Chanhui Lee

According to our database, Chanhui Lee authored at least 8 papers between 2023 and 2025.

Collaborative distances:

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

2025

Towards a Generalizable AI for Materials Discovery: Validation through Immersion Coolant Screening.

Hyunseung Kim, Dae-Woong Jeong, Changyoung Park, Won-Ji Lee, Ha-Eun Lee, Ji-Hye Lee, Rodrigo Hormazabal, Sung Moon Ko, Sumin Lee, Soorin Yim, Chanhui Lee, Sehui Han, Sang-Ho Cha, Woohyung Lim

CoRR, October, 2025

Score-informed Neural Operator for Enhancing Ordering-based Causal Discovery.

Jiyeon Kang, Songseong Kim, Chanhui Lee, Doyeong Hwang, Joanie Hayoun Chung, Yunkyung Ko, Sumin Lee, Sungwoong Kim, Sungbin Lim

CoRR, August, 2025

Mol-LLM: Generalist Molecular LLM with Improved Graph Utilization.

Chanhui Lee, Yuheon Song, Yongjun Jeong, Hanbum Ko, Rodrigo Hormazabal, Sehui Han, Kyunghoon Bae, Sungbin Lim, Sungwoong Kim

CoRR, February, 2025

Data-free Universal Adversarial Perturbation with Pseudo-semantic Prior.

Chanhui Lee, Yeonghwan Song, Jeany Son

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

2024

Scalable Multi-Task Transfer Learning for Molecular Property Prediction.

Chanhui Lee, Dae-Woong Jeong, Sung Moon Ko, Sumin Lee, Hyunseung Kim, Soorin Yim, Sehui Han, Sungwoong Kim, Sungbin Lim

CoRR, 2024

Task Addition in Multi-Task Learning by Geometrical Alignment.

Soorin Yim, Dae-Woong Jeong, Sung Moon Ko, Sumin Lee, Hyunseung Kim, Chanhui Lee, Sehui Han

CoRR, 2024

Multitask Extension of Geometrically Aligned Transfer Encoder.

Sung Moon Ko, Sumin Lee, Dae-Woong Jeong, Hyunseung Kim, Chanhui Lee, Soorin Yim, Sehui Han

CoRR, 2024

2023

Can We Utilize Pre-trained Language Models within Causal Discovery Algorithms?

Chanhui Lee, Juhyeon Kim, Yongjun Jeong, Juhyun Lyu, Junghee Kim, Sangmin Lee, Sangjun Han, Hyeokjun Choe, Soyeon Park, Woohyung Lim, Sungbin Lim, Sanghack Lee

CoRR, 2023