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Sen Yuan
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Journal Articles
- 2023
- [j7]Sen Yuan
, Francesco Fioranelli
, Alexander G. Yarovoy:
Vehicular-Motion-Based DOA Estimation With a Limited Amount of Snapshots for Automotive MIMO Radar. IEEE Trans. Aerosp. Electron. Syst. 59(6): 7611-7625 (2023) - 2021
- [j6]Sen Yuan
, Ze Yu
, Chunsheng Li
, Shusen Wang:
A Novel SAR Sidelobe Suppression Method Based on CNN. IEEE Geosci. Remote. Sens. Lett. 18(1): 132-136 (2021) - 2019
- [j5]Sen Yuan, Xia Mao, Lijiang Chen:
Sparsity Regularization Discriminant Projection for Feature Extraction. Neural Process. Lett. 49(2): 539-553 (2019) - 2018
- [j4]Sen Yuan, Xia Mao:
Exponential elastic preserving projections for facial expression recognition. Neurocomputing 275: 711-724 (2018) - [j3]Sen Yuan, Xia Mao, Lijiang Chen:
Elastic preserving projections based on L1-norm maximization. Multim. Tools Appl. 77(16): 21671-21691 (2018) - 2017
- [j2]Sen Yuan
, Xia Mao, Lijiang Chen
:
Multilinear Spatial Discriminant Analysis for Dimensionality Reduction. IEEE Trans. Image Process. 26(6): 2669-2681 (2017) - 2016
- [j1]Sen Yuan, Xia Mao:
Optimal neighbor graph-based orthogonal tensor locality preserving projection for image recognition. J. Electronic Imaging 25(6): 63017 (2016)
Conference and Workshop Papers
- 2022
- [c5]Weikun Niu, Sen Yuan, Feng Zhang:
An incremental unsupervised feature extraction method based on Infomax. ICBIP 2022: 61-67 - 2021
- [c4]Xiaodong Yang, Sen Yuan, Hang Zhou, Binbin Ding:
A proxy-protected proxy signature based on SM9. DSC 2021: 166-170 - [c3]Sen Yuan, Geming Xia, Jian Chen, Chaodong Yu:
Toward Dispersed Computing: Cases and State-of-The-Art. MSN 2021: 710-717 - 2020
- [c2]Sen Yuan, Si Chen, Feng Zhang, Wentao Huang:
L1-Norm and Trace Lasso Based Locality Correlation Projection. ICCSIP 2020: 73-84 - 2019
- [c1]Sen Yuan
, Chunsheng Li, Ze Yu, Jiwen Geng, Jindong Yu:
Maximum Nesigma0 Based on the New Steering Strategy for Geo Sar. IGARSS 2019: 8633-8636
Informal and Other Publications
- 2021
- [i1]Sen Yuan, Milan Shen, Ilya Mironov, Anderson C. A. Nascimento:
Practical, Label Private Deep Learning Training based on Secure Multiparty Computation and Differential Privacy. IACR Cryptol. ePrint Arch. 2021: 835 (2021)
Coauthor Index
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