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ORCIDQiang Yu 0005
Person information
- affiliation: Tianjin University, School of Computer Science and Technology, Tianjin Key Laboratory of Cognitive Computing and Application, China
- affiliation (since 2016): Institute for Infocomm Research, A*STAR, Singapore
- affiliation (2014 - 2016): Max-Planck-Institute for Experimental Medicine, Center for Theoretical Neuroscience, Göttingen, Germany
- affiliation (PhD 2014): National University of Singapore, Singapore
Other persons with the same name
- Qiang Yu — disambiguation page
- Qiang Yu 0001 — Worldcom Inc., Tulsa, OK, USA (and 1 more)
- Qiang Yu 0002 — Stevens Institute of Technology, Department of Mechanical Engineering, Hoboken, NJ, USA
- Qiang Yu 0003
![[0000-0002-8725-6687]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0000-0002-8725-6687")
— Xidian University, School of Computer Science and Technology, Xi'an, China - Qiang Yu 0004 — University of Queensland, Centre for Advanced Imaging, St. Lucia, QLD, Australia
- Qiang Yu 0006 — University of Technology Sydney, School of Life Sciences, NSW, Australia (and 2 more)
- Qiang Yu 0007 — China University of Mining and Technology, School of Electrical and Power Engineering, Xuzhou, China (and 3 more)
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2020 – today
- 2023
[j18]Chenxiang Ma, Rui Yan, Zhaofei Yu, Qiang Yu:
Deep Spike Learning With Local Classifiers. IEEE Trans. Cybern. 53(5): 3363-3375 (2023)- [j17]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): 10254-10265 (2023) - [c23]Xiaohan Zhou, Yuzhe Liu, Wei Sun, Qiang Yu:
Time-Warp-Invariant Processing with Multi-spike Learning. ICONIP (8) 2023: 15-25 - 2022
- [j16]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): 1364-1376 (2022) - [j15]Qiang Yu, Shiming Song, Chenxiang Ma, Linqiang Pan, Kay Chen Tan:
Synaptic Learning With Augmented Spikes. IEEE Trans. Neural Networks Learn. Syst. 33(3): 1134-1146 (2022) - [j14]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): 1714-1726 (2022) - [j13]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): 3387-3399 (2022) - [c22]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: 1716-1720 - 2021
- [j12]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: 205-212 (2021) - [j11]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): 625-638 (2021) - [j10]Tingfang Wu, Linqiang Pan, Qiang Yu, Kay Chen Tan:
Numerical Spiking Neural P Systems. IEEE Trans. Neural Networks Learn. Syst. 32(6): 2443-2457 (2021) - [c21]Chenxiang Ma, Junhai Xu, Qiang Yu:
A Deep Spike Learning through Critical Time Points. IJCNN 2021: 1-8 - [c20]Chenxiang Ma, Junhai Xu, Qiang Yu:
Temporal Dependent Local Learning for Deep Spiking Neural Networks. IJCNN 2021: 1-7 - 2020
- [c19]Shenglan Li, Qiang Yu:
New Efficient Multi-Spike Learning for Fast Processing and Robust Learning. AAAI 2020: 4650-4657 - [c18]Shiming Song, Chenxiang Ma, Qiang Yu:
Brain-Inspired Framework for Image Classification with a New Unsupervised Matching Pursuit Encoding. ICONIP (3) 2020: 208-219 - [c17]Chenxiang Ma, Qiang Yu:
AugMapping: Accurate and Efficient Inference with Deep Double-Threshold Spiking Neural Networks. SSCI 2020: 2002-2007 - [i4]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 abs/2005.00723 (2020) - [i3]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 abs/2005.03231 (2020) - [i2]Qiang Yu, Shiming Song, Chenxiang Ma, Linqiang Pan, Kay Chen Tan:
Synaptic Learning with Augmented Spikes. CoRR abs/2005.04820 (2020)
2010 – 2019
- 2019
- [j9]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): 2178-2189 (2019) - [c16]Yanli Yao, Qiang Yu, Longbiao Wang, Jianwu Dang:
Robust Sound Event Classification with Local Time-Frequency Information and Convolutional Neural Networks. ICANN (4) 2019: 351-361 - [c15]Qiang Yu, Yanli Yao, Longbiao Wang, Huajin Tang, Jianwu Dang:
A Multi-spike Approach for Robust Sound Recognition. ICASSP 2019: 890-894 - [c14]Rong Xiao, Qiang Yu, Rui Yan, Huajin Tang:
Fast and Accurate Classification with a Multi-Spike Learning Algorithm for Spiking Neurons. IJCAI 2019: 1445-1451 - [c13]Yanli Yao, Qiang Yu, Longbiao Wang, Jianwu Dang:
A Spiking Neural Network with Distributed Keypoint Encoding for Robust Sound Recognition. IJCNN 2019: 1-8 - [c12]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: 2348-2353 - [c11]Shiming Song, Qiang Yu, Longbiao Wang, Jianwu Dang:
A Matching Pursuit Approach for Image Classification with Spiking Neural Networks. SSCI 2019: 2354-2359 - [i1]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 abs/1902.01094 (2019) - 2018
- [c10]Linjuan Zhang, Longbiao Wang, Jianwu Dang, Lili Guo, Qiang Yu:
Gender-Aware CNN-BLSTM for Speech Emotion Recognition. ICANN (1) 2018: 782-790 - [c9]Qiang Yu, Longbiao Wang, Jianwu Dang:
Efficient Multi-spike Learning with Tempotron-Like LTP and PSD-Like LTD. ICONIP (1) 2018: 545-554 - 2017
- [b1]Qiang Yu, Huajin Tang, Jun Hu, Kay Chen Tan:
Neuromorphic Cognitive Systems - A Learning and Memory Centered Approach. Intelligent Systems Reference Library 126, Springer 2017, ISBN 978-3-319-55308-5, pp. 1-172 - [c8]Qiang Yu, Longbiao Wang, Jianwu Dang:
Neuronal Classifier for both Rate and Timing-Based Spike Patterns. ICONIP (6) 2017: 759-766 - 2016
- [j8]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): 621-635 (2016) - 2014
- [j7]Qiang Yu, Huajin Tang, Kay Chen Tan, Haoyong Yu:
A brain-inspired spiking neural network model with temporal encoding and learning. Neurocomputing 138: 3-13 (2014) - [c7]Bo Zhao, Qiang Yu, Ruoxi Ding, Shoushun Chen, Huajin Tang:
Event-driven simulation of the tempotron spiking neuron. BioCAS 2014: 667-670 - [c6]Qiang Yu, Huajin Tang, Kay Chen Tan:
A new learning rule for classification of spatiotemporal spike patterns. IJCNN 2014: 3853-3858 - 2013
- [j6]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): 1539-1552 (2013) - [c5]Bo Zhao, Qiang Yu, Hang Yu, Shoushun Chen, Huajin Tang:
A bio-inspired feedforward system for categorization of AER motion events. BioCAS 2013: 9-12 - [c4]Jonathan William Dennis, Qiang Yu, Huajin Tang, Tran Huy Dat, Haizhou Li:
Temporal coding of local spectrogram features for robust sound recognition. ICASSP 2013: 803-807 - 2012
- [c3]Huajin Tang, Qiang Yu, Kay Chen Tan:
Learning real-world stimuli by single-spike coding and tempotron rule. IJCNN 2012: 1-6 - [c2]Qiang Yu, Kay Chen Tan, Huajin Tang:
Pattern recognition computation in a spiking neural network with temporal encoding and learning. IJCNN 2012: 1-7 - 2011
- [c1]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: 493-500
2000 – 2009
- 2009
- [j5]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): 8616-8630 (2009) - 2006
- [j4]Kay Chen Tan, Qiang Yu, Ji Hua Ang:
A Dual-Objective Evolutionary Algorithm for Rules Extraction in Data Mining. Comput. Optim. Appl. 34(2): 273-294 (2006) - [j3]Kay Chen Tan, Qiang Yu, Ji Hua Ang:
A coevolutionary algorithm for rules discovery in data mining. Int. J. Syst. Sci. 37(12): 835-864 (2006) - 2005
- [j2]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): 131-142 (2005) - 2003
- [j1]Kay Chen Tan, Qiang Yu, C. M. Heng, Tong Heng Lee:
Evolutionary computing for knowledge discovery in medical diagnosis. Artif. Intell. Medicine 27(2): 129-154 (2003)
Coauthor Index
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