Observer-based guaranteed cost control for lateral motion of a strip in hot rolling process. - Kanghyun Kim; Sangchul Won (ICCA, 2013)

Optimization of Semi-Active Pneumatic Actuators for an Exoskeleton Robot for Running. - Yoosuk Kim; Cheolmin Kwon; Huiseok Moon; Kanghyun Kim; Jungsoo Cho; Kyoungchul Kong (UR, 2018)

Towards an Intelligent Microscope: Adaptively Learned Illumination for Optimal Sample Classification. - Amey Chaware; Colin L. V. Cooke; Kanghyun Kim; Roarke Horstmeyer (ICASSP, 2020)

Multi-element microscope optimization by a learned sensing network with composite physical layers. - Kanghyun Kim; Pavan Chandra Konda; Colin L. V. Cooke; Ron Appel; Roarke Horstmeyer (CoRR, 2020)

Physics-Enhanced Machine Learning for Virtual Fluorescence Microscopy. - Colin L. V. Cooke; Fanjie Kong; Amey Chaware; Kevin C. Zhou; Kanghyun Kim; Rong Xu; D. Michael Ando; Samuel J. Yang; Pavan Chandra Konda; Roarke Horstmeyer (ICCV, 2021)

Increasing a microscope's effective field of view via overlapped imaging and machine learning. - Xing Yao; Vinayak Pathak; Haoran Xi; Amey Chaware; Colin L. V. Cooke; Kanghyun Kim; Shiqi Xu; Yuting Li; Timothy Dunn; Pavan Chandra Konda; Kevin C. Zhou; Roarke Horstmeyer (CoRR, 2021)

Tensorial tomographic differential phase-contrast microscopy. - Shiqi Xu; Xiang Dai; Xi Yang; Kevin C. Zhou; Kanghyun Kim; Vinayak Pathak; Carolyn Glass; Roarke Horstmeyer (ICCP, 2022)

Transient motion classification through turbid volumes via parallelized single-photon detection and deep contrastive embedding. - Shiqi Xu; Wenhui Liu; Xi Yang; Joakim Jönsson; Ruobing Qian; Paul McKee; Kanghyun Kim; Pavan Chandra Konda; Kevin C. Zhou; Lucas Kreiß; Haoqian Wang; Edouard Berrocal; et al. (CoRR, 2022)

Multi-modal imaging using a cascaded microscope design. - Xi Yang; Mark Harfouche; Kevin C. Zhou; Lucas Kreiß; Shiqi Xu; Kanghyun Kim; Roarke Horstmeyer (CoRR, 2022)

A Reachability Tree-Based Algorithm for Robot Task and Motion Planning. - Kanghyun Kim; Daehyung Park; Min Jun Kim 003 (ICRA, 2023)

Digital staining in optical microscopy using deep learning - a review. - Lucas Kreiss; Shaowei Jiang; Xiang Li; Shiqi Xu; Kevin C. Zhou; Alexander Mühlberg; Kyung Chul Lee; Kanghyun Kim; Amey Chaware; D. Michael Ando; Laura Barisoni; Seung Ah Lee; et al. (CoRR, 2023)

SPLIT: SE(3)-diffusion via Local Geometry-based Score Prediction for 3D Scene-to-Pose-Set Matching Problems. - Kanghyun Kim; Min Jun Kim (CoRR, 2024)

Computational 3D topographic microscopy from terabytes of data per sample. - Kevin C. Zhou; Mark Harfouche; Maxwell Zheng; Joakim Jönsson; Kyung Chul Lee; Kanghyun Kim; Ron Appel; Paul Reamey; Thomas Doman; Veton Saliu; Gregor Horstmeyer; Seung Ah Lee; et al. (J. Big Data, 2024)