Publications

Submitted Papers

Journal Papers

• Competing With Artificial Intelligence Or Other Fans: Effects of Making Predictions About Game Outcome on Fans’ Perceived Curiosity and Evaluations of Game Consumption

  • Wonseok Jang, Gong Zhuo, Hyunwoong Pyun, and Gyemin Lee, 

  • International Journal of Human-Computer Interaction, 2024. [link]

• An automated quality assurance system with deep learning for small cube-ball phantom localization in noisy megavoltage images

  • Min‑Jae Park, Gyemin Lee, Jungwon Kwak, Chiyoung Jeong, YoungMoon Goh, Sung‑woo Kim, Byung‑Chul Cho, Si Yeol Song, Jong Hoon Kim, Jinhong Jung, Young Seob Shin, Jungsu Oh, 

  • Journal of the Korean Physical Society, 2024. [link]

• Missed a live match? Determinants of League of Legends Champions Korea highlights viewership 

  • Yoonji Ryu, Hui Hwang, Jaehyun Jeong, Wonseok Jang, Gyemin Lee, Hyunwoong Pyun, 

  • Frontiers in Psychology, 14:1-12, 2023. [link]

• Feature Alignment by Uncertainty and Self-Training for Source-Free Unsupervised Domain Adaptation

  • JoonHo Lee, Gyemin Lee, 

  • Neural Networks, 161:682-692, 2023. [link | arxiv]

• Unsupervised Domain Adaptation based on the Predictive Uncertainty of Models

  • JoonHo Lee, Gyemin Lee, 

  • Neurocomputing, 520:183-193, 2023. [link | arxiv]

• Domain Generalization by Marginal Transfer Learning

  • G. Blanchard, A. A. Deshmukh, U. Dogan, G. Lee, C. Scott, 

  • Journal of Machine Learning Research (JMLR), 22:1-55, 2021. [link]

• Image reconstruction for rotational modulation collimator (RMC) using non local means (NLM) denoising filter

  • S. Park, G. Kim, G. Lee, 

  • Nuclear Inst. and Methods in Physics Research, A (NIMA), 954:161901, 2020. [preprint | link]

• Optimization of the collimator mask for the rotational modulation collimator-based gamma-ray/neutron dual-particle imager

  • H. Kim, S. Ye, G. Lee, G. Kim, 

  • Current Applied Physics, 19(7):856-865, 2019. [link]

• A Monte Carlo simulation study for the gamma-ray/neutron dual-particle imager using rotational modulation collimator (RMC)

  • H. Kim, H. Choi, G. Lee, S. Ye, M.B. Smith, G. Kim, 

  • Journal of Radiological Protection, 38:299-309, 2018. [link]

• Improving image reconstruction algorithm for rotating modulation collimators using a variance stabilizing transform

  • Y. Shin, G. Kim, G. Lee, 

  • Journal of Instrumentation (JINST), 12:C01051, 2017. [preprint | link]

• Radiation Imaging with a Rotational Modulation Collimator (RMC) Coupled to a Cs2LiYCl6:Ce (CLYC) Detector

  • H. Kim, S. Ye, Y.Shin, G. Lee, G. Kim, 

  • Journal of the Korean Physical Society, 69(11)L1644-1650, 2016. [link]

• Regularizing RMC images for locating mid-range point sources

  • Y. Shin, G. Kim, G. Lee, 

  • Journal of Instrumentation (JINST), 11:C12007 , 2016. [preprint | link]

• Hierarchical Clustering Using One-Class Support Vector Machines 

  • G. Lee, 

  • Symmetry , 7(3):1164-1175, 2015. [preprint | link]

• Predicting Complications of Percutaneous Coronary Intervention using a Novel Support Vector Method 

  • G. Lee, H. Gurm and Z. Syed, 

  • Journal of American Medical Informatics Association (JAMIA), 20(4):778-786, 2013. [preprint | link | PubMed 23599229]

• EM algorithms for multivariate Gaussian mixture models with truncated and censored data

  • G. Lee and C. Scott

  • Computational Statistics and Data Analysis, 56(9):2816--2829, 2012. [tech report | link | code]

  • The 6th most downloaded article in CSDA as of Aug 20, 2012. [link]

  • One of the Top 25 papers published in CSDA in 2012. [link]

• Statistical file matching of flow cytometry data

  • G. Lee, W. Finn and C. Scott

  • Journal of Biomedical Informatics, vol. 44, no. 4, pp. 663-676, 2011. [tech report | link | code]

• Semi-Supervised Novelty Detection

  • G. Blanchard, G. Lee and C. Scott

  • Journal of Machine Learning Research, vol. 11, pp. 2973-3009, 2010. [pdf]

• Nested support vector machines

  • G. Lee and C. Scott

  • IEEE Trans. Signal Processing, vol. 58, no. 3, 1648-1660, 2010 [pdf | code]

Conference Papers

• Hierarchical Model for Long-Length Video Summarization with Adversarially Enhanced Audio/Visual Features

  • H. Lee, G. Lee, 

  • IEEE International Conference on Image Processing (ICIP), 2020.

• Model Uncertainty for Unsupervised Domain Adaptation

  • J. Lee, G. Lee, 

  • IEEE International Conference on Image Processing (ICIP), 2020.

• Summarizing Long-Length Videos with GAN-Enhanced Audio/Visual Features

  • H. Lee, G. Lee, 

  • 2019 IEEE/CVF International Conference on Computer Vision Workshop (ICCVW), 2019.

• Image reconstruction for rotational modulation collimator (RMC) using non local means (NLM) denoising filter

  • S. Park, G. Kim, G. Lee, 

  • 2018 Symposium on Radiation Measurements and Applications (SORMA XVII), 2018.

• Improving Rotating Modulation Collimator Imaging Algorithm for Locating Mid-Range Point Sources

  • Y. Shin, G. Kim, G. Lee, 

  • 18th International Workshop on Radiation Imaging Detectors (iWoRiD), 2016.

• Improving image reconstruction algorithm for rotating modulation collimators using a variance stabilizing transform

  • Y. Shin, G. Kim, G. Lee, 

  • 18th International Workshop on Radiation Imaging Detectors (iWoRiD), 2016.

• Adapting Surgical Models to Individual Hospitals using Transfer Learning

  • G. Lee, I. Rubinfeld and Z. Syed

  • 2012 IEEE 12th International Conference on Data Mining Workshops (ICDMW), pages 56--63, 2012. [pdf | link]

  • accepted to IEEE ICDM 2012 workshop on Biological Data Mining and its Applications in Healthcare (BioDM), 2012.

• Predicting Complications of Percutaneous Coronary Intervention using a Novel Support Vector Method

  • G. Lee, H. Gurm and Z. Syed,

  • IEEE Conference on Healthcare Informatics, Imaging, and Systems Biology (HISB), pp.31, 2012. [abs | link | code]

  • Best Paper Award. [link1 | link2]

• Improving Surgical Models through One/Two Class Learning

  • C. Chia, Z. Karam, G. Lee, I. Rubinfeld, Z. Syed

  • 2012 Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), pages 5098--5101, 2012. [link]

• Generalizing from Several Related Classification Tasks to a New Unlabeled Sample

  • G. Blanchard, G. Lee and C. Scott

  • Advances in Neural Information Processing Systems (NIPS 2011), pages 2178--2186, 2011. [pdf | link]

• Transfer Learning for Automatic Gating of Flow Cytometry Data

  • G. Lee, L. Stoolman and C. Scott

  • JMLR Workshop and Conference Proceedings, 27:155--166, 2012. [pdf | link | tech report]

  • Accepted for oral presentation to the ICML 2011 Workshop on Unsupervised and Transfer Learning, 2011.

  • Pascal2 Best Student Paper Award. [link1 | link2]

• Nested support vector machines

  • G. Lee and C. Scott

  • Proc. IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2008), Las Vegas, 2008. [pdf | code]

• The one class support vector machine solution path

  • G. Lee and C. Scott

  • Proc. IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2007), vol. 2, II-521--II-524, Honolulu, USA, April 2007. [pdf | movies | code]

Domestic Journal Papers

• 하이라이트 검출을 위한 구간 분할 앙상블 모델

  • 이한솔, 이계민, 

  • 방송공학회논문지, 25(4)620-628, 2020.

• 오디오와 이미지의 다중 시구간 정보와 GAN 을 이용한 영상의 하이라이트 예측 알고리즘

  • 이한솔, 이계민, 

  • 방송공학회논문지, 25(2)143-150, 2020.

• 채팅과 오디오의 다중 시구간 정보를 이용한 영상의 하이라이트 예측

  • 김은율, 이계민, 

  • 방송공학회논문지, 24(4)553-563, 2019.

• Non-Local Means을 이용한 회전 변조 시준기 영상화 알고리즘 개선

  • 박소현, 이계민, 

  • 전자공학회논문지, 55(11)75-83, 2018.

• 채팅 트래픽 분석을 통한 개인방송 하이라이트 검출 : 게임 콘텐츠를 중심으로

  • 김은율, 이계민, 

  • 방송공학회논문지, 23(2)218-226, 2018.

• RMC를 이용한 미지 선원의 방향, 거리 예측

  • 신영준, 김기현, 이계민, 

  • 전자공학회논문지, 53(9)118-125, 2016.