Publications

저널 논문

• [1]
  Taesin Ha, Dongseon Lee, Youngchun Kwon, Min Sik Park, Sangyoon Lee, Jaejun Jang, Byungkwon Choi, Hyunjeong Jeon, Jeonghun Kim, Hyundo Choi, Hyung-Tae Seo, Wonje Choi, Wooram Hong, Young Jin Park, Junwon Jang, Joonkee Cho, Bosung Kim, Hyukju Kwon, Gahee Kim, Won Seok Oh, Jin Woo Kim, Joonhyuk Choi, Minsik Min, Aram Jeon, Yongsik Jung, Eunji Kim, Hyosug Lee, Youn-Suk Choi* (2023), "AI-driven robotic chemist for autonomous synthesis of organic molecules." Science Advances 9(44): eadj0461.
• [2]
  Eunji Kim*, Jinwon An, Hyun-Chang Cho, Sungzoon Cho, Byeongeon Lee (2023), "A sensor data mining process for identifying root causes associated with low yield in semiconductor manufacturing." Data Technologies and Applications 57(3): 397-417.
• [3]
  Min Sik Park*, Dongseon Lee, Young Chun Kwon, Eunji Kim, and Youn-Suk Choi (2021), "Data undersampling models for the efficient rule-based retrosynthetic planning." Physical Chemistry Chemical Physics 23: 26510-26518.
• [4]
  Eunji Kim, Sungzoon Cho* (2021), "Exposing Fake Faces Through Deep Neural Networks Combining Content and Trace Feature Extractors." IEEE Access, 9: 123493-123503.
• [5]
  Eunji Kim, Dongseon Lee*, Youngchun Kwon, Min Sik Park, and Youn-Suk Choi* (2021), "Valid, Plausible, and Diverse Retrosynthesis Using Tied Two-Way Transformers with Latent Variables." Journal of Chemical Information and Modeling 61(1): 123–133.
• [6]
  Eunji Kim* (2020), "Interpretable and Accurate Convolutional Neural Networks for Human Activity Recognition." IEEE Transactions on Industrial Informatics 16(11): 7190-7198.
• [7]
  Eunji Kim, Sungzoon Cho*, Byeongeon Lee, Myoungsu Cho (2019), "Fault Detection and Diagnosis Using Self-Attentive Convolutional Neural Networks for Variable-length Sensor Data in Semiconductor Manufacturing." IEEE Transactions on Semiconductor Manufacturing 32(3): 302-309.
• [8]
  Eunji Kim, Jehyuk Lee, Hunsik Shin, Hoseong Yang, Sungzoon Cho*, Seung-kwan Nam, Youngmi Song, Jeong-a Yoon, Jong-il Kim (2019), "Champion-challenger analysis for credit card fraud detection: Hybrid ensemble and deep learning." Expert Systems with Applications 128: 214-224.
• [9]
  Seokho Kang, Eunji Kim, Jaewoong Shim, Wonsang Chang, Sungzoon Cho* (2018), "Product failure prediction with missing data." International Journal of Production Research 56(14): 4849-4859.
• [10]
  Jiwon Yang, Eunji Kim, Minhoe Hur, Sungzoon Cho*, Myungbin Han, Iksang Seo (2018), "Knowledge extraction and visualization of digital design process." Expert Systems with Applications 92: 206-215.
• [11]
  Seokho Kang, Eunji Kim, Jaewoong Shim, Sungzoon Cho*, Wonsang Chang, Junhwan Kim (2017), "Mining the relationship between production and customer service data for failure analysis of industrial products." Computers & Industrial Engineering 106: 137-146.

학술대회

• [1]
  김은지, 조성준*, 이병언, 조명수, "가변길이의 센서 데이터를 활용한 Self-attentive 합성곱 신경망 기반 반도체 불량 탐지 및 진단", 2019 대한산업공학회 춘계공동학술대회, 2019.
• [2]
  김은지, 조성준*, "콘텐츠 피쳐 추출기와 자취 피쳐 추출기를 결합한 가짜 얼굴 탐지 모델", 한국BI데이터마이닝학회 2018 추계학술대회, 2018.
• [3]
  김은지, 김태욱, 문지형, 조성준*, 허민회, "딥러닝 기반 개인별 주행 목적지 예측", 2018 대한산업공학회 춘계공동학술대회, 2018.
• [4]
  Eunji Kim, Jehyuk Lee, Hunsik Shin, Hoseong Yang, Sungzoon Cho*, Seung-kwan Nam, Young Mi Song, Jeong A Yoon, Jong Il Kim, Wooho Jung, Kyungmo La, Kangshin Ko, "Multiple Densely Connected Neural Networks for Credit Card Fraud Detection", Women in Machine Learning (WiML), December, 2017.
• [5]
  김은지, 조성준*, "Interpretable Variable-selectable Convolutional Filters for Multivariate Time-series Classification", 한국BI데이터마이닝학회 2017 추계학술대회, 2017.
• [6]
  김은지, 이제혁, 신훈식, 양호성, 조성준*, 남승관, 송영미, 윤정아, 김종일, 정우호, 라경모, 고강신, "딥러닝을 이용한 신용카드 사기 탐지", 2017 대한산업공학회 춘계공동학술대회, 2017.
• [7]
  Eunji Kim, Hyun-Chang Cho, Jinwon An, Sungzoon Cho*, Byeongeon Lee, Kyungchun Lim, Taehoon Kim, "Sequential Root Cause Identification in High Dimensional Time-series Sensor Data", The 8th Asian Conference on Machine Learning, November, 2016.
• [8]
  Eunji Kim, Hyunchang Cho, Sungzoon Cho*, "Automatic sentiment words extraction from online reviews for product comparison", 2015 INFORMS Annual Meeting, November, 2015.
• [9]
  강석호, 김은지, 심재웅, 조성준*, "AS 서비스 데이터를 활용한 제품 불량 원인 도출", 한국BI데이터마이닝학회 2015 추계학술대회, 2015.
• [10]
  김은지, 조현창, 조성준*, "소비자가 원하는 주요 기능 및 특징 파악을 위한 온라인 리뷰 내 등장단어의 제품군 별 정서 분석", 2015 대한산업공학회 춘계공동학술대회, 2015.
• [11]
  심재웅, 김은지, 강석호, 조성준*, "Hybrid approach with centroid based classification and SVM for multi-class text classification", 한국BI데이터마이닝학회 2014 추계학술대회, 2014.

특허

• [1]
  이동선, 하태신, 최윤석, 김정훈, 오원석, 전현정, 최병권, 권영천, 권혁주, 김가희, 김보성, 김은지, 민민식, 박민식, 박영진, 박진우, 서형태, 이상윤, 장재준, 장준원, 전아람, 정용식, 조준기, 최원제, 최현도, 허달, 홍우람 (2021), "물질 합성 장치 및 이의 동작 방법 (Material synthesis apparatus and method of operating the same)"

  • KR Patent, Application No. KR10-2021-0041357.
  • US Patent, Application No. US17/507,401.
• [2]
  김은지, 권영천, 박민식, 이동선, 최윤석 (2021), "뉴럴 네트워크를 이용하여 표적 생성물을 합성하는 장치 및 방법 (Method and apparatus for synthesizing target products by using neural networks)"

  • KR Patent, Application No. KR10-2021-0017869.
  • US Patent, Application No. US17/372,808.
  • EP Patent, Application No. EP21186592.8A.
  • JP Patent, Application No. JP2021122539A.
  • CP Patent, Application No. CN202110846347.8A.

저역서

• [1]
  Kenneth Reitz and Tanya Schlusser. The Hitchhiker's Guide to Python: Best Practices for Development. Translation to Korean ("파이썬을 여행하는 히치하이커를 위한 안내서: 모범 사례와 실용 라이브러리로 더 파이썬답게!". 도서출판 인사이트. 2017. ISBN: 9788966264070)