About Me
This is Leeje Jang, and I'm a 2nd-year PhD student at Computer Science in University of Minnesota-Twin cities. I'm a member of Knowledge Computing Lab , advised by Prof. Yao-Yi Chiang. My research focuses on Computer Vision with Machine Learning which enables real-time interaction between people and machines, especially in machine learning model based on Spatial data.
Education
B.S. in Computer Science & Engineering :
Ewha Womans University, Seoul, South Korea (2018.03-2022.08)
- Major in Computer Science and Engineering
Ph.D in Computer Science :
University of Minnesota-Twin Cities, United States (2022.09~)
Research Experience
Lab internship (2020.06-2021.06) - Undergraduate Intern
Human Computer Interaction Lab in Ewha Womans University
Advised by Prof. Uran Oh
Researcher (2022.09~) - Ph.D Student
Knowledge-Computing Lab in University of Minnesota-Twin Cities
Advised by Prof. Yao-Yi Chiang
Scholarship & Awards
- Graduation Project Contest (2020.06-2021.06) | Ewha Womans University - 3rd place- Academic Activity Support Scholarship(2021.06) | Ewha Womans University
- The 3rd Future Finance A.I Challenge (2021.08-2021.10) | Financial Supervisory Service of Korea , Ewha Womans University and KB bank - 1st place
- Travel Grants (2022.11) | ACM SIGSPATIAL 2022
Presentation
Jang, L.,Lin,Y., Chiang, Y.-Y. (March 2023) Automatic Language Detection on Historical Maps , AAG GeoAI and Deep Learning Symposium, Denver, USVolunteer
- Student Volunteer | ACM SIGSPATIAL 2022Skills & Interests
Programming
-Python, C, (advanced) | Java (intermediate) | HTML,PHP, CSS,SQL(basic)
Interests
- Computer Vision | Machine Learning | Natural Language Processing
Work Experience - Artificial Intelligence
Artificial Intelligence Project 1 (2020.06~2021.06) | Developer
[Graduation project] Real-time posture correction web: 3rd place on Graduation Project Contest
Role:
Computer Vision
-Keypoint detection, Object detection Openpose model (python)
-Fine tuning YOLOv3 model to solve the problem of real-time detection with Openpose
Data Science
-Data collection and preprocessing (python,YOLOMark,opencv)
-Data augmentation (python,Keras,opencv)
-Implement a posture detection algorithm through those model(python)
Presenter of Final Graduate project presentation
Artificial Intelligence Project 2 (2021.07) | Developer
[Silicon Valley Internship Program] A mobile app that measures the size of a user's ring size with image
Role:
Computer Vision
- Semantic segmentation approach with fine-tuning DeeplabV3 model (python,tensorflow,opencv)
Data Science
- Dataset : Hand gesture data (Kaggle)
- Data preprocessing (python,opencv)
Final presenter of the project
Artificial Intelligence Project 3 (2021.08-2021.10) | Developer
[The 3rd Future Finance A.I. Challenge] Real-time messenger phishing detection service : 1st place on the contest
Role:
Natural Language Processing
-Fine tuning KB-ALBERT model (python,transformer,pytorch,pandas ,mxnet)
-Fine tuning KoBERT model (python,transformer,pytorch,pandas,mxnet,Scikit-learn)
Data Science
-Data collection and preprocessing (python, sentencepiece, huggingface tokenizer)
-Back translation data augmentation (connecting to the translator through crawling.) (python,Selenium,BeautifulSoup)
Final presenter of the project