Publications
Notes: Selected publications are presented here, and a more complete list
can be found at Google Scholar.
Preprints
Qiang Yu(*), Shiming Song, Chenxiang Ma, Linqiang Pan and Kay Chen Tan,
“Synaptic Learning with Augmented Spikes”,
arXive:2005.04820.
Qiang Yu(*), Chenxiang Ma, Shiming Song, Gaoyan Zhang, Jianwu Dang and Kay Chen Tan,
“Constructing Accurate and Efficient Deep Spiking Neural Networks with Double-threshold
and Augmented Schemes”,
arXive:2005.03231.
Shiming Song, Qiang Yu(*), et. al. ,
“Efficient Learning with Augmented Spikes: A Case Study with Image Classification”.
Books
Qiang Yu, H. Tang, J. Hu and K. C. Tan,
“Neuromorphic Cognitive Systems:
A Learning and Memory Centered Approach”,
Intelligent Systems Reference
Library Series, Springer, 2017.
Journal Papers
Tingfang Wu, Linqiang Pan, Qiang Yu and Kay Chen Tan,
“Numerical Spiking Neural P Systems”,
IEEE Trans. On Neural Networks
and Learning Systems, in press, 2020. [IF:8.793, SCI-1]
Qiang Yu(*), Shenglan Li, Huajin Tang, Longbiao Wang, Jianwu Dang and Kay Chen Tan,
“Towards efficient processing and learning with spikes: new approaches for
multi-spike learning”,
IEEE Trans. On Cybernetics, in press, 2020. [IF:11.079, SCI-1]
Qiang Yu(*), Yanli Yao, Longbiao Wang(*), Huajin Tang, Jianwu Dang and Kay Chen Tan,
“Robust environmental sound recognition with sparse key-point encoding and efficient
multi-spike learning”,
IEEE Trans. On Neural Networks and Learning Systems, in press, 2020.
[IF:8.793, SCI-1]
Qiang Yu(*), Haizhou Li and Kay Chen Tan,
“Spike Timing or Rate? Neurons Learn
to Make Decisions for Both Through Threshold-Driven Plasticity”,
IEEE Trans. On Cybernetics, 49(6): 2178-2189, 2019. [IF:11.079, SCI-1]
Qiang Yu, R. Yan, H. Tang, K. C. Tan, and H. Li,
“A Spiking Neural Network System for Robust Sequence Recognition”,
IEEE Trans. On Neural Networks and Learning
Systems, 27(3):621-635, 2016.
Qiang Yu, H. Tang, K. C. Tan, and H. Yu,
“A brain-inspired spiking neural network
model with temporal encoding and learning”,
Neurocomputing, 138:3-13, 2014.
Qiang Yu, H. Tang, K. C. Tan, and H. Li,
“Rapid feedforward computation by
temporal encoding and learning with spiking neurons”,
IEEE Trans. On Neural
Networks and Learning Systems, 24(10): 1539-1552, 2013.
Qiang Yu, H. Tang, K. C. Tan, and H. Li,
“Precise-spike-driven synaptic plasticity:
learning hetero-association of spatiotemporal spike patterns”,
PLoS One, 8(11): e78318, 2013.
Conference Papers (Selected)
Shenglan Li and Qiang Yu(*), “New Efficient Multi-Spike Learning for Fast
Processing and Robust Learning”, in AAAI, New York, USA, 2020. (CCF-A)
Rong Xiao, Qiang Yu, Rui Yan and Huajin Tang, “Fast and accurate classification
with a multi-spike learning algorithm for spiking neurons”, in IJCAI, Macao, China,
2019. (CCF-A)
Yanli Yao, Qiang Yu(*), Longbiao Wang and Jianwu Dang, “Robust sound event classification
with local time-frequency information and convolutional neural networks”, in ICANN, Munich,
Germany, 2019. (CCF-C)
Yanli Yao, Qiang Yu(*), Longbiao Wang and Jianwu Dang, “A spiking neural network with
distributed keypoint encoding for robust sound recognition”, in IJCNN, Budapest,
Hungary, 2019. (CCF-C)
Qiang Yu(*), Yanli Yao, Longbiao Wang, Huajin Tang and Jianwu Dang,
“A multi-spike approach for robust sound recognition”, in ICASSP, Brighton,
UK, 2019. (CCF-B)
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