Hyosoon Jang

11 papers A* 3Journal 7Unranked 1
YearRankTypeTitle / Venue / Authors
2026 J jnl
Boltz is a Strong Baseline for Atom-level Representation Learning.
CoRR
Hyosoon Jang, Hyunjin Seo, Yunhui Jang, Seonghyun Park, Sungsoo Ahn
2025 — conf
Self-Training Large Language Models with Confident Reasoning.
EMNLP (Findings)
Hyosoon Jang, Yunhui Jang, Sungjae Lee, Jungseul Ok, Sungsoo Ahn
2025 J jnl
Self-Training Large Language Models with Confident Reasoning.
CoRR
Hyosoon Jang, Yunhui Jang, Sungjae Lee, Jungseul Ok, Sungsoo Ahn
2024 J jnl
Can LLMs Generate Diverse Molecules? Towards Alignment with Structural Diversity.
CoRR
Hyosoon Jang, Yunhui Jang, Jaehyung Kim, Sungsoo Ahn
2024 J jnl
De novo drug design through gradient-based regularized search in information-theoretically controlled latent space.
J. Comput. Aided Mol. Des.
Hyosoon Jang, Sangmin Seo, Sanghyun Park, Byung Ju Kim, Geon-Woo Choi, Jonghwan Choi, Chihyun Park
2024 A* conf
Learning Energy Decompositions for Partial Inference in GFlowNets.
ICLR
Hyosoon Jang, Minsu Kim, Sungsoo Ahn
2024 A* conf
Pessimistic Backward Policy for GFlowNets.
NeurIPS
Hyosoon Jang, Yunhui Jang, Minsu Kim, Jinkyoo Park, Sungsoo Ahn
2024 J jnl
Pessimistic Backward Policy for GFlowNets.
CoRR
Hyosoon Jang, Yunhui Jang, Minsu Kim, Jinkyoo Park, Sungsoo Ahn
2023 J jnl
Diffusion Probabilistic Models for Graph-Structured Prediction.
CoRR
Hyosoon Jang, Sangwoo Mo, Sungsoo Ahn
2023 A* conf
Diffusion Probabilistic Models for Structured Node Classification.
NeurIPS
Hyosoon Jang, Seonghyun Park, Sangwoo Mo, Sungsoo Ahn
2023 J jnl
Learning Energy Decompositions for Partial Inference of GFlowNets.
CoRR
Hyosoon Jang, Minsu Kim, Sungsoo Ahn