Yinlin Chen, Ph.D.

_{Assistant Director & Assistant Professor
Center for Digital Research & Scholarship}

<sub>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.</sub>

News

Workshop at ACM/IEEE-CS Joint Conference on Digital Libraries (JCDL 2024), Hong Kong, China, December 16-20, 2024 Presentation at IEEE BigData 2024, Washington, DC, December 15-18, 2024 Congratulations to Pradyumna Upendra Dasu for successfully defending his MS thesis, "Topic Modeling for Heterogeneous Digital Libraries: Tailored Approaches Using Large Language Models," at Virginia Tech on December 13, 2024 Presentation at 27th International Symposium on Electronic Theses and Dissertations (ETD 2024), Livingstone, Zambia, November 4-6, 2024 Presentation at Access 2024, Montréal, Québec, October 21-23, 2024 Presentation at 24 Hours of Global IT event, August 28, 2024 Awarded: IMLS Laura Bush 21st Century Librarian Program (RE-256655-OLS-24) LIBRAI: Liberating Libraries through Generative Artificial Intelligence Incubator Program, August, 2024 (PI) Panelist at 2024 ALA Annual Conference & Exhibition, San Diego, CA, June 27-July 2, 2024 Presentation at Digital Universities US 2024, May 6-8, 2024 Presentation at CNI Spring 2024 Membership Meeting, March 25-26, 2024 Honored to be invited to the 2024 VALLA Cohort, Harrisonburg, VA, March 11-13, 2024 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 Awarded: IMLS National Leadership Grants (LG-254883-OLS-23) Curating Very Large Biomedical Image Datasets For Librarian-In-The-Loop Deep Learning, September, 2023 (Co-PI) Awarded: IMLS Laura Bush 21st Century Librarian Program (RE-254915-OLS-23) Joint Professional Development Institute To Cultivate Collaborative Library Scholars, September, 2023 (Co-PI) 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 previous...