[Preprint] Can LLMs Generate Diverse Molecules? Towards Alignment with Structural Diversity
Hyosoon Jang, Yunhui Jang, Jaehyung Kim, Sungsoo Ahn
Under review
[Conference] Pessimistic Backward Policy for GFlowNets
Hyosoon Jang, Yunhui Jang, Minsu Kim, Jinkyoo Park, Sungsoo Ahn
NeurIPS 2024
[Conference] Learning Energy Decomposition for Partial Inference in GFlowNets
Hyosoon Jang, Minsu Kim, Sungsoo Ahn
ICLR 2024 (oral presentation, 85/7262=1.16%)
[Conference] Diffusion Probabilistic Models for Structured Node Classification
Hyosoon Jang, Seonghyun Park, Sangwoo Mo, Sungsoo Ahn
NeurIPS 2023
[Journal] De novo Drug Design through Gradient-based Regularized Search in Information-theoretically Controlled Latent Space
Hyosoon Jang, Sangmin Seo, Sanghyun Park, Byung Ju Kim, Geon-Woo Choi, Jonghwan Choi, Chihyun Park
Journal of Computer-Aided Molecular Design 38 (1)
[Journal] Machine learning algorithms using systemic inflammatory markers for predicting the oncological outcomes of colorectal cancer after surgery
Songsoo Yang‡, Hyosoon Jang‡, Inkyu Park‡, Sunhye Lee, Gaeul Oh, Chihyun Park*, Jeonghyun Kang*
Annals of Surgical Oncology 30 (13)
MICHIGAN Univ., Stella group, GFlowNets (planned talk), Jan 2025
ICLR, Oral session, Learning Energy Decompositions for Partial Inference in GFlowNets, May 2024
MILA, GFlowNet reading group, Learning Energy Decompositions for Partial Inference in GFlowNets, Apr 2024
Postechian Fellowship, 2024
Presidential Science Scholarship, 2024
National Excellence Scholarship (Natural Sciences and Engineering), 2021-2022
Merit-based Scholarship, 2019-2020