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Attention Spiking Neural Networks


Sep 28, 2022
Man Yao, Guangshe Zhao, Hengyu Zhang, Yifan Hu, Lei Deng, Yonghong Tian, Bo Xu, Guoqi Li

* 18 pages, 8 figures, Under Review 

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Contrastive learning-based computational histopathology predict differential expression of cancer driver genes


Apr 27, 2022
Haojie Huang, Gongming Zhou, Xuejun Liu, Lei Deng, Chen Wu, Dachuan Zhang, Hui Liu


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Spiking Neural Network Integrated Circuits: A Review of Trends and Future Directions


Mar 14, 2022
Arindam Basu, Charlotte Frenkel, Lei Deng, Xueyong Zhang


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A Deep Learning Approach to Predicting Ventilator Parameters for Mechanically Ventilated Septic Patients


Feb 21, 2022
Zhijun Zeng, Zhen Hou, Ting Li, Lei Deng, Jianguo Hou, Xinran Huang, Jun Li, Meirou Sun, Yunhan Wang, Qiyu Wu, Wenhao Zheng, Hua Jiang, Qi Wang


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Survey on Graph Neural Network Acceleration: An Algorithmic Perspective


Feb 10, 2022
Xin Liu, Mingyu Yan, Lei Deng, Guoqi Li, Xiaochun Ye, Dongrui Fan, Shirui Pan, Yuan Xie

* 8 pages 

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Advancing Residual Learning towards Powerful Deep Spiking Neural Networks


Dec 23, 2021
Yifan Hu, Yujie Wu, Lei Deng, Guoqi Li


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ES-ImageNet: A Million Event-Stream Classification Dataset for Spiking Neural Networks


Oct 23, 2021
Yihan Lin, Wei Ding, Shaohua Qiang, Lei Deng, Guoqi Li


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Graph2MDA: a multi-modal variational graph embedding model for predicting microbe-drug associations


Aug 14, 2021
Lei Deng, Yibiao Huang, Xuejun Liu, Hui Liu


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H2Learn: High-Efficiency Learning Accelerator for High-Accuracy Spiking Neural Networks


Jul 25, 2021
Ling Liang, Zheng Qu, Zhaodong Chen, Fengbin Tu, Yujie Wu, Lei Deng, Guoqi Li, Peng Li, Yuan Xie


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Exploiting Spiking Dynamics with Spatial-temporal Feature Normalization in Graph Learning


Jun 30, 2021
Mingkun Xu, Yujie Wu, Lei Deng, Faqiang Liu, Guoqi Li, Jing Pei

* Accepted by IJCAI-21 

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