Data Intelligence Lab

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

• • (2021.10) [IJ] "Supervised Contrastive Embedding for Medical Image Segmentation" with Sangwoo Lee*, Yejin Lee*, and Geongyu Lee was published in IEEE Access. (*equal contribution)

  • (2021.09) [IJ] "Similarity-Based Deep Neural Networks" with Seungyeon Lee, Eunji Jo, Gyeong Bok Jung, Dohyun Kim was published in International Journal of Fuzzy Logic and Intelligent Systems.

  • (2021.09) [Welcome] Carlos Vintimilla, Soojin Lee, and joined our lab as a M.S. student.

  • (2021.09) [Welcome] Yongtaek Gong joined our lab as a Ph.D. student.

  • (2021.07) [IC] "Self-Knowledge Distillation with Progressive Refinement of Targets" with Kyungyul Kim, ByeongMoon Ji, and Doyoung Yoon was accepted to ICCV 2021 as an oral presentation.

  • (2021.06) [DC] "의료 영상 분할에서의 도메인 일반화를 위한 형태 정보의 활용" with Jun Ho Bae was presented at 대한산업공학회 춘계공동학술대회.

  • (2021.06) [DC] "딥러닝의 예측 강건성 측면에서의 모델 경량화 효과 연구" with Chanhee Choi was presented at 대한산업공학회 춘계공동학술대회.

  • (2021.06) [DC] "특정 도메인을 위한 질의응답 시스템의 불확실성 회피 능력에 대한 고찰" with Seungmoo Yang was presented at 대한산업공학회 춘계공동학술대회.

  • (2021.06) [DC] "Mixup을 활용한 이상 입력 탐지 모델의 불확실성 추정 능력 개선" with Jiin Koo was presented at 대한산업공학회 춘계공동학술대회.

  • (2021.05) [IJ] "A Unified Defect Pattern Analysis of Wafer Maps Using Density-Based Clustering" with Jaehoon Koo was published in IEEE Access.

  • (2021.05) [IJ] "Exploiting Global Structure Information to Improve Medical Image Segmentation" with Jaemoon Hwang was published in Sensors.

  • (2021.04) [DJ] "Improving Domain Generalization Performance for Medical Image Segmentation by Self-Supervised Learning" with Yejin Lee and Sangwoo Lee was published in Journal of the Korean Institute of Industrial Engineers.

  • (2021.03) [Welcome] Sangwoo Lee and Sungchul Kim joined our lab as a M.S. student.

  • (2021.02) [Welcome] DaeJeong Mun joined our lab as an intern.

  • (2021.02) [IJ] "A New Smart Smudge Attack Using CNN" with Hansub Shin, Sungyong Sim, Hyukyoon Kwon, and Younho Lee was published in International Journal of Information Security.

  • (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. (*equal contribution)

  • (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.