Yunduan Cui - RankMe

64 papers A* 4A 2C 4Journal 38Unranked 16

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	BDRP: A Binary Divisive Recursive Planner for Path Planning. IEEE Robotics Autom. Lett. Zhaoyue Wang, Enyuan Zhang, Feng Li, Mohammad Masum Billah, Yunduan Cui, Jia Liu, Kun Xu
2026	J	`jnl`	Embodied AI: Bridging Robotics and AI Toward Real-World Applications [From the Guest Editors]. IEEE Robotics Autom. Mag. Hao Su, Yunduan Cui, Cosimo Della Santina, Kuan Fang, Jens Kober, Yanan Li, Yunzhu Li, Takamitsu Matsubara, Maria Pozzi, Bolei Zhou
2026	J	`jnl`	Safe reinforcement learning for vision-based robotic manipulation in human-centered environments. Int. J. Intell. Robotics Appl. Fawad Khan, Wei Feng, Zhiyong Wang, Tianlun Huang, Xiao Liu, Yunduan Cui, Weijun Wang
2025	J	`jnl`	Adaptive sensor attack detection and defense framework for autonomous vehicles based on density. Comput. Secur. Zujia Miao, Cuiping Shao, Huiyun Li, Yunduan Cui, Zhimin Tang
2025	J	`jnl`	Attack Detection and Identification Method for Autonomous Vehicle Localization Systems Based on Gaussian Processes. IEEE Trans. Veh. Technol. Zujia Miao, Cuiping Shao, Huiyun Li, Zhimin Tang, Yunduan Cui
2025	J	`jnl`	Controlling Partially Observed Industrial System Based on Offline Reinforcement Learning - A Case Study of Paste Thickener. IEEE Trans. Ind. Informatics Zhaolin Yuan, Zixuan Zhang, Xiaorui Li, Yunduan Cui, Ming Li, Xiaojuan Ban
2025	J	`jnl`	Effective Multi-Agent Deep Reinforcement Learning Control With Relative Entropy Regularization. IEEE Trans Autom. Sci. Eng. Chenyang Miao, Yunduan Cui, Huiyun Li, Xinyu Wu
2025	J	`jnl`	Effective Probabilistic Neural Networks Model for Model-Based Reinforcement Learning USV. IEEE Trans Autom. Sci. Eng. Wenjun Huang, Yunduan Cui, Huiyun Li, Xinyu Wu
2025	J	`jnl`	Effective Reinforcement Learning Control using Conservative Soft Actor-Critic. CoRR Xinyi Yuan, Zhiwei Shang, Wenjun Huang, Yunduan Cui, Di Chen, Meixin Zhu
2025	J	`jnl`	Efficient Large-Scale Urban Parking Prediction: Graph Coarsening Based on Real-Time Parking Service Capability. IEEE Intell. Transp. Syst. Mag. Yixuan Wang, Zhenwu Chen, Kangshuai Zhang, Yunduan Cui, Yang Yang, Lei Peng
2025	J	`jnl`	Estimating Lyapunov Region of Attraction for Robust Model-Based Reinforcement Learning USV. IEEE Trans Autom. Sci. Eng. Lei Xia, Yunduan Cui, Zhengkun Yi, Huiyun Li, Xinyu Wu
2025	—	`conf`	Improving Stability and Efficiency of Reinforcement Learning using Reward Functions based on Lyapunov Neural Networks. RCAR Mingyu Sun, Chenyang Miao, Yidong Chen, Tianfu Sun, Yunduan Cui
2025	J	`jnl`	InstanceBEV: Unifying Instance and BEV Representation for Global Modeling. CoRR Feng Li, Kun Xu, Zhaoyue Wang, Yunduan Cui, Mohammad Masum Billah, Jia Liu
2025	J	`jnl`	MCAGU-Net: A model for composite fault diagnosis of multi-sensor node networks. Eng. Appl. Artif. Intell. Kangshuai Zhang, Quancheng Zhang, Qi Liu, Yang Yang, Yunduan Cui, Lei Peng
2025	J	`jnl`	Multi-Goal Dexterous Hand Manipulation using Probabilistic Model-based Reinforcement Learning. CoRR Yingzhuo Jiang, Wenjun Huang, Rongdun Lin, Chenyang Miao, Tianfu Sun, Yunduan Cui
2025	J	`jnl`	Practical Probabilistic Model-Based Reinforcement Learning by Integrating Dropout Uncertainty and Trajectory Sampling. IEEE Trans. Neural Networks Learn. Syst. Wenjun Huang, Yunduan Cui, Huiyun Li, Xinyu Wu
2025	J	`jnl`	Practical Reinforcement Learning Using Time-Efficient Model-Based Policy Optimization. IEEE Trans Autom. Sci. Eng. Wenjun Huang, Yunduan Cui, Lei Peng, Xinyu Wu
2025	J	`jnl`	Reducing the value function over-estimation by Kullback-Leibler divergence regularized distributional actor-critic. Appl. Intell. Mingrong Gong, Zhengkun Yi, Yidong Chen, Huiyun Li, Yunduan Cui
2025	J	`jnl`	Relative Entropy Regularized Sample-Efficient Reinforcement Learning With Continuous Actions. IEEE Trans. Neural Networks Learn. Syst. Zhiwei Shang, Renxing Li, Chunhua Zheng, Huiyun Li, Yunduan Cui
2025	J	`jnl`	Sample-efficient multi-agent reinforcement learning with high update-to-data ratio and state-action embedding. Appl. Intell. Chenyang Miao, Yingzhuo Jiang, Yunduan Cui, Yidong Chen, Tianfu Sun
2025	—	`conf`	Tactile Driven Reinforcement Learning Information Reconstruction for Enhanced Dexterous Hand Telemanipulation. ROBIO Chenyang Miao, Mingyu Sun, Yingzhuo Jiang, Yidong Chen, Yunduan Cui
2024	J	`jnl`	Efficient Large-Scale Urban Parking Prediction: Graph Coarsening Based on Real-Time Parking Service Capability. CoRR Yixuan Wang, Zhenwu Chen, Kangshuai Zhang, Yunduan Cui, Lei Peng
2024	J	`jnl`	Probabilistic Model-Based Reinforcement Learning Unmanned Surface Vehicles Using Local Update Sparse Spectrum Approximation. IEEE Trans. Ind. Informatics Yunduan Cui, Wenbo Shi, Huan Yang, Cuiping Shao, Lei Peng, Huiyun Li
2024	J	`jnl`	Reinforcement Learning-Based High-Speed Path Following Control for Autonomous Vehicles. IEEE Trans. Veh. Technol. Jia Liu, Yunduan Cui, Jianghua Duan, Zhengmin Jiang, Zhongming Pan, Kun Xu, Huiyun Li
2024	J	`jnl`	Toward Directed Spatiotemporal Graph: A New Idea for Heterogeneous Traffic Prediction. IEEE Intell. Transp. Syst. Mag. Yixuan Ku, Chen Guo, Kangshuai Zhang, Yunduan Cui, Hongfeng Shu, Yang Yang, Lei Peng
2023	J	`jnl`	Effective Multi-Agent Deep Reinforcement Learning Control with Relative Entropy Regularization. CoRR Chenyang Miao, Yunduan Cui, Huiyun Li, Xinyu Wu
2023	J	`jnl`	Efficient distributional reinforcement learning with Kullback-Leibler divergence regularization. Appl. Intell. Renxing Li, Zhiwei Shang, Chunhua Zheng, Huiyun Li, Qing Liang, Yunduan Cui
2023	J	`jnl`	Practical Probabilistic Model-based Deep Reinforcement Learning by Integrating Dropout Uncertainty and Trajectory Sampling. CoRR Wenjun Huang, Yunduan Cui, Huiyun Li, Xinyu Wu
2022	—	`conf`	An Attack Detection Method Based on Spatiotemporal Correlation for Autonomous Vehicles Sensors. ITSC Cuiping Shao, Zujia Miao, Beizhang Chen, Yunduan Cui, Huiyun Li, Hongfeng Shu
2022	—	`conf`	Data-Driven Probabilistic Model of Magneto-Rheological Damper for Intelligent Vehicles using Gaussian Processes. ITSC Jincheng Wang, Kun Xu, Cuiping Shao, Lei Peng, Yunduan Cui
2022	J	`jnl`	Filtered Probabilistic Model Predictive Control-Based Reinforcement Learning for Unmanned Surface Vehicles. IEEE Trans. Ind. Informatics Yunduan Cui, Lei Peng, Huiyun Li
2022	—	`conf`	Learning Effectively from Intervention for Visual-based Autonomous Driving. ITSC Yunfu Deng, Kun Xu, Yue Hu, Yunduan Cui, Gengzhao Xiang, Zhongming Pan
2022	—	`conf`	Learning-based Motion Control of Autonomous Vehicles Considering Varying Adhesion Road Surfaces. ITSC Deliang Liu, Kun Xu, Yunduan Cui, Yujie Zou, Zhongming Pan
2022	—	`conf`	Robust Model-based Reinforcement Learning USV System Guided by Lyapunov Neural Networks. ROBIO Lei Xia, Cuiping Shao, Huiyun Li, Yunduan Cui
2022	J	`jnl`	User intent estimation during robot learning using physical human robot interaction primitives. Auton. Robots Yujun Lai, Gavin Paul, Yunduan Cui, Takamitsu Matsubara
2021	C	`conf`	Autonomous Vehicle Motion Planning using Kernelized Movement Primitives. ISNCC Naitian Deng, Yunduan Cui, Shitian Zhang, Huiyun Li
2021	J	`jnl`	Autonomous boat driving system using sample-efficient model predictive control-based reinforcement learning approach. J. Field Robotics Yunduan Cui, Shigeki Osaki, Takamitsu Matsubara
2021	C	`conf`	Model Predictive Control of Autonomous Driving using Unscented Kalman Filter with Sparse Spectrum Gaussian Processes. ISNCC Shitian Zhang, Yunduan Cui, Naitian Deng, Huiyun Li
2021	—	`conf`	Shiftable Dynamic Policy Programming for Efficient and Robust Reinforcement Learning Control. ROBIO Zhiwei Shang, Huiyun Li, Yunduan Cui
2021	J	`jnl`	Uncertainty-Aware Contact-Safe Model-Based Reinforcement Learning. IEEE Robotics Autom. Lett. Cheng-Yu Kuo, Andreas Schaarschmidt, Yunduan Cui, Tamim Asfour, Takamitsu Matsubara
2020	A*	`conf`	Dynamic Actor-Advisor Programming for Scalable Safe Reinforcement Learning. ICRA Lingwei Zhu, Yunduan Cui, Takamitsu Matsubara
2020	J	`jnl`	Probabilistic active filtering with gaussian processes for occluded object search in clutter. Appl. Intell. Yunduan Cui, Junichiro Ooga, Akihito Ogawa, Takamitsu Matsubara
2020	A*	`conf`	Sample-and-computation-efficient Probabilistic Model Predictive Control with Random Features. ICRA Cheng-Yu Kuo, Yunduan Cui, Takamitsu Matsubara
2020	J	`jnl`	Uncertainty-aware Contact-safe Model-based Reinforcement Learning. CoRR Cheng-Yu Kuo, Andreas Schaarschmidt, Yunduan Cui, Tamim Asfour, Takamitsu Matsubara
2019	J	`jnl`	Deep reinforcement learning with smooth policy update: Application to robotic cloth manipulation. Robotics Auton. Syst. Yoshihisa Tsurumine, Yunduan Cui, Eiji Uchibe, Takamitsu Matsubara
2019	J	`jnl`	Environment-adaptive interaction primitives through visual context for human-robot motor skill learning. Auton. Robots Yunduan Cui, James Poon, Jaime Valls Miró, Kimitoshi Yamazaki, Kenji Sugimoto, Takamitsu Matsubara
2019	—	`conf`	Generative Adversarial Imitation Learning with Deep P-Network for Robotic Cloth Manipulation. Humanoids Yoshihisa Tsurumine, Yunduan Cui, Kimitoshi Yamazaki, Takamitsu Matsubara
2019	J	`jnl`	Learning from demonstration for locally assistive mobility aids. Int. J. Intell. Robotics Appl. James Poon, Yunduan Cui, Jaime Valls Miró, Takamitsu Matsubara
2019	A*	`conf`	Probabilistic Active Filtering for Object Search in Clutter. ICRA James Poon, Yunduan Cui, Junichiro Ooga, Akihito Ogawa, Takamitsu Matsubara
2019	A	`conf`	Reinforcement Learning Boat Autopilot: A Sample-efficient and Model Predictive Control based Approach. IROS Yunduan Cui, Shigeki Osaki, Takamitsu Matsubara
2019	J	`jnl`	Reinforcement Learning Ship Autopilot: Sample-efficient and Model Predictive Control-based Approach. CoRR Yunduan Cui, Shigeki Osaki, Takamitsu Matsubara
2018	—	`conf`	Factorial Kernel Dynamic Policy Programming for Vinyl Acetate Monomer Plant Model Control. CASE Yunduan Cui, Lingwei Zhu, Morihiro Fujisaki, Hiroaki Kanokogi, Takamitsu Matsubara
2018	C	`conf`	Learning Mobility Aid Assistance via Decoupled Observation Models. ICARCV James Poon, Yunduan Cui, Jaime Valls Miró, Takamitsu Matsubara
2018	—	`conf`	Policy Transfer from Simulations to Real World by Transfer Component Analysis. CASE Takamitsu Matsubara, Yu Norinaga, Yuto Ozawa, Yunduan Cui
2017	A	`conf`	Deep dynamic policy programming for robot control with raw images. IROS Yoshihisa Tsurumine, Yunduan Cui, Eiji Uchibe, Takamitsu Matsubara
2017	J	`jnl`	Kernel dynamic policy programming: Applicable reinforcement learning to robot systems with high dimensional states. Neural Networks Yunduan Cui, Takamitsu Matsubara, Kenji Sugimoto
2017	A*	`conf`	Local driving assistance from demonstration for mobility aids. ICRA James Poon, Yunduan Cui, Jaime Valls Miró, Takamitsu Matsubara, Kenji Sugimoto
2017	J	`jnl`	Pneumatic artificial muscle-driven robot control using local update reinforcement learning. Adv. Robotics Yunduan Cui, Takamitsu Matsubara, Kenji Sugimoto
2016	—	`conf`	Environment-adaptive interaction primitives for human-robot motor skill learning. Humanoids Yunduan Cui, James Poon, Takamitsu Matsubara, Jaime Valls Miró, Kenji Sugimoto, Kimitoshi Yamazaki
2016	—	`conf`	Kernel dynamic policy programming: Practical reinforcement learning for high-dimensional robots. Humanoids Yunduan Cui, Takamitsu Matsubara, Kenji Sugimoto
2015	—	`conf`	Local Update Dynamic Policy Programming in reinforcement learning of pneumatic artificial muscle-driven humanoid hand control. Humanoids Yunduan Cui, Takamitsu Matsubara, Kenji Sugimoto
2014	C	`conf`	Remarks on Computational Facial Expression Recognition from HOG Features Using Quaternion Multi-layer Neural Network. EANN Kazuhiko Takahashi, Sae Takahashi, Yunduan Cui, Masafumi Hashimoto
2014	—	`conf`	Remarks on robot controller application of Clifford multi-layer neural networks. AMC Yunduan Cui, Kazuhiko Takahashi, Masafumi Hashimoto
2013	—	`conf`	Design of control systems using quaternion neural network and its application to inverse kinematics of robot manipulator. SII Yunduan Cui, Kazuhiko Takahashi, Masafumi Hashimoto