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Zhenzhi Wu

Showing results (1-10 of 8) with videos related to

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Neural Networks : the Official Journal of the International Neural Network Society|May 2, 2021
Learnable Heterogeneous Convolution: Learning both topology and strengthRongzhen Zhao, Zhenzhi Wu, Qikun Zhang
Neural Networks : the Official Journal of the International Neural Network Society|February 23, 2018
GXNOR-Net: Training deep neural networks with ternary weights and activations without full-precision memory under a unified discretization frameworkLei Deng, Peng Jiao, Jing Pei, et al.
IEEE Transactions on Neural Networks and Learning Systems|May 12, 2021
LIAF-Net: Leaky Integrate and Analog Fire Network for Lightweight and Efficient Spatiotemporal Information ProcessingZhenzhi Wu, Hehui Zhang, Yihan Lin, et al.
Neuro-Chirurgie|October 24, 2024
Early aggressive constriction resection for hourglass-like constriction of peripheral nerve in the upper extremity: a retrospective studyDandan Yang, Yao Wu, Long Zheng, et al.
Neural Networks : the Official Journal of the International Neural Network Society|March 6, 2022
Modeling learnable electrical synapse for high precision spatio-temporal recognitionZhenzhi Wu, Zhihong Zhang, Huanhuan Gao, et al.
Frontiers in Neuroscience|August 11, 2023
BIDL: a brain-inspired deep learning framework for spatiotemporal processingZhenzhi Wu, Yangshu Shen, Jing Zhang, et al.
Nature Communications|June 14, 2022
A framework for the general design and computation of hybrid neural networksRong Zhao, Zheyu Yang, Hao Zheng, et al.
Nature|August 2, 2019
Towards artificial general intelligence with hybrid Tianjic chip architectureJing Pei, Lei Deng, Sen Song, et al.
Pageof 1

Showing results (1-10 of 8) with videos related to

Sort By:
Pageof 1
Neural Networks : the Official Journal of the International Neural Network Society|May 2, 2021
Learnable Heterogeneous Convolution: Learning both topology and strengthRongzhen Zhao, Zhenzhi Wu, Qikun Zhang
Neural Networks : the Official Journal of the International Neural Network Society|February 23, 2018
GXNOR-Net: Training deep neural networks with ternary weights and activations without full-precision memory under a unified discretization frameworkLei Deng, Peng Jiao, Jing Pei, et al.
IEEE Transactions on Neural Networks and Learning Systems|May 12, 2021
LIAF-Net: Leaky Integrate and Analog Fire Network for Lightweight and Efficient Spatiotemporal Information ProcessingZhenzhi Wu, Hehui Zhang, Yihan Lin, et al.
Neuro-Chirurgie|October 24, 2024
Early aggressive constriction resection for hourglass-like constriction of peripheral nerve in the upper extremity: a retrospective studyDandan Yang, Yao Wu, Long Zheng, et al.
Neural Networks : the Official Journal of the International Neural Network Society|March 6, 2022
Modeling learnable electrical synapse for high precision spatio-temporal recognitionZhenzhi Wu, Zhihong Zhang, Huanhuan Gao, et al.
Frontiers in Neuroscience|August 11, 2023
BIDL: a brain-inspired deep learning framework for spatiotemporal processingZhenzhi Wu, Yangshu Shen, Jing Zhang, et al.
Nature Communications|June 14, 2022
A framework for the general design and computation of hybrid neural networksRong Zhao, Zheyu Yang, Hao Zheng, et al.
Nature|August 2, 2019
Towards artificial general intelligence with hybrid Tianjic chip architectureJing Pei, Lei Deng, Sen Song, et al.
Pageof 1