Changwon Yoon

According to our database, Changwon Yoon authored at least 4 papers between 2022 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2026

On the limits and opportunities of AI reviewers: Reviewing the reviews of Nature-family papers with 45 expert scientists.

Seungone Kim, Dongkeun Yoon, Kiril Gashteovski, Juyoung Suk, Jinheon Baek, Pranjal Aggarwal, Ian Wu, Viktor Zaverkin, Spase Petkoski, Daniel R. Schrider, Ilija Dukovski, Francesco Santini, Biljana Mitreska, Yong Jeong, Kyeongha Kwon, Young Min Sim, Dragana Manasova, Arthur Porto, Biljana Mojsoska, Makoto Takamoto, Marko Shuntov, Ruoqi Liu, Hyunjoo Jenny Lee, Niyazi Ulas Dinç, Yehhyun Jo, Sunkyu Han, Chungwoo Lee, Huishan Li, Esther H. R. Tsai, Ergun Simsek, Khushboo Shafi, Yeonseung Chung, Jihye Park, Aleksandar Shulevski, Henrik Christiansen, Yoosang Son, Elly Knight, Amanda Montoya, Jeongyoun Ahn, Christian Langkammer, Heera Moon, Changwon Yoon, Nikola Stikov, Mooseok Jang, Edward Choi, Junhan Kim, Yeon Sik Jung, Woo Youn Kim, Jae Kyoung Kim, Ishraq Md Anjum, Hyun Uk Kim, Drew Bridges, Carolin Lawrence, Xiang Yue, Alice Oh, Akari Asai, Sean Welleck, Graham Neubig

CoRR, May, 2026

2025

Kernel density estimation for compositional data with zeros via hypersphere mapping.

Changwon Yoon, Hyunbin Choi, Jeongyoun Ahn

Comput. Stat. Data Anal., 2025

2023

Reproducing Kernels and New Approaches in Compositional Data Analysis.

Binglin Li, Changwon Yoon, Jeongyoun Ahn

J. Mach. Learn. Res., 2023

2022

Kernel Methods for Radial Transformed Compositional Data with Many Zeros.

Junyoung Park, Changwon Yoon, Cheolwoo Park, Jeongyoun Ahn

Proceedings of the International Conference on Machine Learning, 2022