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Yunduan Cui
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2020 – today
- 2025
- [j18]Zujia Miao, Cuiping Shao, Huiyun Li, Yunduan Cui, Zhimin Tang:
Adaptive sensor attack detection and defense framework for autonomous vehicles based on density. Comput. Secur. 148: 104149 (2025) - [j17]Kangshuai Zhang, Quancheng Zhang, Qi Liu, Yang Yang, Yunduan Cui, Lei Peng:
MCAGU-Net: A model for composite fault diagnosis of multi-sensor node networks. Eng. Appl. Artif. Intell. 141: 109814 (2025) - [j16]Zhaolin Yuan, ZiXuan Zhang, Xiaorui Li, Yunduan Cui, Ming Li, Xiaojuan Ban:
Controlling Partially Observed Industrial System Based on Offline Reinforcement Learning - A Case Study of Paste Thickener. IEEE Trans. Ind. Informatics 21(1): 49-59 (2025) - [j15]Zhiwei Shang, Renxing Li, Chunhua Zheng, Huiyun Li, Yunduan Cui:
Relative Entropy Regularized Sample-Efficient Reinforcement Learning With Continuous Actions. IEEE Trans. Neural Networks Learn. Syst. 36(1): 475-485 (2025) - 2024
- [j14]Yixuan Ku, Chen Guo, Kangshuai Zhang, Yunduan Cui, Hongfeng Shu, Yang Yang, Lei Peng:
Toward Directed Spatiotemporal Graph: A New Idea for Heterogeneous Traffic Prediction. IEEE Intell. Transp. Syst. Mag. 16(2): 70-87 (2024) - [j13]Yunduan Cui, Wenbo Shi, Huan Yang, Cuiping Shao, Lei Peng, Huiyun Li:
Probabilistic Model-Based Reinforcement Learning Unmanned Surface Vehicles Using Local Update Sparse Spectrum Approximation. IEEE Trans. Ind. Informatics 20(2): 1283-1293 (2024) - [j12]Jia Liu, Yunduan Cui, Jianghua Duan, Zhengmin Jiang, Zhongming Pan, Kun Xu, Huiyun Li:
Reinforcement Learning-Based High-Speed Path Following Control for Autonomous Vehicles. IEEE Trans. Veh. Technol. 73(6): 7603-7615 (2024) - [i5]Yixuan Wang, Zhenwu Chen, Kangshuai Zhang, Yunduan Cui, Lei Peng:
Efficient Large-Scale Urban Parking Prediction: Graph Coarsening Based on Real-Time Parking Service Capability. CoRR abs/2410.04022 (2024) - 2023
- [j11]Renxing Li, Zhiwei Shang, Chunhua Zheng, Huiyun Li, Qing Liang, Yunduan Cui:
Efficient distributional reinforcement learning with Kullback-Leibler divergence regularization. Appl. Intell. 53(21): 24847-24863 (2023) - [i4]Wenjun Huang, Yunduan Cui, Huiyun Li, Xinyu Wu:
Practical Probabilistic Model-based Deep Reinforcement Learning by Integrating Dropout Uncertainty and Trajectory Sampling. CoRR abs/2309.11089 (2023) - [i3]Chenyang Miao, Yunduan Cui, Huiyun Li, Xinyu Wu:
Effective Multi-Agent Deep Reinforcement Learning Control with Relative Entropy Regularization. CoRR abs/2309.14727 (2023) - 2022
- [j10]Yujun Lai, Gavin Paul, Yunduan Cui, Takamitsu Matsubara:
User intent estimation during robot learning using physical human robot interaction primitives. Auton. Robots 46(2): 421-436 (2022) - [j9]Yunduan Cui, Lei Peng, Huiyun Li:
Filtered Probabilistic Model Predictive Control-Based Reinforcement Learning for Unmanned Surface Vehicles. IEEE Trans. Ind. Informatics 18(10): 6950-6961 (2022) - [c24]Yunfu Deng, Kun Xu, Yue Hu, Yunduan Cui, Gengzhao Xiang, Zhongming Pan:
Learning Effectively from Intervention for Visual-based Autonomous Driving. ITSC 2022: 1-6 - [c23]Jincheng Wang, Kun Xu, Cuiping Shao, Lei Peng, Yunduan Cui:
Data-Driven Probabilistic Model of Magneto-Rheological Damper for Intelligent Vehicles using Gaussian Processes. ITSC 2022: 1094-1099 - [c22]Cuiping Shao, Zujia Miao, Beizhang Chen, Yunduan Cui, Huiyun Li, Hongfeng Shu:
An Attack Detection Method Based on Spatiotemporal Correlation for Autonomous Vehicles Sensors. ITSC 2022: 2187-2193 - [c21]Deliang Liu, Kun Xu, Yunduan Cui, Yujie Zou, Zhongming Pan:
Learning-based Motion Control of Autonomous Vehicles Considering Varying Adhesion Road Surfaces. ITSC 2022: 4259-4264 - [c20]Lei Xia, Cuiping Shao, Huiyun Li, Yunduan Cui:
Robust Model-based Reinforcement Learning USV System Guided by Lyapunov Neural Networks. ROBIO 2022: 1976-1981 - 2021
- [j8]Yunduan Cui, Shigeki Osaki, Takamitsu Matsubara:
Autonomous boat driving system using sample-efficient model predictive control-based reinforcement learning approach. J. Field Robotics 38(3): 331-354 (2021) - [j7]Cheng-Yu Kuo, Andreas Schaarschmidt, Yunduan Cui, Tamim Asfour, Takamitsu Matsubara:
Uncertainty-Aware Contact-Safe Model-Based Reinforcement Learning. IEEE Robotics Autom. Lett. 6(2): 3918-3925 (2021) - [c19]Naitian Deng, Yunduan Cui, Shitian Zhang, Huiyun Li:
Autonomous Vehicle Motion Planning using Kernelized Movement Primitives. ISNCC 2021: 1-6 - [c18]Shitian Zhang, Yunduan Cui, Naitian Deng, Huiyun Li:
Model Predictive Control of Autonomous Driving using Unscented Kalman Filter with Sparse Spectrum Gaussian Processes. ISNCC 2021: 1-6 - [c17]Zhiwei Shang, Huiyun Li, Yunduan Cui:
Shiftable Dynamic Policy Programming for Efficient and Robust Reinforcement Learning Control. ROBIO 2021: 1688-1693 - 2020
- [j6]Yunduan Cui, Junichiro Ooga, Akihito Ogawa, Takamitsu Matsubara:
Probabilistic active filtering with gaussian processes for occluded object search in clutter. Appl. Intell. 50(12): 4310-4324 (2020) - [c16]Cheng-Yu Kuo, Yunduan Cui, Takamitsu Matsubara:
Sample-and-computation-efficient Probabilistic Model Predictive Control with Random Features. ICRA 2020: 307-313 - [c15]Lingwei Zhu, Yunduan Cui, Takamitsu Matsubara:
Dynamic Actor-Advisor Programming for Scalable Safe Reinforcement Learning. ICRA 2020: 10681-10687 - [i2]Cheng-Yu Kuo, Andreas Schaarschmidt, Yunduan Cui, Tamim Asfour, Takamitsu Matsubara:
Uncertainty-aware Contact-safe Model-based Reinforcement Learning. CoRR abs/2010.08169 (2020)
2010 – 2019
- 2019
- [j5]Yunduan Cui, James Poon, Jaime Valls Miró, Kimitoshi Yamazaki, Kenji Sugimoto, Takamitsu Matsubara:
Environment-adaptive interaction primitives through visual context for human-robot motor skill learning. Auton. Robots 43(5): 1225-1240 (2019) - [j4]James Poon, Yunduan Cui, Jaime Valls Miró, Takamitsu Matsubara:
Learning from demonstration for locally assistive mobility aids. Int. J. Intell. Robotics Appl. 3(3): 255-268 (2019) - [j3]Yoshihisa Tsurumine, Yunduan Cui, Eiji Uchibe, Takamitsu Matsubara:
Deep reinforcement learning with smooth policy update: Application to robotic cloth manipulation. Robotics Auton. Syst. 112: 72-83 (2019) - [c14]Yoshihisa Tsurumine, Yunduan Cui, Kimitoshi Yamazaki, Takamitsu Matsubara:
Generative Adversarial Imitation Learning with Deep P-Network for Robotic Cloth Manipulation. Humanoids 2019: 274-280 - [c13]James Poon, Yunduan Cui, Junichiro Ooga, Akihito Ogawa, Takamitsu Matsubara:
Probabilistic Active Filtering for Object Search in Clutter. ICRA 2019: 7256-7261 - [c12]Yunduan Cui, Shigeki Osaki, Takamitsu Matsubara:
Reinforcement Learning Boat Autopilot: A Sample-efficient and Model Predictive Control based Approach. IROS 2019: 2868-2875 - [i1]Yunduan Cui, Shigeki Osaki, Takamitsu Matsubara:
Reinforcement Learning Ship Autopilot: Sample-efficient and Model Predictive Control-based Approach. CoRR abs/1901.07905 (2019) - 2018
- [c11]Takamitsu Matsubara, Yu Norinaga, Yuto Ozawa, Yunduan Cui:
Policy Transfer from Simulations to Real World by Transfer Component Analysis. CASE 2018: 264-269 - [c10]Yunduan Cui, Lingwei Zhu, Morihiro Fujisaki, Hiroaki Kanokogi, Takamitsu Matsubara:
Factorial Kernel Dynamic Policy Programming for Vinyl Acetate Monomer Plant Model Control. CASE 2018: 304-309 - [c9]James Poon, Yunduan Cui, Jaime Valls Miró, Takamitsu Matsubara:
Learning Mobility Aid Assistance via Decoupled Observation Models. ICARCV 2018: 1903-1910 - 2017
- [j2]Yunduan Cui, Takamitsu Matsubara, Kenji Sugimoto:
Pneumatic artificial muscle-driven robot control using local update reinforcement learning. Adv. Robotics 31(8): 397-412 (2017) - [j1]Yunduan Cui, Takamitsu Matsubara, Kenji Sugimoto:
Kernel dynamic policy programming: Applicable reinforcement learning to robot systems with high dimensional states. Neural Networks 94: 13-23 (2017) - [c8]James Poon, Yunduan Cui, Jaime Valls Miró, Takamitsu Matsubara, Kenji Sugimoto:
Local driving assistance from demonstration for mobility aids. ICRA 2017: 5935-5941 - [c7]Yoshihisa Tsurumine, Yunduan Cui, Eiji Uchibe, Takamitsu Matsubara:
Deep dynamic policy programming for robot control with raw images. IROS 2017: 1545-1550 - 2016
- [c6]Yunduan Cui, Takamitsu Matsubara, Kenji Sugimoto:
Kernel dynamic policy programming: Practical reinforcement learning for high-dimensional robots. Humanoids 2016: 662-667 - [c5]Yunduan Cui, James Poon, Takamitsu Matsubara, Jaime Valls Miró, Kenji Sugimoto, Kimitoshi Yamazaki:
Environment-adaptive interaction primitives for human-robot motor skill learning. Humanoids 2016: 711-717 - 2015
- [c4]Yunduan Cui, Takamitsu Matsubara, Kenji Sugimoto:
Local Update Dynamic Policy Programming in reinforcement learning of pneumatic artificial muscle-driven humanoid hand control. Humanoids 2015: 1083-1089 - 2014
- [c3]Yunduan Cui, Kazuhiko Takahashi, Masafumi Hashimoto:
Remarks on robot controller application of Clifford multi-layer neural networks. AMC 2014: 410-415 - [c2]Kazuhiko Takahashi, Sae Takahashi, Yunduan Cui, Masafumi Hashimoto:
Remarks on Computational Facial Expression Recognition from HOG Features Using Quaternion Multi-layer Neural Network. EANN 2014: 15-24 - 2013
- [c1]Yunduan Cui, Kazuhiko Takahashi, Masafumi Hashimoto:
Design of control systems using quaternion neural network and its application to inverse kinematics of robot manipulator. SII 2013: 527-532
Coauthor Index
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last updated on 2025-01-24 17:17 CET by the dblp team
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