Huajin Tang

ORCID

Publication Activity (10 Years)

Years Active: 2004-2024
Publications (10 Years): 140

Top Venues

CoRR

IEEE Trans. Neural Networks Learn. Syst.

IEEE Comput. Intell. Mag.

IEEE Trans. Cogn. Dev. Syst.

Publications

Chaofei Hong, Mengwen Yuan, Mengxiao Zhang, Xiao Wang, Chengjun Zhang, Jiaxin Wang, Gang Pan, Huajin Tang
SPAIC: A Spike-Based Artificial Intelligence Computing Framework. IEEE Comput. Intell. Mag. 19 (1) (2024)
Jiangrong Shen, Wenyao Ni, Qi Xu, Gang Pan, Huajin Tang
Context Gating in Spiking Neural Networks: Achieving Lifelong Learning through Integration of Local and Global Plasticity. CoRR (2024)
Yongduan Song, Dongrui Wu, Carlos A. Coello Coello, Georgios N. Yannakakis, Huajin Tang, Yiu-ming Cheung
CIS Publication Spotlight [Publication Spotlight]. IEEE Comput. Intell. Mag. 19 (1) (2024)
Mengwen Yuan, Chengjun Zhang, Ziming Wang, Huixiang Liu, Gang Pan, Huajin Tang
Trainable Spiking-YOLO for low-latency and high-performance object detection. Neural Networks 172 (2024)
Qiugang Zhan, Jinbo Cao, Xiurui Xie, Malu Zhang, Huajin Tang, Guisong Liu
SFedCA: Credit Assignment-Based Active Client Selection Strategy for Spiking Federated Learning. CoRR (2024)
MHD Anas Alsakkal, Runze Wang, Jayawan H. B. Wijekoon, Huajin Tang
Application based Evaluation of an Efficient Spike-Encoder, "Spiketrum". CoRR (2024)
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)
Jiangrong Shen, Wenyao Ni, Qi Xu, Huajin Tang
Efficient Spiking Neural Networks with Sparse Selective Activation for Continual Learning. AAAI (2024)
Huajin Tang
Editorial IEEE Transactions on Cognitive and Developmental Systems. IEEE Trans. Cogn. Dev. Syst. 16 (1) (2024)
Shuang Lian, Jiangrong Shen, Ziming Wang, Huajin Tang
IM-LIF: Improved Neuronal Dynamics With Attention Mechanism for Direct Training Deep Spiking Neural Network. IEEE Trans. Emerg. Top. Comput. Intell. 8 (2) (2024)
Qi Xu, Yuyuan Gao, Jiangrong Shen, Yaxin Li, Xuming Ran, Huajin Tang, Gang Pan
Enhancing Adaptive History Reserving by Spiking Convolutional Block Attention Module in Recurrent Neural Networks. CoRR (2024)
Hongze Sun, Rui Liu, Wuque Cai, Jun Wang, Yue Wang, Huajin Tang, Yan Cui, Dezhong Yao, Daqing Guo
Reliable object tracking by multimodal hybrid feature extraction and transformer-based fusion. Neural Networks 178 (2024)
Qiugang Zhan, Guisong Liu, Xiurui Xie, Ran Tao, Malu Zhang, Huajin Tang
Spiking Transfer Learning From RGB Image to Neuromorphic Event Stream. IEEE Trans. Image Process. 33 (2024)
Qi Xu, Yaxin Li, Jiangrong Shen, Pingping Zhang, Jian K. Liu, Huajin Tang, Gang Pan
Hierarchical Spiking-Based Model for Efficient Image Classification With Enhanced Feature Extraction and Encoding. IEEE Trans. Neural Networks Learn. Syst. 35 (7) (2024)
Houzhan Zhang, Rong Xiao, Jiaxin Li, Chuangye Yan, Huajin Tang
A High-Precision LiDAR-Inertial Odometry via Invariant Extended Kalman Filtering and Efficient Surfel Mapping. IEEE Trans. Instrum. Meas. 73 (2024)
Ziming Wang, Ziling Wang, Huaning Li, Lang Qin, Runhao Jiang, De Ma, Huajin Tang
EAS-SNN: End-to-End Adaptive Sampling and Representation for Event-based Detection with Recurrent Spiking Neural Networks. CoRR (2024)
Lang Qin, Ziming Wang, Runhao Jiang, Rui Yan, Huajin Tang
GRSN: Gated Recurrent Spiking Neurons for POMDPs and MARL. CoRR (2024)
Zexiang Yi, Jing Lian, Yunliang Qi, Zhaofei Yu, Huajin Tang, Yide Ma, Jizhao Liu
Deep Pulse-Coupled Neural Networks. CoRR (2024)
Hongze Sun, Rui Liu, Wuque Cai, Jun Wang, Yue Wang, Huajin Tang, Yan Cui, Dezhong Yao, Daqing Guo
Reliable Object Tracking by Multimodal Hybrid Feature Extraction and Transformer-Based Fusion. CoRR (2024)
Runhao Jiang, Jianing Han, Yingying Xue, Ping Wang, Huajin Tang
CMCI: A Robust Multimodal Fusion Method for Spiking Neural Networks. ICONIP (3) (2023)
Yangfan Hu, Huajin Tang, Gang Pan
Spiking Deep Residual Networks. IEEE Trans. Neural Networks Learn. Syst. 34 (8) (2023)
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)
Jiangrong Shen, Qi Xu, Jian K. Liu, Yueming Wang, Gang Pan, Huajin Tang
ESL-SNNs: An Evolutionary Structure Learning Strategy for Spiking Neural Networks. AAAI (2023)
Qi Xu, Yaxin Li, Jiangrong Shen, Jian K. Liu, Huajin Tang, Gang Pan
Constructing Deep Spiking Neural Networks from Artificial Neural Networks with Knowledge Distillation. CVPR (2023)
Bo Yang, Mengwen Yuan, Chengjun Zhang, Chaofei Hong, Gang Pan, Huajin Tang
Spiking Reinforcement Learning with Memory Ability for Mapless Navigation. IROS (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)
Xinyi Chen, Jibin Wu, Huajin Tang, Qinyuan Ren, Kay Chen Tan
Unleashing the Potential of Spiking Neural Networks for Sequential Modeling with Contextual Embedding. CoRR (2023)
Limiao Ning, Junfei Dong, Rong Xiao, Kay Chen Tan, Huajin Tang
Event-driven spiking neural networks with spike-based learning. Memetic Comput. 15 (2) (2023)
Rong Xiao, Yu Wan, Baosong Yang, Haibo Zhang, Huajin Tang, Derek F. Wong, Boxing Chen
Towards Energy-Preserving Natural Language Understanding With Spiking Neural Networks. IEEE ACM Trans. Audio Speech Lang. Process. 31 (2023)
Gehua Ma, Rui Yan, Huajin Tang
Exploiting Noise as a Resource for Computation and Learning in Spiking Neural Networks. CoRR (2023)
Jiangrong Shen, Qi Xu, Jian K. Liu, Yueming Wang, Gang Pan, Huajin Tang
ESL-SNNs: An Evolutionary Structure Learning Strategy for Spiking Neural Networks. CoRR (2023)
Huajin Tang
Editorial IEEE Transactions on Cognitive and Developmental Systems. IEEE Trans. Cogn. Dev. Syst. 15 (1) (2023)
Jinye Qu, Zeyu Gao, Tielin Zhang, Yanfeng Lu, Huajin Tang, Hong Qiao
Spiking Neural Network for Ultra-low-latency and High-accurate Object Detection. 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)
Xundong Wu, Pengfei Zhao, Zilin Yu, Lei Ma, Ka-Wa Yip, Huajin Tang, Gang Pan, Tiejun Huang
Mitigating Communication Costs in Neural Networks: The Role of Dendritic Nonlinearity. CoRR (2023)
Yongduan Song, Dongrui Wu, Carlos A. Coello Coello, Georgios N. Yannakakis, Huajin Tang, Yiu-Ming Cheung, Hussein A. Abbass
CIS Publication Spotlight [Publication Spotlight]. IEEE Comput. Intell. Mag. 18 (4) (2023)
Qi Xu, Yaxin Li, Jiangrong Shen, Jian K. Liu, Huajin Tang, Gang Pan
Constructing Deep Spiking Neural Networks from Artificial Neural Networks with Knowledge Distillation. CoRR (2023)
Gehua Ma, Runhao Jiang, Lang Wang, Huajin Tang
Dual memory model for experience-once task-incremental lifelong learning. Neural Networks 166 (2023)
Yongduan Song, Dongrui Wu, Carlos A. Coello Coello, Georgios N. Yannakakis, Huajin Tang, Yiu-Ming Cheung, Hussein A. Abbass
CIS Publication Spotlight [Publication Spotlight]. IEEE Comput. Intell. Mag. 18 (2) (2023)
Junwei Dong, Boyu Hou, Liang Feng, Huajin Tang, Kay Chen Tan, Yew-Soon Ong
A Cell-Based Fast Memetic Algorithm for Automated Convolutional Neural Architecture Design. IEEE Trans. Neural Networks Learn. Syst. 34 (11) (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)
Guisong Liu, Wenjie Deng, Xiurui Xie, Li Huang, Huajin Tang
Human-Level Control Through Directly Trained Deep Spiking Q-Networks. IEEE Trans. Cybern. 53 (11) (2023)
Wei Gao, Jiangrong Shen, Yipeng Lin, Kejun Wang, Zheng Lin, Huajin Tang, Xiaodong Chen
Sequential sparse autoencoder for dynamic heading representation in ventral intraparietal area. Comput. Biol. Medicine 163 (2023)
Xiaocui Lin, Jiangrong Shen, Jun Wen, Huajin Tang
Bipolar Population Threshold Encoding for Audio Recognition with Deep Spiking Neural Networks. IJCNN (2023)
Qi Xu, Yuyuan Gao, Jiangrong Shen, Yaxin Li, Xuming Ran, Huajin Tang, Gang Pan
Enhancing Adaptive History Reserving by Spiking Convolutional Block Attention Module in Recurrent Neural Networks. NeurIPS (2023)
Jianing Han, Ziming Wang, Jiangrong Shen, Huajin Tang
Symmetric-threshold ReLU for Fast and Nearly Lossless ANN-SNN Conversion. Int. J. Autom. Comput. 20 (3) (2023)
Gehua Ma, Rui Yan, Huajin Tang
Exploiting noise as a resource for computation and learning in spiking neural networks. Patterns 4 (10) (2023)
Yongduan Song, Dongrui Wu, Carlos A. Coello Coello, Georgios N. Yannakakis, Huajin Tang, Yiu-ming Cheung, Hussein A. Abbass
CIS Publication Spotlight [Publication Spotlight]. IEEE Comput. Intell. Mag. 18 (1) (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)
De Ma, Xiaofei Jin, Shichun Sun, Yitao Li, Xundong Wu, Youneng Hu, Fangchao Yang, Huajin Tang, Xiaolei Zhu, Peng Lin, Gang Pan
Darwin3: A large-scale neuromorphic chip with a Novel ISA and On-Chip Learning. CoRR (2023)
Qi Xu, Yaxin Li, Xuanye Fang, Jiangrong Shen, Jian K. Liu, Huajin Tang, Gang Pan
Biologically inspired structure learning with reverse knowledge distillation for spiking neural networks. CoRR (2023)
Yongduan Song, Dongrui Wu, Carlos A. Coello Coello, Georgios N. Yannakakis, Huajin Tang, Yiu-Ming Cheung, Hussein A. Abbass
CIS Publication Spotlight [Publication Spotlight]. IEEE Comput. Intell. Mag. 18 (3) (2023)
Yongduan Song, Jon Garibaldi, Carlos A. Coello Coello, Georgios N. Yannakakis, Huajin Tang, Yew Soon Ong, Hussein A. Abbass
CIS Publication Spotlight [Publication Spotlight]. IEEE Comput. Intell. Mag. 17 (3) (2022)
Junfei Dong, Runhao Jiang, Rong Xiao, Rui Yan, Huajin Tang
Event stream learning using spatio-temporal event surface. Neural Networks 154 (2022)
Chaofei Hong, Mengwen Yuan, Mengxiao Zhang, Xiao Wang, Chegnjun Zhang, Jiaxin Wang, Gang Pan, Zhaohui Wu, Huajin Tang
SPAIC: A Spike-based Artificial Intelligence Computing Framework. CoRR (2022)
Qiugang Zhan, Guisong Liu, Xiurui Xie, Guolin Sun, Huajin Tang
Effective Transfer Learning Algorithm in Spiking Neural Networks. IEEE Trans. Cybern. 52 (12) (2022)
Qi Xu, Jiangrong Shen, Xuming Ran, Huajin Tang, Gang Pan, Jian K. Liu
Robust Transcoding Sensory Information With Neural Spikes. IEEE Trans. Neural Networks Learn. Syst. 33 (5) (2022)
Jiaxin Li, Dengju Li, Runhao Jiang, Rong Xiao, Huajin Tang, Kay Chen Tan
Vision-Action Semantic Associative Learning Based on Spiking Neural Networks for Cognitive Robot. IEEE Comput. Intell. Mag. 17 (4) (2022)
Yongduan Song, Jon Garibaldi, Carlos A. Coello Coello, Georgios N. Yannakakis, Huajin Tang, Yew Soon Ong, Hussein A. Abbass
CIS Publication Spotlight [Publication Spotlight]. IEEE Comput. Intell. Mag. 17 (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)
Xiaolei Zhu, Baixin Zhao, De Ma, Huajin Tang
An Efficient Learning Algorithm for Direct Training Deep Spiking Neural Networks. IEEE Trans. Cogn. Dev. Syst. 14 (3) (2022)
Lang Feng, Qianhui Liu, Huajin Tang, De Ma, Gang Pan
Multi-Level Firing with Spiking DS-ResNet: Enabling Better and Deeper Directly-Trained Spiking Neural Networks. IJCAI (2022)
Guisong Liu, Wenjie Deng, Xiurui Xie, Li Huang, Huajin Tang
Human-Level Control through Directly-Trained Deep Spiking Q-Networks. CoRR (2022)
Shuang Lian, Qianhui Liu, Rui Yan, Gang Pan, Huajin Tang
Training Deep Convolutional Spiking Neural Networks With Spike Probabilistic Global Pooling. Neural Comput. 34 (5) (2022)
Qiang Yu, Shenglan Li, Huajin Tang, Longbiao Wang, Jianwu Dang, Kay Chen Tan
Toward Efficient Processing and Learning With Spikes: New Approaches for Multispike Learning. IEEE Trans. Cybern. 52 (3) (2022)
Ziming Wang, Shuang Lian, Yuhao Zhang, Xiaoxin Cui, Rui Yan, Huajin Tang
Towards Lossless ANN-SNN Conversion under Ultra-Low Latency with Dual-Phase Optimization. CoRR (2022)
Qianhui Liu, Dong Xing, Lang Feng, Huajin Tang, Gang Pan
Event-Based Multimodal Spiking Neural Network with Attention Mechanism. ICASSP (2022)
Huajin Tang
Editorial IEEE Transactions on Cognitive and Developmental Systems. IEEE Trans. Cogn. Dev. Syst. 14 (1) (2022)
Lang Feng, Qianhui Liu, Huajin Tang, De Ma, Gang Pan
Multi-Level Firing with Spiking DS-ResNet: Enabling Better and Deeper Directly-Trained Spiking Neural Networks. CoRR (2022)
Yongduan Song, Jon Garibaldi, Carlos A. Coello Coello, Georgios N. Yannakakis, Huajin Tang, Yew Soon Ong, Hussein A. Abbass
CIS Publication Spotlight [Publication Spotlight]. IEEE Comput. Intell. Mag. 17 (1) (2022)
Peigen Liu, Guang Chen, Zhijun Li, Huajin Tang, Alois C. Knoll
Learning Local Event-based Descriptor for Patch-based Stereo Matching. ICRA (2022)
Lang Qin, Rui Yan, Huajin Tang
A Low Latency Adaptive Coding Spiking Framework for Deep Reinforcement Learning. CoRR (2022)
Jeffrey L. Krichmar, James Leland Olds, Juan Vicente Sánchez-Andrés, Huajin Tang
Editorial: Explainable Artificial Intelligence and Neuroscience: Cross-Disciplinary Perspectives. Frontiers Neurorobotics 15 (2021)
Qiang Yu, Yanli Yao, Longbiao Wang, Huajin Tang, Jianwu Dang, Kay Chen Tan
Robust Environmental Sound Recognition With Sparse Key-Point Encoding and Efficient Multispike Learning. IEEE Trans. Neural Networks Learn. Syst. 32 (2) (2021)
Lei Deng, Huajin Tang, Kaushik Roy
Editorial: Understanding and Bridging the Gap Between Neuromorphic Computing and Machine Learning. Frontiers Comput. Neurosci. 15 (2021)
Guang Chen, Zhongcong Xu, Zhijun Li, Huajin Tang, Sanqing Qu, Kejia Ren, Alois C. Knoll
A Novel Illumination-Robust Hand Gesture Recognition System With Event-Based Neuromorphic Vision Sensor. IEEE Trans Autom. Sci. Eng. 18 (2) (2021)
Zehao Chen, Qian Zheng, Peisong Niu, Huajin Tang, Gang Pan
Indoor Lighting Estimation Using an Event Camera. CVPR (2021)
Guang Chen, Peigen Liu, Zhengfa Liu, Huajin Tang, Lin Hong, Jinhu Dong, Jörg Conradt, Alois C. Knoll
NeuroAED: Towards Efficient Abnormal Event Detection in Visual Surveillance With Neuromorphic Vision Sensor. IEEE Trans. Inf. Forensics Secur. 16 (2021)
Suogui Dang, Yining Wu, Rui Yan, Huajin Tang
Why grid cells function as a metric for space. Neural Networks 142 (2021)
Qianhui Liu, Dong Xing, Huajin Tang, De Ma, Gang Pan
Event-based Action Recognition Using Motion Information and Spiking Neural Networks. IJCAI (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)
Qiang Yu, Shenglan Li, Huajin Tang, Longbiao Wang, Jianwu Dang, Kay Chen Tan
Towards Efficient Processing and Learning with Spikes: New Approaches for Multi-Spike Learning. CoRR (2020)
Tang Tang, Runhao Jiang, Rui Yan, Huajin Tang
An Event-Driven Object Recognition Model Using Activated Connected Domain Detection. SSCI (2020)
Qi Xu, Jianxin Peng, Jiangrong Shen, Huajin Tang, Gang Pan
Deep CovDenseSNN: A hierarchical event-driven dynamic framework with spiking neurons in noisy environment. Neural Networks 121 (2020)
Qianhui Liu, Haibo Ruan, Dong Xing, Huajin Tang, Gang Pan
Effective AER Object Classification Using Segmented Probability-Maximization Learning in Spiking Neural Networks. CoRR (2020)
Qianhui Liu, Gang Pan, Haibo Ruan, Dong Xing, Qi Xu, Huajin Tang
Unsupervised AER Object Recognition Based on Multiscale Spatio-Temporal Features and Spiking Neurons. IEEE Trans. Neural Networks Learn. Syst. 31 (12) (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)
Guang Chen, Hu Cao, Jörg Conradt, Huajin Tang, Florian Röhrbein, Alois C. Knoll
Event-Based Neuromorphic Vision for Autonomous Driving: A Paradigm Shift for Bio-Inspired Visual Sensing and Perception. IEEE Signal Process. Mag. 37 (4) (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)
Qianhui Liu, Haibo Ruan, Dong Xing, Huajin Tang, Gang Pan
Effective AER Object Classification Using Segmented Probability-Maximization Learning in Spiking Neural Networks. AAAI (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)

Huajin Tang.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

Huajin Tang