Lossless Compression for 3DCNNs Based on Tensor Train Decomposition. - Dingheng Wang; Guangshe Zhao; Guoqi Li; Lei Deng 003; Yang Wu 001 (CoRR, 2019)

Kronecker CP Decomposition with Fast Multiplication for Compressing RNNs. - Dingheng Wang; Bijiao Wu; Guangshe Zhao; Hengnu Chen; Lei Deng 003; Tianyi Yan; Guoqi Li (CoRR, 2020)

Compressing 3DCNNs based on tensor train decomposition. - Dingheng Wang; Guangshe Zhao; Guoqi Li; Lei Deng 003; Yang Wu 001 (Neural Networks, 2020)

Hybrid tensor decomposition in neural network compression. - Bijiao Wu; Dingheng Wang; Guangshe Zhao; Lei Deng 003; Guoqi Li (Neural Networks, 2020)

Temporal-wise Attention Spiking Neural Networks for Event Streams Classification. - Man Yao; Huanhuan Gao; Guangshe Zhao; Dingheng Wang; Yihan Lin; Zhao-Xu Yang; Guoqi Li (ICCV, 2021)

Efficient Visual Recognition with Deep Neural Networks: A Survey on Recent Advances and New Directions. - Yang Wu 001; Dingheng Wang; Xiaotong Lu; Fan Yang 032; Guoqi Li; Weisheng Dong; Jianbo Shi (CoRR, 2021)

QTTNet: Quantized tensor train neural networks for 3D object and video recognition. - Donghyun Lee 002; Dingheng Wang; Yukuan Yang; Lei Deng 003; Guangshe Zhao; Guoqi Li (Neural Networks, 2021)

Nonlinear tensor train format for deep neural network compression. - Dingheng Wang; Guangshe Zhao; Hengnu Chen; Zhexian Liu; Lei Deng 003; Guoqi Li (Neural Networks, 2021)

Efficient Visual Recognition: A Survey on Recent Advances and Brain-inspired Methodologies. - Yang Wu 001; Dingheng Wang; Xiaotong Lu; Fan Yang 032; Man Yao; Weisheng Dong; Jianbo Shi; Guoqi Li (Int. J. Autom. Comput., 2022)

Realistic acceleration of neural networks with fine-grained tensor decomposition. - Rui Lv; Dingheng Wang; Jiangbin Zheng 001; Yefan Xie; Zhao-Xu Yang (Neurocomputing, 2022)

Corrigendum to "Realistic acceleration of neural networks with fine-grained tensor decomposition" [Neurocomputing 512 (2022) 52-68]. - Rui Lv; Dingheng Wang; Jiangbin Zheng 001; Yefan Xie; Zhao-Xu Yang (Neurocomputing, 2023)

Kronecker CP Decomposition With Fast Multiplication for Compressing RNNs. - Dingheng Wang; Bijiao Wu; Guangshe Zhao; Man Yao; Hengnu Chen; Lei Deng 003; Tianyi Yan; Guoqi Li (IEEE Trans. Neural Networks Learn. Syst., 2023)

Sparser spiking activity can be better: Feature Refine-and-Mask spiking neural network for event-based visual recognition. - Man Yao; Hengyu Zhang 001; Guangshe Zhao; Xiyu Zhang; Dingheng Wang; Gang Cao; Guoqi Li (Neural Networks, 2023)

3D-KCPNet: Efficient 3DCNNs based on tensor mapping theory. - Rui Lv; Dingheng Wang; Jiangbin Zheng 001; Zhao-Xu Yang (Neurocomputing, 2024)

Fine-grained hierarchical singular value decomposition for convolutional neural networks compression and acceleration. - Mengmeng Qi; Dingheng Wang; Wei Yang; Baorong Liu; Fuyong Wang; Zengqiang Chen 001 (Neurocomputing, 2025)