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Dingheng Wang

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|August 18, 2020
Compressing 3DCNNs based on tensor train decompositionDingheng Wang, Guangshe Zhao, Guoqi Li, et al.
Neural Networks : the Official Journal of the International Neural Network Society|September 25, 2020
Hybrid tensor decomposition in neural network compressionBijiao Wu, Dingheng Wang, Guangshe Zhao, et al.
Neural Networks : the Official Journal of the International Neural Network Society|June 19, 2021
QTTNet: Quantized tensor train neural networks for 3D object and video recognitionDonghyun Lee, Dingheng Wang, Yukuan Yang, et al.
Neural Networks : the Official Journal of the International Neural Network Society|September 21, 2021
Nonlinear tensor train format for deep neural network compressionDingheng Wang, Guangshe Zhao, Hengnu Chen, et al.
Sensors (Basel, Switzerland)|April 14, 2026
Robust 3D Multi-Object Tracking via 4D mmWave Radar-Camera Fusion and Disparity-Domain Depth RecoveryYunfei Xie, Xiaohui Li, Dingheng Wang, et al.
Neural Networks : the Official Journal of the International Neural Network Society|August 7, 2023
Sparser spiking activity can be better: Feature Refine-and-Mask spiking neural network for event-based visual recognitionMan Yao, Hengyu Zhang, Guangshe Zhao, et al.
IEEE Transactions on Neural Networks and Learning Systems|September 17, 2021
Kronecker CP Decomposition With Fast Multiplication for Compressing RNNsDingheng Wang, Bijiao Wu, Guangshe Zhao, et al.
Nature Communications|May 25, 2024
Spike-based dynamic computing with asynchronous sensing-computing neuromorphic chipMan Yao, Ole Richter, Guangshe Zhao, 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|August 18, 2020
Compressing 3DCNNs based on tensor train decompositionDingheng Wang, Guangshe Zhao, Guoqi Li, et al.
Neural Networks : the Official Journal of the International Neural Network Society|September 25, 2020
Hybrid tensor decomposition in neural network compressionBijiao Wu, Dingheng Wang, Guangshe Zhao, et al.
Neural Networks : the Official Journal of the International Neural Network Society|June 19, 2021
QTTNet: Quantized tensor train neural networks for 3D object and video recognitionDonghyun Lee, Dingheng Wang, Yukuan Yang, et al.
Neural Networks : the Official Journal of the International Neural Network Society|September 21, 2021
Nonlinear tensor train format for deep neural network compressionDingheng Wang, Guangshe Zhao, Hengnu Chen, et al.
Sensors (Basel, Switzerland)|April 14, 2026
Robust 3D Multi-Object Tracking via 4D mmWave Radar-Camera Fusion and Disparity-Domain Depth RecoveryYunfei Xie, Xiaohui Li, Dingheng Wang, et al.
Neural Networks : the Official Journal of the International Neural Network Society|August 7, 2023
Sparser spiking activity can be better: Feature Refine-and-Mask spiking neural network for event-based visual recognitionMan Yao, Hengyu Zhang, Guangshe Zhao, et al.
IEEE Transactions on Neural Networks and Learning Systems|September 17, 2021
Kronecker CP Decomposition With Fast Multiplication for Compressing RNNsDingheng Wang, Bijiao Wu, Guangshe Zhao, et al.
Nature Communications|May 25, 2024
Spike-based dynamic computing with asynchronous sensing-computing neuromorphic chipMan Yao, Ole Richter, Guangshe Zhao, et al.
Pageof 1