Genetic Programming with Active Data Selection. - Byoung-Tak Zhang; Dong-Yeon Cho (SEAL, 1998)

Bayesian evolutionary algorithms for evolving neural tree models of time series data. - Dong-Yeon Cho; Byoung-Tak Zhang (CEC, 2000)

Evolving complex group behaviors using genetic programming with fitness switching. - Byoung-Tak Zhang; Dong-Yeon Cho (Artif. Life Robotics, 2000)

Continuous estimation of distribution algorithms with probabilistic principal component analysis. - Dong-Yeon Cho; Byoung-Tak Zhang (CEC, 2001)

System identification using evolutionary Markov chain Monte Carlo. - Byoung-Tak Zhang; Dong-Yeon Cho (J. Syst. Archit., 2001)

Evolutionary optimization by distribution estimation with mixtures of factor analyzers. - Dong-Yeon Cho; Byoung-Tak Zhang (IEEE Congress on Evolutionary Computation, 2002)

Evolutionary Continuous Optimization by Distribution Estimation with Variational Bayesian Independent Component Analyzers Mixture Model. - Dong-Yeon Cho; Byoung-Tak Zhang (PPSN, 2004)

Multi-stage Evolutionary Algorithms for Efficient Identification of Gene Regulatory Networks. - Kee-Young Kim; Dong-Yeon Cho; Byoung-Tak Zhang (EvoWorkshops, 2006)

Identification of biochemical networks by S-tree based genetic programming. - Dong-Yeon Cho; Kwang-Hyun Cho; Byoung-Tak Zhang (Bioinform., 2006)

Finding Cancer-Related Gene Combinations Using a Molecular Evolutionary Algorithm. - Chan-Hoon Park; Soo-Jin Kim; Sun Kim; Dong-Yeon Cho; Byoung-Tak Zhang (BIBE, 2007)

Chapter 5: Network Biology Approach to Complex Diseases. - Dong-Yeon Cho; Yoo-Ah Kim; Teresa M. Przytycka (PLoS Comput. Biol., 2012)

Dissecting Cancer Heterogeneity with a Probabilistic Genotype-Phenotype Model. - Dong-Yeon Cho; Teresa M. Przytycka (RECOMB, 2013)

MEMCover: integrated analysis of mutual exclusivity and functional network reveals dysregulated pathways across multiple cancer types. - Yoo-Ah Kim; Dong-Yeon Cho; Phuong Dao; Teresa M. Przytycka (Bioinform., 2015)

Understanding Genotype-Phenotype Effects in Cancer via Network Approaches. - Yoo-Ah Kim; Dong-Yeon Cho; Teresa M. Przytycka (PLoS Comput. Biol., 2016)

NetREX: Network Rewiring Using EXpression - Towards Context Specific Regulatory Networks. - Yijie Wang 004; Dong-Yeon Cho; Hangnoh Lee; Brian Oliver; Teresa M. Przytycka (RECOMB, 2017)

Meta Continual Learning. - Risto Vuorio; Dong-Yeon Cho; Daejoong Kim; Jiwon Kim (CoRR, 2018)

Discriminative Few-Shot Learning Based on Directional Statistics. - Junyoung Park; Subin Yi; Yongseok Choi; Dong-Yeon Cho; Jiwon Kim (CoRR, 2019)

Few-Shot Classification on Unseen Domains by Learning Disparate Modulators. - Yongseok Choi; Junyoung Park; Subin Yi; Dong-Yeon Cho (CoRR, 2019)

Sample-based Regularization: A Transfer Learning Strategy Toward Better Generalization. - Yunho Jeon; Yongseok Choi; Jaesun Park; Subin Yi; Dong-Yeon Cho; Jiwon Kim (CoRR, 2020)

Speech Tokenizer is Key to Consistent Representation. - Wonjin Jung; Sungil Kang; Dong-Yeon Cho (CoRR, 2025)