주제로 연구실 찾기

1. SNU·데이터 마이닝

   강필성DSBA Lab

   관련도관련 논문 12편비중 29%
   • 2026COMET: Codebook-based Online-adaptive Multi-scale Embedding for Time-series Anomaly DetectionNeurIPS
   • 2026DeCoFlow: Structural Decomposition of Normalizing Flows for Continual Anomaly DetectionECCV
   • 2026Domain Adaptation of Attention Heads for Zero-shot Anomaly DetectionComputer Vision and Image Understanding
2. SNU·데이터 마이닝

   유재민Data AI Lab

   관련도관련 논문 6편비중 22%연구 분야에 명시
   • 2025Self-Tuning Self-Supervised Image Anomaly DetectionKDD
   • 2025TSA on AutoPilot: Self-tuning Self-supervised Time Series Anomaly DetectionSDM
   • 2024Rethinking Reconstruction-based Graph-level Anomaly Detectors: Limitations and a RemedyNeurIPS
3. KAIST·머신러닝

   김희영Engineering Data Science Lab

   관련도관련 논문 5편비중 16%연구 분야에 명시
   • 2026GT-PSSM: Unified Probabilistic Framework for Stochastic Dynamics Modeling and Dependency Learning in Multivariate Time Series Anomaly DetectionCIKM
   • 2026Knowledge-Assisted Multi-Graph Dependency Learning for Multivariate Time Series Anomaly Detection in Multi-Stage Industrial ProcessesIEEE TASE
   • 2023Contextual anomaly detection for high-dimensional data using Dirichlet process variational autoencoderIISE Transactions
4. Yonsei·데이터 마이닝

   박상현DELAB

   관련도관련 논문 7편비중 15%
   • 2026AnyAnomaly: Zero-Shot Customizable Video Anomaly Detection with LVLMWACV
   • 2026Unified Video Anomaly Detection Model for Detecting Different Anomaly TypesWACV
   • 2025MDVAD: Multimodal Diffusion for Video Anomaly DetectionPAKDD
5. SNU·데이터 마이닝

   박현우DIAL Lab

   관련도관련 논문 5편비중 13%
   • 2026Redefining Maritime Anomaly Detection via Equation-Grounded Synthetic AnomaliesKDD
   • 2026Domain-Prior-Regularized Graph Modeling for Anomaly Detection in Cyber-Physical SystemsICML
   • 2025STGVAD: Spatio-Temporal Graph-based Vessel Behavior Anomaly DetectionIEEE Access
6. KAIST·데이터 마이닝

   박노성BigDyL

   관련도관련 논문 6편비중 8%
   • 2026Point-wise Anomaly Detection via Fold-bifurcation ODEICLR
   • 2025FraudCenGCL: Enhancing Fraud Detection via Dual-View Graph Contrastive Learning with Account Centrality FeaturesAAAI
   • 2025FrAug: Enhanced Fraud Detection in Interbank Transfers via Augmented Account FeaturesAAAI
7. SNU·머신러닝

   윤성로AI Lab

   관련도관련 논문 5편비중 5%
   • 2026CANDI: Curated Test-time Adaptation for Multivariate Time-series Anomaly Detection under Distribution ShiftAAAI
   • 2025Causality-Aware Contrastive Learning for Robust Multivariate Time-Series Anomaly DetectionICML
   • 2024CKNN: Cleansed k-Nearest Neighbor for Unsupervised Video Anomaly DetectionCIKM
8. KU·머신러닝

   정종헌TAIL

   관련도관련 논문 2편비중 9%연구 분야에 명시
   • 2024Few-shot Anomaly Detection via PersonalizationIEEE Access
   • 2023WinCLIP: Zero-/Few-Shot Anomaly Classification and SegmentationCVPR
9. Yonsei·머신러닝

   조성배SCLAB

   관련도관련 논문 4편비중 6%
   • 2026Hyperbolic Spatio-Temporal Representation Learning for Unsupervised Video Anomaly DetectionICPR
   • 2025Unsupervised Video Anomaly Detection by Memory Network with Autoencoders in Euclidean and Non-Euclidean SpacesPattern Recognition
   • 2024Multi-Instance Attention Network for Anomaly Detection from Multivariate Time SeriesCybernetics and Systems
10. KAIST·데이터 마이닝

    이재길Data Mining Lab

    관련도관련 논문 4편비중 10%
    • 2025Neural Architecture Search for Anomaly Detection in Multivariate Time SeriesIEEE TETCI
    • 2024Breaking the Time-Frequency Granularity Discrepancy in Time-Series Anomaly DetectionWWW
    • 2023Context-Aware Deep Time-Series Decomposition for Anomaly Detection in BusinessesECML-PKDD
11. KAIST·컴퓨터 비전

    김승룡CV Lab

    관련도관련 논문 2편비중 2%
    • 2026CHIMERA: Controllable High-quality Image-Mask Extraction for Reliable Diffusion-Based Anomaly SynthesisAAAI
    • 2026RobustVGGT: Emergent Outlier View Rejection in Visual Geometry Grounded TransformersCVPR
12. KAIST·컴퓨터 비전

    주재걸DAVIAN Lab

    관련도관련 논문 3편비중 2%
    • 2025Delving into Large Language Models for Effective Time-Series Anomaly DetectionNeurIPS
    • 2024When Model Meets New Normals: Test-time Adaptation for Unsupervised Time-series Anomaly DetectionAAAI
    • 2023Training Auxiliary Prototypical Classifiers for Explainable Anomaly Detection in Medical Image SegmentationWACV
13. KU·머신러닝

    이성환PRML Lab

    관련도관련 논문 3편비중 2%
    • 2025Diversify and Conquer: Open-set Disagreement for Robust Semi-supervised Learning with OutliersIEEE TNNLS
    • 2024Edge Conditional Node Update Graph Neural Network for Multi-variate Time Series Anomaly DetectionInformation Sciences
    • 2023Dissimilate-and-assimilate strategy for video anomaly detection and localizationNeurocomputing
14. KAIST·데이터 마이닝

    신기정Data Mining Lab

    관련도관련 논문 3편비중 3%
    • 2024Rethinking Reconstruction-based Graph-Level Anomaly Detection: Limitations and a Simple RemedyNeurIPS
    • 2024SLADE: Detecting Dynamic Anomalies in Edge Streams without Labels via Self-Supervised LearningKDD
    • 2024Random Walk with Restart on Hypergraphs: Fast Computation and an Application to Anomaly DetectionData Mining and Knowledge Discovery
15. POSTECH·음성·오디오

    서영주AIoT Lab

    관련도관련 논문 2편비중 6%
    • 2025Domain Generalized Open-Set Fault Detection and Diagnosis for Belt Conveyor Systems with Prototype LearningIEEE Access
    • 2025MIRA: A Transformer-Based Framework for Idler Roller Anomaly Detection and LocalizationSensors
16. KAIST·머신러닝

    신진우ALIN Lab

    관련도관련 논문 3편비중 2%
    • 2025CLIP Meets Diffusion: A Synergistic Approach to Anomaly DetectionTMLR
    • 2023WinCLIP: Zero-/Few-Shot Anomaly Classification and SegmentationCVPR
    • 2023Few-shot Anomaly Detection via PersonalizationICML
17. SNU·AI for Science

    김경수AIBL

    관련도관련 논문 2편비중 6%
    • 2026Enhancing Generative Networks for Chest Anomaly Localization through Automatic Registration-Based Unpaired-to-Pseudo-Paired Training Data TranslationScientific Reports
    • 20233D unsupervised anomaly detection and localization through virtual multi-view projection and reconstruction: Clinical validation on low-dose chest computed tomographyExpert Systems with Applications
18. KU·인간-AI 상호작용

    서승호HUI

    관련도관련 논문 2편비중 3%
    • 2025SPACE: SPAtial-aware Consistency rEgularization for anomaly detection in Industrial applicationsWACV
    • 2024An Empirical Study on Fault Detection and Root Cause Analysis of Indium Tin Oxide Electrodes by Processing S-parameter PatternsIEEE Transactions on Device and Materials Reliability
19. KAIST·데이터 마이닝

    황지영Big Data Intelligence Lab

    관련도관련 논문 2편비중 10%
    • 2025Unveiling the Threat of Fraud Gangs to Graph Neural Networks: Multi-Target Graph Injection Attacks against GNN-Based Fraud DetectorsAAAI
    • 2023Dynamic Relation-Attentive Graph Neural Networks for Fraud DetectionICDM
20. SNU·머신러닝2026 업데이트 중

    강명주NCIA Lab

    관련도관련 논문 2편비중 5%
    • 2025Enhancing Wafer Probing With SwinProbeFormer: Self-Supervised Anomaly Detection via Window-Based Swin TransformerIEEE Access
    • 2023AnomalyBERT: Self-Supervised Transformer for Time Series Anomaly Detection using Data Degradation SchemeICLR
21. KU·컴퓨터 비전

    박경문VGI Lab

    관련도관련 논문 2편비중 4%
    • 2025When Will It Fail?: Anomaly to Prompt for Forecasting Future Anomalies in Time SeriesICML
    • 2023Time Series Anomaly Detection using Transformer-based GAN with Two-Step MaskingIEEE Access
22. KU·머신러닝

    이창희AIX

    관련도관련 논문 2편비중 5%
    • 2024Enhancing Anomaly Detection via Generating Diversified and Hard-to-distinguish Synthetic AnomaliesCIKM
    • 2024Time-series Anomaly Detection based on Imputation in the Latent SpaceICTC
23. POSTECH·머신러닝

    이남훈Computational Optimization Lab

    관련도관련 논문 1편비중 4%
    • 2026Advancing Semiconductor Inspection: A New Dataset and Approach for Robust Anomaly Detection with Large Vision Language ModelsBMVC
24. POSTECH·데이터 마이닝

    한욱신Data Systems Lab

    관련도관련 논문 1편비중 4%
    • 2025MAD: Multimodal Framework for Adaptive Time-Series Anomaly DetectionIEEE BigData
25. SNU·AI 시스템

    김재준VLSI Lab

    관련도관련 논문 1편비중 2%
    • 2025Integer Unit-based Outlier-Aware LLM Accelerator Preserving Numerical Accuracy of FP-FP GEMMDATE
26. KAIST·컴퓨터 비전

    김준모SIIT Lab

    관련도관련 논문 1편비중 1%
    • 2025DMQ: Dissecting Outliers of Diffusion Models for Post-Training QuantizationICCV
27. SNU·머신러닝

    김용대IDEA Lab

    관련도관련 논문 1편비중 4%
    • 2024ODIM: Outlier Detection via Likelihood of Under-Fitted Generative ModelsICML
28. KU·로보틱스

    최성준Robot Intelligence Lab

    관련도관련 논문 1편비중 3%
    • 2024Generalized Outlier Exposure: Towards a Trustworthy Out-of-Distribution Detector without Sacrificing AccuracyNeurocomputing
29. Yonsei·컴퓨터 비전

    이종석MCML Group

    관련도관련 논문 1편비중 3%
    • 2024Anomaly score: Evaluating generative models and individual generated images based on complexity and vulnerabilityCVPR
30. SNU·인간-AI 상호작용

    서봉원Human Centered Computing Lab

    관련도관련 논문 1편비중 2%
    • 2024LEX-GNN: Label-Exploring Graph Neural Network for Accurate Fraud DetectionCIKM
31. POSTECH·머신러닝

    이재호EffL Lab

    관련도관련 논문 1편비중 3%
    • 2024Prefixing Attention Sinks can Mitigate Activation Outliers for Large Language Model QuantizationEMNLP
32. Yonsei·AI 시스템

    김상엽EASY Lab

    관련도관련 논문 1편비중 2%
    • 2024NeRF-Navi: A 93.6-202.9μJ/task Switchable Approximate-Accurate NeRF Path Planning Processor with Dual Attention Engine and Outlier Bit-Offloading CoreVLSI Symposium
33. Yonsei·컴퓨터 비전

    박은병V-Lab

    관련도관련 논문 1편비중 3%
    • 2024Continuous Memory Representation for Anomaly DetectionECCV
34. SNU·로보틱스

    박종우FCP Robotics Lab

    관련도관련 논문 1편비중 5%
    • 2023Energy-Based Models for Anomaly Detection: A Manifold Diffusion Recovery ApproachNeurIPS
35. SNU·머신러닝

    송현오Machine Learning Lab

    관련도관련 논문 1편비중 6%
    • 2023Neural Relation Graph: A Unified Framework for Identifying Label Noise and Outlier DataNeurIPS
36. Yonsei·AI 시스템

    차호정MOBED

    관련도관련 논문 1편비중 5%
    • 2023Detecting Structural Anomalies of Quadcopter UAVs based on LSTM AutoencoderPervasive and Mobile Computing
37. KAIST·컴퓨터 비전

    김태균CV & Learning Lab

    관련도관련 논문 1편비중 3%
    • 2023Contrastive Knowledge Distillation for Anomaly Detection in Multi-Illumination/Focus Display ImagesMVA
38. KAIST·데이터 마이닝

    박찬영DSAIL

    관련도관련 논문 1편비중 1%
    • 2023Class Label-aware Graph Anomaly DetectionCIKM
39. KAIST·컴퓨터 비전

    오태현AMI Lab

    관련도관련 논문 1편비중 1%
    • 2023An Iterative Method for Unsupervised Robust Anomaly Detection under Data ContaminationIEEE TNNLS
40. POSTECH·머신러닝

    김동우, 옥정슬, 박상돈, 박은혁ML Lab

    관련도관련 논문 1편비중 1%
    • 2023Activity-informed Industrial Audio Anomaly Detection via Source SeparationICASSP

2026 논문이 아직 반영되지 않은 연구실은 결과에서 불리할 수 있어요.