Te-Cheng Hsu - Concepedia

Author

Te-Cheng Hsu

National Tsing Hua University ORCID

Also Known As

T. -H. Hsu, T.-H. Hsu, T.H. Hsu, Te-Cheng Hsu

Publications

506

Citations

H-Index

Concepts

All Affiliations

National Tsing Hua University National Taiwan University

About

Te-Cheng Hsu is an author at National Tsing Hua University specializing in deep learning, data science, and engineering.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Engineering	3	3	63
2	Medicine	2	2	30
3	Business	1	1	35
4	Natural Sciences	1	1	19
5	Biology	1	1	19

Te-Cheng Hsu

Publications

472

Citations

H-Index

Page 1

	Year	Citations
Overall survival prediction of non-small cell lung cancer by integrating microarray and clinical data with deep learning Yu‐Heng Lai, Weining Chen, Te-Cheng Hsu, Scientific Reports	2020	185
STAT3 phosphorylation at Ser727 and Tyr705 differentially regulates the EMT–MET switch and cancer metastasis Wei‐Hsin Lin, Yi-Wen Chang, Min-Xiang Hong, Oncogene	2020	172
Enhanced Recurrent Neural Network for Combining Static and Dynamic Features for Credit Card Default Prediction Te-Cheng Hsu, Shing-Tzuo Liou, Yunping Wang, EngineeringMachine LearningDeep Learning ModelsRecurrent Neural NetworkCredit Score	2019	35
Uncovering the regeneration strategies of zebrafish organs: a comprehensive systems biology study on heart, cerebellum, fin, and retina regeneration Fang-Yu Liu, Te-Cheng Hsu, Patrick Choong, BMC Systems Biology	2018	22
Direct visualization of the genomic distribution and organization of two cervid centromeric satellite DNA families Yi‐Ching Li, C. Lee, Te-Cheng Hsu, Cytogenetic and Genome Research Satellite IiComparative GenomicsGeneticsSatellite Ii ArrayGenomics	2000	19
A new dynamic finite-state vector quantization algorithm for image compression Jyi‐Chang Tsai, Chaur-Heh Hsieh, Te-Cheng Hsu IEEE Transactions on Image Processing Lossy CompressionEngineeringVideo Coding FormatComputer ArchitectureCodevector Space	2000	17
Generative Adversarial Networks for Robust Breast Cancer Prognosis Prediction with Limited Data Size Te-Cheng Hsu, Che Lin EngineeringMachine LearningDeep Learning ModelsBiomedical Artificial IntelligenceData Science	2020	11
Learning from small medical data—robust semi-supervised cancer prognosis classifier with Bayesian variational autoencoder Te-Cheng Hsu, Che Lin Bioinformatics Advances	2023	11

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