林澤教授的個人資料 - Profile of Che Lin

林澤 Che Lin

國立臺灣大學電機工程學系 教授
國立臺灣大學電信工程學研究所 教授
國立臺灣大學醫學系 教授
國立臺灣大學尖端生醫計算及影像研究中心 教授
國立臺灣大學生物技術研究中心 研究員
國立臺灣大學智慧醫療學分學程 主任
國立臺灣大學電機系計算機中心 主任
IEEE 資深會員
Professor, Department of Electrical Engineering, National Taiwan University
Professor, Graduate Institute of Communication Engineering
Professor, School of Medicine
Professor, Center for Advanced Computing and Imaging in Biomedicine
Professor, Center for Biotechnology
Director, Smart Medicine and Health Informatics Program
Director, Computer and Information Networking Center of Electrical Engineering
Senior Member, IEEE

主要研究領域:

深度學習、資料科學、智慧醫療、金融科技、最佳化理論、系統生物學

Major Research Areas:

Deep Learning, Data Science, Medical AI, Optimization Theory, FinTech, and Systems Biology.

研究領域摘要:

請參見實驗室網頁: https://www.idssp.ee.ntu.edu.tw

Research Summary:

See my lab webpage for details: https://www.idssp.ee.ntu.edu.tw

Photo of Che Lin

代表性著作 Selected Publication

  1. Te-Cheng Hsu, Che Lin*, “Learning from Small Medical Data - Robust Semi-supervised Cancer Prognosis Classifier with Bayesian Variational Autoencoder,” Bioinformatics Advances, vol. 3, issue 1, Jan. 2023
  2. Y. -C. Wu, C. Lin*, and T. Q. S. Quek, “A Robust Distributed Hierarchical Online Learning Approach for Dynamic MEC Networks,” IEEE Journal on Selected Areas in Communications, vol. 40, no. 2, 641, Feb. 2022
  3. Sagaya Louis Gracy Thomas, Che Lin*, “Top-K ranking of drug-target interactions based on transfer learning and listwise loss,” International Journal of Electrical Engineering (IJEE), vol. 29, no. 1, 13, Feb. 2022
  4. Sagaya Louis Gracy Thomas and Che Lin*, “Top-k Ranking of Drug Target Interactions based on Transfer Learning and Listwise Loss,” Taiwan telecommunications Annual Symposium, Taipei, Taiwan, Jan. 2022
  5. Te-Cheng Hsu*, and Che Lin, “Training with Small Medical Data: Robust Bayesian Neural Networks for Colon Cancer Overall Survival Prediction,” 2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), 2030, Guadalajara, Mexico, Nov. 2021
  6. Li-Hsin Cheng, Te-Cheng Hsu, Che Lin*, “Integrating ensemble systems biology feature selection and bimodal deep neural network for breast cancer prognosis prediction,” Scientific Reports, Sci Rep 11, 14914, Jul. 2021
  7. Y.-C Wu, T. Q. Dinh, Y. Fu, C. Lin* and T. Q. S. Quek, “A Hybrid DQN and Optimization Approach for Strategy and Resource Allocation in MEC Networks,” IEEE Transactions on Wireless Communications, vol. 20, no. 7, 4282, Jul. 2021
  8. Wei-Hsin Lin, Yi-Wen Chang, Min-Xiang Hong, Te-Cheng Hsu, Ko-Chuan Lee, Che Lin*, and Jia-Lin Lee*, “STAT3 phosphorylation at Ser727 and Tyr705 differentially regulates the EMT–MET switch and cancer metastasis,” Oncogene, ONC-2020-01309R, 40, 791, Dec. 2020
  9. Semon Wu, I-Chieh Tseng, Wen-Cheng Huang, Cheng-Wen Su, Yu-Heng Lai, Che Lin, Alan Yueh-Luen Lee, Chan-Yen Kuo, Li-Yu Su, Ming-Cheng Lee, Te-Cheng Hsu, Chun-Hsien Yu, “Establishment of an Immunocompetent Metastasis Rat Model with Hepatocyte Cancer Stem Cells,” Cancers, 12(12), 3721, Dec. 2020
  10. Yu-Heng Lai, Wei-Ning Chen, Te-Cheng Hsu, Che Lin*, Yu Tsao, Semon Wu, “Overall survival prediction of non-small cell lung cancer by integrating microarray and clinical data with deep learning,” Scientific Reports, Sci Rep 10, 4679, Mar. 2020
  11. C. Lin*, C.-N. Lin, Y.-C. Wang, F.-Y. Liu, Y.-W. Chien, Y.-J. Chuang, C.-Y. Lan, W.-P. Hsieh, B.-S. Chen, “Robustness analysis on interspecies interaction network for iron and glucose competition between Candida albicans and zebrafish during infection,” BMC Systems Biology, 8(Suppl 5):S6, Dec. 2014