주제로 연구실 찾기

1. SNU·AI for Science

   김선BHI Lab

   관련도관련 논문 30편비중 51%연구 분야에 명시
   • 2026SubDyve: Subgraph-Driven Dynamic Propagation for Virtual Screening Enhancement Controlling False PositiveICLR
   • 2026CAREPath: Semantic Context-Aware Reasoning Paths with Mechanism-Augmented Embeddings for Drug RepurposingBriefings in Bioinformatics
   • 2026EnsDTI: Predicting Drug-Target Interaction with Mixture-of-Experts and Confidence AssessmentIEEE TCBB
2. KAIST·AI for Science

   김우연Intelligent Chemistry Lab

   관련도관련 논문 15편비중 42%연구 분야에 명시
   • 2026Autonomous bioisosteric replacement for multi-property optimization in drug designNature Communications
   • 2026FragFM: Hierarchical Framework for Efficient Molecule Generation via Fragment-Level Discrete Flow MatchingICLR
   • 2026Riemannian denoising model for molecular structure optimization with chemical accuracyNature Computational Science
3. Yonsei·데이터 마이닝

   박상현DELAB

   관련도관련 논문 14편비중 30%연구 분야에 명시
   • 2026LeakGFN: Robust Molecular Generation in Generative Flow Networks via Flow DecompositionICML
   • 2026PharDiff: Pharmacophore-aware Diffusion Model for Pocket Specific Three-Dimensional Molecular GenerationACM SAC
   • 2026TheSelective: Dual Affinity–Guided Diffusion for Selective Molecular GenerationPAKDD
4. KAIST·머신러닝

   안성수SPML Lab

   관련도관련 논문 7편비중 15%연구 분야에 명시
   • 2026A Systematic Evaluation of Co-folding Model Representations for Small-Molecule LearningNeurIPS
   • 2026Learning Flexible Forward Trajectories for Masked Molecular DiffusionICLR
   • 2025Generative Flows on Synthetic Pathway for Drug DesignICLR
5. KU·AI for Science

   감태의Medical AI Lab

   관련도관련 논문 9편비중 13%
   • 2026Advancing Molecular Structure Elucidation for Mass Spectrum Interpretation via Cepstral AnalysisICEIC
   • 2026FACT: Functional Group Alignment and Consistency in Token Space for Structure-aware Molecular Representation LearningACL
   • 2025Offline Model-based Optimization for Real-World Molecular DiscoveryICML
6. SNU·AI for Science

   정유성MICC Lab

   관련도관련 논문 4편비중 9%연구 분야에 명시
   • 2026SynTwins: A Retrosynthesis-Guided Framework for Synthesizable Molecular Analog GenerationChem. Sci
   • 2025Unveiling high-performance hosts for blue OLEDs via deep learning and high-throughput virtual screeningChem. Eng. J
   • 2024Estimating the synthetic accessibility of molecules with building block and reaction-aware SAScoreJournal of Cheminformatics
7. KAIST·머신러닝

   신진우ALIN Lab

   관련도관련 논문 8편비중 6%
   • 2026Learning Flexible Forward Trajectories for Masked Molecular DiffusionICLR
   • 2025Training Text-to-Molecule Models with Context-Aware TokenizationEMNLP Findings
   • 2024Conditional Synthesis of 3D Molecules with Time Correction SamplerNeurIPS
8. KAIST·데이터 마이닝

   박찬영DSAIL

   관련도관련 논문 7편비중 7%
   • 2026RAG-Enhanced Collaborative LLM Agents for Drug DiscoveryAAAI
   • 20253D Interaction Geometric Pre-training for Molecular Relational LearningNeurIPS
   • 2025Electron-Informed Coarse-Graining Molecular Representation Learning for Real-World Molecular PhysicsKDD
9. Yonsei·AI for Science2026 업데이트 중

   남호정BIIL

   관련도관련 논문 3편비중 25%연구 분야에 명시
   • 2025A genotype-to-drug diffusion model for generation of tailored anti-cancer small moleculesNature Communications
   • 2025DD-PRiSM: A Deep Learning Framework for Decomposition and Prediction of Synergistic Drug CombinationsBriefings in Bioinformatics
   • 2023GraphATT-DTA: attention-based novel representation of interaction to predict drug-target binding affinityBiomedicines
10. KU·자연어처리·LLM

    이상근Data Intelligence Lab

    관련도관련 논문 4편비중 11%
    • 2026MolSC: Leveraging Substituent Contributions to Enhance Fine-grained Molecular Understanding in LLMsEMNLP
    • 2025Bridging the Gap Between Molecule and Textual Descriptions via Substructure-aware AlignmentEMNLP
    • 2024MolTRES: Improving Chemical Language Representation Learning for Molecular Property PredictionEMNLP
11. KU·머신러닝

    김성웅, 임성빈AGI Lab

    관련도관련 논문 3편비중 9%
    • 2026MolDesignBench: Evaluating LLM-based Agent for Scenario-grounded Molecular DesignCOLM
    • 2025Mol-LLM: Multimodal Generalist Molecular LLM with Improved Graph UtilizationNeurIPS
    • 2024Scalable Multi-Task Transfer Learning for Molecular Property PredictionICML
12. KAIST·AI for Science

    예종철BISPL

    관련도관련 논문 3편비중 3%
    • 2026PACE-RAG: Patient-Aware Contextual and Evidence-Constrained RAG for Clinical Drug RecommendationEMNLP Findings
    • 2025LDMol: Text-to-Molecule Diffusion Model with Structurally Informative Latent Space Space Surpass the AR ModelsICML
    • 2024Bidirectional generation of structure and properties through a single molecular foundation modelNature Communications
13. KAIST·머신러닝

    황성주MLAI Lab

    관련도관련 논문 3편비중 3%
    • 2026Synthon Contrastive Learning for Synthesizable 3D Molecule GenerationNeurIPS
    • 2025Mol-LLaMA: Towards General Understanding of Molecules in Large Molecular Language ModelNeurIPS
    • 2024Drug Discovery with Dynamic Goal-aware FragmentsICML
14. SNU·데이터 마이닝

    박현우DIAL Lab

    관련도관련 논문 3편비중 8%
    • 2025Are All Generic Drugs Created Equal? An Empirical Analysis of Generic Drug Manufacturing Location and Serious Drug Adverse EventsProduction and Operations Management
    • 2025Obligatory responses to FDA inspection outcomes and future drug shortagesManufacturing & Service Operations Management
    • 2024Gender and Serious Drug Recalls: A Textual Sentiment Analysis of Drug Reviews on WebMDProduction and Operations Management
15. SNU·AI for Science

    백민경Laboratory of Computational Structural and Systems Biology

    관련도연구 분야에 명시
16. SNU·AI for Science

    김경수AIBL

    관련도관련 논문 2편비중 6%
    • 2026Engineering IL-21 secretion in T cells using druggable ligand-responsive stabilized domainsScientific Reports
    • 2025HybridLinker: Topology-Guided Posterior Sampling for Enhanced Diversity and Validity in 3D Molecular Linker GenerationICML
17. POSTECH·머신러닝

    김동우, 옥정슬, 박상돈, 박은혁ML Lab

    관련도관련 논문 3편비중 3%
    • 2025Enhancing Ligand Validity and Affinity in Structure-Based Drug Design with Multi-Reward OptimizationICML
    • 2024Fragment-based Multi-view Molecular Contrastive LearningTMLR
    • 2023Contrastive Learning of Molecular Representation with Fragmented ViewsICLR
18. KAIST·컴퓨터 비전

    김현우MLV Lab

    관련도관련 논문 2편비중 3%
    • 2026Improving Large Molecular Language Model via Relation-aware Multimodal CollaborationAAAI
    • 2024LLaMo: Large Language Model-based Molecular Graph AssistantNeurIPS
19. KAIST·머신러닝

    윤세영OSI Lab

    관련도관련 논문 2편비중 1%
    • 2026MolHIT: Advancing Molecular-Graph Generation with Hierarchical Discrete Diffusion ModelsNeurIPS
    • 2024Conditional Synthesis of 3D Molecules with Time Correction SamplerNeurIPS
20. KAIST·머신러닝

    양은호MLI Lab

    관련도관련 논문 2편비중 3%
    • 2025ReBind: Enhancing Ground-state Molecular Conformation Prediction via Force-Based Graph RewiringICLR
    • 2025HybridLinker: Topology-Guided Posterior Sampling for Enhanced Diversity and Validity in 3D Molecular Linker GenerationICML
21. KAIST·머신러닝

    박진규System Intelligence Lab

    관련도관련 논문 2편비중 4%
    • 2025Generative Flows on Synthetic Pathways for Drug DesignICLR
    • 2024Genetic-guided GFlowNets for Sample Efficient Molecular OptimizationNeurIPS
22. KAIST·머신러닝

    이주호SIML Lab

    관련도관련 논문 1편비중 1%
    • 2026Permutation-symmetrized diffusion for unconditional molecular generationICLR
23. KU·머신러닝

    이성환PRML Lab

    관련도관련 논문 1편비중 1%
    • 2026ChemFixer: Correcting Invalid Molecules to Unlock Previously Unseen Chemical SpaceIEEE JBHI
24. Yonsei·머신러닝

    송경우MLAI Lab

    관련도관련 논문 1편비중 1%
    • 2026Evaluating In-Context Learning in Large Language Models for Molecular Property RegressionJournal of Computational Chemistry
25. SNU·AI for Science

    백대현Laboratory of Computational Biology

    관련도관련 논문 1편비중 10%
    • 2025Comprehensive discovery of m6A sites in the human transcriptome at single-molecule resolutionNature Communications
26. SNU·컴퓨터 비전

    이준석VIP Lab

    관련도관련 논문 2편비중 4%
    • 2023Towards Physically Reliable Molecular Representation LearningUAI
    • 2023Hybrid Diffusions for Stable Molecular Structure Generation via Explicit Energy-based ModelICML
27. KAIST·컴퓨터 비전

    홍승훈Vision and Learning Lab

    관련도관련 논문 1편비중 3%
    • 20253D Denoisers are Good 2D Teachers: Molecular Pretraining via Denoising and Cross-Modal DistillationAAAI
28. Yonsei·자연어처리·LLM

    김재형ML3 Lab

    관련도관련 논문 1편비중 2%
    • 2025Structural Reasoning Improves Molecular Understanding of LLMACL
29. SNU·머신러닝

    윤성로AI Lab

    관련도관련 논문 2편비중 2%
    • 2023Deep Contrastive Learning of Molecular Conformation for Efficient Property PredictionNature Computational Science
    • 2023GeoT: A Geometry-aware Transformer for Reliable Molecular Property Prediction and Chemically Interpretable Representation LearningACS Omega
30. KAIST·데이터 마이닝

    박노성BigDyL

    관련도관련 논문 1편비중 1%
    • 2025Predicting Drug-Drug Interactions: A Deep Learning Approach with GCN-Based Collaborative FilteringArtificial Intelligence in Medicine
31. Yonsei·자연어처리·LLM

    이동하DLI Lab

    관련도관련 논문 1편비중 2%
    • 2023Learning Topology-Specific Experts for Molecular Property PredictionAAAI
32. SNU·자연어처리·LLM

    정교민MI Lab

    관련도관련 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 TechniquesDrug Safety
33. KAIST·컴퓨터 비전

    주재걸DAVIAN Lab

    관련도관련 논문 1편비중 1%
    • 2023Towards Physically Reliable Molecular Representation LearningUAI

2026 논문이 아직 반영되지 않은 연구실은 결과에서 불리할 수 있어요.