Huajin Tang

According to our database, Huajin Tang authored at least 176 papers between 2004 and 2024.

Collaborative distances:

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

2024

IM-LIF: Improved Neuronal Dynamics With Attention Mechanism for Direct Training Deep Spiking Neural Network.

Shuang Lian, Jiangrong Shen, Ziming Wang, Huajin Tang

IEEE Trans. Emerg. Top. Comput. Intell., April, 2024

CIS Publication Spotlight [Publication Spotlight].

Yongduan Song, Dongrui Wu, Carlos A. Coello Coello, Georgios N. Yannakakis, Huajin Tang, Yiu-ming Cheung

IEEE Comput. Intell. Mag., February, 2024

SPAIC: A Spike-Based Artificial Intelligence Computing Framework.

Chaofei Hong, Mengwen Yuan, Mengxiao Zhang, Xiao Wang, Chengjun Zhang, Jiaxin Wang, Gang Pan, Huajin Tang

IEEE Comput. Intell. Mag., February, 2024

A High-Precision LiDAR-Inertial Odometry via Invariant Extended Kalman Filtering and Efficient Surfel Mapping.

Houzhan Zhang, Rong Xiao, Jiaxin Li, Chuangye Yan, Huajin Tang

IEEE Trans. Instrum. Meas., 2024

EAS-SNN: End-to-End Adaptive Sampling and Representation for Event-based Detection with Recurrent Spiking Neural Networks.

Ziming Wang, Ziling Wang, Huaning Li, Lang Qin, Runhao Jiang, De Ma, Huajin Tang

CoRR, 2024

Deep Pulse-Coupled Neural Networks.

Zexiang Yi, Jing Lian, Yunliang Qi, Zhaofei Yu, Huajin Tang, Yide Ma, Jizhao Liu

CoRR, 2024

Efficient Spiking Neural Networks with Sparse Selective Activation for Continual Learning.

Jiangrong Shen, Wenyao Ni, Qi Xu, Huajin Tang

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

A Cell-Based Fast Memetic Algorithm for Automated Convolutional Neural Architecture Design.

Junwei Dong, Boyu Hou, Liang Feng, Huajin Tang, Kay Chen Tan, Yew-Soon Ong

IEEE Trans. Neural Networks Learn. Syst., November, 2023

Human-Level Control Through Directly Trained Deep Spiking Q-Networks.

Guisong Liu, Wenjie Deng, Xiurui Xie, Li Huang, Huajin Tang

IEEE Trans. Cybern., November, 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

Dual memory model for experience-once task-incremental lifelong learning.

Gehua Ma, Runhao Jiang, Lang Wang, Huajin Tang

Neural Networks, September, 2023

Sequential sparse autoencoder for dynamic heading representation in ventral intraparietal area.

Wei Gao, Jiangrong Shen, Yipeng Lin, Kejun Wang, Zheng Lin, Huajin Tang, Xiaodong Chen

Comput. Biol. Medicine, September, 2023

Spiking Deep Residual Networks.

Yangfan Hu, Huajin Tang, Gang Pan

IEEE Trans. Neural Networks Learn. Syst., August, 2023

Event-driven spiking neural networks with spike-based learning.

Limiao Ning, Junfei Dong, Rong Xiao, Kay Chen Tan, Huajin Tang

Memetic Comput., June, 2023

CIS Publication Spotlight [Publication Spotlight].

Yongduan Song, Dongrui Wu, Carlos A. Coello Coello, Georgios N. Yannakakis, Huajin Tang, Yiu-Ming Cheung, Hussein A. Abbass

IEEE Comput. Intell. Mag., May, 2023

Editorial IEEE Transactions on Cognitive and Developmental Systems.

Huajin Tang

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

Towards Energy-Preserving Natural Language Understanding With Spiking Neural Networks.

Rong Xiao, Yu Wan, Baosong Yang, Haibo Zhang, Huajin Tang, Derek F. Wong, Boxing Chen

IEEE ACM Trans. Audio Speech Lang. Process., 2023

Symmetric-threshold ReLU for Fast and Nearly Lossless ANN-SNN Conversion.

Jianing Han, Ziming Wang, Jiangrong Shen, Huajin Tang

Int. J. Autom. Comput., 2023

Darwin3: A large-scale neuromorphic chip with a Novel ISA and On-Chip Learning.

De Ma, Xiaofei Jin, Shichun Sun, Yitao Li, Xundong Wu, Youneng Hu, Fangchao Yang, Huajin Tang, Xiaolei Zhu, Peng Lin, Gang Pan

CoRR, 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

Unleashing the Potential of Spiking Neural Networks for Sequential Modeling with Contextual Embedding.

Xinyi Chen, Jibin Wu, Huajin Tang, Qinyuan Ren, Kay Chen Tan

CoRR, 2023

Spiking Neural Network for Ultra-low-latency and High-accurate Object Detection.

Jinye Qu, Zeyu Gao, Tielin Zhang, Yanfeng Lu, Huajin Tang, Hong Qiao

CoRR, 2023

Mitigating Communication Costs in Neural Networks: The Role of Dendritic Nonlinearity.

Xundong Wu, Pengfei Zhao, Zilin Yu, Lei Ma, Ka-Wa Yip, Huajin Tang, Gang Pan, Tiejun Huang

CoRR, 2023

Biologically inspired structure learning with reverse knowledge distillation for spiking neural networks.

Qi Xu, Yaxin Li, Xuanye Fang, Jiangrong Shen, Jian K. Liu, Huajin Tang, Gang Pan

CoRR, 2023

Enhancing Adaptive History Reserving by Spiking Convolutional Block Attention Module in Recurrent Neural Networks.

Qi Xu, Yuyuan Gao, Jiangrong Shen, Yaxin Li, Xuming Ran, Huajin Tang, Gang Pan

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

Spiking Reinforcement Learning with Memory Ability for Mapless Navigation.

Bo Yang, Mengwen Yuan, Chengjun Zhang, Chaofei Hong, Gang Pan, Huajin Tang

IROS, 2023

Bipolar Population Threshold Encoding for Audio Recognition with Deep Spiking Neural Networks.

Xiaocui Lin, Jiangrong Shen, Jun Wen, Huajin Tang

Proceedings of the International Joint Conference on Neural Networks, 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

CMCI: A Robust Multimodal Fusion Method for Spiking Neural Networks.

Runhao Jiang, Jianing Han, Yingying Xue, Ping Wang, Huajin Tang

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

Constructing Deep Spiking Neural Networks from Artificial Neural Networks with Knowledge Distillation.

Qi Xu, Yaxin Li, Jiangrong Shen, Jian K. Liu, Huajin Tang, Gang Pan

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

ESL-SNNs: An Evolutionary Structure Learning Strategy for Spiking Neural Networks.

Jiangrong Shen, Qi Xu, Jian K. Liu, Yueming Wang, Gang Pan, Huajin Tang

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Robust Transcoding Sensory Information With Neural Spikes.

Qi Xu, Jiangrong Shen, Xuming Ran, Huajin Tang, Gang Pan, Jian K. Liu

IEEE Trans. Neural Networks Learn. Syst., 2022

Effective Transfer Learning Algorithm in Spiking Neural Networks.

Qiugang Zhan, Guisong Liu, Xiurui Xie, Guolin Sun, Huajin Tang

IEEE Trans. Cybern., 2022

Toward Efficient Processing and Learning With Spikes: New Approaches for Multispike Learning.

Qiang Yu, Shenglan Li, Huajin Tang, Longbiao Wang, Jianwu Dang, Kay Chen Tan

IEEE Trans. Cybern., 2022

An Efficient Learning Algorithm for Direct Training Deep Spiking Neural Networks.

Xiaolei Zhu, Baixin Zhao, De Ma, Huajin Tang

IEEE Trans. Cogn. Dev. Syst., 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

SPAIC: A Spike-based Artificial Intelligence Computing Framework.

Chaofei Hong, Mengwen Yuan, Mengxiao Zhang, Xiao Wang, Chengjun Zhang, Jiaxin Wang, Gang Pan, Zhaohui Wu, 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

CIS Publication Spotlight [Publication Spotlight].

Yongduan Song, Jon Garibaldi, Carlos A. Coello Coello, Georgios N. Yannakakis, Huajin Tang, Yew Soon Ong, Hussein A. Abbass

IEEE Comput. Intell. Mag., 2022

Vision-Action Semantic Associative Learning Based on Spiking Neural Networks for Cognitive Robot.

Jiaxin Li, Dengju Li, Runhao Jiang, Rong Xiao, Huajin Tang, Kay Chen Tan

IEEE Comput. Intell. Mag., 2022

Multi-Level Firing with Spiking DS-ResNet: Enabling Better and Deeper Directly-Trained Spiking Neural Networks.

Lang Feng, Qianhui Liu, Huajin Tang, De Ma, Gang Pan

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Learning Local Event-based Descriptor for Patch-based Stereo Matching.

Peigen Liu, Guang Chen, Zhijun Li, Huajin Tang, Alois C. Knoll

Proceedings of the 2022 International Conference on Robotics and Automation, 2022

Event-Based Multimodal Spiking Neural Network with Attention Mechanism.

Qianhui Liu, Dong Xing, Lang Feng, Huajin Tang, Gang Pan

Proceedings of the IEEE International Conference on Acoustics, 2022

2021

Robust Environmental Sound Recognition With Sparse Key-Point Encoding and Efficient Multispike Learning.

Qiang Yu, Yanli Yao, Longbiao Wang, Huajin Tang, Jianwu Dang, Kay Chen Tan

IEEE Trans. Neural Networks Learn. Syst., 2021

NeuroAED: Towards Efficient Abnormal Event Detection in Visual Surveillance With Neuromorphic Vision Sensor.

Guang Chen, Peigen Liu, Zhengfa Liu, Huajin Tang, Lin Hong, Jinhu Dong, Jörg Conradt, Alois C. Knoll

IEEE Trans. Inf. Forensics Secur., 2021

A Novel Illumination-Robust Hand Gesture Recognition System With Event-Based Neuromorphic Vision Sensor.

Guang Chen, Zhongcong Xu, Zhijun Li, Huajin Tang, Sanqing Qu, Kejia Ren, Alois C. Knoll

IEEE Trans Autom. Sci. Eng., 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

Editorial: Explainable Artificial Intelligence and Neuroscience: Cross-Disciplinary Perspectives.

Jeffrey L. Krichmar, James Leland Olds, Juan Vicente Sánchez-Andrés, Huajin Tang

Frontiers Neurorobotics, 2021

Editorial: Understanding and Bridging the Gap Between Neuromorphic Computing and Machine Learning.

Lei Deng, Huajin Tang, Kaushik Roy

Frontiers Comput. Neurosci., 2021

Event-based Action Recognition Using Motion Information and Spiking Neural Networks.

Qianhui Liu, Dong Xing, Huajin Tang, De Ma, Gang Pan

Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

Indoor Lighting Estimation Using an Event Camera.

Zehao Chen, Qian Zheng, Peisong Niu, Huajin Tang, Gang Pan

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 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

Unsupervised AER Object Recognition Based on Multiscale Spatio-Temporal Features and Spiking Neurons.

Qianhui Liu, Gang Pan, Haibo Ruan, Dong Xing, Qi Xu, Huajin Tang

IEEE Trans. Neural Networks Learn. Syst., 2020

Event-Based Neuromorphic Vision for Autonomous Driving: A Paradigm Shift for Bio-Inspired Visual Sensing and Perception.

Guang Chen, Hu Cao, Jörg Conradt, Huajin Tang, Florian Röhrbein, Alois C. Knoll

IEEE Signal Process. Mag., 2020

Deep CovDenseSNN: A hierarchical event-driven dynamic framework with spiking neurons in noisy environment.

Qi Xu, Jianxin Peng, Jiangrong Shen, Huajin Tang, Gang Pan

Neural Networks, 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

Towards Efficient Processing and Learning with Spikes: New Approaches for Multi-Spike Learning.

Qiang Yu, Shenglan Li, Huajin Tang, Longbiao Wang, Jianwu Dang, Kay Chen Tan

CoRR, 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

Effective AER Object Classification Using Segmented Probability-Maximization Learning in Spiking Neural Networks.

Qianhui Liu, Haibo Ruan, Dong Xing, Huajin Tang, Gang Pan

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Guest Editorial Special Section on Emerging Information Sharing and Design Technologies on Robotics and Mechatronics Systems for Intelligent Manufacturing.

Guilin Yang, I-Ming Chen, Chin-Yin Chen, Huajin Tang, Chi Zhang

IEEE Trans. Ind. Informatics, 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

Robust Environmental Sound Recognition with Sparse Key-point Encoding and Efficient Multi-spike Learning.

Qiang Yu, Yanli Yao, Longbiao Wang, Huajin Tang, Jianwu Dang, Kay Chen Tan

CoRR, 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

Image Neural Style Transfer With Preserving the Salient Regions.

Yijun Liu, Zuoteng Xu, Wujian Ye, Ziwen Zhang, Shaowei Weng, Chin-Chen Chang, Huajin Tang

IEEE Access, 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 Unsupervised Spiking Deep Neural Network for Object Recognition.

Zeyang Song, Xi Wu, Mengwen Yuan, Huajin Tang

Proceedings of the Advances in Neural Networks - ISNN 2019, 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

STCA: Spatio-Temporal Credit Assignment with Delayed Feedback in Deep Spiking Neural Networks.

Pengjie Gu, Rong Xiao, Gang Pan, 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

A Multi-spike Approach for Robust Sound Recognition.

Qiang Yu, Yanli Yao, Longbiao Wang, Huajin Tang, Jianwu Dang

Proceedings of the IEEE International Conference on Acoustics, 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

Connections Between Nuclear-Norm and Frobenius-Norm-Based Representations.

Xi Peng, Canyi Lu, Zhang Yi, Huajin Tang

IEEE Trans. Neural Networks Learn. 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

Guest Editorial Special Issue on Neuromorphic Computing and Cognitive Systems.

Huajin Tang, Tiejun Huang, Jeffrey L. Krichmar, Garrick Orchard, Arindam Basu

IEEE Trans. Cogn. Dev. Syst., 2018

Spike-based encoding and learning of spectrum features for robust sound recognition.

Rong Xiao, Huajin Tang, Pengjie Gu, Xiaoliang Xu

Neurocomputing, 2018

Spiking Deep Residual Network.

Yangfan Hu, Huajin Tang, Yueming Wang, Gang Pan

CoRR, 2018

A Supervised Multi-Spike Learning Algorithm for Spiking Neural Networks.

Yu Miao, Huajin Tang, Gang Pan

Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

CSNN: An Augmented Spiking based Framework with Perceptron-Inception.

Qi Xu, Yu Qi, Hang Yu, Jiangrong Shen, Huajin Tang, Gang Pan

Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Jointly Learning Network Connections and Link Weights in Spiking Neural Networks.

Yu Qi, Jiangrong Shen, Yueming Wang, Huajin Tang, Hang Yu, Zhaohui Wu, Gang Pan

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

Neuromorphic Cognitive Systems - A Learning and Memory Centered Approach

Qiang Yu, Huajin Tang, Jun Hu, Kay Chen Tan

Intelligent Systems Reference Library 126, Springer, ISBN: 978-3-319-55310-8, 2017

Guest Editorial Learning in Neuromorphic Systems and Cyborg Intelligence.

Zhaohui Wu, Ryad Benosman, Huajin Tang, Shih-Chii Liu

IEEE Trans. Neural Networks Learn. Syst., 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

Constructing the L2-Graph for Robust Subspace Learning and Subspace Clustering.

Xi Peng, Zhiding Yu, Zhang Yi, Huajin Tang

IEEE Trans. Cybern., 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

Spike trains encoding and threshold rescaling method for deep spiking neural networks.

Yang Xu, Huajin Tang, Jinwei Xing, Hongying Li

Proceedings of the 2017 IEEE Symposium Series on Computational Intelligence, 2017

A neurally inspired pattern recognition approach with latency-phase encoding and precise-spike-driven rule in spiking neural network.

Na Guo, Rong Xiao, Shaobing Gao, Huajin Tang

Proceedings of the 2017 IEEE International Conference on Cybernetics and Intelligent Systems (CIS) and IEEE Conference on Robotics, 2017

An Event-Driven Computational System with Spiking Neurons for Object Recognition.

Yuhao Ma, Rong Xiao, Huajin Tang

Proceedings of the Neural Information Processing - 24th International Conference, 2017

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 Unified Framework for Representation-Based Subspace Clustering of Out-of-Sample and Large-Scale Data.

Xi Peng, Huajin Tang, Lei Zhang, Zhang Yi, Shijie Xiao

IEEE Trans. Neural Networks Learn. Syst., 2016

Editorial.

Hussein A. Abbass, Huajin Tang, Meng-Hiot Lim

Memetic Comput., 2016

How the Brain Formulates Memory: A Spatio-Temporal Model Research Frontier.

Jun Hu, Huajin Tang, Kay Chen Tan, Haizhou Li

IEEE Comput. Intell. Mag., 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

Hebbian learning analysis of a grid cell based cognitive mapping system.

Jun Hu, Miaolong Yuan, Huajin Tang, Wei-Yun Yau

Proceedings of the IEEE Congress on Evolutionary Computation, 2016

2015

Feedforward Categorization on AER Motion Events Using Cortex-Like Features in a Spiking Neural Network.

Bo Zhao, Ruoxi Ding, Shoushun Chen, Bernabé Linares-Barranco, Huajin Tang

IEEE Trans. Neural Networks Learn. Syst., 2015

Adaptive Memetic Computing for Evolutionary Multiobjective Optimization.

Vui Ann Shim, Kay Chen Tan, Huajin Tang

IEEE Trans. Cybern., 2015

A Simplified Cerebellar Model with Priority-based Delayed Eligibility Trace Learning for Motor Control.

Vui Ann Shim, Chris Stephen Naveen Ranjit, Bo Tian, Miaolong Yuan, Huajin Tang

IEEE Trans. Auton. Ment. Dev., 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

Connections Between Nuclear Norm and Frobenius Norm Based Representation.

Xi Peng, Canyi Lu, Zhang Yi, Huajin Tang

CoRR, 2015

Grasping control for a neuro-cognitive robot.

Boon Hwa Tan, Huajin Tang

Proceedings of the 7th International Conference on Cybernetics and Intelligent Systems, 2015

Applying low rank representation based spatial pyramid matching in welding image classification.

Aditya Narayanamoorthy, Xi Peng, Huajin Tang

Proceedings of the 7th International Conference on Cybernetics and Intelligent Systems, 2015

An Entorhinal-Hippocampal Model for Simultaneous Cognitive Map Building.

Miaolong Yuan, Bo Tian, Vui Ann Shim, Huajin Tang, Haizhou Li

Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

Robust Subspace Clustering via Thresholding Ridge Regression.

Xi Peng, Zhang Yi, Huajin Tang

Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

2014

Real-Time Keypoint Recognition Using Restricted Boltzmann Machine.

Miaolong Yuan, Huajin Tang, Haizhou Li

IEEE Trans. Neural Networks Learn. Syst., 2014

A brain-inspired spiking neural network model with temporal encoding and learning.

Qiang Yu, Huajin Tang, Kay Chen Tan, Haoyong Yu

Neurocomputing, 2014

Guest editorial: Special issue on brain inspired models of cognitive memory.

Huajin Tang, Kiruthika Ramanathan, Ning Ning

Neurocomputing, 2014

Vision enhanced neuro-cognitive structure for robotic spatial cognition.

Weiwei Huang, Huajin Tang, Bo Tian

Neurocomputing, 2014

Principal Coefficients Embedding: Theory and Algorithm.

Xi Peng, Zhang Yi, Huajin Tang

CoRR, 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

Direction-driven navigation using cognitive map for mobile robots.

Vui Ann Shim, Bo Tian, Miaolong Yuan, Huajin Tang, Haizhou Li

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

Bio-inspired categorization using event-driven feature extraction and spike-based learning.

Bo Zhao, Shoushun Chen, Huajin Tang

Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

A new learning rule for classification of spatiotemporal spike patterns.

Qiang Yu, Huajin Tang, Kay Chen Tan

Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

Event-driven simulation of the tempotron spiking neuron.

Bo Zhao, Qiang Yu, Ruoxi Ding, Shoushun Chen, Huajin Tang

Proceedings of the IEEE Biomedical Circuits and Systems Conference, 2014

2013

Rapid Feedforward Computation by Temporal Encoding and Learning With Spiking Neurons.

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

IEEE Trans. Neural Networks Learn. Syst., 2013

Dynamics Analysis of a Population Decoding Model.

Jiali Yu, Huajin Tang, Haizhou Li

IEEE Trans. Neural Networks Learn. Syst., 2013

A Spike-Timing-Based Integrated Model for Pattern Recognition.

Jun Hu, Huajin Tang, Kay Chen Tan, Haizhou Li, Luping Shi

Neural Comput., 2013

Continuous attractors of discrete-time recurrent neural networks.

Jiali Yu, Huajin Tang, Haizhou Li

Neural Comput. Appl., 2013

Dynamical properties of continuous attractor neural network with background tuning.

Jiali Yu, Huajin Tang, Haizhou Li, Luping Shi

Neurocomputing, 2013

RGB-D based cognitive map building and navigation.

Bo Tian, Vui Ann Shim, Miaolong Yuan, Chithra Srinivasan, Huajin Tang, Haizhou Li

Proceedings of the 2013 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2013

A computationally efficient associative memory model of hippocampus CA3 by spiking neurons.

Chin Hiong Tan, Huajin Tang, Eng Yeow Cheu, Jun Hu

Proceedings of the 2013 International Joint Conference on Neural Networks, 2013

A hierarchical organized memory model using spiking neurons.

Jun Hu, Huajin Tang, Kay Chen Tan

Proceedings of the 2013 International Joint Conference on Neural Networks, 2013

A Simplified Cerebellum-Based Model for Motor Control in Brain Based Devices.

Vui Ann Shim, Chris Stephen Naveen Ranjit, Bo Tian, Huajin Tang

Proceedings of the Neural Information Processing - 20th International Conference, 2013

A neuro-cognitive system and its application in robotics.

Huajin Tang, Bo Tian, Vui Ann Shim, Kay Chen Tan

Proceedings of the 10th IEEE International Conference on Control and Automation, 2013

Temporal coding of local spectrogram features for robust sound recognition.

Jonathan William Dennis, Qiang Yu, Huajin Tang, Tran Huy Dat, Haizhou Li

Proceedings of the IEEE International Conference on Acoustics, 2013

Spiking-timing based pattern recognition with real-world visual stimuli.

Jun Hu, Huajin Tang, Kay Chen Tan

Proceedings of the 2013 IEEE Symposium on Computational Intelligence, 2013

A bio-inspired feedforward system for categorization of AER motion events.

Bo Zhao, Qiang Yu, Hang Yu, Shoushun Chen, Huajin Tang

Proceedings of the 2013 IEEE Biomedical Circuits and Systems Conference (BioCAS), Rotterdam, The Netherlands, October 31, 2013

2012

Neural Networks and Learning Systems Come Together.

Bart Baesens, Pantelis Bouboulis, Sergio Cruces, Carlotta Domeniconi, Shiro Ikeda, Xuelong Li, Patricia Melin, Vadrevu Sree Hari Rao, Björn W. Schuller, Yi Shen, Huajin Tang, Cong Wang, Jian Yang, Derong Zhao, Derong Liu

IEEE Trans. Neural Networks Learn. Syst., 2012

Synaptic conditions for auto-associative memory storage and pattern completion in Jensen et al.'s model of hippocampal area CA3.

Eng Yeow Cheu, Jiali Yu, Chin Hiong Tan, Huajin Tang

J. Comput. Neurosci., 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

Pattern recognition computation in a spiking neural network with temporal encoding and learning.

Qiang Yu, Kay Chen Tan, Huajin Tang

Proceedings of the 2012 International Joint Conference on Neural Networks (IJCNN), 2012

Learning real-world stimuli by single-spike coding and tempotron rule.

Huajin Tang, Qiang Yu, Kay Chen Tan

Proceedings of the 2012 International Joint Conference on Neural Networks (IJCNN), 2012

2011

Information Theoretic Learning: Reny's Entropy and Kernel Perspectives (Principe, J.; 2010) [Book Review].

Huajin Tang, Haizhou Li

IEEE Comput. Intell. Mag., 2011

Brain Inspired Cognitive System for Learning and Memory.

Huajin Tang, Weiwei Huang

Proceedings of the Neural Information Processing - 18th International Conference, 2011

Associative Memory Model of Hippocampus CA3 Using Spike Response Neurons.

Chin Hiong Tan, Eng Yeow Cheu, Jun Hu, Qiang Yu, Huajin Tang

Proceedings of the Neural Information Processing - 18th International Conference, 2011

A Neuro-cognitive Robot for Spatial Navigation.

Weiwei Huang, Huajin Tang, Jiali Yu, Chin Hiong Tan

Proceedings of the Neural Information Processing - 18th International Conference, 2011

2010

A discrete-time neural network for optimization problems with hybrid constraints.

Huajin Tang, Haizhou Li, Zhang Yi

IEEE Trans. Neural Networks, 2010

Memory Dynamics in Attractor Networks with Saliency Weights.

Huajin Tang, Haizhou Li, Rui Yan

Neural Comput., 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

Restricted Boltzmann machine based algorithm for multi-objective optimization.

Huajin Tang, Vui Ann Shim, Kay Chen Tan, Jun Yong Chia

Proceedings of the IEEE Congress on Evolutionary Computation, 2010

2009

Nontrivial Global Attractors in 2-D Multistable Attractor Neural Networks.

Lan Zou, Huajin Tang, Kay Chen Tan, Weinian Zhang

IEEE Trans. Neural Networks, 2009

Analysis of Continuous Attractors for 2-D Linear Threshold Neural Networks.

Lan Zou, Huajin Tang, Kay Chen Tan, Weinian Zhang

IEEE Trans. Neural Networks, 2009

Natural scene statistics and the structure of orientation maps in the visual cortex.

Jonathan J. Hunt, Clare E. Giacomantonio, Huajin Tang, Duncan Mortimer, Sajjida Jaffer, Vasily Vorobyov, Geoffery Ericksson, Frank Sengpiel, Geoffrey J. Goodhill

NeuroImage, 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

2008

An asynchronous recurrent linear threshold network approach to solving the traveling salesman problem.

Eu Jin Teoh, Kay Chen Tan, Huajin Tang, Cheng Xiang, Chi Keong Goh

Neurocomputing, 2008

2006

Dynamics analysis and analog associative memory of networks with LT neurons.

Huajin Tang, Kay Chen Tan, Eu Jin Teoh

IEEE Trans. Neural Networks, 2006

Improving local minima of columnar competitive model for TSPs.

Hong Qu, Zhang Yi, Huajin Tang

IEEE Trans. Circuits Syst. I Regul. Pap., 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

A Columnar Competitive Model with Simulated Annealing for Solving Combinatorial Optimization Problems.

Eu Jin Teoh, Huajin Tang, Kay Chen Tan

Proceedings of the International Joint Conference on Neural Networks, 2006

2005

Qualitative analysis for recurrent neural networks with linear threshold transfer functions.

Kay Chen Tan, Huajin Tang, Weinian Zhang

IEEE Trans. Circuits Syst. I Regul. Pap., 2005

On parameter settings of Hopfield networks applied to traveling salesman problems.

Kay Chen Tan, Huajin Tang, Shuzhi Sam Ge

IEEE Trans. Circuits Syst. I Regul. Pap., 2005

Analysis of Cyclic Dynamics for Networks of Linear Threshold Neurons.

Huajin Tang, Kay Chen Tan, Weinian Zhang

Neural Comput., 2005

2004

A columnar competitive model for solving combinatorial optimization problems.

Huajin Tang, Kay Chen Tan, Zhang Yi

IEEE Trans. Neural Networks, 2004

New dynamical optimal learning for linear multilayer FNN.

Kay Chen Tan, Huajin Tang

IEEE Trans. Neural Networks, 2004

Global exponential stability of discrete-time neural networks for constrained quadratic optimization.

Kay Chen Tan, Huajin Tang, Z. Yi

Neurocomputing, 2004

Dynamical optimal learning for FNN and its applications.

Huajin Tang, Kay Chen Tan, Tong Heng Lee

Proceedings of the IEEE International Conference on Fuzzy Systems, 2004