Huajin Tang

According to our database1, Huajin Tang authored at least 119 papers between 2004 and 2021.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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On csauthors.net:

Bibliography

2021
Robust Environmental Sound Recognition With Sparse Key-Point Encoding and Efficient Multispike Learning.
IEEE Trans. Neural Networks Learn. Syst., 2021

NeuroAED: Towards Efficient Abnormal Event Detection in Visual Surveillance With Neuromorphic Vision Sensor.
IEEE Trans. Inf. Forensics Secur., 2021

A Novel Illumination-Robust Hand Gesture Recognition System With Event-Based Neuromorphic Vision Sensor.
IEEE Trans Autom. Sci. Eng., 2021

Editorial: Understanding and Bridging the Gap Between Neuromorphic Computing and Machine Learning.
Frontiers Comput. Neurosci., 2021

2020
An Event-Driven Categorization Model for AER Image Sensors Using Multispike Encoding and Learning.
IEEE Trans. Neural Networks Learn. Syst., 2020

Unsupervised AER Object Recognition Based on Multiscale Spatio-Temporal Features and Spiking Neurons.
IEEE Trans. Neural Networks Learn. Syst., 2020

Event-Based Neuromorphic Vision for Autonomous Driving: A Paradigm Shift for Bio-Inspired Visual Sensing and Perception.
IEEE Signal Process. Mag., 2020

Deep CovDenseSNN: A hierarchical event-driven dynamic framework with spiking neurons in noisy environment.
Neural Networks, 2020

An FPGA Implementation of Deep Spiking Neural Networks for Low-Power and Fast Classification.
Neural Comput., 2020

Multi-Scale Extension in an Entorhinal-Hippocampal Model for Cognitive Map Building.
Frontiers Neurorobotics, 2020

Towards Efficient Processing and Learning with Spikes: New Approaches for Multi-Spike Learning.
CoRR, 2020

An Event-Driven Object Recognition Model Using Activated Connected Domain Detection.
Proceedings of the 2020 IEEE Symposium Series on Computational Intelligence, 2020

Deep Spiking Neural Network Using Spatio-temporal Backpropagation with Variable Resistance.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

A Novel Mathematic Entorhinal-Hippocampal System Building Cognitive Map.
Proceedings of the Neural Information Processing - 27th International Conference, 2020

An Event-based Categorization Model Using Spatio-temporal Features in a Spiking Neural Network.
Proceedings of the 12th International Conference on Advanced Computational Intelligence, 2020

Spike Trains Encoding Optimization for Spiking Neural Networks Implementation in FPGA.
Proceedings of the 12th International Conference on Advanced Computational Intelligence, 2020

Effective AER Object Classification Using Segmented Probability-Maximization Learning in Spiking Neural Networks.
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.
IEEE Trans. Ind. Informatics, 2019

Automatic Object Searching and Behavior Learning for Mobile Robots in Unstructured Environment by Deep Belief Networks.
IEEE Trans. Cogn. Dev. Syst., 2019

A structure-time parallel implementation of spike-based deep learning.
Neural Networks, 2019

Reinforcement Learning in Spiking Neural Networks with Stochastic and Deterministic Synapses.
Neural Comput., 2019

Robust Environmental Sound Recognition with Sparse Key-point Encoding and Efficient Multi-spike Learning.
CoRR, 2019

SeqDLF: Deep Local Feature-Based Image Sequence Representation for Visual Loop Closure Detection.
Aust. J. Intell. Inf. Process. Syst., 2019

Image Neural Style Transfer With Preserving the Salient Regions.
IEEE Access, 2019

Robust Multipitch Estimation of Piano Sounds Using Deep Spiking Neural Networks.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2019

An Unsupervised Spiking Deep Neural Network for Object Recognition.
Proceedings of the Advances in Neural Networks - ISNN 2019, 2019

A temporal encoding method based on expansion representation.
Proceedings of the International Joint Conference on Neural Networks, 2019

Fast and Accurate Classification with a Multi-Spike Learning Algorithm for Spiking Neurons.
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.
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.
Proceedings of the Neural Information Processing - 26th International Conference, 2019

A Multi-spike Approach for Robust Sound Recognition.
Proceedings of the IEEE International Conference on Acoustics, 2019

2018
Sparse Temporal Encoding of Visual Features for Robust Object Recognition by Spiking Neurons.
IEEE Trans. Neural Networks Learn. Syst., 2018

Connections Between Nuclear-Norm and Frobenius-Norm-Based Representations.
IEEE Trans. Neural Networks Learn. Syst., 2018

Corrections to "Cognitive Navigation by Neuro-Inspired Localization, Mapping, and Episodic Memory".
IEEE Trans. Cogn. Dev. Syst., 2018

Cognitive Navigation by Neuro-Inspired Localization, Mapping, and Episodic Memory.
IEEE Trans. Cogn. Dev. Syst., 2018

Guest Editorial Special Issue on Neuromorphic Computing and Cognitive Systems.
IEEE Trans. Cogn. Dev. Syst., 2018

Spike-based encoding and learning of spectrum features for robust sound recognition.
Neurocomputing, 2018

Spiking Deep Residual Network.
CoRR, 2018

A Supervised Multi-Spike Learning Algorithm for Spiking Neural Networks.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

CSNN: An Augmented Spiking based Framework with Perceptron-Inception.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Jointly Learning Network Connections and Link Weights in Spiking Neural Networks.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

A Gesture Recognition Method Based on Spiking Neural Networks for Cognition Development.
Proceedings of the Neural Information Processing - 25th International Conference, 2018

2017
Neuromorphic Cognitive Systems - A Learning and Memory Centered Approach
Intelligent Systems Reference Library 126, Springer, ISBN: 978-3-319-55310-8, 2017

Guest Editorial Learning in Neuromorphic Systems and Cyborg Intelligence.
IEEE Trans. Neural Networks Learn. Syst., 2017

Bag of Events: An Efficient Probability-Based Feature Extraction Method for AER Image Sensors.
IEEE Trans. Neural Networks Learn. Syst., 2017

Constructing the L2-Graph for Robust Subspace Learning and Subspace Clustering.
IEEE Trans. Cybern., 2017

Cognitive memory and mapping in a brain-like system for robotic navigation.
Neural Networks, 2017

A brain-inspired SLAM system based on ORB features.
Int. J. Autom. Comput., 2017

Spike trains encoding and threshold rescaling method for deep spiking neural networks.
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.
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.
Proceedings of the Neural Information Processing - 24th International Conference, 2017

2016
A Spiking Neural Network System for Robust Sequence Recognition.
IEEE Trans. Neural Networks Learn. Syst., 2016

A Unified Framework for Representation-Based Subspace Clustering of Out-of-Sample and Large-Scale Data.
IEEE Trans. Neural Networks Learn. Syst., 2016

Editorial.
Memetic Comput., 2016

How the Brain Formulates Memory: A Spatio-Temporal Model Research Frontier.
IEEE Comput. Intell. Mag., 2016

A Spiking Neural Network Model for Sound Recognition.
Proceedings of the Cognitive Systems and Signal Processing, 2016

Robot-to-human handover with obstacle avoidance via continuous time Recurrent Neural Network.
Proceedings of the IEEE Congress on Evolutionary Computation, 2016

Hebbian learning analysis of a grid cell based cognitive mapping system.
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.
IEEE Trans. Neural Networks Learn. Syst., 2015

Adaptive Memetic Computing for Evolutionary Multiobjective Optimization.
IEEE Trans. Cybern., 2015

A Simplified Cerebellar Model with Priority-based Delayed Eligibility Trace Learning for Motor Control.
IEEE Trans. Auton. Ment. Dev., 2015

Fast low rank representation based spatial pyramid matching for image classification.
Knowl. Based Syst., 2015

Connections Between Nuclear Norm and Frobenius Norm Based Representation.
CoRR, 2015

Grasping control for a neuro-cognitive robot.
Proceedings of the 7th International Conference on Cybernetics and Intelligent Systems, 2015

Applying low rank representation based spatial pyramid matching in welding image classification.
Proceedings of the 7th International Conference on Cybernetics and Intelligent Systems, 2015

An Entorhinal-Hippocampal Model for Simultaneous Cognitive Map Building.
Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

Robust Subspace Clustering via Thresholding Ridge Regression.
Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

2014
Real-Time Keypoint Recognition Using Restricted Boltzmann Machine.
IEEE Trans. Neural Networks Learn. Syst., 2014

A brain-inspired spiking neural network model with temporal encoding and learning.
Neurocomputing, 2014

Guest editorial: Special issue on brain inspired models of cognitive memory.
Neurocomputing, 2014

Vision enhanced neuro-cognitive structure for robotic spatial cognition.
Neurocomputing, 2014

Principal Coefficients Embedding: Theory and Algorithm.
CoRR, 2014

Flexible and robust robotic arm design and skill learning by using recurrent neural networks.
Proceedings of the 2014 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2014

Direction-driven navigation using cognitive map for mobile robots.
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.
Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

A new learning rule for classification of spatiotemporal spike patterns.
Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

Event-driven simulation of the tempotron spiking neuron.
Proceedings of the IEEE Biomedical Circuits and Systems Conference, 2014

2013
Rapid Feedforward Computation by Temporal Encoding and Learning With Spiking Neurons.
IEEE Trans. Neural Networks Learn. Syst., 2013

Dynamics Analysis of a Population Decoding Model.
IEEE Trans. Neural Networks Learn. Syst., 2013

A Spike-Timing-Based Integrated Model for Pattern Recognition.
Neural Comput., 2013

Continuous attractors of discrete-time recurrent neural networks.
Neural Comput. Appl., 2013

Dynamical properties of continuous attractor neural network with background tuning.
Neurocomputing, 2013

RGB-D based cognitive map building and navigation.
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.
Proceedings of the 2013 International Joint Conference on Neural Networks, 2013

A hierarchical organized memory model using spiking neurons.
Proceedings of the 2013 International Joint Conference on Neural Networks, 2013

A Simplified Cerebellum-Based Model for Motor Control in Brain Based Devices.
Proceedings of the Neural Information Processing - 20th International Conference, 2013

A neuro-cognitive system and its application in robotics.
Proceedings of the 10th IEEE International Conference on Control and Automation, 2013

Temporal coding of local spectrogram features for robust sound recognition.
Proceedings of the IEEE International Conference on Acoustics, 2013

Spiking-timing based pattern recognition with real-world visual stimuli.
Proceedings of the 2013 IEEE Symposium on Computational Intelligence, 2013

A bio-inspired feedforward system for categorization of AER motion events.
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.
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.
J. Comput. Neurosci., 2012

Gesture Recognition Based on Localist Attractor Networks with Application to Robot Control [Application Notes].
IEEE Comput. Intell. Mag., 2012

Pattern recognition computation in a spiking neural network with temporal encoding and learning.
Proceedings of the 2012 International Joint Conference on Neural Networks (IJCNN), 2012

Learning real-world stimuli by single-spike coding and tempotron rule.
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].
IEEE Comput. Intell. Mag., 2011

Brain Inspired Cognitive System for Learning and Memory.
Proceedings of the Neural Information Processing - 18th International Conference, 2011

Associative Memory Model of Hippocampus CA3 Using Spike Response Neurons.
Proceedings of the Neural Information Processing - 18th International Conference, 2011

A Neuro-cognitive Robot for Spatial Navigation.
Proceedings of the Neural Information Processing - 18th International Conference, 2011

2010
A discrete-time neural network for optimization problems with hybrid constraints.
IEEE Trans. Neural Networks, 2010

Memory Dynamics in Attractor Networks with Saliency Weights.
Neural Comput., 2010

A gesture recognition system using Localist Attractor Networks for human-robot interaction.
Proceedings of the 2010 IEEE International Conference on Robotics and Biomimetics, 2010

Restricted Boltzmann machine based algorithm for multi-objective optimization.
Proceedings of the IEEE Congress on Evolutionary Computation, 2010

2009
Nontrivial Global Attractors in 2-D Multistable Attractor Neural Networks.
IEEE Trans. Neural Networks, 2009

Analysis of Continuous Attractors for 2-D Linear Threshold Neural Networks.
IEEE Trans. Neural Networks, 2009

Natural scene statistics and the structure of orientation maps in the visual cortex.
NeuroImage, 2009

Nonlinear control approaches for SI engine model with uncertainties.
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.
Neurocomputing, 2008

2006
Dynamics analysis and analog associative memory of networks with LT neurons.
IEEE Trans. Neural Networks, 2006

Improving local minima of columnar competitive model for TSPs.
IEEE Trans. Circuits Syst. I Regul. Pap., 2006

An Improvement on Competitive Neural Networks Applied to Image Segmentation.
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.
Proceedings of the International Joint Conference on Neural Networks, 2006

2005
Qualitative analysis for recurrent neural networks with linear threshold transfer functions.
IEEE Trans. Circuits Syst. I Regul. Pap., 2005

On parameter settings of Hopfield networks applied to traveling salesman problems.
IEEE Trans. Circuits Syst. I Regul. Pap., 2005

Analysis of Cyclic Dynamics for Networks of Linear Threshold Neurons.
Neural Comput., 2005

2004
A columnar competitive model for solving combinatorial optimization problems.
IEEE Trans. Neural Networks, 2004

New dynamical optimal learning for linear multilayer FNN.
IEEE Trans. Neural Networks, 2004

Global exponential stability of discrete-time neural networks for constrained quadratic optimization.
Neurocomputing, 2004

Dynamical optimal learning for FNN and its applications.
Proceedings of the IEEE International Conference on Fuzzy Systems, 2004


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