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Meng Huang
Meng Huang
Department of Computer Science, University of Tsukuba.
Verified email at s.tsukuba.ac.jp
Title
Cited by
Cited by
Year
DuCaGAN: Unified dual capsule generative adversarial network for unsupervised image-to-image translation
G Shao, M Huang, F Gao, T Liu, L Li
IEEE Access 8, 154691-154707, 2020
162020
A novel policy gradient algorithm with PSO-based parameter exploration for continuous control
T Liu, L Li, G Shao, X Wu, M Huang
Engineering Applications of Artificial Intelligence 90, 103525, 2020
152020
Missing value imputation with low-rank matrix completion in single-cell RNA-seq data by considering cell heterogeneity
M Huang, X Ye, H Li, T Sakurai
Frontiers in Genetics 13, 952649, 2022
32022
Discriminative locality-constrained sparse representation for robust face recognition
M Huang, G Shao, K Wang, T Liu, H Lu
Journal of Physics: Conference Series 1780 (1), 012034, 2021
32021
Sequential reinforcement active feature learning for gene signature identification in renal cell carcinoma
M Huang, X Ye, A Imakura, T Sakurai
Journal of Biomedical Informatics 128, 104049, 2022
22022
AAFL: automatic association feature learning for gene signature identification of cancer subtypes in single-cell RNA-seq data
M Huang, C Long, J Ma
Briefings in Functional Genomics 22 (5), 420-427, 2023
12023
Unravelling cancer subtype-specific driver genes in single-cell transcriptomics data with CSDGI
M Huang, J Ma, G An, X Ye
PLOS Computational Biology 19 (12), e1011450, 2023
2023
Inferring cell developmental stage-specific lncRNA regulation in the developing human neocortex with CDSlncR
M Huang, J Ma, J Zhang
Frontiers in Molecular Neuroscience 15, 1037565, 2023
2023
Inferring cell-specific lncRNA regulation with single-cell RNA-sequencing data in the developing human neocortex
M Huang, J Ma, C Long, J Zhang, X Ye, T Sakurai
arXiv preprint arXiv:2211.08084, 2022
2022
Unveiling interpretable development-specific gene signatures in the developing human prefrontal cortex with ICGS
M Huang, X Ye, T Sakurai
arXiv preprint arXiv:2211.08096, 2022
2022
An industrial data augmentation method based on homogeneous fusion
G SHAO, M HUANG, F GAO, T LIU
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