Heewoong Noh

According to our database, Heewoong Noh authored at least 8 papers between 2023 and 2026.

Collaborative distances:

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

2026

MSP-LLM: A Unified Large Language Model Framework for Complete Material Synthesis Planning.

Heewoong Noh, Gyoung S. Na, Namkyeong Lee, Chanyoung Park

CoRR, February, 2026

2025

IR-Agent: Expert-Inspired LLM Agents for Structure Elucidation from Infrared Spectra.

Heewoong Noh, Namkyeong Lee, Gyoung S. Na, Kibum Kim, Chanyoung Park

CoRR, August, 2025

Image is All You Need: Towards Efficient and Effective Large Language Model-Based Recommender Systems.

Kibum Kim, Sein Kim, Hongseok Kang, Jiwan Kim, Heewoong Noh, Yeonjun In, Kanghoon Yoon, Jinoh Oh, Chanyoung Park

CoRR, March, 2025

2024

3D Interaction Geometric Pre-training for Molecular Relational Learning.

Namkyeong Lee, Yunhak Oh, Heewoong Noh, Gyoung S. Na, Minkai Xu, Hanchen Wang, Tianfan Fu, Chanyoung Park

CoRR, 2024

Retrieval-Retro: Retrieval-based Inorganic Retrosynthesis with Expert Knowledge.

Heewoong Noh, Namkyeong Lee, Gyoung S. Na, Chanyoung Park

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

2023

Stoichiometry Representation Learning with Polymorphic Crystal Structures.

Namkyeong Lee, Heewoong Noh, Gyoung S. Na, Tianfan Fu, Jimeng Sun, Chanyoung Park

CoRR, 2023

Predicting Density of States via Multi-modal Transformer.

Namkyeong Lee, Heewoong Noh, Sungwon Kim, Dongmin Hyun, Gyoung S. Na, Chanyoung Park

CoRR, 2023

Density of States Prediction of Crystalline Materials via Prompt-guided Multi-Modal Transformer.

Namkyeong Lee, Heewoong Noh, Sungwon Kim, Dongmin Hyun, Gyoung S. Na, Chanyoung Park

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023