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2020 – today
- 2023
[c7]Said Sadeg, Jean Cauzid, Cécile Fabre, Yingying Song, David Brie, El-Hadi Djermoune:
A Background Correction Algorithm for Hyperspectral Images. EUSIPCO 2023: 486-490- [c6]Hongyan Ye, Yingying Song, Binyu Wang, Lianlian Wu, Song He, Xiaochen Bo, Zhongnan Zhang:
HSGCL-DTA: Hybrid-scale Graph Contrastive Learning based Drug-Target Binding Affinity Prediction. ICTAI 2023: 947-954 - 2022
- [j7]Hongjun Zhou
, Yingying Song:
Characterization of a class of fuzzy implication solutions to the law of importation. Fuzzy Sets Syst. 441: 58-82 (2022) - [j6]Yingying Song, Hui Cui, Tiangang Zhang, Tingxiao Yang, Xiaokun Li, Ping Xuan:
Prediction of Drug-Related Diseases Through Integrating Pairwise Attributes and Neighbor Topological Structures. IEEE ACM Trans. Comput. Biol. Bioinform. 19(5): 2963-2974 (2022) - 2021
- [c5]Yingying Song, Haibo Lan, Jie Guo, Zhiyu Cao, Chendi Shen, Ran Wang:
Verification Model for Meteorological Early Warning Information Based on Natural Language Processing. SPML 2021: 123-128 - 2020
- [j5]Yan Wang, Yao Wang, Yingying Song, Xuping Xie, Lan Huang, Wei Pang, George M. Coghill:
An Efficient v-Minimum Absolute Deviation Distribution Regression Machine. IEEE Access 8: 85533-85551 (2020)
2010 – 2019
- 2019
- [j4]Yingying Song, Fulin Wang, Xinxin Chen:
An improved genetic algorithm for numerical function optimization. Appl. Intell. 49(5): 1880-1902 (2019) - [j3]Yingying Song, El-Hadi Djermoune, Jie Chen, Cédric Richard, David Brie:
Online Deconvolution for Industrial Hyperspectral Imaging Systems. SIAM J. Imaging Sci. 12(1): 54-86 (2019) - [c4]Yingying Song, El-Hadi Djermoune, David Brie, Cédric Richard:
Joint unmixing-deconvolution algorithms for hyperspectral images. EUSIPCO 2019: 1-5 - [c3]Yingying Song, Xueli Jiao, Sen Yang, Shuangquan Zhang, Yuheng Qiao, Zhiyong Liu, Lin Zhang:
Combining Multiple Factors of LightGBM and XGBoost Algorithms to Predict the Morbidity of Double-High Disease. ICPCSEE (2) 2019: 635-644 - 2018
- [b1]Yingying Song:
Spatial resolution improvement of hyperspectral images by deconvolution and joint unmixing-deconvolution. (Amélioration de la résolution spatiale d'une image hyperspectrale par déconvolution et séparation-déconvolution conjointes). University of Lorraine, Nancy, France, 2018 - 2017
- [c2]Yingying Song, El-Hadi Djermoune, Jie Chen, Cédric Richard, David Brie:
Online deconvolution for pushbroom hyperspectral imaging systems. CAMSAP 2017: 1-5 - 2016
- [j2]Jie Chen, Cédric Richard, Yingying Song, David Brie:
Transient Performance Analysis of Zero-Attracting LMS. IEEE Signal Process. Lett. 23(12): 1786-1790 (2016) - [j1]Yingying Song, David Brie, El-Hadi Djermoune, Simon Henrot:
Regularization Parameter Estimation for Non-Negative Hyperspectral Image Deconvolution. IEEE Trans. Image Process. 25(11): 5316-5330 (2016) - [c1]Yingying Song, David Brie, El-Hadi Djermoune, Simon Henrot:
Minimum distance criterion for non-negative hyperspectral image deconvolution. ICASSP 2016: 4308-4312 - [i1]Jie Chen, Cédric Richard, Yingying Song, David Brie:
Transient performance analysis of zero-attracting LMS. CoRR abs/1608.07046 (2016)
Coauthor Index
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