Publications

Journals

• [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.

Conferences

• [1]
  Eunji Kim, Sungzoon Cho*, Byeongeon Lee, Myoungsu Cho, "Fault Detection and Diagnosis Using Self-Attentive Convolutional Neural Networks for Variable-length Sensor Data in Semiconductor Manufacturing", 2019 Spring Conference of Korean Institute of Industrial Engineers (KIIE), April, 2019.
• [2]
  Eunji Kim, Sungzoon Cho*, "Fake face detection model combining content and trace feature extractors", 2018 Fall Conference of Korea Business Intelligence Data Mining Society (KDMS), November, 2018.
• [3]
  Eunji Kim, Taewook Kim, Jihyung Moon, Sungzoon Cho*, Minhoe Hur, "Personalized driving destination prediction based on deep learning", 2018 Spring Conference of Korean Institute of Industrial Engineers (KIIE), April, 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]
  Eunji Kim, Sungzoon Cho*, "Interpretable Variable-selectable Convolutional Filters for Multivariate Time-series Classifiation", 2017 Fall Conference of Korea Business Intelligence Data Mining Society (KDMS), November, 2017.
• [6]
  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, "Detecting Credit Card Frauds with Deep learning", 2017 Spring Conference of Korean Institute of Industrial Engineers (KIIE), April, 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]
  Seokho Kang, Eunji Kim, Jaewoong Shim, Sungzoon Cho*, "Identifying the cause of product defects using after-sales service data", 2015 Fall Conference of Korea Business Intelligence Data Mining Society (KDMS), November, 2015.
• [10]
  Eunji Kim, Hyun-chang Cho, Sungzoon Cho*, "Online Review Sentiment Analysis for Finding Features and Aspects of Products", 2015 Spring Conference of Korean Institute of Industrial Engineers (KIIE), April, 2015.
• [11]
  Jaewoong Shim, Eunji Kim, Seokho Kang, Sungzoon Cho*, "Hybrid approach with centroid based classification and SVM for multi-class text classification", 2014 Fall Conference of Korea Business Intelligence Data Mining Society (KDMS), November, 2014.

Patents

• [1]
  Dongseon Lee, Taesin Ha, Younsuk Choi, Jeonghun Kim, Wonseok Oh, Hyunjeong Jeon, ByungKwon Choi, Youngchun Kwon, Hyukju Kwon, Gahee Kim, Bosung Kim, Eunji Kim, Minsik Min, Minsik Park, Youngjin Park, Jinwoo Park, Hyungtae Seo, Sangyoon Lee, Jaejun Chang, Junwon Jang, Aram Jeon, Yongsik Jung, Joonkee Cho, Wonje Choi, Hyundo Choi, Dal Heo, Wooram Hong (2021), "Material synthesis apparatus and method of operating the same (물질 합성 장치 및 이의 동작 방법)"

  • KR Patent, Application No. KR10-2021-0041357.
  • US Patent, Application No. US17/507,401.
• [2]
  Eunji Kim, Youngchun Kwon, Minsik Park, Dongseon Lee, Younsuk Choi (2021), "Method and apparatus for synthesizing target products by using neural networks (뉴럴 네트워크를 이용하여 표적 생성물을 합성하는 장치 및 방법)"

  • 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.

Books

• [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)