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2020 – today
- 2024
[j3]Leying Guan
:
Smooth and Probabilistic PARAFAC Model with Auxiliary Covariates. J. Comput. Graph. Stat. 33(2): 538-550 (2024)- [c1]Yujin Han, Mingwenchan Xu, Leying Guan:
Conformalized Semi-supervised Random Forest for Classification and Abnormality Detection. AISTATS 2024: 2881-2889 - [i3]Yuheng Lai, Leying Guan:
Flexible Fairness Learning via Inverse Conditional Permutation. CoRR abs/2404.05678 (2024) - 2023
- [i2]Yujin Han, Mingwenchan Xu, Leying Guan:
Conformalized semi-supervised random forest for classification and abnormality detection. CoRR abs/2302.02237 (2023) - [i1]Yujin Han, Leying Guan:
GAN-based federated learning for label protection in binary classification. CoRR abs/2302.02245 (2023)
2010 – 2019
- 2017
- [j2]Ye Henry Li, Dangna Li, Nikolay Samusik, Xiaowei Wang, Leying Guan, Garry P. Nolan, Wing Hung Wong:
Scalable multi-sample single-cell data analysis by Partition-Assisted Clustering and Multiple Alignments of Networks. PLoS Comput. Biol. 13(12) (2017) - 2014
- [j1]Leying Guan, Qian Yang, Mengting Gu, Liang Chen, Xuegong Zhang:
Exon expression QTL (eeQTL) analysis highlights distant genomic variations associated with splicing regulation. Quant. Biol. 2(2): 71-79 (2014)
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