Huajin Tang
Orcid: 0000-0002-9857-1543
According to our database1,
Huajin Tang
authored at least 206 papers
between 2004 and 2025.
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On csauthors.net:
Bibliography
2025
IEEE Trans. Emerg. Top. Comput. Intell., February, 2025
IEEE Comput. Intell. Mag., February, 2025
Neural Networks, 2025
2024
IEEE Trans. Neural Networks Learn. Syst., December, 2024
IEEE Trans. Neural Networks Learn. Syst., September, 2024
Attention-Based Deep Spiking Neural Networks for Temporal Credit Assignment Problems.
IEEE Trans. Neural Networks Learn. Syst., August, 2024
Hierarchical Spiking-Based Model for Efficient Image Classification With Enhanced Feature Extraction and Encoding.
IEEE Trans. Neural Networks Learn. Syst., July, 2024
Proc. IEEE, June, 2024
IM-LIF: Improved Neuronal Dynamics With Attention Mechanism for Direct Training Deep Spiking Neural Network.
IEEE Trans. Emerg. Top. Comput. Intell., April, 2024
IEEE Trans. Cogn. Dev. Syst., February, 2024
IEEE Comput. Intell. Mag., February, 2024
IEEE Comput. Intell. Mag., February, 2024
IEEE Trans. Image Process., 2024
A High-Precision LiDAR-Inertial Odometry via Invariant Extended Kalman Filtering and Efficient Surfel Mapping.
IEEE Trans. Instrum. Meas., 2024
Enhancing SNN-based spatio-temporal learning: A benchmark dataset and Cross-Modality Attention model.
Neural Networks, 2024
Neural Networks, 2024
Reliable object tracking by multimodal hybrid feature extraction and transformer-based fusion.
Neural Networks, 2024
Editorial: Understanding and bridging the gap between neuromorphic computing and machine learning, volume II.
Frontiers Comput. Neurosci., 2024
CoRR, 2024
ALADE-SNN: Adaptive Logit Alignment in Dynamically Expandable Spiking Neural Networks for Class Incremental Learning.
CoRR, 2024
Spiking GS: Towards High-Accuracy and Low-Cost Surface Reconstruction via Spiking Neuron-based Gaussian Splatting.
CoRR, 2024
Toward Large-scale Spiking Neural Networks: A Comprehensive Survey and Future Directions.
CoRR, 2024
SFedCA: Credit Assignment-Based Active Client Selection Strategy for Spiking Federated Learning.
CoRR, 2024
Context Gating in Spiking Neural Networks: Achieving Lifelong Learning through Integration of Local and Global Plasticity.
CoRR, 2024
CLFR-M: Continual Learning Framework for Robots via Human Feedback and Dynamic Memory.
Proceedings of the IEEE International Conference on Cybernetics and Intelligent Systems, 2024
FEEL-SNN: Robust Spiking Neural Networks with Frequency Encoding and Evolutionary Leak Factor.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024
Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024
CASRL: Collision Avoidance with Spiking Reinforcement Learning Among Dynamic, Decision-Making Agents.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2024
Proceedings of the International Joint Conference on Neural Networks, 2024
Proceedings of the International Joint Conference on Neural Networks, 2024
An Event-based Feature Representation Method for Event Stream Classification using Deep Spiking Neural Networks.
Proceedings of the International Joint Conference on Neural Networks, 2024
The Balanced Multi-Modal Spiking Neural Networks with Online Loss Adjustment and Time Alignment.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2024
Proceedings of the 46th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2024
EAS-SNN: End-to-End Adaptive Sampling and Representation for Event-Based Detection with Recurrent Spiking Neural Networks.
Proceedings of the Computer Vision - ECCV 2024, 2024
Efficient Spiking Neural Networks with Sparse Selective Activation for Continual Learning.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
Successive POI Recommendation via Brain-Inspired Spatiotemporal Aware Representation.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
2023
A Cell-Based Fast Memetic Algorithm for Automated Convolutional Neural Architecture Design.
IEEE Trans. Neural Networks Learn. Syst., November, 2023
IEEE Trans. Cybern., November, 2023
Neural Comput. Appl., November, 2023
Exploiting noise as a resource for computation and learning in spiking neural networks.
Patterns, October, 2023
Neural Networks, September, 2023
Sequential sparse autoencoder for dynamic heading representation in ventral intraparietal area.
Comput. Biol. Medicine, September, 2023
IEEE Trans. Neural Networks Learn. Syst., August, 2023
Memetic Comput., June, 2023
IEEE Comput. Intell. Mag., May, 2023
Towards Energy-Preserving Natural Language Understanding With Spiking Neural Networks.
IEEE ACM Trans. Audio Speech Lang. Process., 2023
Int. J. Autom. Comput., 2023
CoRR, 2023
Unleashing the Potential of Spiking Neural Networks for Sequential Modeling with Contextual Embedding.
CoRR, 2023
CoRR, 2023
Mitigating Communication Costs in Neural Networks: The Role of Dendritic Nonlinearity.
CoRR, 2023
Biologically inspired structure learning with reverse knowledge distillation for spiking neural networks.
CoRR, 2023
Enhancing Adaptive History Reserving by Spiking Convolutional Block Attention Module in Recurrent Neural Networks.
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.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
IROS, 2023
Bipolar Population Threshold Encoding for Audio Recognition with Deep Spiking Neural Networks.
Proceedings of the International Joint Conference on Neural Networks, 2023
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023
Proceedings of the Neural Information Processing - 30th International Conference, 2023
Proceedings of the International Conference on Machine Learning, 2023
Constructing Deep Spiking Neural Networks from Artificial Neural Networks with Knowledge Distillation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023
2022
IEEE Trans. Neural Networks Learn. Syst., 2022
IEEE Trans. Cybern., 2022
Toward Efficient Processing and Learning With Spikes: New Approaches for Multispike Learning.
IEEE Trans. Cybern., 2022
IEEE Trans. Cogn. Dev. Syst., 2022
IEEE Trans. Cogn. Dev. Syst., 2022
Training Deep Convolutional Spiking Neural Networks With Spike Probabilistic Global Pooling.
Neural Comput., 2022
CoRR, 2022
Towards Lossless ANN-SNN Conversion under Ultra-Low Latency with Dual-Phase Optimization.
CoRR, 2022
Vision-Action Semantic Associative Learning Based on Spiking Neural Networks for Cognitive Robot.
IEEE Comput. Intell. Mag., 2022
Multi-Level Firing with Spiking DS-ResNet: Enabling Better and Deeper Directly-Trained Spiking Neural Networks.
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022
Proceedings of the 2022 International Conference on Robotics and Automation, 2022
Proceedings of the IEEE International Conference on Acoustics, 2022
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
IEEE Trans. Cogn. Dev. Syst., 2021
Neural Comput., 2021
Editorial: Explainable Artificial Intelligence and Neuroscience: Cross-Disciplinary Perspectives.
Frontiers Neurorobotics, 2021
Editorial: Understanding and Bridging the Gap Between Neuromorphic Computing and Machine Learning.
Frontiers Comput. Neurosci., 2021
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021
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.
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
Frontiers Neurorobotics, 2020
Towards Efficient Processing and Learning with Spikes: New Approaches for Multi-Spike Learning.
CoRR, 2020
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
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
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
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2019
Proceedings of the Advances in Neural Networks - ISNN 2019, 2019
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
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
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
IEEE Trans. Cogn. Dev. Syst., 2018
IEEE Trans. Cogn. Dev. Syst., 2018
Neurocomputing, 2018
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018
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
Intelligent Systems Reference Library 126, Springer, ISBN: 978-3-319-55310-8, 2017
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
IEEE Trans. Cybern., 2017
Neural Networks, 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
Proceedings of the Neural Information Processing - 24th International Conference, 2017
2016
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
IEEE Comput. Intell. Mag., 2016
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
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
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
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
Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015
Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015
2014
IEEE Trans. Neural Networks Learn. Syst., 2014
Neurocomputing, 2014
Neurocomputing, 2014
Neurocomputing, 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
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
Proceedings of the 2014 International Joint Conference on Neural Networks, 2014
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
IEEE Trans. Neural Networks Learn. Syst., 2013
Neural Comput. Appl., 2013
Neurocomputing, 2013
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
Proceedings of the 2013 International Joint Conference on Neural Networks, 2013
Proceedings of the Neural Information Processing - 20th International Conference, 2013
Proceedings of the 10th IEEE International Conference on Control and Automation, 2013
Proceedings of the IEEE International Conference on Acoustics, 2013
Proceedings of the 2013 IEEE Symposium on Computational Intelligence, 2013
Proceedings of the 2013 IEEE Biomedical Circuits and Systems Conference (BioCAS), Rotterdam, The Netherlands, October 31, 2013
2012
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
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
Proceedings of the Neural Information Processing - 18th International Conference, 2011
Proceedings of the Neural Information Processing - 18th International Conference, 2011
Proceedings of the Neural Information Processing - 18th International Conference, 2011
2010
IEEE Trans. Neural Networks, 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
Proceedings of the IEEE Congress on Evolutionary Computation, 2010
2009
IEEE Trans. Neural Networks, 2009
IEEE Trans. Neural Networks, 2009
NeuroImage, 2009
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
IEEE Trans. Neural Networks, 2006
IEEE Trans. Circuits Syst. I Regul. Pap., 2006
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
IEEE Trans. Circuits Syst. I Regul. Pap., 2005
Neural Comput., 2005
2004
IEEE Trans. Neural Networks, 2004
IEEE Trans. Neural Networks, 2004
Global exponential stability of discrete-time neural networks for constrained quadratic optimization.
Neurocomputing, 2004
Proceedings of the IEEE International Conference on Fuzzy Systems, 2004