Kyoung-Jae Won

Publication Activity (10 Years)

Years Active: 2004-2023
Publications (10 Years): 6

Top Topics

Optical Flow Estimation

High Resolution Aerial Images

Unsupervised Learning

Top Venues

J. Comput. Biol.

Publications

Jesse G. Meyer, Ryan J. Urbanowicz, Patrick C. N. Martin, Karen O'Connor, Ruowang Li, Pei-Chen Peng, Tiffani J. Bright, Nicholas P. Tatonetti, Kyoung-Jae Won, Graciela Gonzalez-Hernandez, Jason H. Moore
ChatGPT and large language models in academia: opportunities and challenges. BioData Min. 16 (1) (2023)
Kensuke Nakamura, Bong-Soo Sohn, Kyoung-Jae Won, Byung-Woo Hong
Regularization in Network Optimization via Trimmed Stochastic Gradient Descent With Noisy Label. IEEE Access 10 (2022)
Tomislav Dobricki, Xiahai Zhuang, Kyoung-Jae Won, Byung-Woo Hong
Survey on unsupervised learning methods for optical flow estimation. ICTC (2022)
Guangzheng Weng, Junil Kim, Kyoung-Jae Won
VeTra: a tool for trajectory inference based on RNA velocity. Bioinform. 37 (20) (2021)
Shibiao Wan, Junil Kim, Yiping Fan, Kyoung-Jae Won
Processing Millions of Single Cells by SHARP. BCB (2020)
David E. Condon, Phu V. Tran, Yu-Chin Lien, Jonathan Schug, Michael K. Georgieff, Rebecca A. Simmons, Kyoung-Jae Won
Defiant: (DMRs: easy, fast, identification and ANnoTation) identifies differentially Methylated regions from iron-deficient rat hippocampus. BMC Bioinform. 19 (1) (2018)
Nha Nguyen, An P. N. Vo, Inchan Choi, Kyoung-Jae Won
A Stationary Wavelet Entropy-Based Clustering Approach Accurately Predicts Gene Expression. J. Comput. Biol. 22 (3) (2015)
Nha Nguyen, An P. N. Vo, Kyoung-Jae Won
A Wavelet Approach to Detect Enriched Regions and Explore Epigenomic Landscapes. J. Comput. Biol. 21 (11) (2014)
Nha Nguyen, Kyoung-Jae Won
Gaussian derivative wavelets identify dynamic changes in histone modification. CIBCB (2014)
Nha Nguyen, An P. N. Vo, Kyoung-Jae Won
A wavelet-based method to exploit epigenomic language in the regulatory region. Bioinform. 30 (7) (2014)
Kyoung-Jae Won, Craig Saunders, Adam Prügel-Bennett
Evolving Fisher Kernels for Biological Sequence Classification. Evol. Comput. 21 (1) (2013)
Kyoung-Jae Won, Albin Sandelin, Troels Torben Marstrand, Anders Krogh
Modeling promoter grammars with evolving hidden Markov models. Bioinform. 24 (15) (2008)
Kyoung-Jae Won, Iouri Chepelev, Bing Ren, Wei Wang
Prediction of regulatory elements in mammalian genomes using chromatin signatures. BMC Bioinform. 9 (2008)
Kyoung-Jae Won, Thomas Hamelryck, Adam Prügel-Bennett, Anders Krogh
An evolutionary method for learning HMM structure: prediction of protein secondary structure. BMC Bioinform. 8 (2007)
Kyoung-Jae Won, Adam Prügel-Bennett, Anders Krogh
Evolving the structure of hidden Markov models. IEEE Trans. Evol. Comput. 10 (1) (2006)
Kyoung-Jae Won, Thomas Hamelryck, Adam Prügel-Bennett, Anders Krogh
Evolving hidden Markov models for protein secondary structure prediction. Congress on Evolutionary Computation (2005)
Kyoung-Jae Won, Adam Prügel-Bennett, Anders Krogh
The Block Hidden Markov Model for Biological Sequence Analysis. KES (2004)
Kyoung-Jae Won, Adam Prügel-Bennett, Anders Krogh
Training HMM structure with genetic algorithm for biological sequence analysis. Bioinform. 20 (18) (2004)