Qiang Yu

Publication Activity (10 Years)

Years Active: 2003-2023
Publications (10 Years): 31

Top Topics

Image Classification

Biologically Plausible

Top Venues

IEEE Trans. Neural Networks Learn. Syst.

IEEE Trans. Cybern.

Publications

Xiaohan Zhou, Yuzhe Liu, Wei Sun, Qiang Yu
Time-Warp-Invariant Processing with Multi-spike Learning. ICONIP (8) (2023)
Chenxiang Ma, Rui Yan, Zhaofei Yu, Qiang Yu
Deep Spike Learning With Local Classifiers. IEEE Trans. Cybern. 53 (5) (2023)
Qiang Yu, Jialu Gao, Jianguo Wei, Jing Li, Kay Chen Tan, Tie-Jun Huang
Improving Multispike Learning With Plastic Synaptic Delays. IEEE Trans. Neural Networks Learn. Syst. 34 (12) (2023)
Qiang Yu, Chenxiang Ma, Shiming Song, Gaoyan Zhang, Jianwu Dang, Kay Chen Tan
Constructing Accurate and Efficient Deep Spiking Neural Networks With Double-Threshold and Augmented Schemes. IEEE Trans. Neural Networks Learn. Syst. 33 (4) (2022)
Qiang Xu, Tongtong Song, Longbiao Wang, Hao Shi, Yuqin Lin, Yongjie Lv, Meng Ge, Qiang Yu, Jianwu Dang
Self-Distillation Based on High-level Information Supervision for Compressing End-to-End ASR Model. INTERSPEECH (2022)
Qiang Yu, Shiming Song, Chenxiang Ma, Jianguo Wei, Shengyong Chen, Kay Chen Tan
Temporal Encoding and Multispike Learning Framework for Efficient Recognition of Visual Patterns. IEEE Trans. Neural Networks Learn. Syst. 33 (8) (2022)
Qiang Yu, Shiming Song, Chenxiang Ma, Linqiang Pan, Kay Chen Tan
Synaptic Learning With Augmented Spikes. IEEE Trans. Neural Networks Learn. Syst. 33 (3) (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)
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)
Tingfang Wu, Linqiang Pan, Qiang Yu, Kay Chen Tan
Numerical Spiking Neural P Systems. IEEE Trans. Neural Networks Learn. Syst. 32 (6) (2021)
Shiming Song, Chenxiang Ma, Wei Sun, Junhai Xu, Jianwu Dang, Qiang Yu
Efficient learning with augmented spikes: A case study with image classification. Neural Networks 142 (2021)
Chenxiang Ma, Junhai Xu, Qiang Yu
A Deep Spike Learning through Critical Time Points. IJCNN (2021)
Chenxiang Ma, Junhai Xu, Qiang Yu
Temporal Dependent Local Learning for Deep Spiking Neural Networks. IJCNN (2021)
Qiang Yu, Shiming Song, Chenxiang Ma, Linqiang Pan, Kay Chen Tan
Synaptic Learning with Augmented Spikes. CoRR (2020)
Shiming Song, Chenxiang Ma, Qiang Yu
Brain-Inspired Framework for Image Classification with a New Unsupervised Matching Pursuit Encoding. ICONIP (3) (2020)
Shenglan Li, Qiang Yu
New Efficient Multi-Spike Learning for Fast Processing and Robust Learning. AAAI (2020)
Qiang Yu, Chenxiang Ma, Shiming Song, Gaoyan Zhang, Jianwu Dang, Kay Chen Tan
Constructing Accurate and Efficient Deep Spiking Neural Networks with Double-threshold and Augmented Schemes. CoRR (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)
Chenxiang Ma, Qiang Yu
AugMapping: Accurate and Efficient Inference with Deep Double-Threshold Spiking Neural Networks. SSCI (2020)
Qiang Yu, Yanli Yao, Longbiao Wang, Huajin Tang, Jianwu Dang
A Multi-spike Approach for Robust Sound Recognition. ICASSP (2019)
Yanli Yao, Qiang Yu, Longbiao Wang, Jianwu Dang
Robust Sound Event Classification with Local Time-Frequency Information and Convolutional Neural Networks. ICANN (4) (2019)
Rong Xiao, Qiang Yu, Rui Yan, Huajin Tang
Fast and Accurate Classification with a Multi-Spike Learning Algorithm for Spiking Neurons. IJCAI (2019)
Yanli Yao, Qiang Yu, Longbiao Wang, Jianwu Dang
An integrated system for robust gender classification with convolutional restricted Boltzmann machine and spiking neural network. SSCI (2019)
Qiang Yu, Haizhou Li, Kay Chen Tan
Spike Timing or Rate? Neurons Learn to Make Decisions for Both Through Threshold-Driven Plasticity. IEEE Trans. Cybern. 49 (6) (2019)
Qiang Yu, Yanli Yao, Longbiao Wang, Huajin Tang, Jianwu Dang, Kay Chen Tan
Robust Environmental Sound Recognition with Sparse Key-point Encoding and Efficient Multi-spike Learning. CoRR (2019)
Yanli Yao, Qiang Yu, Longbiao Wang, Jianwu Dang
A Spiking Neural Network with Distributed Keypoint Encoding for Robust Sound Recognition. IJCNN (2019)
Shiming Song, Qiang Yu, Longbiao Wang, Jianwu Dang
A Matching Pursuit Approach for Image Classification with Spiking Neural Networks. SSCI (2019)
Linjuan Zhang, Longbiao Wang, Jianwu Dang, Lili Guo, Qiang Yu
Gender-Aware CNN-BLSTM for Speech Emotion Recognition. ICANN (1) (2018)
Qiang Yu, Longbiao Wang, Jianwu Dang
Efficient Multi-spike Learning with Tempotron-Like LTP and PSD-Like LTD. ICONIP (1) (2018)
Qiang Yu, Longbiao Wang, Jianwu Dang
Neuronal Classifier for both Rate and Timing-Based Spike Patterns. ICONIP (6) (2017)
Qiang Yu, Rui Yan, Huajin Tang, Kay Chen Tan, Haizhou Li
A Spiking Neural Network System for Robust Sequence Recognition. IEEE Trans. Neural Networks Learn. Syst. 27 (3) (2016)
Qiang Yu, Huajin Tang, Kay Chen Tan
A new learning rule for classification of spatiotemporal spike patterns. IJCNN (2014)
Qiang Yu, Huajin Tang, Kay Chen Tan, Haoyong Yu
A brain-inspired spiking neural network model with temporal encoding and learning. Neurocomputing 138 (2014)
Bo Zhao, Qiang Yu, Ruoxi Ding, Shoushun Chen, Huajin Tang
Event-driven simulation of the tempotron spiking neuron. BioCAS (2014)
Jonathan William Dennis, Qiang Yu, Huajin Tang, Tran Huy Dat, Haizhou Li
Temporal coding of local spectrogram features for robust sound recognition. ICASSP (2013)
Bo Zhao, Qiang Yu, Hang Yu, Shoushun Chen, Huajin Tang
A bio-inspired feedforward system for categorization of AER motion events. BioCAS (2013)
Qiang Yu, Huajin Tang, Kay Chen Tan, Haizhou Li
Rapid Feedforward Computation by Temporal Encoding and Learning With Spiking Neurons. IEEE Trans. Neural Networks Learn. Syst. 24 (10) (2013)
Qiang Yu, Kay Chen Tan, Huajin Tang
Pattern recognition computation in a spiking neural network with temporal encoding and learning. IJCNN (2012)
Huajin Tang, Qiang Yu, Kay Chen Tan
Learning real-world stimuli by single-spike coding and tempotron rule. IJCNN (2012)
Chin Hiong Tan, Eng Yeow Cheu, Jun Hu, Qiang Yu, Huajin Tang
Associative Memory Model of Hippocampus CA3 Using Spike Response Neurons. ICONIP (1) (2011)
Kay Chen Tan, Eu Jin Teoh, Qiang Yu, K. C. Goh
A hybrid evolutionary algorithm for attribute selection in data mining. Expert Syst. Appl. 36 (4) (2009)
Kay Chen Tan, Qiang Yu, Ji Hua Ang
A Dual-Objective Evolutionary Algorithm for Rules Extraction in Data Mining. Comput. Optim. Appl. 34 (2) (2006)
Kay Chen Tan, Qiang Yu, Ji Hua Ang
A coevolutionary algorithm for rules discovery in data mining. Int. J. Syst. Sci. 37 (12) (2006)
Kay Chen Tan, Qiang Yu, Tong Heng Lee
A distributed evolutionary classifier for knowledge discovery in data mining. IEEE Trans. Syst. Man Cybern. Part C 35 (2) (2005)
Kay Chen Tan, Qiang Yu, C. M. Heng, Tong Heng Lee
Evolutionary computing for knowledge discovery in medical diagnosis. Artif. Intell. Medicine 27 (2) (2003)