Publication

You can also find my articles on my Google Scholar profile.

Topic 1

Machine learning for system analytics for complex manufacturing processes.

• J. Choi, Y. Son, J. Kang. (2024). Group-exclusive feature group lasso and applications to automatic sensor selection for virtual metrology in semiconductor manufacturing. IEEE Transactions on Semiconductor Manufacturing. link
• J. Choi, M. Zhu, J. Kang, and M. K. Jeong. (2024). Convolutional neural network based multi-input multi-output model for multi-sensor multivariate virtual metrology in semiconductor manufacturing. Annals of Operations Research, 1-17. link
• J. Choi, Y. Son, and M. K. Jeong. (2023). Gaussian kernel with correlated variables for incomplete data. Annals of Operations Research, 1-22. link
• S. Lee, J. Choi, and Y. Son. (2022). Efficient visibility algorithm for high-frequency time-series: application to fault diagnosis with graph convolutional network. Annals of Operations Research. 1-21. link
• J. Choi, Y. Son, and M. K. Jeong. (2022). Restricted relevance vector machine for missing data with application to virtual metrology. IEEE Transactions on Automation Science and Engineering, 19(4), 3172-3183. link
• J. Choi and M. K. Jeong. (2019). Deep autoencoder with clipping fusion regularization on multi-step process signals for virtual metrology. IEEE Sensors Letters, 3(1), 1-4. link
• G. Gazzola, J. Choi, D. S. Kwak, B. K. Kim, D. M. Kim, S. H. Tong, and M. K. Jeong. (2018). Integrated variable importance assessment in multi-stage manufacturing processes. IEEE Transactions on Semiconductor Manufacturing, 31(3), 343-355. link

Topic 2

Data mining for managerial informatics in business.

• J. Choi, B. Kim, and H. S. Lee. (2023). Competitor identification with memory in a dynamic financial transaction network. Annals of Operations Research, 1-26. link
• M. Choi, S.-H. Yoo, J. Lee, J. Choi, and B. Kim. (2022). A modified gamma/Gompertz/NBD model for estimating technology lifetime. Scientometrics, 127(10), 5731-5751. link
• B. Tavakkol, J. Choi, M. K. Jeong, and S. L. Albin. (2022). Object-based cluster validation with densities. Pattern Recognition, 121, 108223. link
• J. Choi, A. Tosyali, B. Kim, H. Lee, and M. K. Jeong. (2022). A novel method for identifying competitors using a financial transaction network. IEEE Transactions on Engineering Management, 69(4), 1-16. link
• J. Choi, B. Kim, C. H. Han, H. Hahn, H. Park, J. You, and M. K. Jeong. (2021). Methodology for assessing the contribution of knowledge services during the new product development process to business performance. Expert Systems with Applications, 167, 113860. link
• A. Tosyali, J. Choi, B. Kim, H. Lee, and M. K. Jeong. (2021). A dynamic graph-based approach to ranking firms for the identification of key players using inter-transactions. Annals of Operations Research, 303, 5-27. link
• A. Tosyali, J. Kim, J. Choi, Y. Kang, and M. K. Jeong. (2020). New node anomaly detection algorithm based on nonnegative matrix factorization for directed citation network. Annals of Operations Research, 288, 457-474. link
• A. Tosyali, J. Kim, J. Choi, and M. K. Jeong. (2019). Regularized asymmetric nonnegative matrix factorization for clustering in directed networks. Pattern Recognition Letters, 125, 750-757. link
• J. Choi, B. Kim, H. Hahn, H. Park, Y. Jeong, J. You, and M. K. Jeong. (2017). Data mining-based variable assessment methodology for evaluating the contribution of knowledge services of a public research institute to business performance of Firms. Expert Systems with Applications, 84, 37-48. link
• A. Rodriguez, A. Tosyali, B. Kim, J. Choi, B. Coh, J. Lee, and M. K. Jeong. (2016). Patent clustering and outlier ranking methodologies for attributed patent citation networks. IEEE Transactions on Engineering Management, 63(4), 426-437. link