Hyosoon Jang 장효순

[P3] Atom-level Protein Representation Learning Improves Protein Structure Prediction

Hyosoon Jang^‡, Taewon Kim^‡, Hyunjin Seo, Seonghwan Seo, Hyeongwoo Kim, Wonho Zhung, Mingyeong Shin, Wooyoun Kim, Sungsoo Ahn

Preprint

[P2] A Systematic Evaluation of Co-folding Model Representations for Small-Molecule Learning

Hyosoon Jang, Hyunjin Seo, Honghui Kim, Seonghyun Park, Taewon Kim, Yunhui Jang, Sungsoo Ahn

Preprint

[C4] Self-Training Large Language Models with Confident Reasoning

Hyosoon Jang, Yunhui Jang, Sungjae Lee, Jungseul Ok, Sungsoo Ahn

EMNLP 2025 (findings)

[P1] Can LLMs Generate Diverse Molecules? Towards Alignment with Structural Diversity

Hyosoon Jang, Yunhui Jang, Jaehyung Kim, Sungsoo Ahn

Preprint

[C3] Pessimistic Backward Policy for GFlowNets

Hyosoon Jang, Yunhui Jang, Minsu Kim, Jinkyoo Park, Sungsoo Ahn

NeurIPS 2024

[C2] Learning Energy Decomposition for Partial Inference in GFlowNets

Hyosoon Jang, Minsu Kim, Sungsoo Ahn

ICLR 2024 (oral presentation, 85/7262=1.16%)

[C1] Diffusion Probabilistic Models for Structured Node Classification

Hyosoon Jang, Seonghyun Park, Sangwoo Mo, Sungsoo Ahn

NeurIPS 2023

[J2] 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)

[J1] 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)