To be biased or not to be: choosing between design fixation and design intentionality. - Jieun Kim; Hokyoung Ryu; Hyeonah Kim (CHI Extended Abstracts, 2013)

Meta-SAGE: Scale Meta-Learning Scheduled Adaptation with Guided Exploration for Mitigating Scale Shift on Combinatorial Optimization. - Jiwoo Son; Minsu Kim 004; Hyeonah Kim; Jinkyoo Park (ICML, 2023)

Symmetric Exploration in Combinatorial Optimization is Free! - Hyeonah Kim; Minsu Kim 004; Sungsoo Ahn; Jinkyoo Park (CoRR, 2023)

RL4CO: an Extensive Reinforcement Learning for Combinatorial Optimization Benchmark. - Federico Berto; Chuanbo Hua; Junyoung Park 002; Minsu Kim 004; Hyeonah Kim; Jiwoo Son; Haeyeon Kim; Joungho Kim; Jinkyoo Park (CoRR, 2023)

Equity-Transformer: Solving NP-Hard Min-Max Routing Problems as Sequential Generation with Equity Context. - Jiwoo Son; Minsu Kim 004; Sanghyeok Choi; Hyeonah Kim; Jinkyoo Park (AAAI, 2024)

Symmetric Replay Training: Enhancing Sample Efficiency in Deep Reinforcement Learning for Combinatorial Optimization. - Hyeonah Kim; Minsu Kim 004; Sungsoo Ahn; Jinkyoo Park (ICML, 2024)

Genetic-guided GFlowNets for Sample Efficient Molecular Optimization. - Hyeonah Kim; Minsu Kim 004; Sanghyeok Choi; Jinkyoo Park (NeurIPS, 2024)

Genetic-guided GFlowNets: Advancing in Practical Molecular Optimization Benchmark. - Hyeonah Kim; Minsu Kim 004; Sanghyeok Choi; Jinkyoo Park (CoRR, 2024)

Improved Off-policy Reinforcement Learning in Biological Sequence Design. - Hyeonah Kim; Minsu Kim 004; Taeyoung Yun; Sanghyeok Choi; Emmanuel Bengio; Alex Hernández-García; Jinkyoo Park (CoRR, 2024)

A Neural Separation Algorithm for the Rounded Capacity Inequalities. - Hyeonah Kim; Jinkyoo Park; Changhyun Kwon 001 (INFORMS J. Comput., 2024)

Ant Colony Sampling with GFlowNets for Combinatorial Optimization. - Minsu Kim 004; Sanghyeok Choi; Hyeonah Kim; Jiwoo Son; Jinkyoo Park; Yoshua Bengio (AISTATS, 2025)

Neural Genetic Search in Discrete Spaces. - Hyeonah Kim; Sanghyeok Choi; Jiwoo Son; Jinkyoo Park; Changhyun Kwon 001 (CoRR, 2025)