Che Lin

基本信息

Career Trajectory

Bio

Che Lin (Senior Member, IEEE) received the B.S. degree in electrical engineering from the National Taiwan University in 1999, and the M.S. degree in electrical and computer engineering, the M.S. degree in mathematics, and the Ph.D. degree in electrical and computer engineering from the University of Illinois at Urbana–Champaign in 2003 and 2008, respectively. He was with the Department of Electrical Engineering, National Tsing Hua University, from 2008 to 2019. He is currently a Tenured Full Professor with the Department of Electrical Engineering, National Taiwan University, leading the interdisciplinary Data Science and Signal Processing (iDSSP) Laboratory. His research interests include deep learning, data science, medical AI, FinTech, signal processing in wireless communications, optimization theory, and systems biology. Dr. Lin received the two-year Vodafone Graduate Fellowship in 2006, the E. A. Reid Fellowship Award in 2008, and holds a U.S. patent, which has been included in the 3GPP LTE standard. In 2012, he received the Excellent Teaching Award for the College of EECS, NTHU. He was awarded the Best Paper Award for the 2014 GIW-ISCB-ASIA Conference. In 2015, he received the CIEE Outstanding Young Electrical Engineer Award. In 2017, he received the Young Scholar Innovation Award from the Foundation for the Advancement of Outstanding Scholarship. He has been actively involved in organizing and chairing sessions and has served as a technical program committee member for several international conferences. He was an Elected Member of Design and Implementation of Signal Processing Systems Technical Committee (DISPS TC), IEEE Signal Processing Society, from 2019 to 2020. He has been serving as the Chair for the Industry Subcommittee and an Elected Member of machine learning for Signal Processing Technical Committee (MLSP TC), IEEE Signal Processing Society, since 2021. He has also been an Elected Member of the Applied Signal Processing Systems Technical Committee (ASPS TC), IEEE Signal Processing Society, since 2021.

Research Interests

Papers共 113 篇Author StatisticsCo-AuthorSimilar Experts

By YearBy Citation主题筛选期刊级别筛选合作者筛选合作机构筛选

Multimodal Attention Network for Dementia Prediction

Hsinhan Tsai,Ta-Wei Yang, Kai-Hao Ou,Tung-Hung Su,Che Lin,Cheng-Fu Chou

IEEE J Biomed Health Informaticsno. 11 (2024): 6918-6930

Cited0Views0EIWOSBibtex

SynHING: Synthetic Heterogeneous Information Network Generation for Graph Learning and Explanation

Ming-Yi Hong,Yi-Hsiang Huang, Shao-En Lin, You-Chen Teng,Chih-Yu Wang,Che Lin

CoRR (2024)

Cited0Views0Bibtex

FincGAN: A Gan Framework of Imbalanced Node Classification on Heterogeneous Graph Neural Network

Hung Chun Hsu, Ting-Le Lin, Bo-Jun Wu, Ming-Yi Hong,Che Lin,Chih-Yu Wang

IEEE International Conference on Acoustics, Speech, and Signal Processingpp.5750-5754, (2024)

Cited0Views0EIWOSBibtex

A BCLC Staging System for Hepatocellular Carcinoma Using Swin Transformer and CT Imaging

Shun-Cheng Chang,Pochuang Wang,Weichung Wang,Tung-Hung Su, Jia-Horng Kao,Che Lin

Annual International Conference of the IEEE Engineering in Medicine and Biology Society IEEE Engineering in Medicine and Biology Society Annual International Conference (2024): 1-4

Cited0Views0EIWOSBibtex

Learning from Fragmentary Multivariate Time Series Data with Scalable Numerical Embedding

Chun-Kai Huang, Yi-Hsien Hsieh,Che Lin, Tung-Hung Su, JH Kao

ICLR 2024 (2024)

Cited0Views0Bibtex

Predicting Microsatellite Instability from Histology Images with Dilated Neighborhood Attention Transformer in Colorectal Cancer

Yun-Chi Chen, Tung Chao, Wimaya Nitya Phandita, Tzu-Yu Sun, Huai-Zhi Wang, Yi-Hsien Hsieh, Le-Yin Hsu,Che Lin

IEEE International Conference on Bioinformatics and Bioengineeringpp.1-5, (2024)

Cited0Views0EIWOSBibtex

Exploiting Common Patterns in Diverse Cancer Types Via Multi-Task Learning

Bo-Run Wu, Sofia Ormazabal Arriagada, Te-Cheng Hsu, Tsung-Wei Lin,Che Lin

NPJ PRECISION ONCOLOGYno. 1 (2024)

Cited0Views0WOSNATUREBibtex

Deep STI: Deep Stochastic Time-series Imputation on Electronic Health Records

Ming-Che Cheng, Yi-Hsien Hsieh, Te-Cheng Hsu,Tung-Hung Su,Che Lin

Annual International Conference of the IEEE Engineering in Medicine and Biology Societypp.1-4, (2024)

Cited0Views0EIWOSBibtex

Signatures of Lower Respiratory Tract Microbiome in Children with Severe Community-Acquired Pneumonia Using Shotgun Metagenomic Sequencing

Ting-Yu Yen,Ching Hsu, Ni-Chung Lee,Chao-Szu Wu, Hsin Wang,Kuan-Yi Lee, Chia-Ray Lin,Chun-Yi Lu, Mo-Li Tsai, Tzu-Yu Liu,Che Lin,Chien-Yu Chen,Luan-Yin Chang,Feipei Lai,Li-Min Huang

Journal of Microbiology, Immunology and Infection (2024)

Cited0Views0WOSBibtex

Scalable Numerical Embeddings for Multivariate Time Series: Enhancing Healthcare Data Representation Learning

Chun-Kai Huang, Yi-Hsien Hsieh, Ta-Jung Chien, Li-Cheng Chien, Shao-Hua Sun,Tung-Hung Su, Jia-Horng Kao,Che Lin

CoRR (2024)

Cited0Views0EIBibtex

Author Statistics

Co-Author

Co-Institution

D-Core

合作者
学生
导师

No result temporarily, you can search similar Scholar with the same research interest

Data Disclaimer

The page data are from open Internet sources, cooperative publishers and automatic analysis results through AI technology. We do not make any commitments and guarantees for the validity, accuracy, correctness, reliability, completeness and timeliness of the page data. If you have any questions, please contact us by email: report@aminer.cn

Assisstant professor

Papers共 113 篇Author StatisticsCo-AuthorSimilar Experts