, Yaran Chen, Zixiang Ding, Nannan Li, Mingjun Ma, Zicheng Duan, Dongbin Zhao
2021	—	`conf`	Benchmarking Lane-changing Decision-making for Deep Reinforcement Learning. ICRAI Junjie Wang, Qichao Zhang, Dongbin Zhao
2021	J	`jnl`	Benchmarking Lane-changing Decision-making for Deep Reinforcement Learning. CoRR Junjie Wang, Qichao Zhang, Dongbin Zhao
2021	J	`jnl`	CNN-G: Convolutional Neural Network Combined With Graph for Image Segmentation With Theoretical Analysis. IEEE Trans. Cogn. Dev. Syst. Yi Lu, Yaran Chen, Dongbin Zhao, Bao Liu, Zhichao Lai, Jianxin Chen
2021	J	`jnl`	Empirical Policy Optimization for n-Player Markov Games. CoRR Yuanheng Zhu, Dongbin Zhao, Mengchen Zhao, Dong Li
2021	J	`jnl`	MGRL: Graph neural network based inference in a Markov network with reinforcement learning for visual navigation. Neurocomputing Yi Lu, Yaran Chen, Dongbin Zhao, Dong Li
2021	J	`jnl`	MVM3Det: A Novel Method for Multi-view Monocular 3D Detection. CoRR Haoran Li, Zicheng Duan, Mingjun Ma, Yaran Chen, Jiaqi Li, Dongbin Zhao
2021	J	`jnl`	Optimal Feedback Control of Pedestrian Flow in Heterogeneous Corridors. IEEE Trans Autom. Sci. Eng. Yuanheng Zhu, Dongbin Zhao, Haibo He
2021	J	`jnl`	Stacked BNAS: Rethinking Broad Convolutional Neural Network for Neural Architecture Search. CoRR Zixiang Ding, Yaran Chen, Nannan Li, Dongbin Zhao
2020	J	`jnl`	A spatial-temporal attention model for human trajectory prediction. IEEE CAA J. Autom. Sinica Xiaodong Zhao, Yaran Chen, Jin Guo, Dongbin Zhao
2020	J	`jnl`	Advances in deep neural information processing. Neurocomputing Dongbin Zhao, Shukai Duan, Zheng Yan, Cesare Alippi
2020	B	`conf`	An Improved Minimax-Q Algorithm Based on Generalized Policy Iteration to Solve a Chaser-Invader Game. IJCNN Minsong Liu, Yuanheng Zhu, Dongbin Zhao
2020	J	`jnl`	BiFNet: Bidirectional Fusion Network for Road Segmentation. CoRR Haoran Li, Yaran Chen, Qichao Zhang, Dongbin Zhao
2020	C	`conf`	ContourRend: A Segmentation Method for Improving Contours by Rendering. ISNN Junwen Chen, Yi Lu, Yaran Chen, Dongbin Zhao, Zhonghua Pang
2020	J	`jnl`	ContourRend: A Segmentation Method for Improving Contours by Rendering. CoRR Junwen Chen, Yi Lu, Yaran Chen, Dongbin Zhao, Zhonghua Pang
2020	B	`conf`	Cooperative Multi-Agent Deep Reinforcement Learning with Counterfactual Reward. IJCNN Kun Shao, Yuanheng Zhu, Zhentao Tang, Dongbin Zhao
2020	J	`jnl`	Deep Reinforcement Learning based Automatic Exploration for Navigation in Unknown Environment. CoRR Haoran Li, Qichao Zhang, Dongbin Zhao
2020	J	`jnl`	Deep Reinforcement Learning-Based Automatic Exploration for Navigation in Unknown Environment. IEEE Trans. Neural Networks Learn. Syst. Haoran Li, Qichao Zhang, Dongbin Zhao
2020	—	`conf`	Device Placement Optimization for Deep Neural Networks via One-shot Model and Reinforcement Learning. SSCI Zixiang Ding, Yaran Chen, Nannan Li, Dongbin Zhao
2020	J	`jnl`	Dynamic Horizon Value Estimation for Model-based Reinforcement Learning. CoRR Junjie Wang, Qichao Zhang, Dongbin Zhao, Mengchen Zhao, Jianye Hao
2020	C	`conf`	Dynamically Weighted Model Predictive Control of Affine Nonlinear Systems Based on Two-Timescale Neurodynamic Optimization. ISNN Jiasen Wang, Jun Wang, Dongbin Zhao
2020	J	`jnl`	Efficient Neural Architecture Search: A Broad Version. CoRR Zixiang Ding, Yaran Chen, Nannan Li, Dongbin Zhao, C. L. Philip Chen
2020	J	`jnl`	Enhanced Rolling Horizon Evolution Algorithm with Opponent Model Learning: Results for the Fighting Game AI Competition. CoRR Zhentao Tang, Yuanheng Zhu, Dongbin Zhao, Simon M. Lucas
2020	J	`jnl`	Event-Triggered Multi-agent Reinforcement Learning with Communication under Limited-bandwidth Constraint. CoRR Guangzheng Hu, Yuanheng Zhu, Dongbin Zhao, Mengchen Zhao, Jianye Hao
2020	J	`jnl`	Faster Gradient-based NAS Pipeline Combining Broad Scalable Architecture with Confident Learning Rate. CoRR Zixiang Ding, Yaran Chen, Nannan Li, Dongbin Zhao
2020	J	`jnl`	Graph-FCN for image semantic segmentation. CoRR Yi Lu, Yaran Chen, Dongbin Zhao, Jianxin Chen
2020	J	`jnl`	Heuristic Rank Selection with Progressively Searching Tensor Ring Network. CoRR Nannan Li, Yu Pan, Yaran Chen, Zixiang Ding, Dongbin Zhao, Zenglin Xu
2020	J	`jnl`	Hierarchical optimal control for input-affine nonlinear systems through the formulation of Stackelberg game. Inf. Sci. Chaoxu Mu, Ke Wang, Qichao Zhang, Dongbin Zhao
2020	J	`jnl`	Invariant Adaptive Dynamic Programming for Discrete-Time Optimal Control. IEEE Trans. Syst. Man Cybern. Syst. Yuanheng Zhu, Dongbin Zhao, Haibo He
2020	J	`jnl`	LMI-Based Synthesis of String-Stable Controller for Cooperative Adaptive Cruise Control. IEEE Trans. Intell. Transp. Syst. Yuanheng Zhu, Haibo He, Dongbin Zhao
2020	J	`jnl`	ModuleNet: Knowledge-inherited Neural Architecture Search. CoRR Yaran Chen, Ruiyuan Gao, Fenggang Liu, Dongbin Zhao
2020	B	`conf`	RailNet: An Information Aggregation Network for Rail Track Segmentation. IJCNN Haoran Li, Qichao Zhang, Dongbin Zhao, Yaran Chen
2020	B	`conf`	Shift-Invariant Convolutional Network Search. IJCNN Nannan Li, Yaran Chen, Zixiang Ding, Dongbin Zhao
2020	J	`jnl`	Synthesis of Cooperative Adaptive Cruise Control With Feedforward Strategies. IEEE Trans. Veh. Technol. Yuanheng Zhu, Dongbin Zhao, Haibo He
2019	J	`jnl`	A Survey of Deep Reinforcement Learning in Video Games. CoRR Kun Shao, Zhentao Tang, Yuanheng Zhu, Nannan Li, Dongbin Zhao
2019	J	`jnl`	Adaptive Optimal Control of Heterogeneous CACC System With Uncertain Dynamics. IEEE Trans. Control. Syst. Technol. Yuanheng Zhu, Dongbin Zhao, Zhiguang Zhong
2019	J	`jnl`	Adaptive cruise control via adaptive dynamic programming with experience replay. Soft Comput. Bin Wang, Dongbin Zhao, Jin Cheng
2019	—	`conf`	Auto-encoder based Graph Convolutional Networks for Online Financial Anti-fraud. CIFEr Le Lv, Jianbo Cheng, Nanbo Peng, Min Fan, Dongbin Zhao, Jianhong Zhang
2019	J	`jnl`	Control-Limited Adaptive Dynamic Programming for Multi-Battery Energy Storage Systems. IEEE Trans. Smart Grid Yuanheng Zhu, Dongbin Zhao, Xiangjun Li, Ding Wang
2019	J	`jnl`	Data-Based Reinforcement Learning for Nonzero-Sum Games With Unknown Drift Dynamics. IEEE Trans. Cybern. Qichao Zhang, Dongbin Zhao
2019	B	`conf`	Deep Kalman Filter with Optical Flow for Multiple Object Tracking. SMC Yaran Chen, Dongbin Zhao, Haoran Li
2019	J	`jnl`	Deep Reinforcement Learning and Games [Guest Editorial]. IEEE Comput. Intell. Mag. Dongbin Zhao, Simon M. Lucas, Julian Togelius
2019	J	`jnl`	Deep sparse representation-based mid-level visual elements discovery in fine-grained classification. Soft Comput. Le Lv, Dongbin Zhao, Kun Shao
2019	J	`jnl`	Graph Attention Memory for Visual Navigation. CoRR Dong Li, Dongbin Zhao, Qichao Zhang, Yuzheng Zhuang, Bin Wang
2019	—	`conf`	Graph-FCN for Image Semantic Segmentation. ISNN (1) Yi Lu, Yaran Chen, Dongbin Zhao, Jianxin Chen
2019	B	`conf`	Lane Change Decision-making through Deep Reinforcement Learning with Rule-based Constraints. IJCNN Junjie Wang, Qichao Zhang, Dongbin Zhao, Yaran Chen
2019	J	`jnl`	Lane Change Decision-making through Deep Reinforcement Learning with Rule-based Constraints. CoRR Junjie Wang, Qichao Zhang, Dongbin Zhao, Yaran Chen
2019	B	`conf`	Model-Free Reinforcement Learning based Lateral Control for Lane Keeping. IJCNN Qichao Zhang, Rui Luo, Dongbin Zhao, Chaomin Luo, Dianwei Qian
2019	—	`conf`	Multi-Agent Reinforcement Learning Based on Clustering in Two-Player Games. SSCI Weifan Li, Yuanheng Zhu, Dongbin Zhao
2019	B	`conf`	Optimal Pedestrian Evacuation in Building with Consecutive Differential Dynamic Programming. IJCNN Yuanheng Zhu, Haibo He, Dongbin Zhao, Zhongsheng Hou
2019	—	`conf`	Pseudoinverse Learners: New Trend and Applications to Big Data. INNSBDDL Ping Guo, Dongbin Zhao, Min Han, Shoubo Feng
2019	J	`jnl`	Reinforcement Learning and Deep Learning Based Lateral Control for Autonomous Driving [Application Notes]. IEEE Comput. Intell. Mag. Dong Li, Dongbin Zhao, Qichao Zhang, Yaran Chen
2019	—	`conf`	Reinforcement Learning based Lane Change Decision-Making with Imaginary Sampling. SSCI Dong Li, Dongbin Zhao, Qichao Zhang
2019	—	`conf`	Simplified Space Based Neural Architecture Search. SSCI Zixiang Ding, Yaran Chen, Nannan Li, Dongbin Zhao
2019	J	`jnl`	StarCraft Micromanagement With Reinforcement Learning and Curriculum Transfer Learning. IEEE Trans. Emerg. Top. Comput. Intell. Kun Shao, Yuanheng Zhu, Dongbin Zhao
2018	J	`jnl`	A Gradient-Based Reinforcement Learning Algorithm for Multiple Cooperative Agents. IEEE Access Zhen Zhang, Dongqing Wang, Dongbin Zhao, Qiaoni Han, Tingting Song
2018	—	`conf`	A Review of Computational Intelligence for StarCraft AI. SSCI Zhentao Tang, Kun Shao, Yuanheng Zhu, Dong Li, Dongbin Zhao, Tingwen Huang
2018	J	`jnl`	A pdf-Free Change Detection Test Based on Density Difference Estimation. IEEE Trans. Neural Networks Learn. Syst. Li Bu, Cesare Alippi, Dongbin Zhao
2018	B	`conf`	A temporal-based deep learning method for multiple objects detection in autonomous driving. IJCNN Yaran Chen, Dongbin Zhao, Haoran Li, Dong Li, Ping Guo
2018	—	`conf`	An Autonomous Driving Experience Platform with Learning-Based Functions. SSCI Dong Li, Dongbin Zhao, Qichao Zhang, Yuanheng Zhu
2018	—	`conf`	An Efficient Network for Lane Segmentation. ICCSIP (1) Haoran Li, Dongbin Zhao, Yaran Chen, Qichao Zhang
2018	J	`jnl`	Comprehensive comparison of online ADP algorithms for continuous-time optimal control. Artif. Intell. Rev. Yuanheng Zhu, Dongbin Zhao
2018	B	`conf`	DeepSign: Deep Learning based Traffic Sign Recognition. IJCNN Dong Li, Dongbin Zhao, Yaran Chen, Qichao Zhang
2018	—	`conf`	Driving Control with Deep and Reinforcement Learning in The Open Racing Car Simulator. ICONIP (3) Yuanheng Zhu, Dongbin Zhao
2018	J	`jnl`	Event-Based Robust Control for Uncertain Nonlinear Systems Using Adaptive Dynamic Programming. IEEE Trans. Neural Networks Learn. Syst. Qichao Zhang, Dongbin Zhao, Ding Wang
2018	—	`conf`	Learning Battles in ViZDoom via Deep Reinforcement Learning. CIG Kun Shao, Dongbin Zhao, Nannan Li, Yuanheng Zhu
2018	B	`conf`	Model-Free Reinforcement Learning for Fully Cooperative Multi-Agent Graphical Games. IJCNN Qichao Zhang, Dongbin Zhao, Frank L. Lewis
2018	J	`jnl`	Multi-task learning for dangerous object detection in autonomous driving. Inf. Sci. Yaran Chen, Dongbin Zhao, Le Lv, Qichao Zhang
2018	J	`jnl`	Policy Iteration for H IEEE Trans. Cybern. Yuanheng Zhu, Dongbin Zhao, Xiong Yang, Qichao Zhang
2018	J	`jnl`	Reinforcement Learning and Deep Learning based Lateral Control for Autonomous Driving. CoRR Dong Li, Dongbin Zhao, Qichao Zhang, Yaran Chen
2018	J	`jnl`	Special Issue on Deep Reinforcement Learning and Adaptive Dynamic Programming. IEEE Trans. Neural Networks Learn. Syst. Dongbin Zhao, Derong Liu, Frank L. Lewis, José C. Príncipe, Stefano Squartini
2018	J	`jnl`	StarCraft Micromanagement with Reinforcement Learning and Curriculum Transfer Learning. CoRR Kun Shao, Yuanheng Zhu, Dongbin Zhao
2018	—	`conf`	Value Iteration Algorithm for Optimal Consensus Control of Multi-agent Systems. ICONIP (7) Qichao Zhang, Dongbin Zhao
2018	B	`conf`	Visual Navigation with Actor-Critic Deep Reinforcement Learning. IJCNN Kun Shao, Dongbin Zhao, Yuanheng Zhu, Qichao Zhang
2017	J	`jnl`	A Semi-Supervised Predictive Sparse Decomposition Based on Task-Driven Dictionary Learning. Cogn. Comput. Le Lv, Dongbin Zhao, Qingqiong Deng
2017	J	`jnl`	An Incremental Change Detection Test Based on Density Difference Estimation. IEEE Trans. Syst. Man Cybern. Syst. Li Bu, Dongbin Zhao, Cesare Alippi
2017	—	`conf`	Cooperative reinforcement learning for multiple units combat in starCraft. SSCI Kun Shao, Yuanheng Zhu, Dongbin Zhao
2017	J	`jnl`	Data-driven adaptive dynamic programming for continuous-time fully cooperative games with partially constrained inputs. Neurocomputing Qichao Zhang, Dongbin Zhao, Yuanheng Zhu
2017	J	`jnl`	Deep Reinforcement Learning With Visual Attention for Vehicle Classification. IEEE Trans. Cogn. Dev. Syst. Dongbin Zhao, Yaran Chen, Le Lv
2017	J	`jnl`	Event-Triggered H IEEE Trans. Syst. Man Cybern. Syst. Qichao Zhang, Dongbin Zhao, Yuanheng Zhu
2017	J	`jnl`	Event-Triggered Optimal Control for Partially Unknown Constrained-Input Systems via Adaptive Dynamic Programming. IEEE Trans. Ind. Electron. Yuanheng Zhu, Dongbin Zhao, Haibo He, Junhong Ji
2017	—	`conf`	Event-triggered integral reinforcement learning for nonlinear continuous-time systems. SSCI Qichao Zhang, Dongbin Zhao
2017	—	`conf`	FMR-GA - A Cooperative Multi-agent Reinforcement Learning Algorithm Based on Gradient Ascent. ICONIP (1) Zhen Zhang, Dongqing Wang, Dongbin Zhao, Tingting Song
2017	J	`jnl`	FMRQ - A Multiagent Reinforcement Learning Algorithm for Fully Cooperative Tasks. IEEE Trans. Cybern. Zhen Zhang, Dongbin Zhao, Junwei Gao, Dongqing Wang, Yujie Dai
2017	J	`jnl`	Guest Editorial Special Issue on New Developments in Neural Network Structures for Signal Processing, Autonomous Decision, and Adaptive Control. IEEE Trans. Neural Networks Learn. Syst. Yong-Duan Song, Frank L. Lewis, Marios M. Polycarpou, Danil V. Prokhorov, Dongbin Zhao
2017	J	`jnl`	Iterative Adaptive Dynamic Programming for Solving Unknown Nonlinear Zero-Sum Game Based on Online Data. IEEE Trans. Neural Networks Learn. Syst. Yuanheng Zhu, Dongbin Zhao, Xiangjun Li
2017	J	`jnl`	Model-Free Optimal Control Based Intelligent Cruise Control with Hardware-in-the-Loop Demonstration [Research Frontier]. IEEE Comput. Intell. Mag. Dongbin Zhao, Zhongpu Xia, Qichao Zhang
2017	—	`conf`	Multi-task Learning with Cartesian Product-Based Multi-objective Combination for Dangerous Object Detection. ISNN (1) Yaran Chen, Dongbin Zhao
2017	—	`ed.`	Neural Information Processing - 24th International Conference, ICONIP 2017, Guangzhou, China, November 14-18, 2017, Proceedings, Part I ICONIP (1) Derong Liu, Shengli Xie, Yuanqing Li, Dongbin Zhao, El-Sayed M. El-Alfy
2017	—	`ed.`	Neural Information Processing - 24th International Conference, ICONIP 2017, Guangzhou, China, November 14-18, 2017, Proceedings, Part II ICONIP (2) Derong Liu, Shengli Xie, Yuanqing Li, Dongbin Zhao, El-Sayed M. El-Alfy
2017	—	`ed.`	Neural Information Processing - 24th International Conference, ICONIP 2017, Guangzhou, China, November 14-18, 2017, Proceedings, Part III ICONIP (3) Derong Liu, Shengli Xie, Yuanqing Li, Dongbin Zhao, El-Sayed M. El-Alfy
2017	—	`ed.`	Neural Information Processing - 24th International Conference, ICONIP 2017, Guangzhou, China, November 14-18, 2017, Proceedings, Part IV ICONIP (4) Derong Liu, Shengli Xie, Yuanqing Li, Dongbin Zhao, El-Sayed M. El-Alfy
2017	—	`ed.`	Neural Information Processing - 24th International Conference, ICONIP 2017, Guangzhou, China, November 14-18, 2017, Proceedings, Part V ICONIP (5) Derong Liu, Shengli Xie, Yuanqing Li, Dongbin Zhao, El-Sayed M. El-Alfy
2017	—	`ed.`	Neural Information Processing - 24th International Conference, ICONIP 2017, Guangzhou, China, November 14-18, 2017, Proceedings, Part VI ICONIP (6) Derong Liu, Shengli Xie, Yuanqing Li, Dongbin Zhao, El-Sayed M. El-Alfy
2017	—	`conf`	Off-Policy Reinforcement Learning for Partially Unknown Nonzero-Sum Games. ICONIP (1) Qichao Zhang, Dongbin Zhao, Sibo Zhang
2017	B	`conf`	Policy gradient methods with Gaussian process modelling acceleration. IJCNN Dong Li, Dongbin Zhao, Qichao Zhang, Chaomin Luo
2016	B	`conf`	A general adaptive dynamic programming approach with experience replay. IJCNN Bin Wang, Dongbin Zhao, Jin Cheng, Yuan Xu, Yueyang Li
2016	—	`conf`	ADP with MCTS algorithm for Gomoku. SSCI Zhentao Tang, Dongbin Zhao, Kun Shao, Le Lv
2016	B	`conf`	Convolutional fitted Q iteration for vision-based control problems. IJCNN Dongbin Zhao, Yuanheng Zhu, Le Lv, Yaran Chen, Qichao Zhang
2016	J	`jnl`	Data-Based Adaptive Critic Designs for Nonlinear Robust Optimal Control With Uncertain Dynamics. IEEE Trans. Syst. Man Cybern. Syst. Ding Wang, Derong Liu, Qichao Zhang, Dongbin Zhao
2016	—	`conf`	Deep reinforcement learning with experience replay based on SARSA. SSCI Dongbin Zhao, Haitao Wang, Kun Shao, Yuanheng Zhu
2016	B	`conf`	Ensemble LSDD-based change detection tests. IJCNN Li Bu, Cesare Alippi, Dongbin Zhao
2016	—	`conf`	Event-Triggered Adaptive Dynamic Programming for Uncertain Nonlinear Systems. ICCSIP Qichao Zhang, Dongbin Zhao, Ding Wang
2016	J	`jnl`	Experience Replay for Optimal Control of Nonzero-Sum Game Systems With Unknown Dynamics. IEEE Trans. Cybern. Dongbin Zhao, Qichao Zhang, Ding Wang, Yuanheng Zhu
2016	J	`jnl`	Fuzzy-Based Goal Representation Adaptive Dynamic Programming. IEEE Trans. Fuzzy Syst. Yufei Tang, Haibo He, Zhen Ni, Xiangnan Zhong, Dongbin Zhao, Xin Xu
2016	—	`conf`	Image clustering based on deep sparse representations. SSCI Le Lv, Dongbin Zhao, Qingqiong Deng
2016	B	`conf`	Model-free reinforcement learning for nonlinear zero-sum games with simultaneous explorations. IJCNN Qichao Zhang, Dongbin Zhao, Yuanheng Zhu, Xi Chen
2015	—	`conf`	A Pdf-Free Change Detection Test for Data Streams Monitoring. SSCI Li Bu, Dongbin Zhao, Cesare Alippi
2015	J	`jnl`	A data-based online reinforcement learning algorithm satisfying probably approximately correct principle. Neural Comput. Appl. Yuanheng Zhu, Dongbin Zhao
2015	C	`ed.`	Advances in Neural Networks - ISNN 2015 - 12th International Symposium on Neural Networks, ISNN 2015, Jeju, South Korea, October 15-18, 2015, Proceedings ISNN Xiaolin Hu, Yousheng Xia, Yunong Zhang, Dongbin Zhao
2015	J	`jnl`	Computational Energy Management in Smart Grids. Neurocomputing Stefano Squartini, Derong Liu, Francesco Piazza, Dongbin Zhao, Haibo He
2015	J	`jnl`	Computational Intelligence for Changing Environments [Guest Editorial]. IEEE Comput. Intell. Mag. Amir Hussain, Dacheng Tao, Q. M. Jonathan Wu, Dongbin Zhao
2015	J	`jnl`	Convergence Proof of Approximate Policy Iteration for Undiscounted Optimal Control of Discrete-Time Systems. Cogn. Comput. Yuanheng Zhu, Dongbin Zhao, Haibo He, Junhong Ji
2015	J	`jnl`	Convergence analysis and application of fuzzy-HDP for nonlinear discrete-time HJB systems. Neurocomputing Yuanheng Zhu, Dongbin Zhao, Derong Liu
2015	C	`conf`	Event-Triggered H ∞ Control for Continuous-Time Nonlinear System. ISNN Dongbin Zhao, Qichao Zhang, Xiangjun Li, Lingda Kong
2015	J	`jnl`	GrDHP: A General Utility Function Representation for Dual Heuristic Dynamic Programming. IEEE Trans. Neural Networks Learn. Syst. Zhen Ni, Haibo He, Dongbin Zhao, Xin Xu, Danil V. Prokhorov
2015	J	`jnl`	MEC - A Near-Optimal Online Reinforcement Learning Algorithm for Continuous Deterministic Systems. IEEE Trans. Neural Networks Learn. Syst. Dongbin Zhao, Yuanheng Zhu
2015	J	`jnl`	Model-Free Optimal Control for Affine Nonlinear Systems With Convergence Analysis. IEEE Trans Autom. Sci. Eng. Dongbin Zhao, Zhongpu Xia, Ding Wang
2015	B	`conf`	Online reinforcement learning by Bayesian inference. IJCNN Zhongpu Xia, Dongbin Zhao
2015	B	`conf`	Thermal comfort control based on MEC algorithm for HVAC systems. IJCNN Dong Li, Dongbin Zhao, Yuanheng Zhu, Zhongpu Xia
2014	B	`conf`	A Kaiman filter-based actor-critic learning approach. IJCNN Bin Wang, Dongbin Zhao
2014	—	`conf`	A data-based online reinforcement learning algorithm with high-efficient exploration. ADPRL Yuanheng Zhu, Dongbin Zhao
2014	B	`conf`	A hierarchical classification algorithm for evaluating energy consumption behaviors. IJCNN Li Bu, Dongbin Zhao, Yu Liu, Qiang Guan
2014	J	`jnl`	Detecting and Reacting to Changes in Sensing Units: The Active Classifier Case. IEEE Trans. Syst. Man Cybern. Syst. Cesare Alippi, Derong Liu, Dongbin Zhao, Li Bu
2014	J	`jnl`	Dual Heuristic dynamic Programming for nonlinear discrete-time uncertain systems with state delay. Neurocomputing Bin Wang, Dongbin Zhao, Cesare Alippi, Derong Liu
2014	B	`conf`	Event-triggered reinforcement learning approach for unknown nonlinear continuous-time system. IJCNN Xiangnan Zhong, Zhen Ni, Haibo He, Xin Xu, Dongbin Zhao
2014	J	`jnl`	Full-range adaptive cruise control based on supervised adaptive dynamic programming. Neurocomputing Dongbin Zhao, Zhaohui Hu, Zhongpu Xia, Cesare Alippi, Yuanheng Zhu, Ding Wang
2013	J	`jnl`	A neural-network-based iterative GDHP approach for solving a class of nonlinear optimal control problems with control constraints. Neural Comput. Appl. Ding Wang, Derong Liu, Dongbin Zhao, Yuzhu Huang, Dehua Zhang
2013	B	`conf`	A prior-free encode-decode change detection test to inspect datastreams for concept drift. IJCNN Cesare Alippi, Li Bu, Dongbin Zhao
2013	J	`jnl`	A supervised Actor-Critic approach for adaptive cruise control. Soft Comput. Dongbin Zhao, Bin Wang, Derong Liu
2013	—	`conf`	Adaptive optimal control for the uncertain driving habit problem in adaptive cruise control system. ICVES Dongbin Zhao, Zhongpu Xia
2013	—	`ed.`	Advances in Brain Inspired Cognitive Systems - 6th International Conference, BICS 2013, Beijing, China, June 9-11, 2013. Proceedings BICS Derong Liu, Cesare Alippi, Dongbin Zhao, Amir Hussain
2013	J	`jnl`	Data-based control, optimization, modeling and applications. Neural Comput. Appl. Dongbin Zhao, Yi Shen, Zhanshan Wang, Xiaolin Hu
2013	J	`jnl`	Neural sliding-mode load frequency controller design of power systems. Neural Comput. Appl. Dianwei Qian, Dongbin Zhao, Jianqiang Yi, Xiangjie Liu
2013	—	`conf`	Online Model-Free RLSPI Algorithm for Nonlinear Discrete-Time Non-affine Systems. ICONIP (2) Yuanheng Zhu, Dongbin Zhao
2013	—	`conf`	Real-time tracking on adaptive critic design with uniformly ultimately bounded condition. ADPRL Zhen Ni, Xiao Fang, Haibo He, Dongbin Zhao, Xin Xu
2013	J	`jnl`	Special issue on intelligent control and information processing. Soft Comput. Dongbin Zhao, Cesare Alippi, Derong Liu, Huaguang Zhang
2012	—	`conf`	A Hierarchical Neural Network Architecture for Classification. ISNN (1) Jing Wang, Haibo He, Yuan Cao, Jin Xu, Dongbin Zhao
2012	J	`jnl`	Computational Intelligence in Urban Traffic Signal Control: A Survey. IEEE Trans. Syst. Man Cybern. Part C Dongbin Zhao, Yujie Dai, Zhen Zhang
2012	J	`jnl`	Data-driven optimal algorithms and their applications to pattern recognition. Neurocomputing Huaguang Zhang, Cesare Alippi, Dongbin Zhao
2012	B	`conf`	Neural and fuzzy dynamic programming for under-actuated systems. IJCNN Dongbin Zhao, Yuanheng Zhu, Haibo He
2012	J	`jnl`	Neural-Network-Based Optimal Control for a Class of Unknown Discrete-Time Nonlinear Systems Using Globalized Dual Heuristic Programming. IEEE Trans Autom. Sci. Eng. Derong Liu, Ding Wang, Dongbin Zhao, Qinglai Wei, Ning Jin
2012	J	`jnl`	Optimal control of unknown nonaffine nonlinear discrete-time systems based on adaptive dynamic programming. Autom. Ding Wang, Derong Liu, Qinglai Wei, Dongbin Zhao, Ning Jin
2012	B	`conf`	Reinforcement learning control based on multi-goal representation using hierarchical heuristic dynamic programming. IJCNN Zhen Ni, Haibo He, Dongbin Zhao, Danil V. Prokhorov
2012	—	`conf`	SVM-Based Just-in-Time Adaptive Classifiers. ICONIP (2) Cesare Alippi, Li Bu, Dongbin Zhao
2012	J	`jnl`	Self-teaching adaptive dynamic programming for Gomoku. Neurocomputing Dongbin Zhao, Zhen Zhang, Yujie Dai
2012	—	`conf`	The Optimal Control of Discrete-Time Delay Nonlinear System with Dual Heuristic Dynamic Programming. ICONIP (1) Bin Wang, Dongbin Zhao
2011	J	`jnl`	Adaptive Cruise Control Based on Reinforcement Leaning with Shaping Rewards. J. Adv. Comput. Intell. Intell. Informatics Zhaohui Hu, Dongbin Zhao
2011	—	`conf`	Adaptive dynamic programming for optimal control of unknown nonlinear discrete-time systems. ADPRL Derong Liu, Ding Wang, Dongbin Zhao
2011	J	`jnl`	DHP Method for Ramp Metering of Freeway Traffic. IEEE Trans. Intell. Transp. Syst. Dongbin Zhao, Xuerui Bai, Fei-Yue Wang, Jing Xu, Wensheng Yu
2011	J	`jnl`	Guest Editorial Data-Based Control, Modeling, and Optimization. IEEE Trans. Neural Networks Tianyou Chai, Zhongsheng Hou, Frank L. Lewis, Amir Hussain, Dongbin Zhao
2011	—	`conf`	Neural network based online traffic signal controller design with reinforcement training. ITSC Yujie Dai, Jinzong Hu, Dongbin Zhao, Fenghua Zhu
2011	B	`conf`	Neural-network-based optimal control for a class of nonlinear cdiscrete-time systems with control constraints using the citerative GDHP algorithm. IJCNN Derong Liu, Ding Wang, Dongbin Zhao
2011	—	`conf`	Supervised adaptive dynamic programming based adaptive cruise control. ADPRL Dongbin Zhao, Zhaohui Hu
2010	B	`conf`	A comparative study of urban traffic signal control with reinforcement learning and Adaptive Dynamic Programming. IJCNN Yujie Dai, Dongbin Zhao, Jianqiang Yi
2010	—	`conf`	A traffic signal control algorithm for isolated intersections based on adaptive dynamic programming. ICNSC Yujie Dai, Dongbin Zhao
2010	—	`conf`	Reinforcement learning for multi-agent patrol policy. IEEE ICCI Zhaohui Hu, Dongbin Zhao
2009	—	`conf`	ADHDP(λ) strategies based coordinated ramps metering with queuing consideration. ADPRL Xuerui Bai, Dongbin Zhao, Jianqiang Yi
2009	J	`jnl`	Adaptive Integrated Control for Omnidirectional Mobile Manipulators Based on Neural-Network. Int. J. Cogn. Informatics Nat. Intell. Xiang-min Tan, Dongbin Zhao, Jianqiang Yi, Dong Xu
2009	B	`conf`	Analysis and design of monotonic type-2 fuzzy inference systems. FUZZ-IEEE Chengdong Li, Jianqiang Yi, Dongbin Zhao
2009	C	`conf`	Control of a rope-driven self-leveling device for leveling adjustment. ACC Yi Yu, Jianqiang Yi, Chengdong Li, Dongbin Zhao, Jianhong Zhang
2009	B	`conf`	Control of the TORA system using SIRMs based type-2 fuzzy logic. FUZZ-IEEE Chengdong Li, Jianqiang Yi, Dongbin Zhao
2009	B	`conf`	Coordinated multiple ramps metering based on neuro-fuzzy adaptive dynamic programming. IJCNN Xuerui Bai, Dongbin Zhao, Jianqiang Yi
2009	A	`conf`	Fuzzy logic based adjustment control of a cable-driven auto-leveling parallel robot. IROS Yi Yu, Jianqiang Yi, Chengdong Li, Dongbin Zhao, Jianhong Zhang
2009	J	`jnl`	Genetic Algorithm-Based Fuzzy Controller To Avoid Network Congestion. Intell. Autom. Soft Comput. Weirong Liu, Jianqiang Yi, Dongbin Zhao
2009	J	`jnl`	Trajectory Tracking Control of Omnidirectional Wheeled Mobile Manipulators: Robust Neural Network-Based Sliding Mode Approach. IEEE Trans. Syst. Man Cybern. Part B Dong Xu, Dongbin Zhao, Jianqiang Yi, Xiang-min Tan
2008	—	`conf`	A Fuzzy Logic Controller with Adaptive Dynamic Programming Optimization for Traffic Signals. FSKD (3) Yi Tian, Dongbin Zhao, Jianqiang Yi
2008	—	`conf`	A Novel Type-Reduction Method for Interval Type-2 Fuzzy Logic Systems. FSKD (1) Chengdong Li, Jianqiang Yi, Dongbin Zhao
2008	C	`conf`	A nonlinear rate control method for network congestion control. ACC Yanping Xiang, Jianqiang Yi, Dongbin Zhao
2008	—	`conf`	Adaptive Dynamic Programming for Multi-intersections Traffic Signal Intelligent Control. ITSC Tao Li, Dongbin Zhao, Jianqiang Yi
2008	B	`conf`	Adaptive dynamic neuro-fuzzy system for traffic signal control. IJCNN Tao Li, Dongbin Zhao, Jianqiang Yi
2008	C	`conf`	Adaptive hybrid control for omnidirectional mobile manipulators using neural-network. ACC Xiang-min Tan, Dongbin Zhao, Jianqiang Yi, Dong Xu
2008	A*	`conf`	Control of a class of under-actuated systems with saturation using hierarchical sliding mode. ICRA Dianwei Qian, Jianqiang Yi, Dongbin Zhao
2008	—	`conf`	Coordinated Control of Multiple Ramp Metering Based on DHP (λ) Controller. ITSC Xuerui Bai, Dongbin Zhao, Jianqiang Yi, Jing Xu
2008	J	`jnl`	DynaCAS: Computational Experiments and Decision Support for ITS. IEEE Intell. Syst. Nan Zhang, Fei-Yue Wang, Fenghua Zhu, Dongbin Zhao, Shuming Tang
2008	C	`conf`	Heuristic Dynamic Programming strategy with eligibility traces. ACC Tao Li, Dongbin Zhao, Jianqiang Yi
2008	B	`conf`	Ramp metering based on on-line ADHDP (lambda) controller. IJCNN Xuerui Bai, Dongbin Zhao, Jianqiang Yi, Jing Xu
2008	C	`conf`	Robust control using incremental sliding mode for underactuated systems with mismatched uncertainties. ACC Yinxing Hao, Jianqiang Yi, Dongbin Zhao, Dianwei Qian
2008	A*	`conf`	Trajectory tracking control of omnidirecitonal wheeled mobile manipulators: Robust neural network based sliding mode approach. ICRA Dong Xu, Dongbin Zhao, Jianqiang Yi, Xiang-min Tan, Zonghai Chen
2007	—	`conf`	A Comparison of Four Data Mining Models: Bayes, Neural Network, SVM and Decision Trees in Identifying Syndromes in Coronary Heart Disease. ISNN (1) Jianxin Chen, Yanwei Xing, Guangcheng Xi, Jing Chen, Jianqiang Yi, Dongbin Zhao, Jie Wang
2007	—	`conf`	Application of ADP to Intersection Signal Control. ISNN (1) Tao Li, Dongbin Zhao, Jianqiang Yi
2007	—	`conf`	Approximate Dynamic Programming for Ship Course Control. ISNN (1) Xuerui Bai, Jianqiang Yi, Dongbin Zhao
2007	J	`jnl`	BP neural network prediction-based variable-period sampling approach for networked control systems. Appl. Math. Comput. Jianqiang Yi, Qian Wang, Dongbin Zhao, John T. Wen
2007	—	`conf`	Decentralized Control with Optimal Control Allocation. ICNSC Weirong Liu, Jianqiang Yi, Dongbin Zhao
2007	C	`conf`	Hierarchical Sliding Mode Control to Swing up a Pendubot. ACC Dianwei Qian, Jianqiang Yi, Dongbin Zhao
2007	J	`jnl`	Improved mean shift segmentation approach for natural images. Appl. Math. Comput. Yiping Hong, Jianqiang Yi, Dongbin Zhao
2007	—	`conf`	Incremental Sliding Mode Controller for Large-Scale Underactuated Syetem. ICNSC Yinxing Hao, Jianqiang Yi, Dongbin Zhao, Dianwei Qian
2007	A	`conf`	Motion regulation of redundantly actuated omni-directional Wheeled Mobile Robots with internal force control. IROS Dongbin Zhao, Jianqiang Yi, Xuyue Deng
2007	—	`conf`	Multiple Approximate Dynamic Programming Controllers for Congestion Control. ISNN (1) Yanping Xiang, Jianqiang Yi, Dongbin Zhao
2007	A*	`conf`	Robust Control Using Sliding Mode for a Class of Under-Actuated Systems With Mismatched Uncertainties. ICRA Dianwei Qian, Jianqiang Yi, Dongbin Zhao
2007	A	`conf`	Robust adaptive tracking control of omnidirecitonal wheeled mobile manipulators. IROS Dong Xu, Dongbin Zhao, Jianqiang Yi, Xiang-min Tan
2007	C	`conf`	Stabilization of an Underactuated Surface Vessel via Discontinuous Control. ACC Jin Cheng, Jianqiang Yi, Dongbin Zhao
2007	—	`conf`	Unified Model and Robust Neural-Network Control of Omnidirectional Mobile Manipulators. IEEE ICCI Xiang-min Tan, Dongbin Zhao, Jianqiang Yi, Zeng-Guang Hou, Dong Xu
2006	B	`conf`	A New Fuzzy Autopilot for Way-point Tracking Control of Ships. FUZZ-IEEE Jin Cheng, Jianqiang Yi, Dongbin Zhao
2006	—	`conf`	A Particle Swarm Optimized Fuzzy Neural Network Control for Acrobot. ISNN (2) Dongbin Zhao, Jianqiang Yi
2006	—	`conf`	Analysis of Infectious Disease Data Based on Evolutionary Computation. WISI Dongbin Zhao, Jianqiang Yi
2006	—	`conf`	Autopilot Design Based on Fuzzy Logic and Genetic Algorithm. ICICIC (2) Xionghui Lu, Jianqiang Yi, Dongbin Zhao
2006	—	`conf`	Exponential Convergence Flow Control Model for Congestion Control. ICIC (1) Weirong Liu, Jianqiang Yi, Dongbin Zhao, John T. Wen
2006	A	`conf`	Hierarchical Sliding Mode Control for Series Double Inverted Pendulums System. IROS Dianwei Qian, Jianqiang Yi, Dongbin Zhao, Yinxing Hao
2006	C	`conf`	Motion and squeeze force control for omnidirectional wheeled mobile robots. ACC Xuyue Deng, Dongbin Zhao, Jianqiang Yi, J. T. Wen
2006	—	`conf`	Proposal of Incremental Sliding Mode Control. ICICIC (1) Yinxing Hao, Jianqiang Yi, Dongbin Zhao, Wei Wang
2006	—	`conf`	Robot Planning with Artificial Potential Field Guided Ant Colony Optimization Algorithm. ICNC (2) Dongbin Zhao, Jianqiang Yi
2006	—	`conf`	Time Based Congestion Control (TBCC) for High Speed High Delay Networks. ICIC (1) Yanping Xiang, Jianqiang Yi, Dongbin Zhao, John T. Wen
2005	—	`conf`	A Reinforcement Learning Based Radial-Bassis Function Network Control System. ISNN (1) Jianing Li, Jianqiang Yi, Dongbin Zhao, Guangcheng Xi
2005	J	`jnl`	A computed torque controller for uncertain robotic manipulator systems: Fuzzy approach. Fuzzy Sets Syst. Zuoshi Song, Jianqiang Yi, Dongbin Zhao, Xinchun Li
2005	—	`conf`	Adaptive Inverse Control System Based on Least Squares Support Vector Machines. ISNN (3) Xiaojing Liu, Jianqiang Yi, Dongbin Zhao
2005	C	`conf`	Adaptive inverse disturbance canceling control system based on least square support vector machines. ACC Xiaojing Liu, Jianqiang Yi, Dongbin Zhao
2005	A	`conf`	Cascade sliding-mode controller for large-scale underactuated systems. IROS Jianqiang Yi, Wei Wang, Dongbin Zhao, Xiaojing Liu
2005	C	`conf`	Design of cascade fuzzy sliding-mode controller. ACC Wei Wang, Jianqiang Yi, Dongbin Zhao, Xiaojing Liu
2005	A	`conf`	Double layer sliding mode control for second-order underactuated mechanical systems. IROS Wei Wang, Jianqiang Yi, Dongbin Zhao, Xiaojing Liu
2005	J	`jnl`	Effective pose estimation from point pairs. Image Vis. Comput. Zhiguang Zhong, Jianqiang Yi, Dongbin Zhao, Yiping Hong
2005	A*	`conf`	Pose Estimation and Structure Recovery from Point Pairs. ICRA Zhiguang Zhong, Jianqiang Yi, Dongbin Zhao
2005	C	`conf`	Robust motion control for nonholonomic constrained mechanical systems: sliding mode approach. ACC Zuozhi Song, Dongbin Zhao, Jianqiang Yi, Xinchun Li
2005	A	`conf`	Tracking control of mobile manipulator with dynamical uncertainties. IROS Zuoshi Song, Dongbin Zhao, Jianqiang Yi, Xinchun Li
2004	C	`conf`	A robust doorplate recognition system. ICARCV Yiping Hong, Jianqiang Yi, Dongbin Zhao, Xinzheng Li
2004	C	`conf`	Motion vision for mobile robot localization. ICARCV Zhiguang Zhong, Jianqiang Yi, Dongbin Zhao, Yiping Hong, Xinzheng Li
2004	A*	`conf`	Passive Adaptive Grasp Multi-fingered Humanoid Robot Hand with High Under-actuated Function. ICRA Wenzeng Zhang, Qiang Chen, Zhenguo Sun, Dongbin Zhao
2004	C	`conf`	Smooth time-varying regulation of nonholonomic chained systems. ICARCV Zuoshi Song, Jianqiang Yi, Dongbin Zhao, Xinchun Li
2004	C	`conf`	Swing-free transporting of two-dimensional overhead crane using sliding mode fuzzy control. ACC Diantong Liu, Jianqiang Yi, Dongbin Zhao, Wei Wang
2003	A*	`conf`	Under-actuated passive adaptive grasp humanoid robot hand with control of grasping force. ICRA Wenzeng Zhang, Qiang Chen, Zhenguo Sun, Dongbin Zhao