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Leeje Jang

Ph.D. Student in Computer Science
University of Minnesota – Twin Cities
Knowledge Computing Lab (Advisor: Prof. Yao-Yi Chiang)
Resume/CV jang0124@umn.edu LinkedIn Google Scholar Knowledge Computing Lab

About

Hi all! This is Leeje. I am a Ph.D. student in Computer Science at the University of Minnesota, advised by Prof. Yao-Yi Chiang in the Knowledge Computing Lab. My research spans computer vision, natural language processing, and multimodal learning, and I am particularly motivated by building machine learning models that address the needs of real-world domains involving geospatial data and the medical domain.

Research Interests

Computer Vision Vision-Language Models Natural Language Processing Machine Learning Multimodal Learning Spatial Data Analysis Geospatial AI Medical AI

Publications

View All Publications on Google Scholar
TiCLS: Tightly Coupled Language Text Spotting
L. Jang, Y. Lin, Y.Y. Chiang, J. Weinman.
Proceedings of IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2026
OMNI-Dent: Towards an Accessible and Explainable AI Framework for Automated Dental Diagnosis
L. Jang, Y.-Y. Chiang, A. M. Hastings, P. Pungchanchaikul, M. B. Lucas, E. C. Schultz, J. P. Louie, M. Estai, W.-C. Wang, R. H. L. Ip, B. Huang.
Proceedings of IEEE/CVF Winter Conference on Applications of Computer Vision Workshops (WACVW), 2026
FRIEDA: Benchmarking Multi-Step Cartographic Reasoning in Vision-Language Models
J. Pyo, Y. Jiao, D. Jung, Z. Li, L. Jang, S. Kirsanova, J. Kim, Y. Lin, Q. Liu, J. Xie, H. Askari, N. Xu, M. Chen, Y.-Y. Chiang
Proceedings of International Conference on Learning Representations (ICLR), 2026
StreetLens: Enabling Human-Centered AI Agents for Neighborhood Assessment from Street View Imagery
J. Kim, L. Jang, Y.Y. Chiang, G. Wang, M.C. Pasco
Proceedings of the 1st ACM SIGSPATIAL International Workshop on Human-Centered Geospatial Computing (GeoHCC), 2025
ICDAR 2025 competition on historical map text detection, recognition, and linking
Y. Lin, S. Tual, Z. Li, L. Jang, Y.Y. Chiang, J. Weinman, J. Chazalon, E. Carlinet, ...
International Conference on Document Analysis and Recognition (ICDAR), pp. 568–585, 2025
DIGMAPPER: A Modular System for Automated Geologic Map Digitization
W. Duan, M.P. Gerlek, S.N. Minton, C.A. Knoblock, F. Lin, T. Chen, L. Jang, ...
Proceedings of the 33rd ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, 2025
Enabling Semantic-Rich Location Search on Street View Imagery Using Multilingual POI Data
L. Jang, Y.Y. Chiang
Proceedings of the 3rd ACM SIGSPATIAL International Workshop on Searching and Mining Large Collections of Geospatial Data, 2024
The mapKurator system: a complete pipeline for extracting and linking text from historical maps
J. Kim, Z. Li, Y. Lin, M. Namgung, L. Jang, Y.Y. Chiang
Proceedings of the 31st ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, 2023

Education

Ph.D. in Computer Science
University of Minnesota · 2022 – Present
B.S. in Computer Science & Engineering
Ewha Womans University · 2018 – 2022

Skills

Programming & Tools

PythonC/C++MATLAB GitDockerCUDAUNITY

Machine Learning & Domains

PyTorchTensorFlowComputer Vision NLPScene Text SpottingMultimodal Learning Vision–Language ModelsGenerative AI Geospatial AI