Soojung Yang - RankMe

13 papers A* 2Journal 11

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A Priori Sampling of Transition States with Guided Diffusion. CoRR Hyukjun Lim, Soojung Yang, Lucas Pinède, Miguel Steiner, Yuanqi Du, Rafael Gómez-Bombarelli
2025	J	`jnl`	Learning Collective Variables from Time-lagged Generation. CoRR Seonghyun Park, Kiyoung Seong, Soojung Yang, Rafael Gómez-Bombarelli, Sungsoo Ahn
2025	J	`jnl`	Transferable Learning of Reaction Pathways from Geometric Priors. CoRR Juno Nam, Miguel Steiner, Max Misterka, Soojung Yang, Avni P. Singhal, Rafael Gómez-Bombarelli
2025	J	`jnl`	Universally Converging Representations of Matter Across Scientific Foundation Models. CoRR Sathya Edamadaka, Soojung Yang, Ju Li, Rafael Gómez-Bombarelli
2024	J	`jnl`	Flow Matching for Accelerated Simulation of Atomic Transport in Materials. CoRR Juno Nam, Sulin Liu, Gavin Winter, KyuJung Jun, Soojung Yang, Rafael Gómez-Bombarelli
2024	J	`jnl`	Learning Collective Variables for Protein Folding with Labeled Data Augmentation through Geodesic Interpolation. CoRR Soojung Yang, Juno Nam, Johannes C. B. Dietschreit, Rafael Gómez-Bombarelli
2023	A*	`conf`	Chemically Transferable Generative Backmapping of Coarse-Grained Proteins. ICML Soojung Yang, Rafael Gómez-Bombarelli
2023	J	`jnl`	Chemically Transferable Generative Backmapping of Coarse-Grained Proteins. CoRR Soojung Yang, Rafael Gómez-Bombarelli
2021	A*	`conf`	Hit and Lead Discovery with Explorative RL and Fragment-based Molecule Generation. NeurIPS Soojung Yang, Doyeong Hwang, Seul Lee, Seongok Ryu, Sung Ju Hwang
2021	J	`jnl`	Hit and Lead Discovery with Explorative RL and Fragment-based Molecule Generation. CoRR Soojung Yang, Doyeong Hwang, Seul Lee, Seongok Ryu, Sung Ju Hwang
2020	J	`jnl`	A comprehensive study on the prediction reliability of graph neural networks for virtual screening. CoRR Soojung Yang, Kyung-Hoon Lee, Seongok Ryu
2020	J	`jnl`	Comprehensive Study on Molecular Supervised Learning with Graph Neural Networks. J. Chem. Inf. Model. Doyeong Hwang, Soojung Yang, Yongchan Kwon, Kyung-Hoon Lee, Grace Lee, Hanseok Jo, Seyeol Yoon, Seongok Ryu
2020	J	`jnl`	PIGNet: A physics-informed deep learning model toward generalized drug-target interaction predictions. CoRR Seokhyun Moon, Wonho Zhung, Soojung Yang, Jaechang Lim, Woo Youn Kim