주제로 연구실 찾기

1. KAIST·데이터 마이닝

   황의종Data Intelligence Lab

   관련도관련 논문 6편비중 25%연구 분야에 명시
   • 2026GradMix: Gradient-based Selective Mixup for Robust Data Augmentation in Class-Incremental LearningKDD
   • 2026RoDAC: A Robust Data-centric Anti-Cheat Framework for Fair Online Competitive GamingKDD
   • 2025MIDAS: Misalignment-based Data Augmentation Strategy for Imbalanced Multimodal LearningNeurIPS
2. KAIST·컴퓨터 비전

   오태현AMI Lab

   관련도관련 논문 4편비중 4%연구 분야에 명시
   • 2026How Far Can We Go With Synthetic Data for Audio-Visual Sound Source Localization?CVPR
   • 2025SYNAuG: Exploiting Synthetic Data for Data Imbalance ProblemsPattern Recognition Letters
   • 2024The Devil in the Details: Simple and Effective Optical Flow Synthetic Data GenerationThe Visual Computer
3. KAIST·머신러닝

   문재균

   관련도관련 논문 4편비중 20%
   • 2026PruneFuse: Efficient Data Selection via Weight Pruning and Network FusionTMLR
   • 2026Efficient Data Selection for Split Neural NetworksICML
   • 2026Router-Guided Data Selection for Efficient Deep LearningICML
4. KAIST·데이터 마이닝

   신기정Data Mining Lab

   관련도관련 논문 4편비중 4%
   • 2026Effective Dataset Distillation for Spatio-Temporal Forecasting with Bi-dimensional CompressionICDE
   • 2026Improving Rare Medication Recommendation with Counterfactual Data Augmentation and Large Language ModelsRecSys
   • 2026Sequential Data Augmentation for Generative RecommendationWSDM
5. KAIST·컴퓨터 비전

   윤국진VI Lab

   관련도관련 논문 4편비중 4%
   • 2026Distill Once, Adapt Life-Long: Exploring Dataset Distillation for Continual Test-Time AdaptationECCV
   • 2026FrozenDrive: Zero-Shot Text-Guided Driving Scene Generation and Data Augmentation with Parameter-Free Frozen Diffusion ModelECCV
   • 2026Multimodal Distribution Matching for Vision-Language Dataset DistillationCVPR
6. KAIST·데이터 마이닝

   이재길Data Mining Lab

   관련도관련 논문 4편비중 10%연구 분야에 명시
   • 2025Sample-Efficient Multi-Round Generative Data Augmentation for Long-Tail Instance SegmentationNeurIPS
   • 2024Toward Robustness in Multi-label Classification: A Data Augmentation Strategy against Imbalance and NoiseAAAI
   • 2023Data Collection and Quality Challenges in Deep Learning: A Data-Centric AI PerspectiveVLDB
7. KAIST·머신러닝

   정혜원IIDS Lab

   관련도관련 논문 4편비중 17%
   • 2026InfCLIP: Unified Data Valuation for CLIP Pretraining via Influence-Inspired ScoringNeurIPS
   • 2025CovMatch: Cross-Covariance Guided Multimodal Dataset Distillation with Trainable Text EncoderNeurIPS
   • 2024SelMatch: Effectively Scaling Up Dataset Distillation via Selection-Based Initialization and Partial Updates by Trajectory MatchingICML
8. KAIST·머신러닝

   문일철AAI Lab

   관련도관련 논문 2편비중 5%연구 분야에 명시
   • 2024Dirichlet-based Per-Sample Weighting by Transition Matrix for Noisy Label LearningICLR
   • 2023Frequency Domain-based Dataset DistillationNeurIPS
9. KAIST·머신러닝

   윤세영OSI Lab

   관련도관련 논문 6편비중 4%
   • 2024Fine-tuning Pre-trained Models for Robustness Under Noisy LabelsIJCAI
   • 2024FLR: Label-Mixture Regularization for Federated Learning with Noisy LabelsTMLR
   • 2023A Gift from Label Smoothing: Robust Training with Adaptive Label Smoothing via Auxiliary Classifier under Label NoiseAAAI
10. KAIST·컴퓨터 비전

    심현정CVML Lab

    관련도관련 논문 4편비중 8%
    • 2025MaskRIS: Semantic Distortion-aware Data Augmentation for Referring Image SegmentationTMLR
    • 2025Label-Augmented Dataset DistillationWACV
    • 2024Rethinking Data Augmentation for Robust LiDAR Semantic Segmentation in Adverse WeatherECCV
11. SNU·머신러닝

    이정우CML Lab

    관련도관련 논문 3편비중 6%
    • 2026An Adaptive Sampling Framework for Diffusion-based Dataset Distillation with High Fidelity and DiversityAAAI
    • 2025EDAS: Effective Data Augmentation Strategies for Test-Time AdaptationICT Express
    • 2024Instance-Dependent Multi-Label Noise Generation for Multi-Label Remote Sensing Image ClassificationIEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
12. KAIST·머신러닝

    이주호SIML Lab

    관련도관련 논문 3편비중 4%
    • 2026Generative active learning via Bayesian acquisition for improving the efficiency of synthetic dataNeurIPS
    • 2025HarmAug: effective data augmentation for knowledge distillation of safety guard modelsICLR
    • 2024Self-supervised dataset distillation for transfer learningICLR
13. KU·자연어처리·LLM

    임희석NLP&AI Lab

    관련도관련 논문 5편비중 5%
    • 2025LimaCost: Data Valuation for Instruction Tuning of Large Language ModelsEMNLP Findings
    • 2023CHEF in the Language Kitchen: A Generative Data Augmentation Leveraging Korean Morpheme IngredientsEMNLP
    • 2023Data-Driven Approach for Formality-Sensitive Machine Translation: Language-Specific Handling and Synthetic Data GenerationICML
14. KU·인간-AI 상호작용

    서승호HUI

    관련도관련 논문 3편비중 5%
    • 2026COA-HAR: Exploring Contrastive Online test-time Adaptation for wearable sensor-based Human Activity Recognition using sensor data augmentationExpert Systems with Applications
    • 2024ContextMix: A context-aware data augmentation method for industrial visual inspection systemsEngineering Applications of Artificial Intelligence
    • 2024Sensor Data Augmentation from Skeleton Pose Sequences for Improving Human Activity RecognitionABC
15. KAIST·자연어처리·LLM

    김현우COCO Lab

    관련도연구 분야에 명시
16. KU·컴퓨터 비전

    김동현UTL Lab

    관련도관련 논문 3편비중 7%
    • 2025Learning Compositionality from Multifaceted Synthetic Data for Language-based Object DetectionIJCV
    • 2025SynRES: Towards Referring Expression Segmentation in the Wild via Synthetic DataICCV
    • 2023Going Beyond Nouns With Vision & Language Models Using Synthetic DataICCV
17. KAIST·컴퓨터 비전

    김준모SIIT Lab

    관련도관련 논문 3편비중 4%
    • 2025SynAD: Enhancing Real-World End-to-End Autonomous Driving Models through Synthetic Data IntegrationICCV
    • 2024ContextMix: A Context-Aware Data Augmentation Method for Industrial Visual Inspection SystemsEngineering Applications of Artificial Intelligence
    • 2024Neural Vicinal Risk Minimization: Noise-robust Distillation for Noisy LabelsIJCAI
18. KAIST·머신러닝

    황성주MLAI Lab

    관련도관련 논문 3편비중 3%
    • 2025HarmAug: Effective Data Augmentation for Knowledge Distillation of Safety Guard ModelsICLR
    • 2024Concept-skill Transferability-based Data Selection for Large Vision-Language ModelsEMNLP
    • 2024Self-Supervised Dataset Distillation for Transfer LearningICLR
19. KAIST·머신러닝

    신진우ALIN Lab

    관련도관련 논문 2편비중 2%
    • 2026Pose6DAug: Physically Plausible Multi-view Object Swapping for Robot Data AugmentationNeurIPS
    • 2025Controllable Blur Data Augmentation Using 3D-Aware Motion EstimationICLR
20. POSTECH·머신러닝

    김동우, 옥정슬, 박상돈, 박은혁ML Lab

    관련도관련 논문 2편비중 2%
    • 2026ChimeraLoRA: Multi-Head LoRA-Guided Synthetic DatasetsCVPR
    • 2025Delving into Instance-Dependent Label Noise in Graph Data: A Comprehensive Study and BenchmarkKDD
21. SNU·컴퓨터 비전

    김건희Vision & Learning Lab

    관련도관련 논문 2편비중 4%
    • 2026Weasel: Out-of-Domain Generalization for Web Agents via Importance-Diversity Data SelectionICML
    • 2024Sample Selection via Contrastive Fragmentation for Noisy Label RegressionNeurIPS
22. KAIST·자연어처리·LLM

    임경태MLP Lab

    관련도관련 논문 2편비중 5%
    • 2026Hidden Threat in Synthetic Data: Covert Targeted Bias Injection through Benign TextEMNLP
    • 2023Data Augmentation of X-ray Images for Automatic Cargo Inspection of Nuclear ItemsSensors
23. SNU·데이터 마이닝

    강유Data Mining Lab

    관련도관련 논문 2편비중 3%
    • 2025Threshold-Based Exploitation of Noisy Label in Black-box Unsupervised Domain AdaptationPLOS ONE
    • 2024Domain-Aware Data Selection for Speech Classification via Meta-ReweightingINTERSPEECH
24. SNU·AI 시스템

    정형수DBX Lab

    관련도관련 논문 1편비중 11%
    • 2026P2Cache: Enhancing Data-Centric Applications via Application-Guided Management of OS Page CachesACM Transactions on Storage
25. SNU·AI for Science

    김덕진SatGeo Lab

    관련도관련 논문 2편비중 3%
    • 2025Enhancing MIMO Radar Data Quality via Stereo-Camera-Guided Diffusion ModelsIEEE Sensors Journal
    • 2023SAR-specific Data Augmentation Methods for Deep Learning-based Automatic Target RecognitionInternational Symposium on Remote Sensing
26. SNU·음성·오디오

    이교구MARG

    관련도관련 논문 2편비중 3%
    • 2025Synthetic Dataset Generation for String Ensemble SeparationICASSP
    • 2023Self-Refining of Pseudo Labels for Music Source Separation with Noisy Labeled DataISMIR
27. POSTECH·AI for Science

    김원화, 류일우MIP Lab

    관련도관련 논문 2편비중 3%
    • 2025Adaptive Adversarial Data Augmentation with Trajectory Constraint for Alzheimer’s Disease Conversion PredictionMICCAI
    • 2023Anti-Adversarial Consistency Regularization for Data Augmentation: Applications to Robust Medical Image SegmentationMICCAI
28. SNU·인간-AI 상호작용

    권가진CC Lab

    관련도관련 논문 1편비중 5%
    • 2026Deriving Instructional Insights from Human–LLM Co-Evaluation of Student Collaboration in Data-Centric ProgrammingSIGCSE Technical Symposium
29. KAIST·머신러닝

    이기민

    관련도관련 논문 1편비중 2%
    • 2026Quality over Quantity: Demonstration Curation via Influence Functions for Data-Centric Robot LearningICRA
30. SNU·AI for Science

    손석우Weather and Climate Dynamics Lab

    관련도관련 논문 1편비중 1%
    • 2026Machine learning based prediction of tropical cyclone rapid intensification in the western north Pacific: Importance of data augmentation and loss functionJournal of Geophysical Research - Machine Learning and Computation
31. KAIST·음성·오디오

    정준선Multimodal AI Lab

    관련도관련 논문 1편비중 1%
    • 2026How Far Can We Go With Synthetic Data for Audio-Visual Sound Source Localization?CVPR
32. KAIST·컴퓨터 비전

    주재걸DAVIAN Lab

    관련도관련 논문 1편비중 1%
    • 2026AHS: Adaptive Head Synthesis via Synthetic Data AugmentationsCVPR
33. Yonsei·머신러닝

    송경우MLAI Lab

    관련도관련 논문 1편비중 1%
    • 2026Eigen-Value: Efficient Domain-Robust Data Valuation via Eigenvalue-Based ApproachCVPR Findings
34. Yonsei·머신러닝

    조성배SCLAB

    관련도관련 논문 1편비중 1%
    • 2026Adaptive Beam Search with Shannon Entropy for Data-centric Reasoning in LLMsPAKDD
35. KU·자연어처리·LLM

    정우환Autonomous AI Lab

    관련도관련 논문 1편비중 6%
    • 2025Data Augmentation for Messenger Phishing Detection Using Large Language ModelsICEIC
36. Yonsei·자연어처리·LLM

    한요섭TOC Lab

    관련도관련 논문 2편비중 4%
    • 2023Contrastive Learning with Keyword-based Data Augmentation for Code Search and Code Question AnsweringEACL
    • 2023GDA: Grammar-based Data Augmentation for Text Classification using Slot InformationEMNLP Findings
37. Yonsei·데이터 마이닝

    김하영MLCF Lab

    관련도관련 논문 1편비중 4%
    • 2025Data Augmentation with Flickering Backgrounds and Instances for Instance SegmentationIEEE Access
38. SNU·데이터 마이닝

    강필성DSBA Lab

    관련도관련 논문 1편비중 2%
    • 2025RobustMixGen: Data Augmentation for Enhancing Robustness of Visual-Language Models in the Presence of Distribution ShiftNeurocomputing
39. Yonsei·데이터 마이닝

    장백철ANDLab

    관련도관련 논문 1편비중 3%
    • 2025Accurate total consumer price index forecasting with data augmentation, multivariate features, and sentiment analysis: A case study in KoreaPLOS ONE
40. SNU·컴퓨터 비전

    조남익ISPL

    관련도관련 논문 1편비중 2%
    • 2025Dataset Distillation for Super-Resolution without Class Labels and Pre-trained ModelsIEEE SPL
41. KU·머신러닝2026 업데이트 중

    정원주Statistical Intelligence Lab

    관련도관련 논문 1편비중 14%
    • 2024Globally Conditioned Conditional FLOW (GCC-FLOW) for Sea Clutter Data AugmentationApplied Sciences
42. SNU·AI 시스템

    이재진THUNDER Research Group

    관련도관련 논문 1편비중 5%
    • 2024Generalizing Clinical De-identification Models by Privacy-safe Data Augmentation using GPT-4EMNLP
43. KAIST·머신러닝

    김기응AIPR Lab

    관련도관련 논문 1편비중 4%
    • 2024Data Augmentation with Diffusion for Open-Set Semi-Supervised LearningNeurIPS
44. KAIST·머신러닝

    김희영Engineering Data Science Lab

    관련도관련 논문 1편비중 3%
    • 2024Mixed-Type Defect Pattern Recognition in Noisy Labeled Wafer Bin MapsQuality Engineering
45. KU·음성·오디오

    김찬우SLPL

    관련도관련 논문 1편비중 4%
    • 2024Latent Filling: Latent Space Data Augmentation for Zero-Shot Speech SynthesisICASSP
46. SNU·컴퓨터 비전

    곽노준MIPAL Lab

    관련도관련 논문 1편비중 1%
    • 2024Practical Dataset Distillation Based on Deep Support VectorECCV
47. SNU·로보틱스

    최준원ADR Lab

    관련도관련 논문 1편비중 3%
    • 2024Distribution-Aware Robust Learning from Long-Tailed Data with Noisy LabelsECCV
48. KU·자연어처리·LLM

    이상근Data Intelligence Lab

    관련도관련 논문 1편비중 3%
    • 2024Towards Robust and Generalized Parameter-Efficient Fine-Tuning for Noisy Label LearningACL
49. Yonsei·자연어처리·LLM

    이동하DLI Lab

    관련도관련 논문 1편비중 2%
    • 2024Learning Discriminative Dynamics with Label Corruption for Noisy Label DetectionCVPR
50. SNU·머신러닝

    윤성로AI Lab

    관련도관련 논문 1편비중 1%
    • 2024SF(DA)²: Source-free Domain Adaptation Through the Lens of Data AugmentationICLR
51. KAIST·컴퓨터 비전

    김승룡CV Lab

    관련도관련 논문 1편비중 1%
    • 2024SplitNet: Learnable Clean-Noisy Label Splitting for Learning with Noisy LabelsIJCV
52. SNU·머신러닝

    송현오Machine Learning Lab

    관련도관련 논문 1편비중 6%
    • 2023Neural Relation Graph: A Unified Framework for Identifying Label Noise and Outlier DataNeurIPS
53. SNU·데이터 마이닝

    유재민Data AI Lab

    관련도관련 논문 1편비중 4%
    • 2023Data Augmentation is a Hyperparameter: Cherry-picked Self-Supervision for Unsupervised Anomaly Detection is Creating the Illusion of SuccessTMLR
54. SNU·머신러닝

    장병탁BI Lab

    관련도관련 논문 1편비중 1%
    • 2023Domain Adapted Broiler Density Map Estimation Using Negative-Patch Data AugmentationBiosystems Engineering
55. SNU·자연어처리·LLM

    정교민MI Lab

    관련도관련 논문 1편비중 1%
    • 2023Enhancing Cross-Domain Generalization through Data Augmentation with Reduced UncertaintyEMNLP
56. KAIST·머신러닝

    양은호MLI Lab

    관련도관련 논문 1편비중 1%
    • 2023WeavSpeech: Data Augmentation Strategy for Automatic Speech Recognition via Semantic-Aware WeavingICASSP
57. KU·머신러닝

    이성환PRML Lab

    관련도관련 논문 1편비중 1%
    • 2023SeriesSleepNet: An EEG Time Series Model with Partial Data Augmentation for Automatic Sleep Stage ScoringFrontiers in Physiology

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