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Korea AI Labs

시계열

Time Series · 연구실 61곳 · 논문 174편

다른 주제·대학과 함께 찾기
POSTECH4/15
KU9/23
Yonsei9/37
KAIST19/57
SNU20/84
칸 하나가 연구실 하나예요. 이 주제 논문이 많을수록 밝아요.

관련 연구실

등급은 학회·저널 분류이며 연구실 순위가 아닙니다.

  1. KAIST데이터 마이닝

    이재길Data Mining Lab

    관련 논문 17편비중 44%연구 분야에 명시
    • 2026Compositional Spectral Prompts for LLM-based Online Time Series Forecasting CIKM
    • 2026STAAR: Spatio-Temporal Attention over Adaptive Regions for Traffic Forecasting CIKM
    • 2026Time-PEFT: Temporal and Multichannel Complexity-Based Fine-Tuning for Time-Series Foundation Models ICML
  2. KU머신러닝

    이창희AIX

    관련 논문 9편비중 23%연구 분야에 명시
    • 2026INSHAPE: Instance-Level Shapelets for Interpretable Time-Series Classification IJCAI
    • 2026TimeSeg: An Information-Theoretic Segment-Wise Explainer for Time-Series Predictions ICLR
    • 2026TimeTok: Granularity-Controllable Time-Series Generation via Hierarchical Tokenization NeurIPS
  3. SNU데이터 마이닝

    강필성DSBA Lab

    관련 논문 9편비중 22%연구 분야에 명시
    • 2026COMET: Codebook-based Online-adaptive Multi-scale Embedding for Time-series Anomaly Detection NeurIPS
    • 2025Granularity Fusion Transformer: Learning multi-granularity patterns for time-series forecasting Knowledge-Based Systems
    • 2024Multi-task Self-supervised Time-series Representation Learning Information Sciences
  4. KAIST데이터 마이닝

    박노성BigDyL

    관련 논문 8편비중 11%연구 분야에 명시
    • 2026TimeOperator: A Function-to-Function Approach to Time Series Modeling NeurIPS
    • 2025TSGM: Regular and Irregular Time-series Generation using Score-based Generative Models IEEE BigData
    • 2024Addressing Prediction Delays in Time Series Forecasting: A Continuous GRU Approach with Derivative Regularization KDD
  5. SNUAI for Science

    손석우Weather and Climate Dynamics Lab

    관련 논문 6편비중 6%연구 분야에 명시
    • 2026Data-driven forecasts of extreme weather in East Asia: feasibility of operational use Weather and Climate Extremes
    • 2026Forecast-based attribution of the role of stratospheric variability in weather extremes Weather and Climate Dynamics
    • 2025A process-based evaluation of biases in extratropical stratosphere-troposphere coupling in subseasonal forecast systems Weather and Climate Dynamics
  6. Yonsei데이터 마이닝

    장백철ANDLab

    관련 논문 7편비중 19%
    • 2026Beyond Similarity: Coverage-Aware Prompt Selection for Time Series Forecasting with LLMs EMNLP Findings
    • 2026Cell-Attentive LSTM with Lag-Aware Feature Selection for Multi-Week Epidemic Forecasting IEEE Access
    • 2026CTRL: Control-Based Time Series Forecasting with LLM-Guided Residual Learning ACL Findings
  7. Yonsei머신러닝

    이기복Machine Learning Lab

    관련 논문 7편비중 37%
    • 2026Dataset-Driven Channel Masks in Transformers for Multivariate Time Series ICASSP
    • 2025Channel Normalization for Time Series Channel Identification ICML
    • 2024ANT: Adaptive Noise Schedule for Time Series Diffusion Models NeurIPS
  8. KAIST머신러닝

    양은호MLI Lab

    관련 논문 6편비중 8%
    • 2026Delta-XAI: A Unified Framework for Explaining Prediction Changes in Online Time Series Monitoring ICLR
    • 2026LLM Plug-ins Are Not a Free Lunch for Clinical Time-Series Prediction EACL
    • 2026Status-Aware Self-Supervised Forecasting for Irregular Clinical Time Series ICLR
  9. KAIST머신러닝

    최재식SAIL Lab

    관련 논문 5편비중 11%연구 분야에 명시
    • 2025xPatch: Dual-Stream Time Series Forecasting with Exponential Seasonal-Trend Decomposition AAAI
    • 2025Deep-DFVAR: Dynamic Factor Vector Autoregression with Deep Learning for Regional House Price Index Forecasting Neurocomputing
    • 2025Example-Based Concept Analysis Framework for Deep Weather Forecast Models AIES
  10. KAIST컴퓨터 비전

    주재걸DAVIAN Lab

    관련 논문 8편비중 6%
    • 2026Data-driven Plasma Equilibrium Forecasting in Magnetic Fusion Tokamak KDD
    • 2025Delving into Large Language Models for Effective Time-Series Anomaly Detection NeurIPS
    • 2025Revisiting LLMs as Zero-Shot Time Series Forecasters: Small Noise Can Break Large Models ACL
  11. KAIST머신러닝

    김희영Engineering Data Science Lab

    관련 논문 6편비중 19%
    • 2026GT-PSSM: Unified Probabilistic Framework for Stochastic Dynamics Modeling and Dependency Learning in Multivariate Time Series Anomaly Detection CIKM
    • 2026Knowledge-Assisted Multi-Graph Dependency Learning for Multivariate Time Series Anomaly Detection in Multi-Stage Industrial Processes IEEE TASE
    • 2025TSSI: Time Series as Screenshot Images for multivariate time series classification using convolutional neural networks Computers & Industrial Engineering
  12. KUAI for Science

    석흥일Machine Intelligence Lab

    관련 논문 4편비중 8%연구 분야에 명시
    • 2026SIGMAformer: a Spatiotemporal Gaussian Mixture Correlation Transformer for Global Weather Forecasting npj Climate and Atmospheric Science
    • 2025Frequency-Conditioned Diffusion Models for Time Series Generation CIKM
    • 2023Deep Efficient Continuous Manifold Learning for Time Series Modeling TPAMI
  13. SNU머신러닝

    윤성로AI Lab

    관련 논문 5편비중 5%
    • 2026CANDI: Curated Test-time Adaptation for Multivariate Time-series Anomaly Detection under Distribution Shift AAAI
    • 2026Temporal Island Sparse Autoencoders for Interpreting Clinical Time-Series Models NeurIPS
    • 2025Battling the Non-stationarity in Time Series Forecasting via Test-time Adaptation AAAI
  14. KAIST데이터 마이닝

    신기정Data Mining Lab

    관련 논문 5편비중 5%
    • 2026Effective Dataset Distillation for Spatio-Temporal Forecasting with Bi-dimensional Compression ICDE
    • 2026Sequential Data Augmentation for Generative Recommendation WSDM
    • 2025TimeCAP: Learning to Contextualize, Augment, and Predict Time Series Events with Large Language Model Agents AAAI
  15. SNUAI for Science

    김덕진SatGeo Lab

    관련 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 Korea IEEE 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 Korea IGARSS
    • 2025Time-series Oil Spill Mapping Using a Dual-Model Deep Learning Algorithm on Sentinel-1 SAR Data AIRS Cross-Disciplinary Forum on Artificial Intelligence and Remote Sensing
  16. KU머신러닝

    이성환PRML Lab

    관련 논문 5편비중 3%
    • 2026SSF-SET: A Discrete EEG Token-based Framework for Sleep Stage Forecasting IEEE JBHI
    • 2025A Brain-Inspired Model for Multi-Step Forecasting of Malignant Arrhythmias Expert Systems with Applications
    • 2024Edge Conditional Node Update Graph Neural Network for Multi-variate Time Series Anomaly Detection Information Sciences
  17. KAISTAI for Science

    최윤재

    관련 논문 5편비중 8%
    • 2025Generating Multi-Table Time Series EHR from Latent Space with Minimal Preprocessing NeurIPS
    • 2024Self-Supervised Contrastive Learning for Long-term Forecasting ICLR
    • 2024Time is Not Enough: Time-Frequency based Explanation for Time-Series Black-Box Models CIKM
  18. SNU데이터 마이닝

    장준기

    관련 논문 1편비중 7%연구 분야에 명시
    • 2025TUCKET: A Tensor Time Series Data Structure for Efficient and Accurate Factor Analysis over Time Ranges VLDB
  19. KAIST데이터 마이닝

    박찬영DSAIL

    관련 논문 3편비중 3%
    • 2026Compositional Spectral Prompts for LLM-based Online Time Series Forecasting CIKM
    • 2026Time-PEFT: Temporal and Multichannel Complexity-Based Fine-Tuning for Time-Series Foundation Models ICML
    • 2024Self-Explainable Temporal Graph Networks based on Graph Information Bottleneck KDD
  20. Yonsei데이터 마이닝

    김하영MLCF Lab

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

    박상돈Trustworthy ML Lab

    관련 논문 1편비중 5%연구 분야에 명시
    • 2023CODiT: Conformal Out-of-Distribution Detection in Time-Series Data for Cyber-Physical Systems ICCPS
  22. Yonsei컴퓨터 비전

    전해곤Visual AI Lab

    관련 논문 1편비중 2%연구 분야에 명시
    • 2023EigenTrajectory: Low-Rank Descriptors for Multi-Modal Trajectory Forecasting ICCV
  23. SNU머신러닝

    양인순LDS Lab

    관련 논문 2편비중 7%
    • 2026KoopCast: Trajectory forecasting via Koopman operators ICRA
    • 2026CANVAS: Competency-aware navigation assessment suite for pedestrian trajectory forecasting IEEE Open Journal of Control Systems
  24. Yonsei데이터 마이닝

    박상현DELAB

    관련 논문 3편비중 6%
    • 2026SeleRT: Selective Retrieval of LLM Representations for Long-term Time Series Forecasting CIKM
    • 2024Time-series to Image-transformed Adversarial Autoencoder for Anomaly Detection IEEE Access
    • 2024Unsupervised Multi-head Attention Autoencoder for Multivariate Time-Series Anomaly Detection BigComp
  25. KAIST머신러닝

    황성주MLAI Lab

    관련 논문 2편비중 2%
    • 2026Multimodal Collaborative Debate for Zero-Shot Time Series Reasoning EMNLP
    • 2026Visual Anchoring for Scenario-Guided Forecasting NeurIPS
  26. SNU데이터 마이닝

    강유Data Mining Lab

    연구 분야에 명시
  27. SNU로보틱스

    최준원ADR Lab

    연구 분야에 명시
  28. KAISTAI for Science

    김우연Intelligent Chemistry Lab

    연구 분야에 명시
  29. KAIST머신러닝

    이주호SIML Lab

    관련 논문 4편비중 5%
    • 2025Amortized control of continuous state space Feynman-Kac model for irregular time series ICLR
    • 2024Efficient modeling of irregular time-series with stochastic optimal control NeurIPS
    • 2023Probabilistic imputation for time-series classification with missing data ICML
  30. KUAI for Science

    감태의Medical AI Lab

    연구 분야에 명시
  31. KU머신러닝

    Anh TongStochastic Dynamics and Machine Learning Lab

    연구 분야에 명시
  32. YonseiAI for Science

    김호진LESSON Lab

    연구 분야에 명시
  33. YonseiAI for Science2026 업데이트 중

    남호정BIIL

    연구 분야에 명시
  34. SNU데이터 마이닝

    유재민Data AI Lab

    관련 논문 2편비중 7%
    • 2026Generalizing Multi-Scale Time-Series Modeling with a Single Operator ICML
    • 2025TSA on AutoPilot: Self-tuning Self-supervised Time Series Anomaly Detection SDM
  35. KAISTAI 시스템

    김주영CAST Lab

    관련 논문 2편비중 3%
    • 2026A 11.0 TOPS/W Diffusion Accelerator with Temporal Data Reuse for Real-Time Text-to-Motion Generation JSSC
    • 2025MoDiff: a 11.0 TOPS/W Diffusion Accelerator with Temporal Data Reuse for Real-Time Text-to-Motion Generation A-SSCC
  36. SNU데이터 마이닝

    박현우DIAL Lab

    관련 논문 2편비중 5%
    • 2025STGVAD: Spatio-Temporal Graph-based Vessel Behavior Anomaly Detection IEEE Access
    • 2025Spatio-Temporal Graphs Beyond Grids: Benchmark for Maritime Anomaly Detection NeurIPS
  37. Yonsei머신러닝

    조성배SCLAB

    관련 논문 3편비중 4%
    • 2024Elitist-opposition-based artificial electric field algorithm for higher-order neural network optimization and financial time series forecasting Financial Innovation
    • 2024Multi-Instance Attention Network for Anomaly Detection from Multivariate Time Series Cybernetics and Systems
    • 2023An Elitist Artificial Electric Field Algorithm Based Random Vector Functional Link Network for Cryptocurrency Prices Forecasting IEEE Access
  38. KAIST컴퓨터 비전

    윤국진VI Lab

    관련 논문 2편비중 2%
    • 2025Multi-modal Knowledge Distillation-based Human Trajectory Forecasting CVPR
    • 2024Multi-agent Long-term 3D Human Pose Forecasting via Interaction-aware Trajectory Conditioning CVPR
  39. SNU머신러닝2026 업데이트 중

    강명주NCIA Lab

    관련 논문 2편비중 5%
    • 2025CASA: CNN Autoencoder-based Score Attention for Efficient Multivariate Long-term Time-series Forecasting IJCAI
    • 2023AnomalyBERT: Self-Supervised Transformer for Time Series Anomaly Detection using Data Degradation Scheme ICLR
  40. KU컴퓨터 비전

    박경문VGI Lab

    관련 논문 2편비중 4%
    • 2025When Will It Fail?: Anomaly to Prompt for Forecasting Future Anomalies in Time Series ICML
    • 2023Time Series Anomaly Detection using Transformer-based GAN with Two-Step Masking IEEE Access
  41. SNUAI 시스템

    권태경MM Lab

    관련 논문 1편비중 5%
    • 2026Light-weight, adaptable, and transferable predictor for traffic forecasting in data centers Computer Networks
  42. KAIST데이터 마이닝

    황의종Data Intelligence Lab

    관련 논문 1편비중 4%
    • 2026Harnessing Temporal Databases for Systematic Evaluation of Factual Time-Sensitive Question-Answering in Large Language Models ICLR
  43. SNU머신러닝

    김태섭LAAL Lab

    관련 논문 1편비중 3%
    • 2026Towards Robust Real-World Multivariate Time Series Forecasting: A Unified Framework for Dependency, Asynchrony, and Missingness ICLR
  44. SNUAI 시스템

    김형신AIoT Lab

    관련 논문 1편비중 3%
    • 2026T1: One-to-One Channel-Head Binding for Multivariate Time-Series Imputation ICLR
  45. KAIST컴퓨터 비전

    심현정CVML Lab

    관련 논문 1편비중 2%
    • 2026Real-Time Long Horizon Air Quality Forecasting via Group-Relative Policy Optimization CVPR
  46. POSTECH컴퓨터 비전

    곽수하, 조민수, 손진희CV Lab

    관련 논문 1편비중 1%
    • 2026Space-Time Forecasting of Dynamic Scenes with Motion-aware Gaussian Grouping CVPR
  47. POSTECHAI for Science

    김원화, 류일우MIP Lab

    관련 논문 2편비중 3%
    • 2024Decoupled Marked Temporal Point Process using Neural Ordinary Differential Equations ICLR
    • 2023Mixing Temporal Graphs with MLP for Longitudinal Brain Connectome Analysis MICCAI
  48. SNU자연어처리·LLM

    이재윤SKI-ML Lab

    관련 논문 1편비중 4%
    • 2025CoMRes: Semi-Supervised Time Series Forecasting Utilizing Consensus Promotion of Multi-Resolution ICLR
  49. POSTECH데이터 마이닝

    한욱신Data Systems Lab

    관련 논문 1편비중 4%
    • 2025MAD: Multimodal Framework for Adaptive Time-Series Anomaly Detection IEEE BigData
  50. SNUAI for Science

    차지욱Connectome Lab

    관련 논문 1편비중 3%
    • 2025Resting-State fMRI Analysis Using Quantum Time-Series Transformer QCE
  51. SNU컴퓨터 비전

    김건희Vision & Learning Lab

    관련 논문 1편비중 2%
    • 2025Gaze Beyond the Frame: Forecasting Egocentric 3D Visual Span NeurIPS
  52. Yonsei로보틱스

    김태리로봇 지능 및 상호작용 연구실

    관련 논문 1편비중 13%
    • 2024Modeling social interaction dynamics using temporal graph networks RO-MAN
  53. KAIST자연어처리·LLM

    김현우COCO Lab

    관련 논문 1편비중 5%
    • 2024Deal, or no deal (or who knows)? Forecasting Uncertainty in Conversations using LLMs ACL Findings
  54. KAIST데이터 마이닝

    황지영Big Data Intelligence Lab

    관련 논문 1편비중 5%
    • 2024SpoT-Mamba: Learning Long-Range Dependency on Spatio-Temporal Graphs with Selective State Spaces IJCAI
  55. SNU자연어처리·LLM

    정교민MI Lab

    관련 논문 1편비중 1%
    • 2024Leveraging VQ-VAE Tokenization for Autoregressive Modeling of Medical Time Series Artificial Intelligence in Medicine
  56. SNU머신러닝

    홍영준MLSC Lab

    관련 논문 1편비중 3%
    • 2024A novel physics-aware graph networks using high-order numerical methods in weather forecasting model Knowledge-Based Systems
  57. KAIST컴퓨터 비전

    윤성의SGVR Lab

    관련 논문 1편비중 2%
    • 2024PISD: A linear complexity distance beats dynamic time warping on time series classification and clustering Engineering Applications of Artificial Intelligence
  58. KU컴퓨터 비전

    김상필Computer Vision Lab

    관련 논문 1편비중 2%
    • 2024Enhanced Motion Forecasting with Visual Relation Reasoning ECCV
  59. SNU인간-AI 상호작용

    권가진CC Lab

    관련 논문 1편비중 5%
    • 2023Predicting Next Application Most Likely Used with Word Embedding and Time-Series Data Encoding BigComp
  60. KUAI for Science

    서현석IMPEL Lab

    관련 논문 1편비중 4%
    • 2023An Endodontic forecasting model based on the analysis of preoperative dental radiographs: A pilot study on an endodontic predictive deep neural network Journal of Endodontics
  61. KU머신러닝

    이병준Decision Making Lab

    관련 논문 1편비중 3%
    • 2023Adaptive Online Time-Series Prediction for Virtual Metrology in Semiconductor Manufacturing ASMC