Rui Yan - RankMe

118 papers A* 13A 6B 9C 4Misc 2Journal 60Unranked 24

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A continual learning framework with long-term and multiple short-term memory networks. Neural Networks Shangge Liu, Lei Wang, Rui Yan, Jing Huo, Wenbin Li, Yang Gao
2026	A*	`conf`	DS-ATGO: Dual-Stage Synergistic Learning via Forward Adaptive Threshold and Backward Gradient Optimization for Spiking Neural Networks. AAAI Jiaqiang Jiang, Wenfeng Xu, Jing Fan, Rui Yan
2026	A*	`conf`	MPD-SGR: Robust Spiking Neural Networks with Membrane Potential Distribution-Driven Surrogate Gradient Regularization. AAAI Runhao Jiang, Chengzhi Jiang, Rui Yan, Huajin Tang
2025	J	`jnl`	ASRC-SNN: Adaptive Skip Recurrent Connection Spiking Neural Network. CoRR Shang Xu, Jiayu Zhang, Ziming Wang, Runhao Jiang, Rui Yan, Huajin Tang
2025	A*	`conf`	Adaptive Gradient Learning for Spiking Neural Networks by Exploiting Membrane Potential Dynamics. IJCAI Jiaqiang Jiang, Lei Wang, Runhao Jiang, Jing Fan, Rui Yan
2025	J	`jnl`	Adaptive Gradient Learning for Spiking Neural Networks by Exploiting Membrane Potential Dynamics. CoRR Jiaqiang Jiang, Lei Wang, Runhao Jiang, Jing Fan, Rui Yan
2025	Misc	`conf`	Adaptive Gradient-Based Timesurface for Event-based Detection. ICASSP Ziling Wang, Ziming Wang, Shuang Lian, Rui Yan, Huajin Tang
2025	J	`jnl`	DS-ATGO: Dual-Stage Synergistic Learning via Forward Adaptive Threshold and Backward Gradient Optimization for Spiking Neural Networks. CoRR Jiaqiang Jiang, Wenfeng Xu, Jing Fan, Rui Yan
2025	B	`conf`	Deep Spiking Neural Network with Adaptive Temporal Feature Fusion for Energy-efficient Event-based Person Re-Identification. IJCNN Qingfeng Shi, Jiaqiang Jiang, Huajin Tang, Rui Yan
2025	J	`jnl`	Deep Spiking Neural Networks Driven by Adaptive Interval Membrane Potential for Temporal Credit Assignment Problem. IEEE Trans. Emerg. Top. Comput. Intell. Jiaqiang Jiang, Haohui Ding, Haixia Wang, Rui Yan
2025	A*	`conf`	GRSN: Gated Recurrent Spiking Neurons for POMDPs and MARL. AAAI Lang Qin, Ziming Wang, Runhao Jiang, Rui Yan, Huajin Tang
2025	A*	`conf`	HSRL: A Hierarchical Control System Based on Spiking Deep Reinforcement Learning for Robot Navigation. ICRA Bo Yang, Shibo Zhou, Chaohui Lin, Qingao Chai, Rui Yan, De Ma, Gang Pan, Huajin Tang
2025	J	`jnl`	Neuromorphic Auditory Perception by Neural Spiketrum. IEEE Trans. Emerg. Top. Comput. Intell. Huajin Tang, Pengjie Gu, Jayawan H. B. Wijekoon, MHD Anas Alsakkal, Ziming Wang, Jiangrong Shen, Rui Yan, Gang Pan
2025	J	`jnl`	OCT Fingerprint Presentation Attack Detection Based on Dual-Branch Reconstruction Differences. IEEE Trans. Instrum. Meas. Haixia Wang, Kun Xiao, Chengfang Zhu, Ronghua Liang, Yilong Zhang, Peng Chen, Yipeng Liu, Rui Yan
2025	J	`jnl`	Soft-label generator based on classifier weights. Neurocomputing Xinkai Chu, Jian-Ping Mei, Hang Zhou, Jie Chen, Rui Yan, Jing Fan
2025	—	`conf`	Spike LPR: A Spiking Neural Network for Energy-Efficient LiDAR-Based Place Recognition via Spatiotemporal Sequential Fusion. ICIC (11) Ziqiang Li, Jiaqiang Jiang, Jing Fan, Rui Yan
2025	J	`jnl`	Toward High-Accuracy and Low-Latency Spiking Neural Networks With Two-Stage Optimization. IEEE Trans. Neural Networks Learn. Syst. Ziming Wang, Yuhao Zhang, Shuang Lian, Xiaoxin Cui, Rui Yan, Huajin Tang
2025	Misc	`conf`	Two-Stream Spiking Neural Network for Event-based Action Recognition. ICASSP Shuang Lian, Qianhui Liu, Ziling Wang, Jia Su, Zhibin Zuo, Yi Zhang, Rui Yan, Huajin Tang
2024	B	`conf`	A Time-Surface Enhancement Model for Event-based Spatiotemporal Feature Extraction. IJCNN Haohui Ding, Jiaqiang Jiang, Rui Yan
2024	B	`conf`	An Event-based Feature Representation Method for Event Stream Classification using Deep Spiking Neural Networks. IJCNN Limei Liang, Runhao Jiang, Huajin Tang, Rui Yan
2024	J	`jnl`	Asymmetric Spatiotemporal Online Learning for Deep Spiking Neural Networks. IEEE Trans. Cogn. Dev. Syst. Rong Xiao, Limiao Ning, Yixuan Wang, Huajun Du, Sen Wang, Rui Yan
2024	J	`jnl`	Attention-Based Deep Spiking Neural Networks for Temporal Credit Assignment Problems. IEEE Trans. Neural Networks Learn. Syst. Lang Qin, Ziming Wang, Rui Yan, Huajin Tang
2024	A	`conf`	CASRL: Collision Avoidance with Spiking Reinforcement Learning Among Dynamic, Decision-Making Agents. IROS Chengjun Zhang, Ka-Wa Yip, Bo Yang, Zhiyong Zhang, Mengwen Yuan, Rui Yan, Huajin Tang
2024	—	`conf`	CLFR-M: Continual Learning Framework for Robots via Human Feedback and Dynamic Memory. CIS-RAM Lei Wang, Yiming Fei, Huajin Tang, Rui Yan
2024	J	`jnl`	Darkit: A User-Friendly Software Toolkit for Spiking Large Language Model. CoRR Xin Du, Shifan Ye, Qian Zheng, Yangfan Hu, Rui Yan, Shunyu Qi, Shuyang Chen, Huajin Tang, Gang Pan, Shuiguang Deng
2024	J	`jnl`	Enhancing SNN-based Spatio-Temporal Learning: A Benchmark Dataset and Cross-Modality Attention Model. CoRR Shibo Zhou, Bo Yang, Mengwen Yuan, Runhao Jiang, Rui Yan, Gang Pan, Huajin Tang
2024	J	`jnl`	Enhancing SNN-based spatio-temporal learning: A benchmark dataset and Cross-Modality Attention model. Neural Networks Shibo Zhou, Bo Yang, Mengwen Yuan, Runhao Jiang, Rui Yan, Gang Pan, Huajin Tang
2024	J	`jnl`	GRSN: Gated Recurrent Spiking Neurons for POMDPs and MARL. CoRR Lang Qin, Ziming Wang, Runhao Jiang, Rui Yan, Huajin Tang
2024	A	`conf`	JOSC: A Joint Model for Detecting Out-of-distribution Services based on Supervised Contrastive Learning. ICWS Chen Yang, Bin Cao, Chenwei Tao, Rui Yan, Lihui Wu
2024	B	`conf`	Multi-scale Harmonic Mean Time Surfaces for Event-based Object Classification. IJCNN Panpan Yang, Ziming Wang, Huajin Tang, Rui Yan
2024	J	`jnl`	Output Regularization With Cluster-Based Soft Targets. IEEE Trans. Neural Networks Learn. Syst. Jian-Ping Mei, Wenhao Qiu, Defang Chen, Rui Yan, Jing Fan
2024	J	`jnl`	R-SNN: Region-Based Spiking Neural Network for Object Detection. IEEE Trans. Cogn. Dev. Syst. Xiaobo Jin, Ming Zhang, Rui Yan, Gang Pan, De Ma
2024	J	`jnl`	SpikingMiniLM: energy-efficient spiking transformer for natural language understanding. Sci. China Inf. Sci. Jiayu Zhang, Jiangrong Shen, Zeke Wang, Qinghai Guo, Rui Yan, Gang Pan, Huajin Tang
2024	A*	`conf`	Successive POI Recommendation via Brain-Inspired Spatiotemporal Aware Representation. AAAI Gehua Ma, He Wang, Jingyuan Zhao, Rui Yan, Huajin Tang
2024	J	`jnl`	Sweat Gland Enhancement Method for Fingertip OCT Images Based on Generative Adversarial Network. IEEE Trans. Biom. Behav. Identity Sci. Qingran Miao, Haixia Wang, Yilong Zhang, Rui Yan, Yipeng Liu
2023	A*	`conf`	A Low Latency Adaptive Coding Spike Framework for Deep Reinforcement Learning. IJCAI Lang Qin, Rui Yan, Huajin Tang
2023	A*	`conf`	Adaptive Smoothing Gradient Learning for Spiking Neural Networks. ICML Ziming Wang, Runhao Jiang, Shuang Lian, Rui Yan, Huajin Tang
2023	J	`jnl`	Deep Spike Learning With Local Classifiers. IEEE Trans. Cybern. Chenxiang Ma, Rui Yan, Zhaofei Yu, Qiang Yu
2023	—	`conf`	Event-Based Object Recognition Using Feature Fusion and Spiking Neural Networks. ICONIP (7) Menghao Su, Panpan Yang, Runhao Jiang, Rui Yan
2023	J	`jnl`	Exploiting Noise as a Resource for Computation and Learning in Spiking Neural Networks. CoRR Gehua Ma, Rui Yan, Huajin Tang
2023	J	`jnl`	Exploiting noise as a resource for computation and learning in spiking neural networks. Patterns Gehua Ma, Rui Yan, Huajin Tang
2023	J	`jnl`	Grid cell modeling with mapping representation of self-motion for path integration. Neural Comput. Appl. Jiru Wang, Rui Yan, Huajin Tang
2023	J	`jnl`	HAIN: Multilabel Classification With Hierarchical Attention-Based Interaction Network for Multiturn Dialogue Texts. IEEE Trans. Cogn. Dev. Syst. Bin Cao, Kai Wang, Kui Ma, Jing Fan, Rui Yan, Yueshen Xu
2023	A*	`conf`	Learnable Surrogate Gradient for Direct Training Spiking Neural Networks. IJCAI Shuang Lian, Jiangrong Shen, Qianhui Liu, Ziming Wang, Rui Yan, Huajin Tang
2023	—	`conf`	Multi-neuron Information Fusion for Direct Training Spiking Neural Networks. ICONIP (7) Jinze Wang, Jiaqiang Jiang, Shuang Lian, Rui Yan
2023	J	`jnl`	Neuromorphic Auditory Perception by Neural Spiketrum. CoRR Huajin Tang, Pengjie Gu, Jayawan H. B. Wijekoon, MHD Anas Alsakkal, Ziming Wang, Jiangrong Shen, Rui Yan
2023	A*	`conf`	Temporal Conditioning Spiking Latent Variable Models of the Neural Response to Natural Visual Scenes. NeurIPS Gehua Ma, Runhao Jiang, Rui Yan, Huajin Tang
2023	J	`jnl`	Temporal Conditioning Spiking Latent Variable Models of the Neural Response to Natural Visual Scenes. CoRR Gehua Ma, Runhao Jiang, Rui Yan, Huajin Tang
2022	J	`jnl`	A Hybrid Loop Closure Detection Method Based on Brain-Inspired Models. IEEE Trans. Cogn. Dev. Syst. Jiaxin Li, Huajin Tang, Rui Yan
2022	J	`jnl`	A Low Latency Adaptive Coding Spiking Framework for Deep Reinforcement Learning. CoRR Lang Qin, Rui Yan, Huajin Tang
2022	—	`conf`	An Adaptive Convolution Auto-encoder Based on Spiking Neurons. ICONIP (2) Chuanmeng Zhu, Jiaqiang Jiang, Runhao Jiang, Rui Yan
2022	—	`conf`	Dynamic Resistance Based Spiking Actor Network for Improving Reinforcement Learning. ICCAI Jie Zhang, Runhao Jiang, Rong Xiao, Rui Yan
2022	J	`jnl`	Event stream learning using spatio-temporal event surface. Neural Networks Junfei Dong, Runhao Jiang, Rong Xiao, Rui Yan, Huajin Tang
2022	J	`jnl`	TaskDrop: A competitive baseline for continual learning of sentiment classification. Neural Networks Jian-Ping Mei, Yilun Zhen, Qianwei Zhou, Rui Yan
2022	J	`jnl`	Towards Lossless ANN-SNN Conversion under Ultra-Low Latency with Dual-Phase Optimization. CoRR Ziming Wang, Shuang Lian, Yuhao Zhang, Xiaoxin Cui, Rui Yan, Huajin Tang
2022	J	`jnl`	Training Deep Convolutional Spiking Neural Networks With Spike Probabilistic Global Pooling. Neural Comput. Shuang Lian, Qianhui Liu, Rui Yan, Gang Pan, Huajin Tang
2021	J	`jnl`	Deep Spiking Neural Networks With Binary Weights for Object Recognition. IEEE Trans. Cogn. Dev. Syst. Yixuan Wang, Yang Xu, Rui Yan, Huajin Tang
2021	J	`jnl`	Few-Shot Learning in Spiking Neural Networks by Multi-Timescale Optimization. Neural Comput. Runhao Jiang, Jie Zhang, Rui Yan, Huajin Tang
2021	J	`jnl`	TaskDrop: A Competitive Baseline for Continual Learning of Sentiment Classification. CoRR Jianping Mei, Yilun Zheng, Qianwei Zhou, Rui Yan
2021	J	`jnl`	Why grid cells function as a metric for space. Neural Networks Suogui Dang, Yining Wu, Rui Yan, Huajin Tang
2020	—	`conf`	A Novel Mathematic Entorhinal-Hippocampal System Building Cognitive Map. ICONIP (2) Jianxin Peng, Suogui Dang, Rui Yan, Huajin Tang
2020	J	`jnl`	An Event-Driven Categorization Model for AER Image Sensors Using Multispike Encoding and Learning. IEEE Trans. Neural Networks Learn. Syst. Rong Xiao, Huajin Tang, Yuhao Ma, Rui Yan, Garrick Orchard
2020	—	`conf`	An Event-Driven Object Recognition Model Using Activated Connected Domain Detection. SSCI Tang Tang, Runhao Jiang, Rui Yan, Huajin Tang
2020	—	`conf`	An Event-based Categorization Model Using Spatio-temporal Features in a Spiking Neural Network. ICACI Junwei Lu, Junfei Dong, Rui Yan, Huajin Tang
2020	J	`jnl`	An FPGA Implementation of Deep Spiking Neural Networks for Low-Power and Fast Classification. Neural Comput. Xiping Ju, Biao Fang, Rui Yan, Xiaoliang Xu, Huajin Tang
2020	B	`conf`	Deep Spiking Neural Network Using Spatio-temporal Backpropagation with Variable Resistance. IJCNN Xianglan Wen, Pengjie Gu, Rui Yan, Huajin Tang
2020	J	`jnl`	Multi-Scale Extension in an Entorhinal-Hippocampal Model for Cognitive Map Building. Frontiers Neurorobotics Jiru Wang, Rui Yan, Huajin Tang
2020	—	`conf`	Spike Trains Encoding Optimization for Spiking Neural Networks Implementation in FPGA. ICACI Biao Fang, Yuhao Zhang, Rui Yan, Huajin Tang
2019	J	`jnl`	A structure-time parallel implementation of spike-based deep learning. Neural Networks Xi Wu, Yixuan Wang, Huajin Tang, Rui Yan
2019	B	`conf`	A temporal encoding method based on expansion representation. IJCNN Yan Dai, Mengwen Yuan, Huajin Tang, Rui Yan
2019	—	`conf`	An Event-based Hierarchy Model for Object Recognition. SSCI Ying Nan, Rong Xiao, Shaobing Gao, Rui Yan
2019	J	`jnl`	Automatic Object Searching and Behavior Learning for Mobile Robots in Unstructured Environment by Deep Belief Networks. IEEE Trans. Cogn. Dev. Syst. Jiru Wang, Vui Ann Shim, Rui Yan, Huajin Tang, Fuchun Sun
2019	—	`conf`	Dance to Music Expressively: A Brain-Inspired System Based on Audio-Semantic Model for Cognitive Development of Robots. ICONIP (4) Dengju Li, Rui Yan, Xiaoliang Xu, Huajin Tang
2019	A*	`conf`	Fast and Accurate Classification with a Multi-Spike Learning Algorithm for Spiking Neurons. IJCAI Rong Xiao, Qiang Yu, Rui Yan, Huajin Tang
2019	J	`jnl`	Reinforcement Learning in Spiking Neural Networks with Stochastic and Deterministic Synapses. Neural Comput. Mengwen Yuan, Xi Wu, Rui Yan, Huajin Tang
2019	—	`conf`	Robust Multipitch Estimation of Piano Sounds Using Deep Spiking Neural Networks. SSCI Hanxiao Qian, Pengjie Gu, Rui Yan, Huajin Tang
2019	J	`jnl`	SeqDLF: Deep Local Feature-Based Image Sequence Representation for Visual Loop Closure Detection. Aust. J. Intell. Inf. Process. Syst. Suogui Dang, Jiru Wang, Rui Yan, Huajin Tang
2018	—	`conf`	A Gesture Recognition Method Based on Spiking Neural Networks for Cognition Development. ICONIP (1) Dong Niu, Dengju Li, Rui Yan, Huajin Tang
2018	J	`jnl`	Cognitive Navigation by Neuro-Inspired Localization, Mapping, and Episodic Memory. IEEE Trans. Cogn. Dev. Syst. Huajin Tang, Rui Yan, Kay Chen Tan
2018	J	`jnl`	Corrections to "Cognitive Navigation by Neuro-Inspired Localization, Mapping, and Episodic Memory". IEEE Trans. Cogn. Dev. Syst. Huajin Tang, Rui Yan, Kay Chen Tan
2018	J	`jnl`	Sparse Temporal Encoding of Visual Features for Robust Object Recognition by Spiking Neurons. IEEE Trans. Neural Networks Learn. Syst. Yajing Zheng, Shixin Li, Rui Yan, Huajin Tang, Kay Chen Tan
2018	J	`jnl`	Visual Pattern Recognition Using Enhanced Visual Features and PSD-Based Learning Rule. IEEE Trans. Cogn. Dev. Syst. Xiaoliang Xu, Xin Jin, Rui Yan, Qiming Fang, Wensi Lu
2017	J	`jnl`	A brain-inspired SLAM system based on ORB features. Int. J. Autom. Comput. Sun-Chun Zhou, Rui Yan, Jia-Xin Li, Ying-Ke Chen, Huajin Tang
2017	J	`jnl`	Automatic Subspace Learning via Principal Coefficients Embedding. IEEE Trans. Cybern. Xi Peng, Jiwen Lu, Zhang Yi, Rui Yan
2017	J	`jnl`	Bag of Events: An Efficient Probability-Based Feature Extraction Method for AER Image Sensors. IEEE Trans. Neural Networks Learn. Syst. Xi Peng, Bo Zhao, Rui Yan, Huajin Tang, Zhang Yi
2017	J	`jnl`	Cognitive memory and mapping in a brain-like system for robotic navigation. Neural Networks Huajin Tang, Weiwei Huang, Aditya Narayanamoorthy, Rui Yan
2016	J	`jnl`	A Framework of Human-Robot Coordination Based on Game Theory and Policy Iteration. IEEE Trans. Robotics Yanan Li, Keng Peng Tee, Rui Yan, Wei Liang Chan, Yan Wu
2016	—	`conf`	A Spiking Neural Network Model for Sound Recognition. ICCSIP Rong Xiao, Rui Yan, Huajin Tang, Kay Chen Tan
2016	J	`jnl`	A Spiking Neural Network System for Robust Sequence Recognition. IEEE Trans. Neural Networks Learn. Syst. Qiang Yu, Rui Yan, Huajin Tang, Kay Chen Tan, Haizhou Li
2016	—	`conf`	A hierarchical visual recognition model with precise-spike-driven synaptic plasticity. SSCI Xiaoliang Xu, Xin Jin, Rui Yan, Xun Cao
2016	B	`conf`	Robot-to-human handover with obstacle avoidance via continuous time Recurrent Neural Network. CEC Huajin Tang, Boon Hwa Tan, Rui Yan
2015	A	`conf`	Adaptive optimal control for coordination in physical human-robot interaction. IROS Yanan Li, Keng Peng Tee, Rui Yan, Wei Liang Chan, Yan Wu, Dilip Kumar Limbu
2015	J	`jnl`	Continuous Role Adaptation for Human-Robot Shared Control. IEEE Trans. Robotics Yanan Li, Keng Peng Tee, Wei Liang Chan, Rui Yan, Yuanwei Chua, Dilip Kumar Limbu
2015	J	`jnl`	Fast low rank representation based spatial pyramid matching for image classification. Knowl. Based Syst. Xi Peng, Rui Yan, Bo Zhao, Huajin Tang, Zhang Yi
2015	—	`conf`	Improving human-robot interactivity for tele-operated industrial and service robot applications. RAM/CIS Yan Wu, Wei Liang Chan, Yanan Li, Keng Peng Tee, Rui Yan, Dilip Kumar Limbu
2015	A*	`conf`	Role adaptation of human and robot in collaborative tasks. ICRA Yanan Li, Keng Peng Tee, Wei Liang Chan, Rui Yan, Yuanwei Chua, Dilip Kumar Limbu
2015	C	`conf`	Shared control of human and robot by approximate dynamic programming. ACC Yanan Li, Keng Peng Tee, Rui Yan, Dilip Kumar Limbu, Shuzhi Sam Ge
2014	J	`jnl`	Fast Low-rank Representation based Spatial Pyramid Matching for Image Classification. CoRR Xi Peng, Rui Yan, Bo Zhao, Huajin Tang, Zhang Yi
2014	A	`conf`	Flexible and robust robotic arm design and skill learning by using recurrent neural networks. IROS Boon Hwa Tan, Huajin Tang, Rui Yan, Jun Tani
2014	A	`conf`	Gesture-based attention direction for a telepresence robot: Design and experimental study. IROS Keng Peng Tee, Rui Yan, Yuanwei Chua, Zhiyong Huang, Somchaya Liemhetcharat
2013	C	`conf`	A User Study for an Attention-Directed Robot for Telepresence. ICOST Rui Yan, Keng Peng Tee, Yuanwei Chua, Zhiyong Huang
2013	B	`conf`	Robust Optimal Inverse Kinematics with Self-Collision Avoidance for a Humanoid Robot. RO-MAN Yuanwei Chua, Keng Peng Tee, Rui Yan
2012	A	`conf`	Adaptive control for robot manipulators under ellipsoidal task space constraints. IROS Keng Peng Tee, Shuzhi Sam Ge, Rui Yan, Haizhou Li
2012	J	`jnl`	Gesture Recognition Based on Localist Attractor Networks with Application to Robot Control [Application Notes]. IEEE Comput. Intell. Mag. Rui Yan, Keng Peng Tee, Yuanwei Chua, Haizhou Li, Huajin Tang
2012	J	`jnl`	Modular IK: a Robust Inverse Kinematic Algorithm for Gesture Imitation in an Upper-Body Humanoid Robot. Int. J. Humanoid Robotics Keng Peng Tee, Rui Yan, Yuanwei Chua, Zhiyong Huang, Haizhou Li
2012	—	`conf`	Singularity robust inverse kinematics for a humanoid robot with minimum energy configuration and self-collision avoidance. WASA Yuanwei Chua, Keng Peng Tee, Rui Yan
2012	—	`conf`	Towards more engaging telepresence by face tracking. WASA Yuanwei Chua, Keng Peng Tee, Rui Yan, Liyuan Li, Zhiyong Huang
2010	—	`conf`	A gesture recognition system using Localist Attractor Networks for human-robot interaction. ROBIO Rui Yan, Keng Peng Tee, Yuanwei Chua, Huajin Tang
2010	J	`jnl`	A power system nonlinear adaptive decentralized controller design. Autom. Rui Yan, Zhao Yang Dong, Tapan Kumar Saha, Rajat Majumder
2010	A*	`conf`	Adaptive admittance control of a robot manipulator under task space constraint. ICRA Keng Peng Tee, Rui Yan, Haizhou Li
2010	—	`conf`	Human-robot motion synchronization using reactive and predictive controllers. ROBIO Yuanwei Chua, Keng Peng Tee, Rui Yan
2010	J	`jnl`	Memory Dynamics in Attractor Networks with Saliency Weights. Neural Comput. Huajin Tang, Haizhou Li, Rui Yan
2010	B	`conf`	Nonlinear Control of a Robot Manipulator with Time-Varying Uncertainties. ICSR Rui Yan, Keng Peng Tee, Haizhou Li
2010	—	`conf`	Singularity-robust modular inverse kinematics for robotic gesture imitation. ROBIO Keng Peng Tee, Rui Yan, Yuanwei Chua, Zhiyong Huang
2009	—	`conf`	Nonlinear control approaches for SI engine model with uncertainties. CDC Rui Yan, Haizhou Li, Zhao Yang Dong, Huajin Tang
2006	—	`conf`	An Improvement on Competitive Neural Networks Applied to Image Segmentation. ISNN (2) Rui Yan, Meng Joo Er, Huajin Tang
2006	C	`conf`	Multi-period repetitive learning control for a class of unmatched systems with unknown control direction. ACC Rui Yan, Meng Joo Er, Ya-Jun Pan
2006	C	`conf`	Synchronization of Time-delayed Systems Via Learning Control. ICARCV Rui Yan, Meng Joo Er