Data Intelligence Lab

@ Seoul National University of Science and Technology

Our lab investigates how to design an intelligence system based on learning the underlying patterns or rules in large-scale data.

We study data mining and machine learning algorithms to learn useful knowledge from various types of data including but not limited to image, text, and time-series data. Also, we find a way to create data-driven intelligence systems for manufacturing, service, and healthcare industries.

We are looking for passionate students who are interested in machine learning and deep learning. If you are interested in joining our lab, send an e-mail with your curriculum vitae, research statement, and transcript to shwang [at] seoultech.ac.kr.

Research Area

Developing ML/DL Algorithms

  • Confidence calibration and uncertainty quantification of deep neural networks

  • Unknown unknowns detection: misclassification/out-of-distribution detection

  • Domain generalization by incorporating structural priors

ML/DL Applications

  • Medical image analysis with deep learning

  • Manufacturing system

  • Recommender system

NEWS


    • (2020.11) [DC] "영역 분할 모델의 성능 향상을 위한 대조적 손실함수의 활용" with Geongyu Lee was presented at 대한산업공학회 추계학술대회.

    • (2020.09) [IC] "A Comparison of the Performance of Deep Learning Models for Electric Load Forecasting" with Jiin Koo and Seungmoo Yang was presented at ICESI 2020.

    • (2020.09) [Welcome] Jihyo Kim joined our lab as a Ph.D. student.

    • (2020.09) [Welcome] Jun Ho Bae and Yejin Lee joined our lab as a M.S. student.

    • (2020.07) [Welcome] Seungwon Seo, Sungchul Kim, and Sungrea Hong joined our lab as an intern.

    • (2020.06) [IC] "Confidence-Aware Learning for Deep Neural Networks" with Jooyoung Moon, Jihyo Kim, and Younghak Shin was accepted to ICML 2020.

    • (2020.06) [IJ] "Additive Ensemble Neural Networks" with Minyoung Park, Seungyeon Lee, and Dohyun Kim was published in IEEE Access.

    • (2020.06) [DJ] "BERT-based Classification Model for Korean Documents" with Dohyun Kim was published in Journal of Society for e-Business Studies

    • (2020.04) [IJ] "A New Splitting Criterion for Better Interpretable Trees" with Hyeon Gyu Yeo and Jung-Sik Hong was published in IEEE Access.

    • (2020.03) [Welcome] Jiin Koo joined our lab as a M.S. student.

    • (2019.11) [DC] "해부학적 구조를 반영한 흉부 X-ray 영상에서의 폐 영역 분할 모델" with Jaemoon Hwang was presented at 대한산업공학회 추계학술대회.

    • (2019.11) [DC] "심층 신경망의 과한 확신을 방지하는 새로운 정규화 방법" with Jooyoung Moon and Jihyo Kim was presented at 대한산업공학회 추계학술대회.

    • (2019.09) [Welcome] Chanhee Choi and Seungmoo Yang joined our lab as a M.S. student.

    • (2019.07) [Welcome] Jinsung Jeon, Sanghyeon Kim, Jiin Koo, Sangwoo Lee, and Yejin Lee joined our lab as an intern.

    • (2019.03) [Welcome] Geongyu Lee joined our lab as a M.S. student.

    • (2018.09) [Welcome] Jihyo Kim joined our lab as a M.S. student.

    • (2018.03) [Welcome] Jaemoon Hwang and Jooyoung Moon joined our lab as a M.S. student.