Neighbor search with global geometry: a minimax message passing algorithm. - Kye-Hyeon Kim; Seungjin Choi (ICML, 2007)

Incremental learning to rank with partially-labeled data. - Kye-Hyeon Kim; Seungjin Choi (WSCD@WSDM, 2009)

Supervised Learning. - Jong Kyoung Kim; Kye-Hyeon Kim; Seungjin Choi (Encyclopedia of Biometrics, 2009)

Walking on Minimax Paths for k-NN Search. - Kye-Hyeon Kim; Seungjin Choi (AAAI, 2013)

Robust part-based face matching with multiple templates. - Kye-Hyeon Kim; Cha Zhang; Zhengyou Zhang; Seungjin Choi (FG, 2013)

Regularized Discriminant Embedding for Visual Descriptor Learning - Kye-Hyeon Kim; Rui Cai 002; Lei Zhang 001; Seungjin Choi (ICLR (Workshop Poster), 2013)

Semi-supervised Learning on Bi-relational Graph for Image Annotation. - Hien Duy Pham; Kye-Hyeon Kim; Seungjin Choi (ICPR, 2014)

Label propagation through minimax paths for scalable semi-supervised learning. - Kye-Hyeon Kim; Seungjin Choi (Pattern Recognit. Lett., 2014)

Supervised Learning. - Jong Kyoung Kim; Kye-Hyeon Kim; Seungjin Choi (Encyclopedia of Biometrics, 2015)

PVANet: Lightweight Deep Neural Networks for Real-time Object Detection. - Sanghoon Hong; Byung-Seok Roh; Kye-Hyeon Kim; Yeongjae Cheon; Minje Park (CoRR, 2016)

PVANET: Deep but Lightweight Neural Networks for Real-time Object Detection. - Kye-Hyeon Kim; Yeongjae Cheon; Sanghoon Hong; Byung-Seok Roh; Minje Park (CoRR, 2016)

Transferable Candidate Proposal with Bounded Uncertainty. - Kyeongryeol Go; Kye-Hyeon Kim (CoRR, 2023)