주제로 연구실 찾기

1. KAIST·데이터 마이닝

   이재길Data Mining Lab

   관련도관련 논문 17편비중 44%연구 분야에 명시
   • 2026Compositional Spectral Prompts for LLM-based Online Time Series ForecastingCIKM
   • 2026STAAR: Spatio-Temporal Attention over Adaptive Regions for Traffic ForecastingCIKM
   • 2026Time-PEFT: Temporal and Multichannel Complexity-Based Fine-Tuning for Time-Series Foundation ModelsICML
2. KU·머신러닝

   이창희AIX

   관련도관련 논문 9편비중 23%연구 분야에 명시
   • 2026INSHAPE: Instance-Level Shapelets for Interpretable Time-Series ClassificationIJCAI
   • 2026TimeSeg: An Information-Theoretic Segment-Wise Explainer for Time-Series PredictionsICLR
   • 2026TimeTok: Granularity-Controllable Time-Series Generation via Hierarchical TokenizationNeurIPS
3. SNU·데이터 마이닝

   강필성DSBA Lab

   관련도관련 논문 9편비중 22%연구 분야에 명시
   • 2026COMET: Codebook-based Online-adaptive Multi-scale Embedding for Time-series Anomaly DetectionNeurIPS
   • 2025Granularity Fusion Transformer: Learning multi-granularity patterns for time-series forecastingKnowledge-Based Systems
   • 2024Multi-task Self-supervised Time-series Representation LearningInformation Sciences
4. KAIST·데이터 마이닝

   박노성BigDyL

   관련도관련 논문 8편비중 11%연구 분야에 명시
   • 2026TimeOperator: A Function-to-Function Approach to Time Series ModelingNeurIPS
   • 2025TSGM: Regular and Irregular Time-series Generation using Score-based Generative ModelsIEEE BigData
   • 2024Addressing Prediction Delays in Time Series Forecasting: A Continuous GRU Approach with Derivative RegularizationKDD
5. SNU·AI for Science

   손석우Weather and Climate Dynamics Lab

   관련도관련 논문 6편비중 6%연구 분야에 명시
   • 2026Data-driven forecasts of extreme weather in East Asia: feasibility of operational useWeather and Climate Extremes
   • 2026Forecast-based attribution of the role of stratospheric variability in weather extremesWeather and Climate Dynamics
   • 2025A process-based evaluation of biases in extratropical stratosphere-troposphere coupling in subseasonal forecast systemsWeather and Climate Dynamics
6. Yonsei·데이터 마이닝

   장백철ANDLab

   관련도관련 논문 7편비중 19%
   • 2026Beyond Similarity: Coverage-Aware Prompt Selection for Time Series Forecasting with LLMsEMNLP Findings
   • 2026Cell-Attentive LSTM with Lag-Aware Feature Selection for Multi-Week Epidemic ForecastingIEEE Access
   • 2026CTRL: Control-Based Time Series Forecasting with LLM-Guided Residual LearningACL Findings
7. Yonsei·머신러닝

   이기복Machine Learning Lab

   관련도관련 논문 7편비중 37%
   • 2026Dataset-Driven Channel Masks in Transformers for Multivariate Time SeriesICASSP
   • 2025Channel Normalization for Time Series Channel IdentificationICML
   • 2024ANT: Adaptive Noise Schedule for Time Series Diffusion ModelsNeurIPS
8. KAIST·머신러닝

   양은호MLI Lab

   관련도관련 논문 6편비중 8%
   • 2026Delta-XAI: A Unified Framework for Explaining Prediction Changes in Online Time Series MonitoringICLR
   • 2026LLM Plug-ins Are Not a Free Lunch for Clinical Time-Series PredictionEACL
   • 2026Status-Aware Self-Supervised Forecasting for Irregular Clinical Time SeriesICLR
9. KAIST·머신러닝

   최재식SAIL Lab

   관련도관련 논문 5편비중 11%연구 분야에 명시
   • 2025xPatch: Dual-Stream Time Series Forecasting with Exponential Seasonal-Trend DecompositionAAAI
   • 2025Deep-DFVAR: Dynamic Factor Vector Autoregression with Deep Learning for Regional House Price Index ForecastingNeurocomputing
   • 2025Example-Based Concept Analysis Framework for Deep Weather Forecast ModelsAIES
10. KAIST·컴퓨터 비전

    주재걸DAVIAN Lab

    관련도관련 논문 8편비중 6%
    • 2026Data-driven Plasma Equilibrium Forecasting in Magnetic Fusion TokamakKDD
    • 2025Delving into Large Language Models for Effective Time-Series Anomaly DetectionNeurIPS
    • 2025Revisiting LLMs as Zero-Shot Time Series Forecasters: Small Noise Can Break Large ModelsACL
11. KAIST·머신러닝

    김희영Engineering Data Science Lab

    관련도관련 논문 6편비중 19%
    • 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
    • 2025TSSI: Time Series as Screenshot Images for multivariate time series classification using convolutional neural networksComputers & Industrial Engineering
12. KU·AI for Science

    석흥일Machine Intelligence Lab

    관련도관련 논문 4편비중 8%연구 분야에 명시
    • 2026SIGMAformer: a Spatiotemporal Gaussian Mixture Correlation Transformer for Global Weather Forecastingnpj Climate and Atmospheric Science
    • 2025Frequency-Conditioned Diffusion Models for Time Series GenerationCIKM
    • 2023Deep Efficient Continuous Manifold Learning for Time Series ModelingTPAMI
13. SNU·머신러닝

    윤성로AI Lab

    관련도관련 논문 5편비중 5%
    • 2026CANDI: Curated Test-time Adaptation for Multivariate Time-series Anomaly Detection under Distribution ShiftAAAI
    • 2026Temporal Island Sparse Autoencoders for Interpreting Clinical Time-Series ModelsNeurIPS
    • 2025Battling the Non-stationarity in Time Series Forecasting via Test-time AdaptationAAAI
14. KAIST·데이터 마이닝

    신기정Data Mining Lab

    관련도관련 논문 5편비중 5%
    • 2026Effective Dataset Distillation for Spatio-Temporal Forecasting with Bi-dimensional CompressionICDE
    • 2026Sequential Data Augmentation for Generative RecommendationWSDM
    • 2025TimeCAP: Learning to Contextualize, Augment, and Predict Time Series Events with Large Language Model AgentsAAAI
15. SNU·AI for Science

    김덕진SatGeo Lab

    관련도관련 논문 5편비중 8%
    • 2026Analysis of Land Subsidence Characteristics According to Reclamation and Construction Periods Using Sentinel-1 Time-Series Interferometry: A Case Study on The West Coast of South KoreaIEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
    • 2025Analysis of Land Subsidence Characteristics According to Reclamation and Constrcution Periods Using Sentinel-1 Time-series Interferometry: A Case Study on the West Coast of South KoreaIGARSS
    • 2025Time-series Oil Spill Mapping Using a Dual-Model Deep Learning Algorithm on Sentinel-1 SAR DataAIRS Cross-Disciplinary Forum on Artificial Intelligence and Remote Sensing
16. KU·머신러닝

    이성환PRML Lab

    관련도관련 논문 5편비중 3%
    • 2026SSF-SET: A Discrete EEG Token-based Framework for Sleep Stage ForecastingIEEE JBHI
    • 2025A Brain-Inspired Model for Multi-Step Forecasting of Malignant ArrhythmiasExpert Systems with Applications
    • 2024Edge Conditional Node Update Graph Neural Network for Multi-variate Time Series Anomaly DetectionInformation Sciences
17. KAIST·AI for Science

    최윤재

    관련도관련 논문 5편비중 8%
    • 2025Generating Multi-Table Time Series EHR from Latent Space with Minimal PreprocessingNeurIPS
    • 2024Self-Supervised Contrastive Learning for Long-term ForecastingICLR
    • 2024Time is Not Enough: Time-Frequency based Explanation for Time-Series Black-Box ModelsCIKM
18. SNU·데이터 마이닝

    장준기

    관련도관련 논문 1편비중 7%연구 분야에 명시
    • 2025TUCKET: A Tensor Time Series Data Structure for Efficient and Accurate Factor Analysis over Time RangesVLDB
19. KAIST·데이터 마이닝

    박찬영DSAIL

    관련도관련 논문 3편비중 3%
    • 2026Compositional Spectral Prompts for LLM-based Online Time Series ForecastingCIKM
    • 2026Time-PEFT: Temporal and Multichannel Complexity-Based Fine-Tuning for Time-Series Foundation ModelsICML
    • 2024Self-Explainable Temporal Graph Networks based on Graph Information BottleneckKDD
20. Yonsei·데이터 마이닝

    김하영MLCF Lab

    관련도관련 논문 3편비중 11%
    • 2026TiVaT: A Transformer with a Single Unified Mechanism for Capturing Asynchronous Dependencies in Multivariate Time Series ForecastingApplied Soft Computing
    • 2025Hierarchical Multi-modal Fusion Architecture Search for Stock Market ForecastingApplied Soft Computing
    • 2024Development of an HVAC system control method using weather forecasting data with deep reinforcement learning algorithmsBuilding and Environment
21. POSTECH·머신러닝

    박상돈Trustworthy ML Lab

    관련도관련 논문 1편비중 5%연구 분야에 명시
    • 2023CODiT: Conformal Out-of-Distribution Detection in Time-Series Data for Cyber-Physical SystemsICCPS
22. Yonsei·컴퓨터 비전

    전해곤Visual AI Lab

    관련도관련 논문 1편비중 2%연구 분야에 명시
    • 2023EigenTrajectory: Low-Rank Descriptors for Multi-Modal Trajectory ForecastingICCV
23. SNU·머신러닝

    양인순LDS Lab

    관련도관련 논문 2편비중 7%
    • 2026KoopCast: Trajectory forecasting via Koopman operatorsICRA
    • 2026CANVAS: Competency-aware navigation assessment suite for pedestrian trajectory forecastingIEEE Open Journal of Control Systems
24. Yonsei·데이터 마이닝

    박상현DELAB

    관련도관련 논문 3편비중 6%
    • 2026SeleRT: Selective Retrieval of LLM Representations for Long-term Time Series ForecastingCIKM
    • 2024Time-series to Image-transformed Adversarial Autoencoder for Anomaly DetectionIEEE Access
    • 2024Unsupervised Multi-head Attention Autoencoder for Multivariate Time-Series Anomaly DetectionBigComp
25. KAIST·머신러닝

    황성주MLAI Lab

    관련도관련 논문 2편비중 2%
    • 2026Multimodal Collaborative Debate for Zero-Shot Time Series ReasoningEMNLP
    • 2026Visual Anchoring for Scenario-Guided ForecastingNeurIPS
26. KAIST·머신러닝

    이주호SIML Lab

    관련도관련 논문 4편비중 5%
    • 2025Amortized control of continuous state space Feynman-Kac model for irregular time seriesICLR
    • 2024Efficient modeling of irregular time-series with stochastic optimal controlNeurIPS
    • 2023Probabilistic imputation for time-series classification with missing dataICML
27. SNU·데이터 마이닝

    강유Data Mining Lab

    관련도연구 분야에 명시
28. SNU·로보틱스

    최준원ADR Lab

    관련도연구 분야에 명시
29. KAIST·AI for Science

    김우연Intelligent Chemistry Lab

    관련도연구 분야에 명시
30. KU·AI for Science

    감태의Medical AI Lab

    관련도연구 분야에 명시
31. KU·머신러닝

    Anh TongStochastic Dynamics and Machine Learning Lab

    관련도연구 분야에 명시
32. Yonsei·AI for Science

    김호진LESSON Lab

    관련도연구 분야에 명시
33. Yonsei·AI for Science2026 업데이트 중

    남호정BIIL

    관련도연구 분야에 명시
34. SNU·데이터 마이닝

    유재민Data AI Lab

    관련도관련 논문 2편비중 7%
    • 2026Generalizing Multi-Scale Time-Series Modeling with a Single OperatorICML
    • 2025TSA on AutoPilot: Self-tuning Self-supervised Time Series Anomaly DetectionSDM
35. KAIST·AI 시스템

    김주영CAST Lab

    관련도관련 논문 2편비중 3%
    • 2026A 11.0 TOPS/W Diffusion Accelerator with Temporal Data Reuse for Real-Time Text-to-Motion GenerationJSSC
    • 2025MoDiff: a 11.0 TOPS/W Diffusion Accelerator with Temporal Data Reuse for Real-Time Text-to-Motion GenerationA-SSCC
36. SNU·데이터 마이닝

    박현우DIAL Lab

    관련도관련 논문 2편비중 5%
    • 2025STGVAD: Spatio-Temporal Graph-based Vessel Behavior Anomaly DetectionIEEE Access
    • 2025Spatio-Temporal Graphs Beyond Grids: Benchmark for Maritime Anomaly DetectionNeurIPS
37. Yonsei·머신러닝

    조성배SCLAB

    관련도관련 논문 3편비중 4%
    • 2024Elitist-opposition-based artificial electric field algorithm for higher-order neural network optimization and financial time series forecastingFinancial Innovation
    • 2024Multi-Instance Attention Network for Anomaly Detection from Multivariate Time SeriesCybernetics and Systems
    • 2023An Elitist Artificial Electric Field Algorithm Based Random Vector Functional Link Network for Cryptocurrency Prices ForecastingIEEE Access
38. KAIST·컴퓨터 비전

    윤국진VI Lab

    관련도관련 논문 2편비중 2%
    • 2025Multi-modal Knowledge Distillation-based Human Trajectory ForecastingCVPR
    • 2024Multi-agent Long-term 3D Human Pose Forecasting via Interaction-aware Trajectory ConditioningCVPR
39. SNU·머신러닝2026 업데이트 중

    강명주NCIA Lab

    관련도관련 논문 2편비중 5%
    • 2025CASA: CNN Autoencoder-based Score Attention for Efficient Multivariate Long-term Time-series ForecastingIJCAI
    • 2023AnomalyBERT: Self-Supervised Transformer for Time Series Anomaly Detection using Data Degradation SchemeICLR
40. 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
41. SNU·AI 시스템

    권태경MM Lab

    관련도관련 논문 1편비중 5%
    • 2026Light-weight, adaptable, and transferable predictor for traffic forecasting in data centersComputer Networks
42. KAIST·데이터 마이닝

    황의종Data Intelligence Lab

    관련도관련 논문 1편비중 4%
    • 2026Harnessing Temporal Databases for Systematic Evaluation of Factual Time-Sensitive Question-Answering in Large Language ModelsICLR
43. SNU·머신러닝

    김태섭LAAL Lab

    관련도관련 논문 1편비중 3%
    • 2026Towards Robust Real-World Multivariate Time Series Forecasting: A Unified Framework for Dependency, Asynchrony, and MissingnessICLR
44. SNU·AI 시스템

    김형신AIoT Lab

    관련도관련 논문 1편비중 3%
    • 2026T1: One-to-One Channel-Head Binding for Multivariate Time-Series ImputationICLR
45. KAIST·컴퓨터 비전

    심현정CVML Lab

    관련도관련 논문 1편비중 2%
    • 2026Real-Time Long Horizon Air Quality Forecasting via Group-Relative Policy OptimizationCVPR
46. POSTECH·컴퓨터 비전

    곽수하, 조민수, 손진희CV Lab

    관련도관련 논문 1편비중 1%
    • 2026Space-Time Forecasting of Dynamic Scenes with Motion-aware Gaussian GroupingCVPR
47. POSTECH·AI for Science

    김원화, 류일우MIP Lab

    관련도관련 논문 2편비중 3%
    • 2024Decoupled Marked Temporal Point Process using Neural Ordinary Differential EquationsICLR
    • 2023Mixing Temporal Graphs with MLP for Longitudinal Brain Connectome AnalysisMICCAI
48. SNU·자연어처리·LLM

    이재윤SKI-ML Lab

    관련도관련 논문 1편비중 4%
    • 2025CoMRes: Semi-Supervised Time Series Forecasting Utilizing Consensus Promotion of Multi-ResolutionICLR
49. POSTECH·데이터 마이닝

    한욱신Data Systems Lab

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

    차지욱Connectome Lab

    관련도관련 논문 1편비중 3%
    • 2025Resting-State fMRI Analysis Using Quantum Time-Series TransformerQCE
51. SNU·컴퓨터 비전

    김건희Vision & Learning Lab

    관련도관련 논문 1편비중 2%
    • 2025Gaze Beyond the Frame: Forecasting Egocentric 3D Visual SpanNeurIPS
52. Yonsei·로보틱스

    김태리로봇 지능 및 상호작용 연구실

    관련도관련 논문 1편비중 13%
    • 2024Modeling social interaction dynamics using temporal graph networksRO-MAN
53. KAIST·자연어처리·LLM

    김현우COCO Lab

    관련도관련 논문 1편비중 5%
    • 2024Deal, or no deal (or who knows)? Forecasting Uncertainty in Conversations using LLMsACL Findings
54. KAIST·데이터 마이닝

    황지영Big Data Intelligence Lab

    관련도관련 논문 1편비중 5%
    • 2024SpoT-Mamba: Learning Long-Range Dependency on Spatio-Temporal Graphs with Selective State SpacesIJCAI
55. SNU·자연어처리·LLM

    정교민MI Lab

    관련도관련 논문 1편비중 1%
    • 2024Leveraging VQ-VAE Tokenization for Autoregressive Modeling of Medical Time SeriesArtificial Intelligence in Medicine
56. SNU·머신러닝

    홍영준MLSC Lab

    관련도관련 논문 1편비중 3%
    • 2024A novel physics-aware graph networks using high-order numerical methods in weather forecasting modelKnowledge-Based Systems
57. KAIST·컴퓨터 비전

    윤성의SGVR Lab

    관련도관련 논문 1편비중 2%
    • 2024PISD: A linear complexity distance beats dynamic time warping on time series classification and clusteringEngineering Applications of Artificial Intelligence
58. KU·컴퓨터 비전

    김상필Computer Vision Lab

    관련도관련 논문 1편비중 2%
    • 2024Enhanced Motion Forecasting with Visual Relation ReasoningECCV
59. SNU·인간-AI 상호작용

    권가진CC Lab

    관련도관련 논문 1편비중 5%
    • 2023Predicting Next Application Most Likely Used with Word Embedding and Time-Series Data EncodingBigComp
60. KU·AI for Science

    서현석IMPEL Lab

    관련도관련 논문 1편비중 4%
    • 2023An Endodontic forecasting model based on the analysis of preoperative dental radiographs: A pilot study on an endodontic predictive deep neural networkJournal of Endodontics

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