Leeje Jang | Computer Science, University of Minnesota

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 (Google Scholar)

TiCLS: Tightly Coupled Language Text Spotting

L. Jang, Y. Lin, Y.-Y. Chiang, J. Weinman.
Proceedings of the 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 the IEEE/CVF Winter Conference on Applications of Computer Vision Workshops (WACVW), pp. 415–424, 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 the 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), pp. 15–19, 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, J. Perret, N. Abadie, B. Duménieu, T.-C. Chan, H.-M. Liao, W.-R. Su, M. Zou, T. Dai, R. Petitpierre, B. Vaienti, F. Kaplan, I. di Lenardo, Y. Baek, M. Hentschel, Y. Nakagome, I. Shuta, J. Lee, C. Choi.
Proceedings of the International Conference on Document Analysis and Recognition (ICDAR), pp. 568–585, 2025

DIGMAPPER: A Modular System for Automated Geologic Map Digitization

W. Duan, Y.-Y. Chiang, T. Chen, M. P. Gerlek, L. Jang, S. Kirsanova, C. A. Knoblock, F. Lin, Y. Lin, Z. Li, S. N. Minton.
Proceedings of the 33rd ACM International Conference on Advances in Geographic Information Systems, pp. 717–728, 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, pp. 29–35, 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 International Conference on Advances in Geographic Information Systems, Article 35, pp. 1–4, 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