Rui Yan

Publication Activity (10 Years)

Years Active: 2006-2024
Publications (10 Years): 56

Top Topics

Reinforcement Learning

Object Recognition

Top Venues

IEEE Trans. Cogn. Dev. Syst.

IEEE Trans. Neural Networks Learn. Syst.

Neural Networks

Publications

Gehua Ma, He Wang, Jingyuan Zhao, Rui Yan, Huajin Tang
Successive POI Recommendation via Brain-Inspired Spatiotemporal Aware Representation. AAAI (2024)
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) (2024)
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) (2024)
Lang Qin, Ziming Wang, Runhao Jiang, Rui Yan, Huajin Tang
GRSN: Gated Recurrent Spiking Neurons for POMDPs and MARL. CoRR (2024)
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) (2024)
Ziming Wang, Runhao Jiang, Shuang Lian, Rui Yan, Huajin Tang
Adaptive Smoothing Gradient Learning for Spiking Neural Networks. ICML (2023)
Huajin Tang, Pengjie Gu, Jayawan H. B. Wijekoon, MHD Anas Alsakkal, Ziming Wang, Jiangrong Shen, Rui Yan
Neuromorphic Auditory Perception by Neural Spiketrum. CoRR (2023)
Shuang Lian, Jiangrong Shen, Qianhui Liu, Ziming Wang, Rui Yan, Huajin Tang
Learnable Surrogate Gradient for Direct Training Spiking Neural Networks. IJCAI (2023)
Lang Qin, Rui Yan, Huajin Tang
A Low Latency Adaptive Coding Spike Framework for Deep Reinforcement Learning. IJCAI (2023)
Chenxiang Ma, Rui Yan, Zhaofei Yu, Qiang Yu
Deep Spike Learning With Local Classifiers. IEEE Trans. Cybern. 53 (5) (2023)
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) (2023)
Gehua Ma, Rui Yan, Huajin Tang
Exploiting Noise as a Resource for Computation and Learning in Spiking Neural Networks. CoRR (2023)
Gehua Ma, Runhao Jiang, Rui Yan, Huajin Tang
Temporal Conditioning Spiking Latent Variable Models of the Neural Response to Natural Visual Scenes. CoRR (2023)
Menghao Su, Panpan Yang, Runhao Jiang, Rui Yan
Event-Based Object Recognition Using Feature Fusion and Spiking Neural Networks. ICONIP (7) (2023)
Jiru Wang, Rui Yan, Huajin Tang
Grid cell modeling with mapping representation of self-motion for path integration. Neural Comput. Appl. 35 (32) (2023)
Jinze Wang, Jiaqiang Jiang, Shuang Lian, Rui Yan
Multi-neuron Information Fusion for Direct Training Spiking Neural Networks. ICONIP (7) (2023)
Gehua Ma, Rui Yan, Huajin Tang
Exploiting noise as a resource for computation and learning in spiking neural networks. Patterns 4 (10) (2023)
Gehua Ma, Runhao Jiang, Rui Yan, Huajin Tang
Temporal Conditioning Spiking Latent Variable Models of the Neural Response to Natural Visual Scenes. NeurIPS (2023)
Junfei Dong, Runhao Jiang, Rong Xiao, Rui Yan, Huajin Tang
Event stream learning using spatio-temporal event surface. Neural Networks 154 (2022)
Chuanmeng Zhu, Jiaqiang Jiang, Runhao Jiang, Rui Yan
An Adaptive Convolution Auto-encoder Based on Spiking Neurons. ICONIP (2) (2022)
Jiaxin Li, Huajin Tang, Rui Yan
A Hybrid Loop Closure Detection Method Based on Brain-Inspired Models. IEEE Trans. Cogn. Dev. Syst. 14 (4) (2022)
Jie Zhang, Runhao Jiang, Rong Xiao, Rui Yan
Dynamic Resistance Based Spiking Actor Network for Improving Reinforcement Learning. ICCAI (2022)
Lang Qin, Rui Yan, Huajin Tang
A Low Latency Adaptive Coding Spiking Framework for Deep Reinforcement Learning. CoRR (2022)
Suogui Dang, Yining Wu, Rui Yan, Huajin Tang
Why grid cells function as a metric for space. Neural Networks 142 (2021)
Runhao Jiang, Jie Zhang, Rui Yan, Huajin Tang
Few-Shot Learning in Spiking Neural Networks by Multi-Timescale Optimization. Neural Comput. 33 (9) (2021)
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) (2021)
Jianxin Peng, Suogui Dang, Rui Yan, Huajin Tang
A Novel Mathematic Entorhinal-Hippocampal System Building Cognitive Map. ICONIP (2) (2020)
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) (2020)
Jiru Wang, Rui Yan, Huajin Tang
Multi-Scale Extension in an Entorhinal-Hippocampal Model for Cognitive Map Building. Frontiers Neurorobotics 14 (2020)
Biao Fang, Yuhao Zhang, Rui Yan, Huajin Tang
Spike Trains Encoding Optimization for Spiking Neural Networks Implementation in FPGA. ICACI (2020)
Xianglan Wen, Pengjie Gu, Rui Yan, Huajin Tang
Deep Spiking Neural Network Using Spatio-temporal Backpropagation with Variable Resistance. IJCNN (2020)
Tang Tang, Runhao Jiang, Rui Yan, Huajin Tang
An Event-Driven Object Recognition Model Using Activated Connected Domain Detection. SSCI (2020)
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) (2020)
Junwei Lu, Junfei Dong, Rui Yan, Huajin Tang
An Event-based Categorization Model Using Spatio-temporal Features in a Spiking Neural Network. ICACI (2020)
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) (2019)
Hanxiao Qian, Pengjie Gu, Rui Yan, Huajin Tang
Robust Multipitch Estimation of Piano Sounds Using Deep Spiking Neural Networks. SSCI (2019)
Mengwen Yuan, Xi Wu, Rui Yan, Huajin Tang
Reinforcement Learning in Spiking Neural Networks with Stochastic and Deterministic Synapses. Neural Comput. 31 (12) (2019)
Xi Wu, Yixuan Wang, Huajin Tang, Rui Yan
A structure-time parallel implementation of spike-based deep learning. Neural Networks 113 (2019)
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)
Rong Xiao, Qiang Yu, Rui Yan, Huajin Tang
Fast and Accurate Classification with a Multi-Spike Learning Algorithm for Spiking Neurons. IJCAI (2019)
Yan Dai, Mengwen Yuan, Huajin Tang, Rui Yan
A temporal encoding method based on expansion representation. IJCNN (2019)
Ying Nan, Rong Xiao, Shaobing Gao, Rui Yan
An Event-based Hierarchy Model for Object Recognition. SSCI (2019)
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) (2019)
Huajin Tang, Rui Yan, Kay Chen Tan
Cognitive Navigation by Neuro-Inspired Localization, Mapping, and Episodic Memory. IEEE Trans. Cogn. Dev. Syst. 10 (3) (2018)
Dong Niu, Dengju Li, Rui Yan, Huajin Tang
A Gesture Recognition Method Based on Spiking Neural Networks for Cognition Development. ICONIP (1) (2018)
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) (2018)
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) (2018)
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) (2018)
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) (2017)
Huajin Tang, Weiwei Huang, Aditya Narayanamoorthy, Rui Yan
Cognitive memory and mapping in a brain-like system for robotic navigation. Neural Networks 87 (2017)
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) (2017)
Huajin Tang, Boon Hwa Tan, Rui Yan
Robot-to-human handover with obstacle avoidance via continuous time Recurrent Neural Network. CEC (2016)
Rong Xiao, Rui Yan, Huajin Tang, Kay Chen Tan
A Spiking Neural Network Model for Sound Recognition. ICCSIP (2016)
Xiaoliang Xu, Xin Jin, Rui Yan, Xun Cao
A hierarchical visual recognition model with precise-spike-driven synaptic plasticity. SSCI (2016)
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) (2016)
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) (2016)
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 (2015)
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)
Xi Peng, Rui Yan, Bo Zhao, Huajin Tang, Zhang Yi
Fast Low-rank Representation based Spatial Pyramid Matching for Image Classification. CoRR (2014)
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) (2012)
Huajin Tang, Haizhou Li, Rui Yan
Memory Dynamics in Attractor Networks with Saliency Weights. Neural Comput. 22 (7) (2010)
Rui Yan, Keng Peng Tee, Yuanwei Chua, Huajin Tang
A gesture recognition system using Localist Attractor Networks for human-robot interaction. ROBIO (2010)
Rui Yan, Haizhou Li, Zhao Yang Dong, Huajin Tang
Nonlinear control approaches for SI engine model with uncertainties. CDC (2009)
Rui Yan, Meng Joo Er, Huajin Tang
An Improvement on Competitive Neural Networks Applied to Image Segmentation. ISNN (2) (2006)