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Journal Articles
- 2023
[j13]Li-Na Wang, Guoqiang Zhong
, Yaxin Shi, Mohamed Cheriet:
Relational Fisher Analysis: Dimensionality Reduction in Relational Data with Global Convergence. Algorithms 16(11): 522 (2023)- [j12]Li-Na Wang, Hongxu Wei, Yuchen Zheng, Junyu Dong, Guoqiang Zhong:
Deep Error-Correcting Output Codes. Algorithms 16(12): 555 (2023) - [j11]Zhaoyang Niu, Guoqiang Zhong, Guohua Yue, Li-Na Wang, Hui Yu, Xiao Ling, Junyu Dong:
Recurrent attention unit: A new gated recurrent unit for long-term memory of important parts in sequential data. Neurocomputing 517: 1-9 (2023) - 2022
- [j10]Li-Na Wang, Gui-Min Tan, Chen-Rui Zang:
A network method to identify the dynamic changes of the data flow with spatio-temporal feature. Appl. Intell. 52(5): 5584-5593 (2022) - [j9]Li-Na Wang, Gui-Min Tan, Chen-Rui Zang:
Correction to: a network method to identify the dynamic changes of the data flow with spatio-temporal feature. Appl. Intell. 52(5): 5594 (2022) - [j8]Ye Yuan, Li-Na Wang, Guoqiang Zhong, Wei Gao, Wencong Jiao, Junyu Dong, Biao Shen, Dongdong Xia, Wei Xiang:
Adaptive Gabor convolutional networks. Pattern Recognit. 124: 108495 (2022) - 2020
- [j7]Tao Li, Wencong Jiao, Li-Na Wang, Guoqiang Zhong:
Automatic DenseNet Sparsification. IEEE Access 8: 62561-62571 (2020) - [j6]Guoqiang Zhong, Tao Li, Wencong Jiao, Li-Na Wang, Junyu Dong, Cheng-Lin Liu:
DNA computing inspired deep networks design. Neurocomputing 382: 140-147 (2020) - [j5]Li-Na Wang, Wenxue Liu, Xiang Liu, Guoqiang Zhong, Partha Pratim Roy, Junyu Dong, Kaizhu Huang:
Compressing Deep Networks by Neuron Agglomerative Clustering. Sensors 20(21): 6033 (2020) - 2019
- [j4]Xiang Liu, Li-Na Wang, Wenxue Liu, Guoqiang Zhong:
Incremental Layers Resection: A Novel Method to Compress Neural Networks. IEEE Access 7: 172167-172177 (2019) - [j3]Jie Wang, Xingdong Liang, Longyong Chen, Li-Na Wang, Kun Li:
First Demonstration of Joint Wireless Communication and High-Resolution SAR Imaging Using Airborne MIMO Radar System. IEEE Trans. Geosci. Remote. Sens. 57(9): 6619-6632 (2019) - [j2]Guoqiang Zhong, Xiao Ling, Li-Na Wang:
From shallow feature learning to deep learning: Benefits from the width and depth of deep architectures. WIREs Data Mining Knowl. Discov. 9(1) (2019) - 2018
- [j1]Jie Wang, Ke-Hong Zhu, Li-Na Wang, Xingdong Liang, Longyong Chen:
A Novel Orthogonal Waveform Separation Scheme for Airborne MIMO-SAR Systems. Sensors 18(10): 3580 (2018)
Conference and Workshop Papers
- 2024
- [c8]Hao-Ran Liu, Li-Na Wang, Chen-Rui Zang, Zai-Zai Yan:
Recurrence time of high traffic events in communication systems: R/S grey prediction based on nonlinear test. ICCCV 2024: 39-46 - 2023
- [c7]Yu-Wen Huang, Li-Na Wang, Chen-Rui Zang:
A Method to Explore the Synchronous Changes of High-Traffic Events Based on Dynamic Networks. FSDM 2023: 205-211 - [c6]Li-Na Wang, Yuan-Yuan Cheng, Gui-Min Tan:
Algorithms of Time Series Network: Approaches Reproduction and Networks Topology. FSDM 2023: 212-220 - 2021
- [c5]Xiang Liu, Wenxue Liu, Li-Na Wang, Guoqiang Zhong:
Deep Architecture Compression with Automatic Clustering of Similar Neurons. PRCV (4) 2021: 361-373 - 2019
- [c4]Wencong Jiao, Tao Li, Guoqiang Zhong, Li-Na Wang:
AutoML for DenseNet Compression. ICONIP (3) 2019: 151-161 - [c3]Li-Na Wang, Guoqiang Zhong, Shoujun Yan, Junyu Dong, Kaizhu Huang:
Enhanced LSTM with Batch Normalization. ICONIP (1) 2019: 746-755 - [c2]Jie Wang, Xingdong Liang, Longyong Chen, Li-Na Wang, Sai-Nan Shi:
Joint Wireless Communication and High Resolution SAR Imaging Using Airborne Mimo Radar System. IGARSS 2019: 2511-2514 - 2004
- [c1]Jingsong Cui, Rong Peng, Li-Na Wang:
The optimized key distribution scheme in threshold RSA. InfoSecu 2004: 18-21
Coauthor Index
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