Rui Yan

According to our database, Rui Yan authored at least 64 papers between 2006 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Successive POI Recommendation via Brain-Inspired Spatiotemporal Aware Representation.

Gehua Ma, He Wang, Jingyuan Zhao, Rui Yan, Huajin Tang

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Grid cell modeling with mapping representation of self-motion for path integration.

Jiru Wang, Rui Yan, Huajin Tang

Neural Comput. Appl., November, 2023

Exploiting noise as a resource for computation and learning in spiking neural networks.

Gehua Ma, Rui Yan, Huajin Tang

Patterns, October, 2023

HAIN: Multilabel Classification With Hierarchical Attention-Based Interaction Network for Multiturn Dialogue Texts.

Bin Cao, Kai Wang, Kui Ma, Jing Fan, Rui Yan, Yueshen Xu

IEEE Trans. Cogn. Dev. Syst., September, 2023

Deep Spike Learning With Local Classifiers.

Chenxiang Ma, Rui Yan, Zhaofei Yu, Qiang Yu

IEEE Trans. Cybern., May, 2023

Neuromorphic Auditory Perception by Neural Spiketrum.

Huajin Tang, Pengjie Gu, Jayawan H. B. Wijekoon, MHD Anas Alsakkal, Ziming Wang, Jiangrong Shen, Rui Yan

CoRR, 2023

Temporal Conditioning Spiking Latent Variable Models of the Neural Response to Natural Visual Scenes.

Gehua Ma, Runhao Jiang, Rui Yan, Huajin Tang

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

A Low Latency Adaptive Coding Spike Framework for Deep Reinforcement Learning.

Lang Qin, Rui Yan, Huajin Tang

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

Learnable Surrogate Gradient for Direct Training Spiking Neural Networks.

Shuang Lian, Jiangrong Shen, Qianhui Liu, Ziming Wang, Rui Yan, Huajin Tang

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

Multi-neuron Information Fusion for Direct Training Spiking Neural Networks.

Jinze Wang, Jiaqiang Jiang, Shuang Lian, Rui Yan

Proceedings of the Neural Information Processing - 30th International Conference, 2023

Event-Based Object Recognition Using Feature Fusion and Spiking Neural Networks.

Menghao Su, Panpan Yang, Runhao Jiang, Rui Yan

Proceedings of the Neural Information Processing - 30th International Conference, 2023

Adaptive Smoothing Gradient Learning for Spiking Neural Networks.

Ziming Wang, Runhao Jiang, Shuang Lian, Rui Yan, Huajin Tang

Proceedings of the International Conference on Machine Learning, 2023

2022

A Hybrid Loop Closure Detection Method Based on Brain-Inspired Models.

Jiaxin Li, Huajin Tang, Rui Yan

IEEE Trans. Cogn. Dev. Syst., 2022

Event stream learning using spatio-temporal event surface.

Junfei Dong, Runhao Jiang, Rong Xiao, Rui Yan, Huajin Tang

Neural Networks, 2022

Training Deep Convolutional Spiking Neural Networks With Spike Probabilistic Global Pooling.

Shuang Lian, Qianhui Liu, Rui Yan, Gang Pan, Huajin Tang

Neural Comput., 2022

A Low Latency Adaptive Coding Spiking Framework for Deep Reinforcement Learning.

Lang Qin, Rui Yan, Huajin Tang

CoRR, 2022

Towards Lossless ANN-SNN Conversion under Ultra-Low Latency with Dual-Phase Optimization.

Ziming Wang, Shuang Lian, Yuhao Zhang, Xiaoxin Cui, Rui Yan, Huajin Tang

CoRR, 2022

An Adaptive Convolution Auto-encoder Based on Spiking Neurons.

Chuanmeng Zhu, Jiaqiang Jiang, Runhao Jiang, Rui Yan

Proceedings of the Neural Information Processing - 29th International Conference, 2022

Dynamic Resistance Based Spiking Actor Network for Improving Reinforcement Learning.

Jie Zhang, Runhao Jiang, Rong Xiao, Rui Yan

Proceedings of the ICCAI '22: 8th International Conference on Computing and Artificial Intelligence, Tianjin, China, March 18, 2022

2021

Deep Spiking Neural Networks With Binary Weights for Object Recognition.

Yixuan Wang, Yang Xu, Rui Yan, Huajin Tang

IEEE Trans. Cogn. Dev. Syst., 2021

Why grid cells function as a metric for space.

Suogui Dang, Yining Wu, Rui Yan, Huajin Tang

Neural Networks, 2021

Few-Shot Learning in Spiking Neural Networks by Multi-Timescale Optimization.

Runhao Jiang, Jie Zhang, Rui Yan, Huajin Tang

Neural Comput., 2021

2020

An Event-Driven Categorization Model for AER Image Sensors Using Multispike Encoding and Learning.

Rong Xiao, Huajin Tang, Yuhao Ma, Rui Yan, Garrick Orchard

IEEE Trans. Neural Networks Learn. Syst., 2020

An FPGA Implementation of Deep Spiking Neural Networks for Low-Power and Fast Classification.

Xiping Ju, Biao Fang, Rui Yan, Xiaoliang Xu, Huajin Tang

Neural Comput., 2020

Multi-Scale Extension in an Entorhinal-Hippocampal Model for Cognitive Map Building.

Jiru Wang, Rui Yan, Huajin Tang

Frontiers Neurorobotics, 2020

An Event-Driven Object Recognition Model Using Activated Connected Domain Detection.

Tang Tang, Runhao Jiang, Rui Yan, Huajin Tang

Proceedings of the 2020 IEEE Symposium Series on Computational Intelligence, 2020

Deep Spiking Neural Network Using Spatio-temporal Backpropagation with Variable Resistance.

Xianglan Wen, Pengjie Gu, Rui Yan, Huajin Tang

Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

A Novel Mathematic Entorhinal-Hippocampal System Building Cognitive Map.

Jianxin Peng, Suogui Dang, Rui Yan, Huajin Tang

Proceedings of the Neural Information Processing - 27th International Conference, 2020

An Event-based Categorization Model Using Spatio-temporal Features in a Spiking Neural Network.

Junwei Lu, Junfei Dong, Rui Yan, Huajin Tang

Proceedings of the 12th International Conference on Advanced Computational Intelligence, 2020

Spike Trains Encoding Optimization for Spiking Neural Networks Implementation in FPGA.

Biao Fang, Yuhao Zhang, Rui Yan, Huajin Tang

Proceedings of the 12th International Conference on Advanced Computational Intelligence, 2020

2019

Automatic Object Searching and Behavior Learning for Mobile Robots in Unstructured Environment by Deep Belief Networks.

Jiru Wang, Vui Ann Shim, Rui Yan, Huajin Tang, Fuchun Sun

IEEE Trans. Cogn. Dev. Syst., 2019

A structure-time parallel implementation of spike-based deep learning.

Xi Wu, Yixuan Wang, Huajin Tang, Rui Yan

Neural Networks, 2019

Reinforcement Learning in Spiking Neural Networks with Stochastic and Deterministic Synapses.

Mengwen Yuan, Xi Wu, Rui Yan, Huajin Tang

Neural Comput., 2019

SeqDLF: Deep Local Feature-Based Image Sequence Representation for Visual Loop Closure Detection.

Suogui Dang, Jiru Wang, Rui Yan, Huajin Tang

Aust. J. Intell. Inf. Process. Syst., 2019

Robust Multipitch Estimation of Piano Sounds Using Deep Spiking Neural Networks.

Hanxiao Qian, Pengjie Gu, Rui Yan, Huajin Tang

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2019

An Event-based Hierarchy Model for Object Recognition.

Ying Nan, Rong Xiao, Shaobing Gao, Rui Yan

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2019

A temporal encoding method based on expansion representation.

Yan Dai, Mengwen Yuan, Huajin Tang, Rui Yan

Proceedings of the International Joint Conference on Neural Networks, 2019

Fast and Accurate Classification with a Multi-Spike Learning Algorithm for Spiking Neurons.

Rong Xiao, Qiang Yu, Rui Yan, Huajin Tang

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Dance to Music Expressively: A Brain-Inspired System Based on Audio-Semantic Model for Cognitive Development of Robots.

Dengju Li, Rui Yan, Xiaoliang Xu, Huajin Tang

Proceedings of the Neural Information Processing - 26th International Conference, 2019

2018

Sparse Temporal Encoding of Visual Features for Robust Object Recognition by Spiking Neurons.

Yajing Zheng, Shixin Li, Rui Yan, Huajin Tang, Kay Chen Tan

IEEE Trans. Neural Networks Learn. Syst., 2018

Visual Pattern Recognition Using Enhanced Visual Features and PSD-Based Learning Rule.

Xiaoliang Xu, Xin Jin, Rui Yan, Qiming Fang, Wensi Lu

IEEE Trans. Cogn. Dev. Syst., 2018

Corrections to "Cognitive Navigation by Neuro-Inspired Localization, Mapping, and Episodic Memory".

Huajin Tang, Rui Yan, Kay Chen Tan

IEEE Trans. Cogn. Dev. Syst., 2018

Cognitive Navigation by Neuro-Inspired Localization, Mapping, and Episodic Memory.

Huajin Tang, Rui Yan, Kay Chen Tan

IEEE Trans. Cogn. Dev. Syst., 2018

A Gesture Recognition Method Based on Spiking Neural Networks for Cognition Development.

Dong Niu, Dengju Li, Rui Yan, Huajin Tang

Proceedings of the Neural Information Processing - 25th International Conference, 2018

2017

Bag of Events: An Efficient Probability-Based Feature Extraction Method for AER Image Sensors.

Xi Peng, Bo Zhao, Rui Yan, Huajin Tang, Zhang Yi

IEEE Trans. Neural Networks Learn. Syst., 2017

Cognitive memory and mapping in a brain-like system for robotic navigation.

Huajin Tang, Weiwei Huang, Aditya Narayanamoorthy, Rui Yan

Neural Networks, 2017

A brain-inspired SLAM system based on ORB features.

Sun-Chun Zhou, Rui Yan, Jia-Xin Li, Ying-Ke Chen, Huajin Tang

Int. J. Autom. Comput., 2017

2016

A Framework of Human-Robot Coordination Based on Game Theory and Policy Iteration.

Yanan Li, Keng Peng Tee, Rui Yan, Wei Liang Chan, Yan Wu

IEEE Trans. Robotics, 2016

A Spiking Neural Network System for Robust Sequence Recognition.

Qiang Yu, Rui Yan, Huajin Tang, Kay Chen Tan, Haizhou Li

IEEE Trans. Neural Networks Learn. Syst., 2016

A hierarchical visual recognition model with precise-spike-driven synaptic plasticity.

Xiaoliang Xu, Xin Jin, Rui Yan, Xun Cao

Proceedings of the 2016 IEEE Symposium Series on Computational Intelligence, 2016

A Spiking Neural Network Model for Sound Recognition.

Rong Xiao, Rui Yan, Huajin Tang, Kay Chen Tan

Proceedings of the Cognitive Systems and Signal Processing, 2016

Robot-to-human handover with obstacle avoidance via continuous time Recurrent Neural Network.

Huajin Tang, Boon Hwa Tan, Rui Yan

Proceedings of the IEEE Congress on Evolutionary Computation, 2016

2015

Fast low rank representation based spatial pyramid matching for image classification.

Xi Peng, Rui Yan, Bo Zhao, Huajin Tang, Zhang Yi

Knowl. Based Syst., 2015

Shared control of human and robot by approximate dynamic programming.

Yanan Li, Keng Peng Tee, Rui Yan, Dilip Kumar Limbu, Shuzhi Sam Ge

Proceedings of the American Control Conference, 2015

2014

Flexible and robust robotic arm design and skill learning by using recurrent neural networks.

Boon Hwa Tan, Huajin Tang, Rui Yan, Jun Tani

Proceedings of the 2014 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2014

2012

Modular IK: a Robust Inverse Kinematic Algorithm for Gesture Imitation in an Upper-Body Humanoid Robot.

Keng Peng Tee, Rui Yan, Yuanwei Chua, Zhiyong Huang, Haizhou Li

Int. J. Humanoid Robotics, 2012

Gesture Recognition Based on Localist Attractor Networks with Application to Robot Control [Application Notes].

Rui Yan, Keng Peng Tee, Yuanwei Chua, Haizhou Li, Huajin Tang

IEEE Comput. Intell. Mag., 2012

Adaptive control for robot manipulators under ellipsoidal task space constraints.

Keng Peng Tee, Shuzhi Sam Ge, Rui Yan, Haizhou Li

Proceedings of the 2012 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2012

2010

Memory Dynamics in Attractor Networks with Saliency Weights.

Huajin Tang, Haizhou Li, Rui Yan

Neural Comput., 2010

Nonlinear Control of a Robot Manipulator with Time-Varying Uncertainties.

Rui Yan, Keng Peng Tee, Haizhou Li

Proceedings of the Social Robotics - Second International Conference on Social Robotics, 2010

A gesture recognition system using Localist Attractor Networks for human-robot interaction.

Rui Yan, Keng Peng Tee, Yuanwei Chua, Huajin Tang

Proceedings of the 2010 IEEE International Conference on Robotics and Biomimetics, 2010

Adaptive admittance control of a robot manipulator under task space constraint.

Keng Peng Tee, Rui Yan, Haizhou Li

Proceedings of the IEEE International Conference on Robotics and Automation, 2010

2009

Nonlinear control approaches for SI engine model with uncertainties.

Rui Yan, Haizhou Li, Zhao Yang Dong, Huajin Tang

Proceedings of the 48th IEEE Conference on Decision and Control, 2009

2006

An Improvement on Competitive Neural Networks Applied to Image Segmentation.

Rui Yan, Meng Joo Er, Huajin Tang

Proceedings of the Advances in Neural Networks - ISNN 2006, Third International Symposium on Neural Networks, Chengdu, China, May 28, 2006