Dingheng Wang - RankMe

18 papers A* 1Journal 17

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Fine-grained hierarchical singular value decomposition for convolutional neural networks compression and acceleration. Neurocomputing Mengmeng Qi, Dingheng Wang, Wei Yang, Baorong Liu, Fuyong Wang, Zengqiang Chen
2025	J	`jnl`	Temperature-Aware Dynamic Fusion Network for Few-Shot Segmentation of Infrared Images. IEEE Trans. Geosci. Remote. Sens. Bo Wang, Dong Li, Xina Cheng, Yuan Li, Xiangrong Zhang, Xu Tang, Dingheng Wang, Licheng Jiao
2024	J	`jnl`	3D-KCPNet: Efficient 3DCNNs based on tensor mapping theory. Neurocomputing Rui Lv, Dingheng Wang, Jiangbin Zheng, Zhao-Xu Yang
2023	J	`jnl`	Corrigendum to "Realistic acceleration of neural networks with fine-grained tensor decomposition" [Neurocomputing 512 (2022) 52-68]. Neurocomputing Rui Lv, Dingheng Wang, Jiangbin Zheng, Yefan Xie, Zhao-Xu Yang
2023	J	`jnl`	Kronecker CP Decomposition With Fast Multiplication for Compressing RNNs. IEEE Trans. Neural Networks Learn. Syst. Dingheng Wang, Bijiao Wu, Guangshe Zhao, Man Yao, Hengnu Chen, Lei Deng, Tianyi Yan, Guoqi Li
2023	J	`jnl`	Sparser spiking activity can be better: Feature Refine-and-Mask spiking neural network for event-based visual recognition. Neural Networks Man Yao, Hengyu Zhang, Guangshe Zhao, Xiyu Zhang, Dingheng Wang, Gang Cao, Guoqi Li
2022	J	`jnl`	Efficient Visual Recognition: A Survey on Recent Advances and Brain-inspired Methodologies. Int. J. Autom. Comput. Yang Wu, Dingheng Wang, Xiaotong Lu, Fan Yang, Man Yao, Weisheng Dong, Jianbo Shi, Guoqi Li
2022	J	`jnl`	Realistic acceleration of neural networks with fine-grained tensor decomposition. Neurocomputing Rui Lv, Dingheng Wang, Jiangbin Zheng, Yefan Xie, Zhao-Xu Yang
2021	J	`jnl`	Efficient Visual Recognition with Deep Neural Networks: A Survey on Recent Advances and New Directions. CoRR Yang Wu, Dingheng Wang, Xiaotong Lu, Fan Yang, Guoqi Li, Weisheng Dong, Jianbo Shi
2021	J	`jnl`	Nonlinear tensor train format for deep neural network compression. Neural Networks Dingheng Wang, Guangshe Zhao, Hengnu Chen, Zhexian Liu, Lei Deng, Guoqi Li
2021	J	`jnl`	QTTNet: Quantized tensor train neural networks for 3D object and video recognition. Neural Networks Donghyun Lee, Dingheng Wang, Yukuan Yang, Lei Deng, Guangshe Zhao, Guoqi Li
2021	A*	`conf`	Temporal-wise Attention Spiking Neural Networks for Event Streams Classification. ICCV Man Yao, Huanhuan Gao, Guangshe Zhao, Dingheng Wang, Yihan Lin, Zhao-Xu Yang, Guoqi Li
2021	J	`jnl`	Temporal-wise Attention Spiking Neural Networks for Event Streams Classification. CoRR Man Yao, Huanhuan Gao, Guangshe Zhao, Dingheng Wang, Yihan Lin, Zhao-Xu Yang, Guoqi Li
2020	J	`jnl`	Compressing 3DCNNs based on tensor train decomposition. Neural Networks Dingheng Wang, Guangshe Zhao, Guoqi Li, Lei Deng, Yang Wu
2020	J	`jnl`	Hybrid Tensor Decomposition in Neural Network Compression. CoRR Bijiao Wu, Dingheng Wang, Guangshe Zhao, Lei Deng, Guoqi Li
2020	J	`jnl`	Hybrid tensor decomposition in neural network compression. Neural Networks Bijiao Wu, Dingheng Wang, Guangshe Zhao, Lei Deng, Guoqi Li
2020	J	`jnl`	Kronecker CP Decomposition with Fast Multiplication for Compressing RNNs. CoRR Dingheng Wang, Bijiao Wu, Guangshe Zhao, Hengnu Chen, Lei Deng, Tianyi Yan, Guoqi Li
2019	J	`jnl`	Lossless Compression for 3DCNNs Based on Tensor Train Decomposition. CoRR Dingheng Wang, Guangshe Zhao, Guoqi Li, Lei Deng, Yang Wu