관련 연구실
등급은 학회·저널 분류이며 연구실 순위가 아닙니다.
- SNUAI for Science
김선BHI Lab
관련 논문 30편비중 51%연구 분야에 명시- 2026SubDyve: Subgraph-Driven Dynamic Propagation for Virtual Screening Enhancement Controlling False Positive ICLR
- 2026CAREPath: Semantic Context-Aware Reasoning Paths with Mechanism-Augmented Embeddings for Drug Repurposing Briefings in Bioinformatics
- 2026EnsDTI: Predicting Drug-Target Interaction with Mixture-of-Experts and Confidence Assessment IEEE TCBB
- KAISTAI for Science
김우연Intelligent Chemistry Lab
관련 논문 15편비중 42%연구 분야에 명시- 2026Autonomous bioisosteric replacement for multi-property optimization in drug design Nature Communications
- 2026FragFM: Hierarchical Framework for Efficient Molecule Generation via Fragment-Level Discrete Flow Matching ICLR
- 2026Riemannian denoising model for molecular structure optimization with chemical accuracy Nature Computational Science
- Yonsei데이터 마이닝
박상현DELAB
관련 논문 14편비중 30%연구 분야에 명시- 2026LeakGFN: Robust Molecular Generation in Generative Flow Networks via Flow Decomposition ICML
- 2026PharDiff: Pharmacophore-aware Diffusion Model for Pocket Specific Three-Dimensional Molecular Generation ACM SAC
- 2026TheSelective: Dual Affinity–Guided Diffusion for Selective Molecular Generation PAKDD
- KAIST머신러닝
안성수SPML Lab
관련 논문 7편비중 15%연구 분야에 명시- 2026A Systematic Evaluation of Co-folding Model Representations for Small-Molecule Learning NeurIPS
- 2026Learning Flexible Forward Trajectories for Masked Molecular Diffusion ICLR
- 2025Generative Flows on Synthetic Pathway for Drug Design ICLR
- KUAI for Science
감태의Medical AI Lab
관련 논문 9편비중 13%- 2026Advancing Molecular Structure Elucidation for Mass Spectrum Interpretation via Cepstral Analysis ICEIC
- 2026FACT: Functional Group Alignment and Consistency in Token Space for Structure-aware Molecular Representation Learning ACL
- 2025Offline Model-based Optimization for Real-World Molecular Discovery ICML
- SNUAI for Science
정유성MICC Lab
관련 논문 4편비중 9%연구 분야에 명시- 2026SynTwins: A Retrosynthesis-Guided Framework for Synthesizable Molecular Analog Generation Chem. Sci
- 2025Unveiling high-performance hosts for blue OLEDs via deep learning and high-throughput virtual screening Chem. Eng. J
- 2024Estimating the synthetic accessibility of molecules with building block and reaction-aware SAScore Journal of Cheminformatics
- KAIST머신러닝
신진우ALIN Lab
관련 논문 8편비중 6%- 2026Learning Flexible Forward Trajectories for Masked Molecular Diffusion ICLR
- 2025Training Text-to-Molecule Models with Context-Aware Tokenization EMNLP Findings
- 2024Conditional Synthesis of 3D Molecules with Time Correction Sampler NeurIPS
- KAIST데이터 마이닝
박찬영DSAIL
관련 논문 7편비중 7%- 2026RAG-Enhanced Collaborative LLM Agents for Drug Discovery AAAI
- 20253D Interaction Geometric Pre-training for Molecular Relational Learning NeurIPS
- 2025Electron-Informed Coarse-Graining Molecular Representation Learning for Real-World Molecular Physics KDD
- YonseiAI for Science2026 업데이트 중
남호정BIIL
관련 논문 3편비중 25%연구 분야에 명시- 2025A genotype-to-drug diffusion model for generation of tailored anti-cancer small molecules Nature Communications
- 2025DD-PRiSM: A Deep Learning Framework for Decomposition and Prediction of Synergistic Drug Combinations Briefings in Bioinformatics
- 2023GraphATT-DTA: attention-based novel representation of interaction to predict drug-target binding affinity Biomedicines
- KU자연어처리·LLM
이상근Data Intelligence Lab
관련 논문 4편비중 11%- 2026MolSC: Leveraging Substituent Contributions to Enhance Fine-grained Molecular Understanding in LLMs EMNLP
- 2025Bridging the Gap Between Molecule and Textual Descriptions via Substructure-aware Alignment EMNLP
- 2024MolTRES: Improving Chemical Language Representation Learning for Molecular Property Prediction EMNLP
- KU머신러닝
김성웅, 임성빈AGI Lab
관련 논문 3편비중 9%- 2026MolDesignBench: Evaluating LLM-based Agent for Scenario-grounded Molecular Design COLM
- 2025Mol-LLM: Multimodal Generalist Molecular LLM with Improved Graph Utilization NeurIPS
- 2024Scalable Multi-Task Transfer Learning for Molecular Property Prediction ICML
- KAISTAI for Science
예종철BISPL
관련 논문 3편비중 3%- 2026PACE-RAG: Patient-Aware Contextual and Evidence-Constrained RAG for Clinical Drug Recommendation EMNLP Findings
- 2025LDMol: Text-to-Molecule Diffusion Model with Structurally Informative Latent Space Space Surpass the AR Models ICML
- 2024Bidirectional generation of structure and properties through a single molecular foundation model Nature Communications
- KAIST머신러닝
황성주MLAI Lab
관련 논문 3편비중 3%- 2026Synthon Contrastive Learning for Synthesizable 3D Molecule Generation NeurIPS
- 2025Mol-LLaMA: Towards General Understanding of Molecules in Large Molecular Language Model NeurIPS
- 2024Drug Discovery with Dynamic Goal-aware Fragments ICML
- SNU데이터 마이닝
박현우DIAL Lab
관련 논문 3편비중 8%- 2025Are All Generic Drugs Created Equal? An Empirical Analysis of Generic Drug Manufacturing Location and Serious Drug Adverse Events Production and Operations Management
- 2025Obligatory responses to FDA inspection outcomes and future drug shortages Manufacturing & Service Operations Management
- 2024Gender and Serious Drug Recalls: A Textual Sentiment Analysis of Drug Reviews on WebMD Production and Operations Management
- SNUAI for Science
백민경Laboratory of Computational Structural and Systems Biology
연구 분야에 명시 - SNUAI for Science
김경수AIBL
관련 논문 2편비중 6%- 2026Engineering IL-21 secretion in T cells using druggable ligand-responsive stabilized domains Scientific Reports
- 2025HybridLinker: Topology-Guided Posterior Sampling for Enhanced Diversity and Validity in 3D Molecular Linker Generation ICML
- POSTECH머신러닝
김동우, 옥정슬, 박상돈, 박은혁ML Lab
관련 논문 3편비중 3%- 2025Enhancing Ligand Validity and Affinity in Structure-Based Drug Design with Multi-Reward Optimization ICML
- 2024Fragment-based Multi-view Molecular Contrastive Learning TMLR
- 2023Contrastive Learning of Molecular Representation with Fragmented Views ICLR
- KAIST컴퓨터 비전
김현우MLV Lab
관련 논문 2편비중 3%- 2026Improving Large Molecular Language Model via Relation-aware Multimodal Collaboration AAAI
- 2024LLaMo: Large Language Model-based Molecular Graph Assistant NeurIPS
- KAIST머신러닝
윤세영OSI Lab
관련 논문 2편비중 1%- 2026MolHIT: Advancing Molecular-Graph Generation with Hierarchical Discrete Diffusion Models NeurIPS
- 2024Conditional Synthesis of 3D Molecules with Time Correction Sampler NeurIPS
- KAIST머신러닝
양은호MLI Lab
관련 논문 2편비중 3%- 2025ReBind: Enhancing Ground-state Molecular Conformation Prediction via Force-Based Graph Rewiring ICLR
- 2025HybridLinker: Topology-Guided Posterior Sampling for Enhanced Diversity and Validity in 3D Molecular Linker Generation ICML
- KAIST머신러닝
박진규System Intelligence Lab
관련 논문 2편비중 4%- 2025Generative Flows on Synthetic Pathways for Drug Design ICLR
- 2024Genetic-guided GFlowNets for Sample Efficient Molecular Optimization NeurIPS
- KAIST머신러닝
이주호SIML Lab
관련 논문 1편비중 1%- 2026Permutation-symmetrized diffusion for unconditional molecular generation ICLR
- KU머신러닝
이성환PRML Lab
관련 논문 1편비중 1%- 2026ChemFixer: Correcting Invalid Molecules to Unlock Previously Unseen Chemical Space IEEE JBHI
- Yonsei머신러닝
송경우MLAI Lab
관련 논문 1편비중 1%- 2026Evaluating In-Context Learning in Large Language Models for Molecular Property Regression Journal of Computational Chemistry
- SNUAI for Science
백대현Laboratory of Computational Biology
관련 논문 1편비중 10%- 2025Comprehensive discovery of m6A sites in the human transcriptome at single-molecule resolution Nature Communications
- SNU컴퓨터 비전
이준석VIP Lab
관련 논문 2편비중 4%- 2023Towards Physically Reliable Molecular Representation Learning UAI
- 2023Hybrid Diffusions for Stable Molecular Structure Generation via Explicit Energy-based Model ICML
- KAIST컴퓨터 비전
홍승훈Vision and Learning Lab
관련 논문 1편비중 3%- 20253D Denoisers are Good 2D Teachers: Molecular Pretraining via Denoising and Cross-Modal Distillation AAAI
- Yonsei자연어처리·LLM
김재형ML3 Lab
관련 논문 1편비중 2%- 2025Structural Reasoning Improves Molecular Understanding of LLM ACL
- SNU머신러닝
윤성로AI Lab
관련 논문 2편비중 2%- 2023Deep Contrastive Learning of Molecular Conformation for Efficient Property Prediction Nature Computational Science
- 2023GeoT: A Geometry-aware Transformer for Reliable Molecular Property Prediction and Chemically Interpretable Representation Learning ACS Omega
- KAIST데이터 마이닝
박노성BigDyL
관련 논문 1편비중 1%- 2025Predicting Drug-Drug Interactions: A Deep Learning Approach with GCN-Based Collaborative Filtering Artificial Intelligence in Medicine
- Yonsei자연어처리·LLM
이동하DLI Lab
관련 논문 1편비중 2%- 2023Learning Topology-Specific Experts for Molecular Property Prediction AAAI
- SNU자연어처리·LLM
정교민MI Lab
관련 논문 1편비중 1%- 2023Automatic Extraction of Comprehensive Drug Safety Information from Adverse Drug Event Narratives in the Korea Adverse Event Reporting System Using Natural Language Processing Techniques Drug Safety
- KAIST컴퓨터 비전
주재걸DAVIAN Lab
관련 논문 1편비중 1%- 2023Towards Physically Reliable Molecular Representation Learning UAI