Li-Na Wang

According to our database, Li-Na Wang authored at least 20 papers between 2004 and 2023.

Collaborative distances:

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

2023

Recurrent attention unit: A new gated recurrent unit for long-term memory of important parts in sequential data.

Zhaoyang Niu, Guoqiang Zhong, Guohua Yue, Li-Na Wang, Hui Yu, Xiao Ling, Junyu Dong

Neurocomputing, 2023

Relational Fisher Analysis: Dimensionality Reduction in Relational Data with Global Convergence.

Li-Na Wang, Guoqiang Zhong, Yaxin Shi, Mohamed Cheriet

Algorithms, 2023

Deep Error-Correcting Output Codes.

Li-Na Wang, Hongxu Wei, Yuchen Zheng, Junyu Dong, Guoqiang Zhong

Algorithms, 2023

Algorithms of Time Series Network: Approaches Reproduction and Networks Topology.

Li-Na Wang, Yuan-Yuan Cheng, Gui-Min Tan

Proceedings of the Fuzzy Systems and Data Mining IX, 2023

A Method to Explore the Synchronous Changes of High-Traffic Events Based on Dynamic Networks.

Yu-Wen Huang, Li-Na Wang, Chen-Rui Zang

Proceedings of the Fuzzy Systems and Data Mining IX, 2023

2022

Adaptive Gabor convolutional networks.

Ye Yuan, Li-Na Wang, Guoqiang Zhong, Wei Gao, Wencong Jiao, Junyu Dong, Biao Shen, Dongdong Xia, Wei Xiang

Pattern Recognit., 2022

Correction to: a network method to identify the dynamic changes of the data flow with spatio-temporal feature.

Li-Na Wang, Gui-Min Tan, Chen-Rui Zang

Appl. Intell., 2022

A network method to identify the dynamic changes of the data flow with spatio-temporal feature.

Li-Na Wang, Gui-Min Tan, Chen-Rui Zang

Appl. Intell., 2022

2021

Deep Architecture Compression with Automatic Clustering of Similar Neurons.

Xiang Liu, Wenxue Liu, Li-Na Wang, Guoqiang Zhong

Proceedings of the Pattern Recognition and Computer Vision - 4th Chinese Conference, 2021

2020

Compressing Deep Networks by Neuron Agglomerative Clustering.

Li-Na Wang, Wenxue Liu, Xiang Liu, Guoqiang Zhong, Partha Pratim Roy, Junyu Dong, Kaizhu Huang

Sensors, 2020

DNA computing inspired deep networks design.

Guoqiang Zhong, Tao Li, Wencong Jiao, Li-Na Wang, Junyu Dong, Cheng-Lin Liu

Neurocomputing, 2020

Automatic DenseNet Sparsification.

Tao Li, Wencong Jiao, Li-Na Wang, Guoqiang Zhong

IEEE Access, 2020

2019

From shallow feature learning to deep learning: Benefits from the width and depth of deep architectures.

Guoqiang Zhong, Xiao Ling, Li-Na Wang

WIREs Data Mining Knowl. Discov., 2019

First Demonstration of Joint Wireless Communication and High-Resolution SAR Imaging Using Airborne MIMO Radar System.

Jie Wang, Xingdong Liang, Longyong Chen, Li-Na Wang, Kun Li

IEEE Trans. Geosci. Remote. Sens., 2019

Incremental Layers Resection: A Novel Method to Compress Neural Networks.

Xiang Liu, Li-Na Wang, Wenxue Liu, Guoqiang Zhong

IEEE Access, 2019

Joint Wireless Communication and High Resolution SAR Imaging Using Airborne Mimo Radar System.

Jie Wang, Xingdong Liang, Longyong Chen, Li-Na Wang, Sai-Nan Shi

Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019

Enhanced LSTM with Batch Normalization.

Li-Na Wang, Guoqiang Zhong, Shoujun Yan, Junyu Dong, Kaizhu Huang

Proceedings of the Neural Information Processing - 26th International Conference, 2019

AutoML for DenseNet Compression.

Wencong Jiao, Tao Li, Guoqiang Zhong, Li-Na Wang

Proceedings of the Neural Information Processing - 26th International Conference, 2019

2018

A Novel Orthogonal Waveform Separation Scheme for Airborne MIMO-SAR Systems.

Jie Wang, Ke-Hong Zhu, Li-Na Wang, Xingdong Liang, Longyong Chen

Sensors, 2018

2004

The optimized key distribution scheme in threshold RSA.

Jingsong Cui, Rong Peng, Li-Na Wang

Proceedings of the 3rd International Conference on Information Security, 2004