Hyosoon Jang

About Me

I'm a master-phd combined course student at Machine Learning Lab @ POSTECH, advised by Sungsoo Ahn (2023/03~). My research focuses on methods for inferring diverse solutions.

Publications

^‡ indicates equal contribution.

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

Hyosoon Jang, Yunhui Jang, Jaehyung Kim, Sungsoo Ahn

Under review

Paper

[Conference] Pessimistic Backward Policy for GFlowNets

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

NeurIPS 2024

Paper

[Conference] Learning Energy Decomposition for Partial Inference in GFlowNets

Hyosoon Jang, Minsu Kim, Sungsoo Ahn

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

Paper

[Conference] Diffusion Probabilistic Models for Structured Node Classification

Hyosoon Jang, Seonghyun Park, Sangwoo Mo, Sungsoo Ahn

NeurIPS 2023

Paper

[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)

Invited Talks

UMICH, 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

Honors and Awards

Postechian Fellowship, 2024
Presidential Science Scholarship, 2024
National Excellence Scholarship (Natural Sciences and Engineering), 2021-2022
Merit-based Scholarship, 2019-2020