Multi-period repetitive learning control for a class of unmatched systems with unknown control direction. - Rui Yan 005; Meng Joo Er; Ya-Jun Pan 001 (ACC, 2006)

Synchronization of Time-delayed Systems Via Learning Control. - Rui Yan 005; Meng Joo Er (ICARCV, 2006)

An Improvement on Competitive Neural Networks Applied to Image Segmentation. - Rui Yan 005; Meng Joo Er; Huajin Tang (ISNN (2), 2006)

Nonlinear control approaches for SI engine model with uncertainties. - Rui Yan 005; Haizhou Li 001; Zhao Yang Dong; Huajin Tang (CDC, 2009)

Adaptive admittance control of a robot manipulator under task space constraint. - Keng Peng Tee; Rui Yan 005; Haizhou Li 001 (ICRA, 2010)

Human-robot motion synchronization using reactive and predictive controllers. - Yuanwei Chua; Keng Peng Tee; Rui Yan 005 (ROBIO, 2010)

Singularity-robust modular inverse kinematics for robotic gesture imitation. - Keng Peng Tee; Rui Yan 005; Yuanwei Chua; Zhiyong Huang 001 (ROBIO, 2010)

A gesture recognition system using Localist Attractor Networks for human-robot interaction. - Rui Yan 005; Keng Peng Tee; Yuanwei Chua; Huajin Tang (ROBIO, 2010)

Nonlinear Control of a Robot Manipulator with Time-Varying Uncertainties. - Rui Yan 005; Keng Peng Tee; Haizhou Li 001 (ICSR, 2010)

A power system nonlinear adaptive decentralized controller design. - Rui Yan 005; Zhao Yang Dong; Tapan Kumar Saha; Rajat Majumder (Autom., 2010)

Memory Dynamics in Attractor Networks with Saliency Weights. - Huajin Tang; Haizhou Li 001; Rui Yan 005 (Neural Comput., 2010)

Adaptive control for robot manipulators under ellipsoidal task space constraints. - Keng Peng Tee; Shuzhi Sam Ge; Rui Yan 005; Haizhou Li 001 (IROS, 2012)

Singularity robust inverse kinematics for a humanoid robot with minimum energy configuration and self-collision avoidance. - Yuanwei Chua; Keng Peng Tee; Rui Yan 005 (WASA, 2012)

Towards more engaging telepresence by face tracking. - Yuanwei Chua; Keng Peng Tee; Rui Yan 005; Liyuan Li; Zhiyong Huang 001 (WASA, 2012)

Gesture Recognition Based on Localist Attractor Networks with Application to Robot Control [Application Notes]. - Rui Yan 005; Keng Peng Tee; Yuanwei Chua; Haizhou Li 001; Huajin Tang (IEEE Comput. Intell. Mag., 2012)

Modular IK: a Robust Inverse Kinematic Algorithm for Gesture Imitation in an Upper-Body Humanoid Robot. - Keng Peng Tee; Rui Yan 005; Yuanwei Chua; Zhiyong Huang 001; Haizhou Li 001 (Int. J. Humanoid Robotics, 2012)

A User Study for an Attention-Directed Robot for Telepresence. - Rui Yan 005; Keng Peng Tee; Yuanwei Chua; Zhiyong Huang 001 (ICOST, 2013)

Robust Optimal Inverse Kinematics with Self-Collision Avoidance for a Humanoid Robot. - Yuanwei Chua; Keng Peng Tee; Rui Yan 005 (RO-MAN, 2013)

Flexible and robust robotic arm design and skill learning by using recurrent neural networks. - Boon Hwa Tan; Huajin Tang; Rui Yan 005; Jun Tani (IROS, 2014)

Gesture-based attention direction for a telepresence robot: Design and experimental study. - Keng Peng Tee; Rui Yan 005; Yuanwei Chua; Zhiyong Huang 001; Somchaya Liemhetcharat (IROS, 2014)

Shared control of human and robot by approximate dynamic programming. - Yanan Li 001; Keng Peng Tee; Rui Yan 005; Dilip Kumar Limbu; Shuzhi Sam Ge (ACC, 2015)

Role adaptation of human and robot in collaborative tasks. - Yanan Li 001; Keng Peng Tee; Wei Liang Chan; Rui Yan 005; Yuanwei Chua; Dilip Kumar Limbu (ICRA, 2015)

Adaptive optimal control for coordination in physical human-robot interaction. - Yanan Li 001; Keng Peng Tee; Rui Yan 005; Wei Liang Chan; Yan Wu 002; Dilip Kumar Limbu (IROS, 2015)

Improving human-robot interactivity for tele-operated industrial and service robot applications. - Yan Wu 002; Wei Liang Chan; Yanan Li 001; Keng Peng Tee; Rui Yan 005; Dilip Kumar Limbu (RAM/CIS, 2015)

Fast low rank representation based spatial pyramid matching for image classification. - Xi Peng 001; Rui Yan 005; Bo Zhao 018; Huajin Tang; Zhang Yi 001 (Knowl. Based Syst., 2015)

Continuous Role Adaptation for Human-Robot Shared Control. - Yanan Li 001; Keng Peng Tee; Wei Liang Chan; Rui Yan 005; Yuanwei Chua; Dilip Kumar Limbu (IEEE Trans. Robotics, 2015)

Robot-to-human handover with obstacle avoidance via continuous time Recurrent Neural Network. - Huajin Tang; Boon Hwa Tan; Rui Yan 005 (CEC, 2016)

A Spiking Neural Network Model for Sound Recognition. - Rong Xiao 001; Rui Yan 005; Huajin Tang; Kay Chen Tan (ICCSIP, 2016)

A hierarchical visual recognition model with precise-spike-driven synaptic plasticity. - Xiaoliang Xu; Xin Jin 009; Rui Yan 005; Xun Cao (SSCI, 2016)

A Spiking Neural Network System for Robust Sequence Recognition. - Qiang Yu 005; Rui Yan 005; Huajin Tang; Kay Chen Tan; Haizhou Li 001 (IEEE Trans. Neural Networks Learn. Syst., 2016)

A Framework of Human-Robot Coordination Based on Game Theory and Policy Iteration. - Yanan Li 001; Keng Peng Tee; Rui Yan 005; Wei Liang Chan; Yan Wu 002 (IEEE Trans. Robotics, 2016)

A brain-inspired SLAM system based on ORB features. - Sun-Chun Zhou; Rui Yan 005; Jia-Xin Li; Ying-Ke Chen; Huajin Tang (Int. J. Autom. Comput., 2017)

Cognitive memory and mapping in a brain-like system for robotic navigation. - Huajin Tang; Weiwei Huang; Aditya Narayanamoorthy; Rui Yan 005 (Neural Networks, 2017)

Automatic Subspace Learning via Principal Coefficients Embedding. - Xi Peng 001; Jiwen Lu; Zhang Yi 001; Rui Yan 005 (IEEE Trans. Cybern., 2017)

Bag of Events: An Efficient Probability-Based Feature Extraction Method for AER Image Sensors. - Xi Peng 001; Bo Zhao 018; Rui Yan 005; Huajin Tang; Zhang Yi 001 (IEEE Trans. Neural Networks Learn. Syst., 2017)

A Gesture Recognition Method Based on Spiking Neural Networks for Cognition Development. - Dong Niu; Dengju Li; Rui Yan 005; Huajin Tang (ICONIP (1), 2018)

Cognitive Navigation by Neuro-Inspired Localization, Mapping, and Episodic Memory. - Huajin Tang; Rui Yan 005; Kay Chen Tan (IEEE Trans. Cogn. Dev. Syst., 2018)

Corrections to "Cognitive Navigation by Neuro-Inspired Localization, Mapping, and Episodic Memory". - Huajin Tang; Rui Yan 005; Kay Chen Tan (IEEE Trans. Cogn. Dev. Syst., 2018)

Visual Pattern Recognition Using Enhanced Visual Features and PSD-Based Learning Rule. - Xiaoliang Xu; Xin Jin 009; Rui Yan 005; Qiming Fang; Wensi Lu (IEEE Trans. Cogn. Dev. Syst., 2018)

Sparse Temporal Encoding of Visual Features for Robust Object Recognition by Spiking Neurons. - Yajing Zheng; Shixin Li; Rui Yan 005; Huajin Tang; Kay Chen Tan (IEEE Trans. Neural Networks Learn. Syst., 2018)

Dance to Music Expressively: A Brain-Inspired System Based on Audio-Semantic Model for Cognitive Development of Robots. - Dengju Li; Rui Yan 005; Xiaoliang Xu; Huajin Tang (ICONIP (4), 2019)

Fast and Accurate Classification with a Multi-Spike Learning Algorithm for Spiking Neurons. - Rong Xiao 001; Qiang Yu 005; Rui Yan 005; Huajin Tang (IJCAI, 2019)

A temporal encoding method based on expansion representation. - Yan Dai 008; Mengwen Yuan; Huajin Tang; Rui Yan 005 (IJCNN, 2019)

An Event-based Hierarchy Model for Object Recognition. - Ying Nan; Rong Xiao 001; Shaobing Gao; Rui Yan 005 (SSCI, 2019)

Robust Multipitch Estimation of Piano Sounds Using Deep Spiking Neural Networks. - Hanxiao Qian; Pengjie Gu; Rui Yan 005; Huajin Tang (SSCI, 2019)

SeqDLF: Deep Local Feature-Based Image Sequence Representation for Visual Loop Closure Detection. - Suogui Dang; Jiru Wang; Rui Yan 005; Huajin Tang (Aust. J. Intell. Inf. Process. Syst., 2019)

Reinforcement Learning in Spiking Neural Networks with Stochastic and Deterministic Synapses. - Mengwen Yuan; Xi Wu; Rui Yan 005; Huajin Tang (Neural Comput., 2019)

A structure-time parallel implementation of spike-based deep learning. - Xi Wu; Yixuan Wang; Huajin Tang; Rui Yan 005 (Neural Networks, 2019)

Automatic Object Searching and Behavior Learning for Mobile Robots in Unstructured Environment by Deep Belief Networks. - Jiru Wang; Vui Ann Shim; Rui Yan 005; Huajin Tang; Fuchun Sun 001 (IEEE Trans. Cogn. Dev. Syst., 2019)

Spike Trains Encoding Optimization for Spiking Neural Networks Implementation in FPGA. - Biao Fang; Yuhao Zhang 007; Rui Yan 005; Huajin Tang (ICACI, 2020)

An Event-based Categorization Model Using Spatio-temporal Features in a Spiking Neural Network. - Junwei Lu; Junfei Dong; Rui Yan 005; Huajin Tang (ICACI, 2020)

A Novel Mathematic Entorhinal-Hippocampal System Building Cognitive Map. - Jianxin Peng; Suogui Dang; Rui Yan 005; Huajin Tang (ICONIP (2), 2020)

Deep Spiking Neural Network Using Spatio-temporal Backpropagation with Variable Resistance. - Xianglan Wen; Pengjie Gu; Rui Yan 005; Huajin Tang (IJCNN, 2020)

An Event-Driven Object Recognition Model Using Activated Connected Domain Detection. - Tang Tang; Runhao Jiang; Rui Yan 005; Huajin Tang (SSCI, 2020)

Multi-Scale Extension in an Entorhinal-Hippocampal Model for Cognitive Map Building. - Jiru Wang; Rui Yan 005; Huajin Tang (Frontiers Neurorobotics, 2020)

An FPGA Implementation of Deep Spiking Neural Networks for Low-Power and Fast Classification. - Xiping Ju; Biao Fang; Rui Yan 005; Xiaoliang Xu; Huajin Tang (Neural Comput., 2020)

An Event-Driven Categorization Model for AER Image Sensors Using Multispike Encoding and Learning. - Rong Xiao 001; Huajin Tang; Yuhao Ma; Rui Yan 005; Garrick Orchard (IEEE Trans. Neural Networks Learn. Syst., 2020)

TaskDrop: A Competitive Baseline for Continual Learning of Sentiment Classification. - Jianping Mei; Yilun Zheng; Qianwei Zhou; Rui Yan 005 (CoRR, 2021)

Few-Shot Learning in Spiking Neural Networks by Multi-Timescale Optimization. - Runhao Jiang; Jie Zhang; Rui Yan 005; Huajin Tang (Neural Comput., 2021)

Why grid cells function as a metric for space. - Suogui Dang; Yining Wu; Rui Yan 005; Huajin Tang (Neural Networks, 2021)

Deep Spiking Neural Networks With Binary Weights for Object Recognition. - Yixuan Wang; Yang Xu; Rui Yan 005; Huajin Tang (IEEE Trans. Cogn. Dev. Syst., 2021)

Dynamic Resistance Based Spiking Actor Network for Improving Reinforcement Learning. - Jie Zhang; Runhao Jiang; Rong Xiao 001; Rui Yan 005 (ICCAI, 2022)

An Adaptive Convolution Auto-encoder Based on Spiking Neurons. - Chuanmeng Zhu; Jiaqiang Jiang; Runhao Jiang; Rui Yan 005 (ICONIP (2), 2022)

Towards Lossless ANN-SNN Conversion under Ultra-Low Latency with Dual-Phase Optimization. - Ziming Wang; Shuang Lian; Yuhao Zhang 007; Xiaoxin Cui; Rui Yan 005; Huajin Tang (CoRR, 2022)

A Low Latency Adaptive Coding Spiking Framework for Deep Reinforcement Learning. - Lang Qin; Rui Yan 005; Huajin Tang (CoRR, 2022)

Training Deep Convolutional Spiking Neural Networks With Spike Probabilistic Global Pooling. - Shuang Lian; Qianhui Liu; Rui Yan 005; Gang Pan 001; Huajin Tang (Neural Comput., 2022)

Event stream learning using spatio-temporal event surface. - Junfei Dong; Runhao Jiang; Rong Xiao 001; Rui Yan 005; Huajin Tang (Neural Networks, 2022)

TaskDrop: A competitive baseline for continual learning of sentiment classification. - Jian-Ping Mei; Yilun Zhen; Qianwei Zhou; Rui Yan 005 (Neural Networks, 2022)

A Hybrid Loop Closure Detection Method Based on Brain-Inspired Models. - Jiaxin Li; Huajin Tang; Rui Yan 005 (IEEE Trans. Cogn. Dev. Syst., 2022)

Adaptive Smoothing Gradient Learning for Spiking Neural Networks. - Ziming Wang; Runhao Jiang; Shuang Lian; Rui Yan 005; Huajin Tang (ICML, 2023)

Event-Based Object Recognition Using Feature Fusion and Spiking Neural Networks. - Menghao Su; Panpan Yang; Runhao Jiang; Rui Yan 005 (ICONIP (7), 2023)

Multi-neuron Information Fusion for Direct Training Spiking Neural Networks. - Jinze Wang; Jiaqiang Jiang; Shuang Lian; Rui Yan 005 (ICONIP (7), 2023)

Learnable Surrogate Gradient for Direct Training Spiking Neural Networks. - Shuang Lian; Jiangrong Shen; Qianhui Liu; Ziming Wang; Rui Yan 005; Huajin Tang (IJCAI, 2023)

A Low Latency Adaptive Coding Spike Framework for Deep Reinforcement Learning. - Lang Qin; Rui Yan 005; Huajin Tang (IJCAI, 2023)

Temporal Conditioning Spiking Latent Variable Models of the Neural Response to Natural Visual Scenes. - Gehua Ma; Runhao Jiang; Rui Yan 005; Huajin Tang (NeurIPS, 2023)

Neuromorphic Auditory Perception by Neural Spiketrum. - Huajin Tang; Pengjie Gu; Jayawan H. B. Wijekoon; MHD Anas Alsakkal; Ziming Wang; Jiangrong Shen; Rui Yan 005 (CoRR, 2023)

Deep Spike Learning With Local Classifiers. - Chenxiang Ma; Rui Yan 005; Zhaofei Yu; Qiang Yu 005 (IEEE Trans. Cybern., 2023)

HAIN: Multilabel Classification With Hierarchical Attention-Based Interaction Network for Multiturn Dialogue Texts. - Bin Cao 004; Kai Wang; Kui Ma; Jing Fan; Rui Yan 005; Yueshen Xu (IEEE Trans. Cogn. Dev. Syst., 2023)

Exploiting noise as a resource for computation and learning in spiking neural networks. - Gehua Ma; Rui Yan 005; Huajin Tang (Patterns, 2023)

Grid cell modeling with mapping representation of self-motion for path integration. - Jiru Wang; Rui Yan 005; Huajin Tang (Neural Comput. Appl., 2023)

Successive POI Recommendation via Brain-Inspired Spatiotemporal Aware Representation. - Gehua Ma; He Wang; Jingyuan Zhao; Rui Yan 005; Huajin Tang (AAAI, 2024)

JOSC: A Joint Model for Detecting Out-of-distribution Services based on Supervised Contrastive Learning. - Chen Yang 028; Bin Cao 004; Chenwei Tao; Rui Yan 005; Lihui Wu (ICWS, 2024)

An Event-based Feature Representation Method for Event Stream Classification using Deep Spiking Neural Networks. - Limei Liang; Runhao Jiang; Huajin Tang; Rui Yan 005 (IJCNN, 2024)

Multi-scale Harmonic Mean Time Surfaces for Event-based Object Classification. - Panpan Yang; Ziming Wang; Huajin Tang; Rui Yan 005 (IJCNN, 2024)

SpikingMiniLM: energy-efficient spiking transformer for natural language understanding. - Jiayu Zhang; Jiangrong Shen; Zeke Wang; Qinghai Guo; Rui Yan 005; Gang Pan 001; Huajin Tang (Sci. China Inf. Sci., 2024)

GRSN: Gated Recurrent Spiking Neurons for POMDPs and MARL. - Lang Qin; Ziming Wang; Runhao Jiang; Rui Yan 005; Huajin Tang (CoRR, 2024)

Darkit: A User-Friendly Software Toolkit for Spiking Large Language Model. - Xin Du 002; Shifan Ye; Qian Zheng; Yangfan Hu; Rui Yan 005; Shunyu Qi; Shuyang Chen; Huajin Tang; Gang Pan 001; Shuiguang Deng (CoRR, 2024)

Enhancing SNN-based spatio-temporal learning: A benchmark dataset and Cross-Modality Attention model. - Shibo Zhou; Bo Yang; Mengwen Yuan; Runhao Jiang; Rui Yan 005; Gang Pan 001; Huajin Tang (Neural Networks, 2024)

R-SNN: Region-Based Spiking Neural Network for Object Detection. - Xiaobo Jin; Ming Zhang 018; Rui Yan 005; Gang Pan 001; De Ma (IEEE Trans. Cogn. Dev. Syst., 2024)

Output Regularization With Cluster-Based Soft Targets. - Jian-Ping Mei; Wenhao Qiu; Defang Chen 001; Rui Yan 005; Jing Fan (IEEE Trans. Neural Networks Learn. Syst., 2024)

Attention-Based Deep Spiking Neural Networks for Temporal Credit Assignment Problems. - Lang Qin; Ziming Wang; Rui Yan 005; Huajin Tang (IEEE Trans. Neural Networks Learn. Syst., 2024)

Asymmetric Spatiotemporal Online Learning for Deep Spiking Neural Networks. - Rong Xiao 001; Limiao Ning; Yixuan Wang; Huajun Du; Sen Wang; Rui Yan 005 (IEEE Trans. Cogn. Dev. Syst., 2024)

Sweat Gland Enhancement Method for Fingertip OCT Images Based on Generative Adversarial Network. - Qingran Miao; Haixia Wang 002; Yilong Zhang 001; Rui Yan 005; Yipeng Liu 002 (IEEE Trans. Biom. Behav. Identity Sci., 2024)

Two-Stream Spiking Neural Network for Event-based Action Recognition. - Shuang Lian; Qianhui Liu; Ziling Wang; Jia Su; Zhibin Zuo; Yi Zhang; Rui Yan 005; Huajin Tang (ICASSP, 2025)

Adaptive Gradient-Based Timesurface for Event-based Detection. - Ziling Wang; Ziming Wang; Shuang Lian; Rui Yan 005; Huajin Tang (ICASSP, 2025)

OCT Fingerprint Presentation Attack Detection Based on Dual-Branch Reconstruction Differences. - Haixia Wang 002; Kun Xiao; Chengfang Zhu; Ronghua Liang; Yilong Zhang 001; Peng Chen 008; Yipeng Liu 002; Rui Yan 005 (IEEE Trans. Instrum. Meas., 2025)

Deep Spiking Neural Networks Driven by Adaptive Interval Membrane Potential for Temporal Credit Assignment Problem. - Jiaqiang Jiang; Haohui Ding; Haixia Wang 002; Rui Yan 005 (IEEE Trans. Emerg. Top. Comput. Intell., 2025)

Neuromorphic Auditory Perception by Neural Spiketrum. - Huajin Tang; Pengjie Gu; Jayawan H. B. Wijekoon; MHD Anas Alsakkal; Ziming Wang; Jiangrong Shen; Rui Yan 005; Gang Pan 001 (IEEE Trans. Emerg. Top. Comput. Intell., 2025)

Toward High-Accuracy and Low-Latency Spiking Neural Networks With Two-Stage Optimization. - Ziming Wang; Yuhao Zhang 007; Shuang Lian; Xiaoxin Cui; Rui Yan 005; Huajin Tang (IEEE Trans. Neural Networks Learn. Syst., 2025)

Adaptive Gradient Learning for Spiking Neural Networks by Exploiting Membrane Potential Dynamics. - Jiaqiang Jiang; Lei Wang; Runhao Jiang; Jing Fan; Rui Yan 005 (CoRR, 2025)