Model Compression and Hardware Acceleration for Neural Networks: A Comprehensive Survey von Deng, Lei, Li, Guoqi, Han, Song, Shi, Luping, Xie, Yuan

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Spatio-Temporal Backpropagation for Training High-Performance Spiking Neural Networks von Wu, Yujie, Deng, Lei, Li, Guoqi, Zhu, Jun, Shi, Luping

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Attention Spiking Neural Networks von Yao, Man, Zhao, Guangshe, Zhang, Hengyu, Hu, Yifan, Deng, Lei, Tian, Yonghong, Xu, Bo, Li, Guoqi

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Complex Learning in Bio-plausible Memristive Networks von Deng, Lei, Li, Guoqi, Deng, Ning, Wang, Dong, Zhang, Ziyang, He, Wei, Li, Huanglong, Pei, Jing, Shi, Luping

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L1 -Norm Batch Normalization for Efficient Training of Deep Neural Networks von Wu, Shuang, Li, Guoqi, Deng, Lei, Liu, Liu, Wu, Dong, Xie, Yuan, Shi, Luping

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Training high-performance and large-scale deep neural networks with full 8-bit integers von Yang, Yukuan, Deng, Lei, Wu, Shuang, Yan, Tianyi, Xie, Yuan, Li, Guoqi

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GXNOR-Net: Training deep neural networks with ternary weights and activations without full-precision memory under a unified discretization framework von Deng, Lei, Jiao, Peng, Pei, Jing, Wu, Zhenzhi, Li, Guoqi

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Exploring Adversarial Attack in Spiking Neural Networks With Spike-Compatible Gradient von Liang, Ling, Hu, Xing, Deng, Lei, Wu, Yujie, Li, Guoqi, Ding, Yufei, Li, Peng, Xie, Yuan

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Hybrid tensor decomposition in neural network compression von Wu, Bijiao, Wang, Dingheng, Zhao, Guangshe, Deng, Lei, Li, Guoqi

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Comprehensive SNN Compression Using ADMM Optimization and Activity Regularization von Deng, Lei, Wu, Yujie, Hu, Yifan, Liang, Ling, Li, Guoqi, Hu, Xing, Ding, Yufei, Li, Peng, Xie, Yuan

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Advancing Spiking Neural Networks Toward Deep Residual Learning von Hu, Yifan, Deng, Lei, Wu, Yujie, Yao, Man, Li, Guoqi

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A Comprehensive and Modularized Statistical Framework for Gradient Norm Equality in Deep Neural Networks von Chen, Zhaodong, Deng, Lei, Wang, Bangyan, Li, Guoqi, Xie, Yuan

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Spike Attention Coding for Spiking Neural Networks von Liu, Jiawen, Hu, Yifan, Li, Guoqi, Pei, Jing, Deng, Lei

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ES-ImageNet: A Million Event-Stream Classification Dataset for Spiking Neural Networks von Lin, Yihan, Ding, Wei, Qiang, Shaohua, Deng, Lei, Li, Guoqi

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Nonlinear tensor train format for deep neural network compression von Wang, Dingheng, Zhao, Guangshe, Chen, Hengnu, Liu, Zhexian, Deng, Lei, Li, Guoqi

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Compressing 3DCNNs based on tensor train decomposition von Wang, Dingheng, Zhao, Guangshe, Li, Guoqi, Deng, Lei, Wu, Yang

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Kronecker CP Decomposition With Fast Multiplication for Compressing RNNs von Wang, Dingheng, Wu, Bijiao, Zhao, Guangshe, Yao, Man, Chen, Hengnu, Deng, Lei, Yan, Tianyi, Li, Guoqi

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QTTNet: Quantized tensor train neural networks for 3D object and video recognition von Lee, Donghyun, Wang, Dingheng, Yang, Yukuan, Deng, Lei, Zhao, Guangshe, Li, Guoqi

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H2Learn: High-Efficiency Learning Accelerator for High-Accuracy Spiking Neural Networks von Liang, Ling, Qu, Zheng, Chen, Zhaodong, Tu, Fengbin, Wu, Yujie, Deng, Lei, Li, Guoqi, Li, Peng, Xie, Yuan

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Training and inference for integer-based semantic segmentation network von Yang, Jiayi, Deng, Lei, Yang, Yukuan, Xie, Yuan, Li, Guoqi

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