Papers( IJ International Journal, S Scopus, DJ Domestic Journal, IC International Conference, DC Domestic Conference)

2022 (1 - IJ: 0, S:0, IC: 1, DJ:0, DC:0)

  • [IC-03] Taeyong Kong, Taeri Kim, Jinsung Jeon, Jeongwhan Choi, Yeon-Chang Lee, Noseong Park and Sang-Wook Kim, "Linear, or Non-Linear, That is the Question!", In Proceedings of the 15th ACM International Web Search and Data Mining Conference (WSDM), 2022.


2021 (5 - IJ: 0, S:0, IC: 2, DJ:2, DC:1)

  • [DJ-04] Jeongwhan Choi and Duksan Ryu, "Bayesian Optimization Framework for Improved Cross-Version Defect Prediction", KIPS Transactions on Software and Data Engineering (KTSDE), Vol. 10, No. 9, pp. 339-348, Sep. 2021.

  • [IC-02] Jeehyun Hwang, Jeongwhan Choi, Hwangyong Choi, and Noseong Park, "Climate Modeling with Neural Diffusion Equations", In Proceedings of the 21st IEEE International Conference on Data Mining (ICDM), 2021. [GitHub]

  • [IC-01] Jeongwhan Choi, Jinsung Jeon, and Noseong Park, "LT-OCF: Learnable-Time ODE-based Collaborative Filtering", In Proceedings of the 30th ACM International Conference on Information and Knowledge Management (CIKM), 2021. [pdf from arxiv.org] [Poster] [Github]

  • [DC-05] Jeongwhan Choi and Duksan Ryu, "Bayesian Optimization Framework for Cross-Version Defect Prediction", In Proceedings of the 23rd Korea Conference on Software Engineering (KCSE 2021), 2021, pp. 63-72.

  • [DJ-03] Jeongwhan Choi, Jiwon Choi, Duksan Ryu and Suntae Kim, "Improved Prediction for Configuration Bug Report Using Text Mining and Dimensionality Reduction," Journal of KIISE, 2021, Vol. 48, No. 1, pp. 35-42.


2020 (3 - IJ: 0, S:0, IC: 0, DJ:0, DC:3)

  • [DC-04] Jeongwhan Choi and Duksan Ryu, "A Study on the Applicability of Transfer Learning Techniques for Cross-Project Defect Regression," In Proceedings of the Korea Software Congress (KSC), 2020, pp. 150 - 152.

  • [DC-03] Jeongwhan Choi, Duksan Ryu, and Suntae Kim, “Comparative Study of Transfer Learning Models for Cross-Project Automotive Software Defect Prediction,” In Proceedings of the Korea Computer Congress (KCC), 2020, pp. 257–259.

  • [DC-02] Jeongwhan Choi, Jiwon Choi, Duksan Ryu, and Suntae Kim, “Prediction for Configuration Bug Report Using Text Mining,” In Proceedings of the 22nd Korea Conference on Software Engineering (KCSE 2020), 2020, pp. 350–357.


2019 (2 - IJ: 0, S: 0, IC: 0, DJ: 1, DC: 1)

  • [DJ-02] Jeongwhan Choi, Jiwoo Noh, and Suntae Kim, “Prediction Techniques for Difficulty Level of Hanja Using Multiple Linear Regression,” J. Inst. Internet, Broadcast. Commun., vol. 19, no. 6, 2019.

  • [DC-01] Seounghan Song, Jeongwhan Choi, Mingu Kang, and Cheoljung Yoo, “A Software Module That Analyzes the Relationship Between Headline and Content of the Web Article: CHIMERA,” in The Proceedings of the 2019 KIIT DCS Summer Conference, 2019, vol. 14, pp. 437–440.


2018 (1 - IJ: 0, S: 0, IC: 0, DJ: 1, DC: 0)

  • [DJ-01] Jeongwhan Choi, “Iceberg-Ship Classification in SAR Images Using Convolutional Neural Network with Transfer Learning,” J. Internet Comput. Serv., vol. 19, no. 4, pp. 35–44, 2018.