Yinlin Chen, Ph.D.

Assistant Director & Assistant Professor
Center for Digital Research & Scholarship


Biography: Dr. Yinlin Chen earned his B.S. and M.S. degrees in Computer Science from National Tsing Hua University, Taiwan, and his Ph.D. in Computer Science & Application from Virginia Tech. His research interests include Digital Libraries, Machine Learning, Deep Learning, Cloud Computing, Natural Language Processing, and Information Retrieval. Passionate about cloud-based applications using AWS and GCP, Dr. Chen has taught Introduction to Artificial Intelligence and Database Management Systems courses. He has served on program committees and reviewers for conferences such as CIKM, SIGIR, JCDL, iPRES, ICADL, TPDL, and DLF Forum. Additionally, he has been a Fedora Repository committer.

2023 - present - Affiliate Faculty, Department of Computer Science, Virginia Tech
2022 - present - Assistant Director, Center for Digital Research & Scholarship, University Libraries, Virginia Tech
2020 - present - Assistant Professor, University Libraries, Virginia Tech
2020 - present - Instructor, Department of Computer Science, Virginia Tech
2019 - 2022 - Digital Library Architect, University Libraries, Virginia Tech
2014 - 2019 - Software Engineer, University Libraries, Virginia Tech

I am seeking self-motivated undergraduates, master's, and Ph.D. students to join me in cooperative and interdisciplinary research projects. Our areas of focus include AI, machine learning, natural language processing, computer vision, and large language models. If you are interested in working with me, please feel free to contact me.

News
  • Congratulations to Chongyu He for successfully defending his MS thesis, "Deep Learning Approach for Cell Nuclear Pore Detection and Quantification over High Resolution 3D Data," at Virginia Tech on December 7, 2023
  • Workshop at Fantastic Futures Annual International Conference, Vancouver, Canada, November 15-17, 2023
  • Student project demostration at Virginia Tech Science Festival 2023, November 11, 2023
  • Tutorial at DCMI Annual Conference, Daegu, South Korea, November 6-9, 2023
  • IMLS National Leadership Grants (LG-254883-OLS-23) Curating Very Large Biomedical Image Datasets For Librarian-In-The-Loop Deep Learning, September, 2023
  • Virginia Tech Libraries Collaborative Research Grant Awardee: Leveraging Large Language Models to Understand the Financial Behavior of Women and Minority Groups, August, 2023
  • Virginia Tech Libraries Collaborative Research Grant Awardee: Behind Density Lines: Machine Learning and Citizen Scientists in Quantifying Scanning Electron Microscopy Images, August, 2023
  • Text and Data Mining Community of Practice - ChatGPT and its Best Practices, August 10, 2023
  • Presentation at LD4 Conference on Linked Data, July 10-14, 2023
  • Workshop at on Code4Lib Annual Conference, Princeton, New Jersey, March 14-17 2023
  • AWS Academy Educator, January, 2023
  • AWS Learning: Serverless, January, 2023
  • previous...