Dingheng Wang

According to our database, Dingheng Wang authored at least 14 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

3D-KCPNet: Efficient 3DCNNs based on tensor mapping theory.

Rui Lv, Dingheng Wang, Jiangbin Zheng, Zhao-Xu Yang

Neurocomputing, January, 2024

2023

Sparser spiking activity can be better: Feature Refine-and-Mask spiking neural network for event-based visual recognition.

Man Yao, Hengyu Zhang, Guangshe Zhao, Xiyu Zhang, Dingheng Wang, Gang Cao, Guoqi Li

Neural Networks, September, 2023

Kronecker CP Decomposition With Fast Multiplication for Compressing RNNs.

Dingheng Wang, Bijiao Wu, Guangshe Zhao, Man Yao, Hengnu Chen, Lei Deng, Tianyi Yan, Guoqi Li

IEEE Trans. Neural Networks Learn. Syst., May, 2023

Corrigendum to "Realistic acceleration of neural networks with fine-grained tensor decomposition" [Neurocomputing 512 (2022) 52-68].

Rui Lv, Dingheng Wang, Jiangbin Zheng, Yefan Xie, Zhao-Xu Yang

Neurocomputing, March, 2023

2022

Realistic acceleration of neural networks with fine-grained tensor decomposition.

Rui Lv, Dingheng Wang, Jiangbin Zheng, Yefan Xie, Zhao-Xu Yang

Neurocomputing, 2022

Efficient Visual Recognition: A Survey on Recent Advances and Brain-inspired Methodologies.

Yang Wu, Dingheng Wang, Xiaotong Lu, Fan Yang, Man Yao, Weisheng Dong, Jianbo Shi, Guoqi Li

Int. J. Autom. Comput., 2022

2021

Nonlinear tensor train format for deep neural network compression.

Dingheng Wang, Guangshe Zhao, Hengnu Chen, Zhexian Liu, Lei Deng, Guoqi Li

Neural Networks, 2021

QTTNet: Quantized tensor train neural networks for 3D object and video recognition.

Donghyun Lee, Dingheng Wang, Yukuan Yang, Lei Deng, Guangshe Zhao, Guoqi Li

Neural Networks, 2021

Efficient Visual Recognition with Deep Neural Networks: A Survey on Recent Advances and New Directions.

Yang Wu, Dingheng Wang, Xiaotong Lu, Fan Yang, Guoqi Li, Weisheng Dong, Jianbo Shi

CoRR, 2021

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

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

2020

Hybrid tensor decomposition in neural network compression.

Bijiao Wu, Dingheng Wang, Guangshe Zhao, Lei Deng, Guoqi Li

Neural Networks, 2020

Compressing 3DCNNs based on tensor train decomposition.

Dingheng Wang, Guangshe Zhao, Guoqi Li, Lei Deng, Yang Wu

Neural Networks, 2020

Kronecker CP Decomposition with Fast Multiplication for Compressing RNNs.

Dingheng Wang, Bijiao Wu, Guangshe Zhao, Hengnu Chen, Lei Deng, Tianyi Yan, Guoqi Li

CoRR, 2020

2019

Lossless Compression for 3DCNNs Based on Tensor Train Decomposition.

Dingheng Wang, Guangshe Zhao, Guoqi Li, Lei Deng, Yang Wu

CoRR, 2019