Saeyoung Choi, Junghye Lee, "Pivoting, not Leaping: Atypical Combinations with Anchored Exploration", Proceedings of ICSSI 2026, Boulder, CO, USA, June 29-July 1, 2026.

Donghyun Kim, Junghye Lee, "Firm Level Innovation Risk Index: A deep learning approach", Proceedings of R&D Management Workshop 2026, Seoul, Korea, May 29-30, 2026.

Yea Jin Kim, Junghye Lee, "Evaluating National R&D system Efficiency through AI-Based Knowledge Transfer Extraction: Evidence from Paper-Patent Pairs", Proceedings of R&D Management Workshop 2026, Seoul, Korea, May 29-30, 2026.

Saeyoung Choi, Junghye Lee, "Who Survives the Scientific Pivot? Long-Term Consequences of Scientific Pivots", Proceedings of R&D Management Workshop 2026, Seoul, Korea, May 29-30, 2026.

Suhyeon Kim, Hangyeol Kim, Eun-Sol Lee, Junghye Lee, "Risk Score-Embedded Deep Representation Learning for BA Estimation", Proceedings of BIEN 2021 conference, Daejeon, Korea, August 18-20, 2021.

Junghye Lee, Junyoung Jeong, Chi-Hyuck Jun, "Markov Blanket Feature Selection in Mixed Data", Proceedings of APIEMS 2015 conference, Ho Chi Minh City, Vietnam, December 9-11, 2015.

Junghye Lee, Kyeol Chang, Hoeil Chung, Hyeseon Lee, "Selection of variables in a series of spectra collected by continuously changing sample temperature to improve accuracy of multivariate analysis", Chemometrics in Analytical Chemistry 2015, Changsha, China, June 22-26, 2015.

Junghye Lee, Kyeol Chang, Hyeseon Lee, Chi-Hyuck Jun, Hoeil Chung, "Markov blanket feature selection to improve accuracy of a multivariate calibration model for spectral data", Chemometrics in Analytical Chemistry 2015, Changsha, China, June 22-26, 2015.

Wonji Lee, Junghye Lee, Kwang-Jae Kim and Chi-Hyuck Jun, “Data mining techniques for risk prediction of hypertension and its complications”, Proceedings of 2014 ICISE, Hongkong, China, December 15-17, 2014.

Junghye Lee, Wonji Lee, Hyeseon Lee, Sung-Hong Kang and Chi-Hyuck Jun, "Bayesian Network Analysis: Hypertension and its Complications Incidence Analysis”, Proceedings of APIEMS 2014 conference, Jeju, Korea, October 12-14, 2014.

Junghye Lee, Hyeseon Lee, and Hoeil Chung, "Support Vector Regression based Recursive Feature Elimination for Compositional Prediction of Naphtha by Near-infrared Spectroscopy", Asian NIR Symposium 2014, Daegu, Korea, June 17-20, 2014.

Junghye Lee, Sanguk Lee, Hyeseon Lee, Hoeil Chung and Chi-Hyuck Jun, "Kernel-based prediction model for quantitative analysis based on vibrational spectroscopy", Chemometrics in Analytical Chemistry 2014, Richmond, Virginia, US, June 9-13, 2014.

Kwang-Jae Kim, Ryeok-Hwan Kwon, Ki-Hun Kim, Sung-Hong Kang , Yea-Eun Kim, Eun-Ju Kim, Chi-Hyuck Jun, Junghye Lee and Wonji Lee, “Development of a Service Model for Hypertension Patient Management”, Proceedings of the Spring Conference on Systems Engineering and Management Science 2014, Shenzhen, China, May 16-17, 2014.