Can Machines Learn to Comprehend Scientific Literature? - Donghyeon Park; Yonghwa Choi; Daehan Kim; Minhwan Yu; Seongsoon Kim; Jaewoo Kang (IEEE Access, 2019)

ChimerDB 4.0: an updated and expanded database of fusion genes. - Ye Eun Jang; Insu Jang; Sunkyu Kim; Subin Cho; Daehan Kim; Keonwoo Kim; Jaewon Kim; Jimin Hwang; Sangok Kim; Jaesang Kim; Jaewoo Kang; Byungwook Lee; et al. (Nucleic Acids Res., 2020)

OCR-based Inventory Management Algorithms Robust to Damaged Images. - Minseok Seo; Daehan Kim; Hyeyoon Kang; Donghyeon Cho; Dong-Geol Choi (ICRA, 2021)

VisDA 2022 Challenge: Domain Adaptation for Industrial Waste Sorting. - Dina Bashkirova; Samarth Mishra; Diala Lteif; Piotr Teterwak; Donghyun Kim 006; Fadi M. Alladkani; James Akl; Berk Çalli; Sarah Adel Bargal; Kate Saenko; Daehan Kim; Minseok Seo; et al. (NeurIPS (Competition and Demos), 2021)

Zero Assignment via Generalized Sampler: A Countermeasure Against Zero-Dynamics Attack. - Daehan Kim; Kunhee Ryu; Jung Hoon Kim 001; Juhoon Back (IEEE Access, 2021)

Sequential Feature Filtering Classifier. - Minseok Seo; Jaemin Lee; Jongchan Park; Daehan Kim; Dong-Geol Choi (IEEE Access, 2021)

Masked Deep Q-Recommender for Effective Question Scheduling. - Keunhyung Chung; Daehan Kim; Sangheon Lee; Guik Jung (CoRR, 2021)

Diagnostic Assessment Generation via Combinatorial Search. - Daehan Kim; Hyeonseong Choi; Guik Jung (CoRR, 2021)

Source Domain Subset Sampling for Semi-Supervised Domain Adaptation in Semantic Segmentation. - Daehan Kim; Minseok Seo; Jinsun Park; Dong-Geol Choi (CoRR, 2022)

1st Place Solution to NeurIPS 2022 Challenge on Visual Domain Adaptation. - Daehan Kim; Minseok Seo; Youngjin Jeon; Dong-Geol Choi (CoRR, 2022)

A Self-Supervised Sampler for Efficient Action Recognition: Real-World Applications in Surveillance Systems. - Minseok Seo; Donghyeon Cho; Sangwoo Lee; Jongchan Park; Daehan Kim; Jaemin Lee; Jingi Ju; Hyeoncheol Noh; Dong-Geol Choi (IEEE Robotics Autom. Lett., 2022)

Bidirectional Domain Mixup for Domain Adaptive Semantic Segmentation. - Daehan Kim; Minseok Seo; Kwanyong Park; Inkyu Shin; Sanghyun Woo; In So Kweon; Dong-Geol Choi (AAAI, 2023)