Sangmin Seo

According to our database, Sangmin Seo authored at least 15 papers between 2021 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2025

Efficient Approximate Nearest Neighbor Search via Data-Adaptive Parameter Adjustment in Hierarchical Navigable Small Graphs.

Huijun Jin, Jieun Lee, Shengmin Piao, Sangmin Seo, Sein Kwon, Sanghyun Park

Proceedings of the Design, Automation & Test in Europe Conference, 2025

2024

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

J. Comput. Aided Mol. Des., December, 2024

K2vTune: A workload-aware configuration tuning for RocksDB.

Jieun Lee, Sangmin Seo, Jonghwan Choi, Sanghyun Park

Inf. Process. Manag., January, 2024

Pseq2Sites: Enhancing protein sequence-based ligand binding-site prediction accuracy via the deep convolutional network and attention mechanism.

Sangmin Seo, Jonghwan Choi, Seungyeon Choi, Jieun Lee, Chihyun Park, Sanghyun Park

Eng. Appl. Artif. Intell., January, 2024

PIDiff: Physics informed diffusion model for protein pocket-specific 3D molecular generation.

Seungyeon Choi, Sangmin Seo, Byung Ju Kim, Chihyun Park, Sanghyun Park

Comput. Biol. Medicine, 2024

Towards Workload-Specific Configuration Tuning via Meta-Learning for RocksDB.

Chanho Yearn, Jieun Lee, Sangmin Seo, Sanghyun Park

Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2024

DrDiff: Drug Response Prediction Through Controllable Diffusion-GE and Graph Attention Network.

Seungyeon Choi, Sangmin Seo, Jonghwan Choi, Chihyun Park, Sanghyun Park

Proceedings of the ECAI 2024 - 27th European Conference on Artificial Intelligence, 19-24 October 2024, Santiago de Compostela, Spain, 2024

SPIN: SE(3)-Invariant Physics Informed Network for Binding Affinity Prediction.

Seungyeon Choi, Sangmin Seo, Sanghyun Park

Proceedings of the ECAI 2024 - 27th European Conference on Artificial Intelligence, 19-24 October 2024, Santiago de Compostela, Spain, 2024

PretrainedBA: Enhancing Compound-Protein Binding Affinity Prediction Accuracy via Pre-training Large-Scale Interaction Information.

Sangmin Seo, Seungyeon Choi, Hwanhee Kim, Sanghyun Park

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2024

2023

COMA: efficient structure-constrained molecular generation using contractive and margin losses.

Jonghwan Choi, Sangmin Seo, Sanghyun Park

J. Cheminformatics, December, 2023

SELF-EdiT: Structure-constrained molecular optimisation using SELFIES editing transformer.

Shengmin Piao, Jonghwan Choi, Sangmin Seo, Sanghyun Park

Appl. Intell., November, 2023

DARK: Deep automatic Redis knobs tuning system depending on the persistence method.

Ju Yeon Seo, Kyeonghun Kim, Sangmin Seo, Sanghyun Park

Expert Syst. Appl., July, 2023

ReBADD-SE: Multi-objective molecular optimisation using SELFIES fragment and off-policy self-critical sequence training.

Jonghwan Choi, Sangmin Seo, Seungyeon Choi, Shengmin Piao, Chihyun Park, Sung Jin Ryu, Byung Ju Kim, Sanghyun Park

Comput. Biol. Medicine, May, 2023

2021

Binding affinity prediction for protein-ligand complex using deep attention mechanism based on intermolecular interactions.

Sangmin Seo, Jonghwan Choi, Sanghyun Park, Jaegyoon Ahn

BMC Bioinform., 2021

MolBit: De novo Drug Design via Binary Representations of SMILES for avoiding the Posterior Collapse Problem.

Jonghwan Choi, Sangmin Seo, Jinuk Park, Sanghyun Park

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021