Qiang Yu

Orcid: 0000-0002-0695-1603

Affiliations:
  • Tianjin University, School of Computer Science and Technology, Tianjin Key Laboratory of Cognitive Computing and Application, China
  • Institute for Infocomm Research, A*STAR, Singapore (since 2016)
  • Max-Planck-Institute for Experimental Medicine, Center for Theoretical Neuroscience, Göttingen, Germany (2014 - 2016)
  • National University of Singapore, Singapore (PhD 2014)


According to our database1, Qiang Yu authored at least 44 papers between 2003 and 2023.

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

Timeline

Legend:

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PhD thesis 
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Links

Online presence:

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Bibliography

2023
Improving Multispike Learning With Plastic Synaptic Delays.
IEEE Trans. Neural Networks Learn. Syst., December, 2023

Deep Spike Learning With Local Classifiers.
IEEE Trans. Cybern., May, 2023

Time-Warp-Invariant Processing with Multi-spike Learning.
Proceedings of the Neural Information Processing - 30th International Conference, 2023

2022
Temporal Encoding and Multispike Learning Framework for Efficient Recognition of Visual Patterns.
IEEE Trans. Neural Networks Learn. Syst., 2022

Synaptic Learning With Augmented Spikes.
IEEE Trans. Neural Networks Learn. Syst., 2022

Constructing Accurate and Efficient Deep Spiking Neural Networks With Double-Threshold and Augmented Schemes.
IEEE Trans. Neural Networks Learn. Syst., 2022

Toward Efficient Processing and Learning With Spikes: New Approaches for Multispike Learning.
IEEE Trans. Cybern., 2022

Self-Distillation Based on High-level Information Supervision for Compressing End-to-End ASR Model.
Proceedings of the 23rd Annual Conference of the International Speech Communication Association, 2022

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

Numerical Spiking Neural P Systems.
IEEE Trans. Neural Networks Learn. Syst., 2021

Efficient learning with augmented spikes: A case study with image classification.
Neural Networks, 2021

Temporal Dependent Local Learning for Deep Spiking Neural Networks.
Proceedings of the International Joint Conference on Neural Networks, 2021

A Deep Spike Learning through Critical Time Points.
Proceedings of the International Joint Conference on Neural Networks, 2021

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

AugMapping: Accurate and Efficient Inference with Deep Double-Threshold Spiking Neural Networks.
Proceedings of the 2020 IEEE Symposium Series on Computational Intelligence, 2020

Brain-Inspired Framework for Image Classification with a New Unsupervised Matching Pursuit Encoding.
Proceedings of the Neural Information Processing - 27th International Conference, 2020

New Efficient Multi-Spike Learning for Fast Processing and Robust Learning.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Spike Timing or Rate? Neurons Learn to Make Decisions for Both Through Threshold-Driven Plasticity.
IEEE Trans. Cybern., 2019

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

An integrated system for robust gender classification with convolutional restricted Boltzmann machine and spiking neural network.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2019

A Matching Pursuit Approach for Image Classification with Spiking Neural Networks.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2019

A Spiking Neural Network with Distributed Keypoint Encoding for Robust Sound Recognition.
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

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

Robust Sound Event Classification with Local Time-Frequency Information and Convolutional Neural Networks.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2019: Text and Time Series, 2019

2018
Efficient Multi-spike Learning with Tempotron-Like LTP and PSD-Like LTD.
Proceedings of the Neural Information Processing - 25th International Conference, 2018

Gender-Aware CNN-BLSTM for Speech Emotion Recognition.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2018, 2018

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

Neuronal Classifier for both Rate and Timing-Based Spike Patterns.
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

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

Temporal coding of local spectrogram features for robust sound recognition.
Proceedings of the IEEE International Conference on Acoustics, 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
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
Associative Memory Model of Hippocampus CA3 Using Spike Response Neurons.
Proceedings of the Neural Information Processing - 18th International Conference, 2011

2009
A hybrid evolutionary algorithm for attribute selection in data mining.
Expert Syst. Appl., 2009

2006
A coevolutionary algorithm for rules discovery in data mining.
Int. J. Syst. Sci., 2006

A Dual-Objective Evolutionary Algorithm for Rules Extraction in Data Mining.
Comput. Optim. Appl., 2006

2005
A distributed evolutionary classifier for knowledge discovery in data mining.
IEEE Trans. Syst. Man Cybern. Part C, 2005

2003
Evolutionary computing for knowledge discovery in medical diagnosis.
Artif. Intell. Medicine, 2003


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