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ORCIDRui Yan 0005
Person information
- affiliation: Zhejiang University of Technology, College of Computer Science and Technology, Hangzhou, China
- affiliation (2009-2014): A*STAR, Institute for Infocomm Research, Singapore
- affiliation (2006-2008): University of Queensland, Brisbane, QLD, Australia
- affiliation (PhD 2006): National University of Singapore, Department of Electrical and Computer Engineering, Singapore
- affiliation (2001): Sichuan University, Neuromorphic Computing Research Center, China
Other persons with the same name
- Rui Yan — disambiguation page
- Rui Yan 0001
![[0000-0002-3356-6823]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0000-0002-3356-6823")
— Peking University, Center for Data Science, Beijing, China - Rui Yan 0002 — Tsinghua University, Department of Automation, Beijing, China
- Rui Yan 0003 — Dalian University of Technology, School of Biomedical Engineering, China
- Rui Yan 0004 — Zhejiang University, College of Electrical Engineering, Hangzhou, China
- Rui Yan 0006 — University of California San Diego, Department of Mathematics, USA
- Rui Yan 0007 — Rensselaer Polytechnic Institute, Troy, NY, USA
- Rui Yan 0008 — University of Toronto, Canada
- Rui Yan 0009 — Chinese Academy of Sciences, Institute of Computing Technology, Beijing, China (and 1 more)
- Rui Yan 0010 — Nanjing University, Department of Computer Science and Technology, China
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2020 – today
- 2025
[j46]Xinkai Chu, Jian-Ping Mei, Hang Zhou, Jie Chen, Rui Yan, Jing Fan:
Soft-label generator based on classifier weights. Neurocomputing 656: 131436 (2025)- [j45]Huajin Tang, Pengjie Gu, Jayawan H. B. Wijekoon, MHD Anas Alsakkal, Ziming Wang, Jiangrong Shen, Rui Yan, Gang Pan:
Neuromorphic Auditory Perception by Neural Spiketrum. IEEE Trans. Emerg. Top. Comput. Intell. 9(1): 292-303 (2025) - [j44]Jiaqiang Jiang, Haohui Ding, Haixia Wang, Rui Yan:
Deep Spiking Neural Networks Driven by Adaptive Interval Membrane Potential for Temporal Credit Assignment Problem. IEEE Trans. Emerg. Top. Comput. Intell. 9(1): 717-728 (2025) - [j43]Haixia Wang, Kun Xiao, Chengfang Zhu, Ronghua Liang, Yilong Zhang, Peng Chen, Yipeng Liu, Rui Yan:
OCT Fingerprint Presentation Attack Detection Based on Dual-Branch Reconstruction Differences. IEEE Trans. Instrum. Meas. 74: 1-14 (2025) - [j42]Ziming Wang, Yuhao Zhang, Shuang Lian, Xiaoxin Cui, Rui Yan, Huajin Tang:
Toward High-Accuracy and Low-Latency Spiking Neural Networks With Two-Stage Optimization. IEEE Trans. Neural Networks Learn. Syst. 36(2): 3189-3203 (2025) - [c53]Lang Qin, Ziming Wang, Runhao Jiang, Rui Yan, Huajin Tang:
GRSN: Gated Recurrent Spiking Neurons for POMDPs and MARL. AAAI 2025: 1483-1491 - [c52]Shuang Lian, Qianhui Liu, Ziling Wang, Jia Su, Zhibin Zuo, Yi Zhang, Rui Yan, Huajin Tang:
Two-Stream Spiking Neural Network for Event-based Action Recognition. ICASSP 2025: 1-5 - [c51]Ziling Wang, Ziming Wang, Shuang Lian, Rui Yan, Huajin Tang:
Adaptive Gradient-Based Timesurface for Event-based Detection. ICASSP 2025: 1-5 - [c50]Bo Yang, Shibo Zhou, Chaohui Lin, Qingao Chai, Rui Yan, De Ma, Gang Pan, Huajin Tang:
HSRL: A Hierarchical Control System Based on Spiking Deep Reinforcement Learning for Robot Navigation. ICRA 2025: 13384-13390 - [c49]Jiaqiang Jiang, Lei Wang, Runhao Jiang, Jing Fan, Rui Yan:
Adaptive Gradient Learning for Spiking Neural Networks by Exploiting Membrane Potential Dynamics. IJCAI 2025: 4164-4172 - [i12]Shang Xu, Jiayu Zhang, Ziming Wang, Runhao Jiang, Rui Yan, Huajin Tang:
ASRC-SNN: Adaptive Skip Recurrent Connection Spiking Neural Network. CoRR abs/2505.11455 (2025) - [i11]Jiaqiang Jiang, Lei Wang, Runhao Jiang, Jing Fan, Rui Yan:
Adaptive Gradient Learning for Spiking Neural Networks by Exploiting Membrane Potential Dynamics. CoRR abs/2505.11863 (2025) - 2024
- [j41]Jiayu Zhang, Jiangrong Shen, Zeke Wang, Qinghai Guo, Rui Yan, Gang Pan, Huajin Tang:
SpikingMiniLM: energy-efficient spiking transformer for natural language understanding. Sci. China Inf. Sci. 67(10) (2024) - [j40]Shibo Zhou, Bo Yang, Mengwen Yuan, Runhao Jiang, Rui Yan, Gang Pan, Huajin Tang:
Enhancing SNN-based spatio-temporal learning: A benchmark dataset and Cross-Modality Attention model. Neural Networks 180: 106677 (2024) - [j39]Xiaobo Jin, Ming Zhang, Rui Yan, Gang Pan, De Ma:
R-SNN: Region-Based Spiking Neural Network for Object Detection. IEEE Trans. Cogn. Dev. Syst. 16(3): 810-817 (2024) - [j38]Rong Xiao, Limiao Ning, Yixuan Wang, Huajun Du, Sen Wang, Rui Yan:
Asymmetric Spatiotemporal Online Learning for Deep Spiking Neural Networks. IEEE Trans. Cogn. Dev. Syst. 16(5): 1640-1647 (2024) - [j37]Qingran Miao, Haixia Wang, Yilong Zhang, Rui Yan, Yipeng Liu:
Sweat Gland Enhancement Method for Fingertip OCT Images Based on Generative Adversarial Network. IEEE Trans. Biom. Behav. Identity Sci. 6(4): 550-560 (2024) - [j36]Lang Qin, Ziming Wang, Rui Yan, Huajin Tang:
Attention-Based Deep Spiking Neural Networks for Temporal Credit Assignment Problems. IEEE Trans. Neural Networks Learn. Syst. 35(8): 10301-10311 (2024) - [j35]Jian-Ping Mei, Wenhao Qiu, Defang Chen, Rui Yan, Jing Fan:
Output Regularization With Cluster-Based Soft Targets. IEEE Trans. Neural Networks Learn. Syst. 35(8): 11463-11474 (2024) - [c48]Gehua Ma, He Wang, Jingyuan Zhao, Rui Yan, Huajin Tang:
Successive POI Recommendation via Brain-Inspired Spatiotemporal Aware Representation. AAAI 2024: 574-582 - [c47]Chen Yang, Bin Cao, Chenwei Tao, Rui Yan, Lihui Wu:
JOSC: A Joint Model for Detecting Out-of-distribution Services based on Supervised Contrastive Learning. ICWS 2024: 728-736 - [c46]Limei Liang, Runhao Jiang, Huajin Tang, Rui Yan:
An Event-based Feature Representation Method for Event Stream Classification using Deep Spiking Neural Networks. IJCNN 2024: 1-8 - [c45]Panpan Yang, Ziming Wang, Huajin Tang, Rui Yan:
Multi-scale Harmonic Mean Time Surfaces for Event-based Object Classification. IJCNN 2024: 1-8 - [c44]Chengjun Zhang, Ka-Wa Yip, Bo Yang, Zhiyong Zhang, Mengwen Yuan, Rui Yan, Huajin Tang:
CASRL: Collision Avoidance with Spiking Reinforcement Learning Among Dynamic, Decision-Making Agents. IROS 2024: 8031-8038 - [c43]Lei Wang, Yiming Fei, Huajin Tang, Rui Yan:
CLFR-M: Continual Learning Framework for Robots via Human Feedback and Dynamic Memory. CIS-RAM 2024: 216-221 - [i10]Lang Qin, Ziming Wang, Runhao Jiang, Rui Yan, Huajin Tang:
GRSN: Gated Recurrent Spiking Neurons for POMDPs and MARL. CoRR abs/2404.15597 (2024) - [i9]Shibo Zhou, Bo Yang, Mengwen Yuan, Runhao Jiang, Rui Yan, Gang Pan, Huajin Tang:
Enhancing SNN-based Spatio-Temporal Learning: A Benchmark Dataset and Cross-Modality Attention Model. CoRR abs/2410.15689 (2024) - [i8]Xin Du, Shifan Ye, Qian Zheng, Yangfan Hu, Rui Yan, Shunyu Qi, Shuyang Chen, Huajin Tang, Gang Pan, Shuiguang Deng:
Darkit: A User-Friendly Software Toolkit for Spiking Large Language Model. CoRR abs/2412.15634 (2024) - 2023
- [j34]Jiru Wang, Rui Yan, Huajin Tang:
Grid cell modeling with mapping representation of self-motion for path integration. Neural Comput. Appl. 35(32): 23465-23476 (2023) - [j33]Gehua Ma, Rui Yan, Huajin Tang:
Exploiting noise as a resource for computation and learning in spiking neural networks. Patterns 4(10): 100831 (2023) - [j32]Bin Cao, Kai Wang, Kui Ma, Jing Fan, Rui Yan, Yueshen Xu:
HAIN: Multilabel Classification With Hierarchical Attention-Based Interaction Network for Multiturn Dialogue Texts. IEEE Trans. Cogn. Dev. Syst. 15(3): 1514-1523 (2023) - [j31]Chenxiang Ma, Rui Yan, Zhaofei Yu, Qiang Yu:
Deep Spike Learning With Local Classifiers. IEEE Trans. Cybern. 53(5): 3363-3375 (2023) - [c42]Ziming Wang, Runhao Jiang, Shuang Lian, Rui Yan, Huajin Tang:
Adaptive Smoothing Gradient Learning for Spiking Neural Networks. ICML 2023: 35798-35816 - [c41]Jinze Wang, Jiaqiang Jiang, Shuang Lian, Rui Yan:
Multi-neuron Information Fusion for Direct Training Spiking Neural Networks. ICONIP (7) 2023: 458-469 - [c40]Menghao Su, Panpan Yang, Runhao Jiang, Rui Yan:
Event-Based Object Recognition Using Feature Fusion and Spiking Neural Networks. ICONIP (7) 2023: 470-482 - [c39]Shuang Lian, Jiangrong Shen, Qianhui Liu, Ziming Wang, Rui Yan, Huajin Tang:
Learnable Surrogate Gradient for Direct Training Spiking Neural Networks. IJCAI 2023: 3002-3010 - [c38]Lang Qin, Rui Yan, Huajin Tang:
A Low Latency Adaptive Coding Spike Framework for Deep Reinforcement Learning. IJCAI 2023: 3049-3057 - [c37]Gehua Ma, Runhao Jiang, Rui Yan, Huajin Tang:
Temporal Conditioning Spiking Latent Variable Models of the Neural Response to Natural Visual Scenes. NeurIPS 2023 - [i7]Gehua Ma, Rui Yan, Huajin Tang:
Exploiting Noise as a Resource for Computation and Learning in Spiking Neural Networks. CoRR abs/2305.16044 (2023) - [i6]Gehua Ma, Runhao Jiang, Rui Yan, Huajin Tang:
Temporal Conditioning Spiking Latent Variable Models of the Neural Response to Natural Visual Scenes. CoRR abs/2306.12045 (2023) - [i5]Huajin Tang, Pengjie Gu, Jayawan H. B. Wijekoon, MHD Anas Alsakkal, Ziming Wang, Jiangrong Shen, Rui Yan:
Neuromorphic Auditory Perception by Neural Spiketrum. CoRR abs/2309.05430 (2023) - 2022
- [j30]Shuang Lian, Qianhui Liu, Rui Yan, Gang Pan, Huajin Tang:
Training Deep Convolutional Spiking Neural Networks With Spike Probabilistic Global Pooling. Neural Comput. 34(5): 1170-1188 (2022) - [j29]Junfei Dong, Runhao Jiang, Rong Xiao, Rui Yan, Huajin Tang:
Event stream learning using spatio-temporal event surface. Neural Networks 154: 543-559 (2022) - [j28]Jian-Ping Mei, Yilun Zhen, Qianwei Zhou, Rui Yan:
TaskDrop: A competitive baseline for continual learning of sentiment classification. Neural Networks 155: 551-560 (2022) - [j27]Jiaxin Li, Huajin Tang, Rui Yan:
A Hybrid Loop Closure Detection Method Based on Brain-Inspired Models. IEEE Trans. Cogn. Dev. Syst. 14(4): 1532-1543 (2022) - [c36]Jie Zhang, Runhao Jiang, Rong Xiao, Rui Yan:
Dynamic Resistance Based Spiking Actor Network for Improving Reinforcement Learning. ICCAI 2022: 18-23 - [c35]Chuanmeng Zhu, Jiaqiang Jiang, Runhao Jiang, Rui Yan:
An Adaptive Convolution Auto-encoder Based on Spiking Neurons. ICONIP (2) 2022: 49-61 - [i4]Ziming Wang, Shuang Lian, Yuhao Zhang, Xiaoxin Cui, Rui Yan, Huajin Tang:
Towards Lossless ANN-SNN Conversion under Ultra-Low Latency with Dual-Phase Optimization. CoRR abs/2205.07473 (2022) - [i3]Lang Qin, Rui Yan, Huajin Tang:
A Low Latency Adaptive Coding Spiking Framework for Deep Reinforcement Learning. CoRR abs/2211.11760 (2022) - 2021
- [j26]Runhao Jiang, Jie Zhang, Rui Yan, Huajin Tang:
Few-Shot Learning in Spiking Neural Networks by Multi-Timescale Optimization. Neural Comput. 33(9): 2439-2472 (2021) - [j25]Suogui Dang, Yining Wu, Rui Yan, Huajin Tang:
Why grid cells function as a metric for space. Neural Networks 142: 128-137 (2021) - [j24]Yixuan Wang, Yang Xu, Rui Yan, Huajin Tang:
Deep Spiking Neural Networks With Binary Weights for Object Recognition. IEEE Trans. Cogn. Dev. Syst. 13(3): 514-523 (2021) - [i2]Jianping Mei, Yilun Zheng, Qianwei Zhou, Rui Yan:
TaskDrop: A Competitive Baseline for Continual Learning of Sentiment Classification. CoRR abs/2112.02995 (2021) - 2020
- [j23]Jiru Wang, Rui Yan, Huajin Tang:
Multi-Scale Extension in an Entorhinal-Hippocampal Model for Cognitive Map Building. Frontiers Neurorobotics 14: 592057 (2020) - [j22]Xiping Ju, Biao Fang, Rui Yan, Xiaoliang Xu, Huajin Tang:
An FPGA Implementation of Deep Spiking Neural Networks for Low-Power and Fast Classification. Neural Comput. 32(1): 182-204 (2020) - [j21]Rong Xiao, Huajin Tang, Yuhao Ma, Rui Yan, Garrick Orchard:
An Event-Driven Categorization Model for AER Image Sensors Using Multispike Encoding and Learning. IEEE Trans. Neural Networks Learn. Syst. 31(9): 3649-3657 (2020) - [c34]Junwei Lu, Junfei Dong, Rui Yan, Huajin Tang:
An Event-based Categorization Model Using Spatio-temporal Features in a Spiking Neural Network. ICACI 2020: 385-390 - [c33]Biao Fang, Yuhao Zhang, Rui Yan, Huajin Tang:
Spike Trains Encoding Optimization for Spiking Neural Networks Implementation in FPGA. ICACI 2020: 412-418 - [c32]Jianxin Peng, Suogui Dang, Rui Yan, Huajin Tang:
A Novel Mathematic Entorhinal-Hippocampal System Building Cognitive Map. ICONIP (2) 2020: 3-14 - [c31]Xianglan Wen, Pengjie Gu, Rui Yan, Huajin Tang:
Deep Spiking Neural Network Using Spatio-temporal Backpropagation with Variable Resistance. IJCNN 2020: 1-7 - [c30]Tang Tang, Runhao Jiang, Rui Yan, Huajin Tang:
An Event-Driven Object Recognition Model Using Activated Connected Domain Detection. SSCI 2020: 3049-3056
2010 – 2019
- 2019
- [j20]Suogui Dang, Jiru Wang, Rui Yan, Huajin Tang:
SeqDLF: Deep Local Feature-Based Image Sequence Representation for Visual Loop Closure Detection. Aust. J. Intell. Inf. Process. Syst. 16(2): 9-18 (2019) - [j19]Mengwen Yuan, Xi Wu, Rui Yan, Huajin Tang:
Reinforcement Learning in Spiking Neural Networks with Stochastic and Deterministic Synapses. Neural Comput. 31(12): 2368-2389 (2019) - [j18]Xi Wu, Yixuan Wang, Huajin Tang, Rui Yan:
A structure-time parallel implementation of spike-based deep learning. Neural Networks 113: 72-78 (2019) - [j17]Jiru Wang, Vui Ann Shim, Rui Yan, Huajin Tang, Fuchun Sun:
Automatic Object Searching and Behavior Learning for Mobile Robots in Unstructured Environment by Deep Belief Networks. IEEE Trans. Cogn. Dev. Syst. 11(3): 395-404 (2019) - [c29]Dengju Li, Rui Yan, Xiaoliang Xu, Huajin Tang:
Dance to Music Expressively: A Brain-Inspired System Based on Audio-Semantic Model for Cognitive Development of Robots. ICONIP (4) 2019: 433-440 - [c28]Rong Xiao, Qiang Yu, Rui Yan, Huajin Tang:
Fast and Accurate Classification with a Multi-Spike Learning Algorithm for Spiking Neurons. IJCAI 2019: 1445-1451 - [c27]Yan Dai, Mengwen Yuan, Huajin Tang, Rui Yan:
A temporal encoding method based on expansion representation. IJCNN 2019: 1-8 - [c26]Hanxiao Qian, Pengjie Gu, Rui Yan, Huajin Tang:
Robust Multipitch Estimation of Piano Sounds Using Deep Spiking Neural Networks. SSCI 2019: 2335-2341 - [c25]Ying Nan, Rong Xiao, Shaobing Gao, Rui Yan:
An Event-based Hierarchy Model for Object Recognition. SSCI 2019: 2342-2347 - 2018
- [j16]Xiaoliang Xu, Xin Jin, Rui Yan, Qiming Fang, Wensi Lu:
Visual Pattern Recognition Using Enhanced Visual Features and PSD-Based Learning Rule. IEEE Trans. Cogn. Dev. Syst. 10(2): 205-212 (2018) - [j15]Huajin Tang, Rui Yan, Kay Chen Tan:
Cognitive Navigation by Neuro-Inspired Localization, Mapping, and Episodic Memory. IEEE Trans. Cogn. Dev. Syst. 10(3): 751-761 (2018) - [j14]Huajin Tang, Rui Yan, Kay Chen Tan:
Corrections to "Cognitive Navigation by Neuro-Inspired Localization, Mapping, and Episodic Memory". IEEE Trans. Cogn. Dev. Syst. 10(4): 1165 (2018) - [j13]Yajing Zheng, Shixin Li, Rui Yan, Huajin Tang, Kay Chen Tan:
Sparse Temporal Encoding of Visual Features for Robust Object Recognition by Spiking Neurons. IEEE Trans. Neural Networks Learn. Syst. 29(12): 5823-5833 (2018) - [c24]Dong Niu, Dengju Li, Rui Yan, Huajin Tang:
A Gesture Recognition Method Based on Spiking Neural Networks for Cognition Development. ICONIP (1) 2018: 582-593 - 2017
- [j12]Sun-Chun Zhou, Rui Yan, Jia-Xin Li, Ying-Ke Chen, Huajin Tang:
A brain-inspired SLAM system based on ORB features. Int. J. Autom. Comput. 14(5): 564-575 (2017) - [j11]Huajin Tang, Weiwei Huang, Aditya Narayanamoorthy, Rui Yan:
Cognitive memory and mapping in a brain-like system for robotic navigation. Neural Networks 87: 27-37 (2017) - [j10]Xi Peng, Jiwen Lu, Zhang Yi, Rui Yan:
Automatic Subspace Learning via Principal Coefficients Embedding. IEEE Trans. Cybern. 47(11): 3583-3596 (2017) - [j9]Xi Peng, Bo Zhao, Rui Yan, Huajin Tang, Zhang Yi:
Bag of Events: An Efficient Probability-Based Feature Extraction Method for AER Image Sensors. IEEE Trans. Neural Networks Learn. Syst. 28(4): 791-803 (2017) - 2016
- [j8]Qiang Yu, Rui Yan, Huajin Tang, Kay Chen Tan, Haizhou Li:
A Spiking Neural Network System for Robust Sequence Recognition. IEEE Trans. Neural Networks Learn. Syst. 27(3): 621-635 (2016) - [j7]Yanan Li, Keng Peng Tee, Rui Yan, Wei Liang Chan, Yan Wu:
A Framework of Human-Robot Coordination Based on Game Theory and Policy Iteration. IEEE Trans. Robotics 32(6): 1408-1418 (2016) - [c23]Huajin Tang, Boon Hwa Tan, Rui Yan:
Robot-to-human handover with obstacle avoidance via continuous time Recurrent Neural Network. CEC 2016: 1204-1211 - [c22]Rong Xiao, Rui Yan, Huajin Tang, Kay Chen Tan:
A Spiking Neural Network Model for Sound Recognition. ICCSIP 2016: 584-594 - [c21]Xiaoliang Xu, Xin Jin, Rui Yan, Xun Cao:
A hierarchical visual recognition model with precise-spike-driven synaptic plasticity. SSCI 2016: 1-7 - 2015
- [j6]Xi Peng, Rui Yan, Bo Zhao, Huajin Tang, Zhang Yi:
Fast low rank representation based spatial pyramid matching for image classification. Knowl. Based Syst. 90: 14-22 (2015) - [j5]Yanan Li, Keng Peng Tee, Wei Liang Chan, Rui Yan, Yuanwei Chua, Dilip Kumar Limbu:
Continuous Role Adaptation for Human-Robot Shared Control. IEEE Trans. Robotics 31(3): 672-681 (2015) - [c20]Yanan Li, Keng Peng Tee, Rui Yan, Dilip Kumar Limbu, Shuzhi Sam Ge:
Shared control of human and robot by approximate dynamic programming. ACC 2015: 1167-1172 - [c19]Yanan Li, Keng Peng Tee, Wei Liang Chan, Rui Yan, Yuanwei Chua, Dilip Kumar Limbu:
Role adaptation of human and robot in collaborative tasks. ICRA 2015: 5602-5607 - [c18]Yanan Li, Keng Peng Tee, Rui Yan, Wei Liang Chan, Yan Wu, Dilip Kumar Limbu:
Adaptive optimal control for coordination in physical human-robot interaction. IROS 2015: 20-25 - [c17]Yan Wu, Wei Liang Chan, Yanan Li, Keng Peng Tee, Rui Yan, Dilip Kumar Limbu:
Improving human-robot interactivity for tele-operated industrial and service robot applications. RAM/CIS 2015: CIS:153-158 - 2014
- [c16]Boon Hwa Tan, Huajin Tang, Rui Yan, Jun Tani:
Flexible and robust robotic arm design and skill learning by using recurrent neural networks. IROS 2014: 522-529 - [c15]Keng Peng Tee, Rui Yan, Yuanwei Chua, Zhiyong Huang, Somchaya Liemhetcharat:
Gesture-based attention direction for a telepresence robot: Design and experimental study. IROS 2014: 4090-4095 - [i1]Xi Peng, Rui Yan, Bo Zhao, Huajin Tang, Zhang Yi:
Fast Low-rank Representation based Spatial Pyramid Matching for Image Classification. CoRR abs/1409.5786 (2014) - 2013
- [c14]Rui Yan, Keng Peng Tee, Yuanwei Chua, Zhiyong Huang:
A User Study for an Attention-Directed Robot for Telepresence. ICOST 2013: 110-117 - [c13]Yuanwei Chua, Keng Peng Tee, Rui Yan:
Robust Optimal Inverse Kinematics with Self-Collision Avoidance for a Humanoid Robot. RO-MAN 2013: 496-502 - 2012
- [j4]Rui Yan, Keng Peng Tee, Yuanwei Chua, Haizhou Li, Huajin Tang:
Gesture Recognition Based on Localist Attractor Networks with Application to Robot Control [Application Notes]. IEEE Comput. Intell. Mag. 7(1): 64-74 (2012) - [j3]Keng Peng Tee, Rui Yan, Yuanwei Chua, Zhiyong Huang, Haizhou Li:
Modular IK: a Robust Inverse Kinematic Algorithm for Gesture Imitation in an Upper-Body Humanoid Robot. Int. J. Humanoid Robotics 9(2) (2012) - [c12]Keng Peng Tee, Shuzhi Sam Ge, Rui Yan, Haizhou Li:
Adaptive control for robot manipulators under ellipsoidal task space constraints. IROS 2012: 1167-1172 - [c11]Yuanwei Chua, Keng Peng Tee, Rui Yan:
Singularity robust inverse kinematics for a humanoid robot with minimum energy configuration and self-collision avoidance. WASA 2012: 113-118 - [c10]Yuanwei Chua, Keng Peng Tee, Rui Yan, Liyuan Li, Zhiyong Huang:
Towards more engaging telepresence by face tracking. WASA 2012: 137-141 - 2010
- [j2]Rui Yan, Zhao Yang Dong, Tapan Kumar Saha, Rajat Majumder:
A power system nonlinear adaptive decentralized controller design. Autom. 46(2): 330-336 (2010) - [j1]Huajin Tang, Haizhou Li, Rui Yan:
Memory Dynamics in Attractor Networks with Saliency Weights. Neural Comput. 22(7): 1899-1926 (2010) - [c9]Keng Peng Tee, Rui Yan, Haizhou Li:
Adaptive admittance control of a robot manipulator under task space constraint. ICRA 2010: 5181-5186 - [c8]Yuanwei Chua, Keng Peng Tee, Rui Yan:
Human-robot motion synchronization using reactive and predictive controllers. ROBIO 2010: 223-228 - [c7]Keng Peng Tee, Rui Yan, Yuanwei Chua, Zhiyong Huang:
Singularity-robust modular inverse kinematics for robotic gesture imitation. ROBIO 2010: 920-925 - [c6]Rui Yan, Keng Peng Tee, Yuanwei Chua, Huajin Tang:
A gesture recognition system using Localist Attractor Networks for human-robot interaction. ROBIO 2010: 1217-1222 - [c5]Rui Yan, Keng Peng Tee, Haizhou Li:
Nonlinear Control of a Robot Manipulator with Time-Varying Uncertainties. ICSR 2010: 202-211
2000 – 2009
- 2009
- [c4]Rui Yan, Haizhou Li, Zhao Yang Dong, Huajin Tang:
Nonlinear control approaches for SI engine model with uncertainties. CDC 2009: 5440-5445 - 2006
- [c3]Rui Yan, Meng Joo Er, Ya-Jun Pan:
Multi-period repetitive learning control for a class of unmatched systems with unknown control direction. ACC 2006 - [c2]Rui Yan, Meng Joo Er:
Synchronization of Time-delayed Systems Via Learning Control. ICARCV 2006: 1-5 - [c1]Rui Yan, Meng Joo Er, Huajin Tang:
An Improvement on Competitive Neural Networks Applied to Image Segmentation. ISNN (2) 2006: 498-503
Coauthor Index
[j45] [j42] [c53] [c52] [c51] [c50] [i12] [j41] [j40] [j36] [c48] [c46] [c45] [c44] [c43] [i10] [i9] [i8] [j34] [j33] [c42] [c39] [c38] [c37] [i7] [i6] [i5] [j30] [j29] [j27] [i4] [i3] [j26] [j25] [j24] [j23] [j22] [j21] [c34] [c33] [c32] [c31] [c30] [j20] [j19] [j18] [j17] [c29] [c28] [c27] [c26] [j15] [j14] [j13] [c24] [j12] [j11] [j9] [j8] [c23] [c22] [j6] [c16] [i1] [j4] [j1] [c6] [c4] [c1]
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