Haeyeon Kim

According to our database, Haeyeon Kim authored at least 6 papers between 2022 and 2025.

Collaborative distances:

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

2025

RL4CO: An Extensive Reinforcement Learning for Combinatorial Optimization Benchmark.

Federico Berto, Chuanbo Hua, Junyoung Park, Laurin Luttmann, Yining Ma, Fanchen Bu, Jiarui Wang, Haoran Ye, Minsu Kim, Sanghyeok Choi, Nayeli Gast Zepeda, André Hottung, Jianan Zhou, Jieyi Bi, Yu Hu, Fei Liu, Hyeonah Kim, Jiwoo Son, Haeyeon Kim, Davide Angioni, Wouter Kool, Zhiguang Cao, Qingfu Zhang, Joungho Kim, Jie Zhang, Kijung Shin, Cathy Wu, Sungsoo Ahn, Guojie Song, Changhyun Kwon, Kevin Tierney, Lin Xie, Jinkyoo Park

Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.2, 2025

2024

ReEvo: Large Language Models as Hyper-Heuristics with Reflective Evolution.

Haoran Ye, Jiarui Wang, Zhiguang Cao, Federico Berto, Chuanbo Hua, Haeyeon Kim, Jinkyoo Park, Guojie Song

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

2023

RL4CO: an Extensive Reinforcement Learning for Combinatorial Optimization Benchmark.

Federico Berto, Chuanbo Hua, Junyoung Park, Minsu Kim, Hyeonah Kim, Jiwoo Son, Haeyeon Kim, Joungho Kim, Jinkyoo Park

CoRR, 2023

DevFormer: A Symmetric Transformer for Context-Aware Device Placement.

Haeyeon Kim, Minsu Kim, Federico Berto, Joungho Kim, Jinkyoo Park

Proceedings of the International Conference on Machine Learning, 2023

2022

Collaborative Distillation Meta Learning for Simulation Intensive Hardware Design.

Haeyeon Kim, Minsu Kim, Joungho Kim, Jinkyoo Park

CoRR, 2022

Transformer Network-based Reinforcement Learning Method for Power Distribution Network (PDN) Optimization of High Bandwidth Memory (HBM).

HyunWook Park, Minsu Kim, Seongguk Kim, Keunwoo Kim, Haeyeon Kim, Taein Shin, Keeyoung Son, Boogyo Sim, Subin Kim, Seungtaek Jeong, Chulsoon Hwang, Joungho Kim

CoRR, 2022