Transformer Network-based Reinforcement Learning Method for Power Distribution Network (PDN) Optimization of High Bandwidth Memory (HBM). - HyunWook Park; Minsu Kim 004; Seongguk Kim; Keunwoo Kim; Haeyeon Kim; Taein Shin; Keeyoung Son; Boogyo Sim; Subin Kim; Seungtaek Jeong; Chulsoon Hwang; Joungho Kim (CoRR, 2022)

Collaborative Distillation Meta Learning for Simulation Intensive Hardware Design. - Haeyeon Kim; Minsu Kim 004; Joungho Kim; Jinkyoo Park (CoRR, 2022)

DevFormer: A Symmetric Transformer for Context-Aware Device Placement. - Haeyeon Kim; Minsu Kim 004; Federico Berto; Joungho Kim; Jinkyoo Park (ICML, 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)

ReEvo: Large Language Models as Hyper-Heuristics with Reflective Evolution. - Haoran Ye; Jiarui Wang 002; Zhiguang Cao; Federico Berto; Chuanbo Hua; Haeyeon Kim; Jinkyoo Park; Guojie Song (NeurIPS, 2024)