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项目介绍

lixus7/Time-Series-Works-Conferences 是一个托管在 GitHub 上的开源项目,采用 MIT License 许可证,目前获得 1.0k 个 Star、100 次 Fork。

仓库全名
lixus7/Time-Series-Works-Conferences
开源许可证
MIT License
Star 数
1.0k
Fork 数
100
未关闭 Issue
1

README 摘要

Time-Series Works and Conferences About Me (Du Yin) I am a Ph.D. student in the School of Computer Science and Engineering (CSE) at UNSW Sydney, Australia, where I am fortunate to be co-supervised by Prof. Flora Salim and Dr. Hao Xue. My research is driven by a strong passion for Time-Series Research and Deep Learning. Currently, my work focuses on developing next-generation Time-Series Foundation Models (TSFMs),…

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仓库最近一次更新为 9月29日,当前有 1 个未关闭 Issue;Star 数为 1.0k,可作为社区活跃度的参考。

关于

GitHub 原始描述(英文)

Time-Series Work Summary in CS Top Conferences (NIPS, ICML, ICLR, KDD, AAAI, WWW, IJCAI, CIKM, ICDM, ICDE, etc.)

描述取自 GitHub 官方 API,保持仓库作者书写的原文。

README

Time-Series Works and Conferences

About Me (Du Yin)

I am a Ph.D. student in the School of Computer Science and Engineering (CSE) at UNSW Sydney, Australia, where I am fortunate to be co-supervised by Prof. Flora Salim and Dr. Hao Xue.

My research is driven by a strong passion for Time-Series Research and Deep Learning. Currently, my work focuses on developing next-generation Time-Series Foundation Models (TSFMs), generative modeling, and scalable frameworks for complex temporal and spatio-temporal data mining.

Prior to joining UNSW, I received my Master’s degree, during which I had the privilege of being advised by Prof. Xuan Song, Dr. Quanjun Chen, and Prof. Renhe Jiang.

Backlog (To do):

Recent Time Series Works Grouped by Task

Multivariat Time Series Forecasting

Task Data Model Paper Code Publication
Foundation
Multivariat
TimesNet Olivia Olivia: Harmonizing Time Series Foundation Models with Power Spectral Density None ICML
2026
Foundation
Multivariat
TimesNet Time-PEFT Time-PEFT: Temporal and Multichannel Complexity-Based Fine-Tuning for Time-Series Foundation Models None ICML
2026
Foundation
Multivariat
TimesNet Universal Redundancies in Time Series Foundation Models Code
Stars
Forks
ICML
2026
LLM
Reasoning
TimesNet VeriTime Time Series Reasoning via Process-Verifiable Thinking Data Synthesis and Scheduling for Tailored LLM Reasoning None ICML
2026
LLM
Medical
HAR-CoT
Sleep-CoT
ECG-QA
MIMIC
OpenTSLM OpenTSLM: Time-Series Language Models for Reasoning over Multivariate Medical Text- and Time-Series Data Code
Stars
Forks
ICML
2026
LLM
Benchmark
Health TS HEARTS HEARTS: Benchmarking LLM Reasoning on Health Time Series Code
Stars
Forks
ICML
2026
Position TimesNet Position: Time-Series Foundation Models Require Explicit Domain-Level Benchmarks None ICML
2026
Foundation
Benchmark
ZTF StarEmbed StarEmbed: Benchmarking Time Series Foundation Models on Astronomical Observations of Variable Stars Code
Stars
Forks
ICML
2026
Physiological MIMIC
PhysioNet
Self-Supervised Dynamical System Representations for Physiological Time-Series Code
Stars
Forks
ICML
2026
Dataset
Condensat
TimesNet One Batch Is Enough: A Unified Dataset Condensation Framework for General Time Series Analysis None ICML
2026
Foundation
Multivariat
TimesNet Zeus Zeus: Towards Tuning-Free Foundation Model for Time Series Analysis None ICML
2026
Dataset
Multimodal
TelecomTS TelecomTS: A Multi-Modal Observability Dataset for Time Series and Language Analysis Code
Stars
Forks
ICML
2026
Multimodal
Alignment
TimesNet Time Series, Vision, and Language: Exploring the Limits of Alignment in Contrastive Representation Spaces None ICML
2026
Multivariat TimesNet L-Drive L-Drive: Beyond a Single Mapping—Latent Context Drives Time Series Forecasting Code
Stars
Forks
ICML
2026
Multivariat TimesNet ConFlux ConFlux: Multivariate Time Series in Flux, One Unified Forecast in Confluence None ICML
2026
Multivariat TimesNet PESD-TSF PESD-TSF: A Period-Aware and Explicit Structured Decomposition Framework for Long-Term Time Series Forecasting None ICML
2026
Multivariat TimesNet Parameter Decorrelation via Transition-Variance Alignment for Multivariate Time-series Forecasting None ICML
2026
Benchmark TimesNet TIME It’s TIME: Towards the Next Generation of Time Series Forecasting Benchmarks Code
Stars
Forks
ICML
2026
Robust
Multivariat
TimesNet DropoutTS DropoutTS: Sample-Adaptive Dropout for Robust Time Series Forecasting Code
Stars
Forks
ICML
2026
Multivariat TimesNet Time-series forecasting through the lens of dynamics Code
Stars
Forks
ICML
2026
Weather
Benchmark
WEATHER-5K Benchmarking Physics-Informed Time-Series Models for Operational Global Station Weather Forecasting Code
Stars
Forks
ICML
2026
Efficient
Multivariat
TimesNet BPE Byte Pair Encoding for Efficient Time Series Forecasting None ICML
2026
Backdoor
Defense
TimesNet TimeGuard TimeGuard: Channel-wise Pool Training for Backdoor Defense in Time Series Forecasting Code
Stars
Forks
ICML
2026
Counterfac TimesNet What if Tomorrow is the World Cup Final? Counterfactual Time Series Forecasting with Textual Conditions None ICML
2026
Distillation TimesNet Beyond Point Predictions: Manifold Expansion and Dual Alignment for Robust Time Series Distillation None ICML
2026
Foundation
Multivariat
TimesNet Channel Adapter for Time Series Foundation Models in Zero-Shot Multivariate Forecasting None ICML
2026
Multivariat TimesNet Beyond Extrapolation: Knowledge Utilization Paradigm with Bidirectional Inspiration for Time Series Forecasting None ICML
2026
Source-Free
Multivariat
TimesNet TimePD Invariant Representation Learning for Source-Free Time Series Forecasting with LLM-Centric Proxy Denoising Code
Stars
Forks
ICML
2026
Multivariat TimesNet FIPN FIPN: Forward Self-Organizing Interpretable Polynomial Networks for Time Series Forecasting None ICML
2026
Multivariat TimesNet DMANet Anti-Aliasing Matters: A Dynamic Network for Time Series Forecasting Code
Stars
Forks
ICML
2026
Non-stationary
Multivariat
TimesNet DSENet DSENet: A Novel Dual-Stream Enhancement Network for Multi-Scale Non-Stationary Time Series Forecasting None ICML
2026
Multivariat TimesNet Crisp Crisp: A Spectral-Based Interaction Strategy for Multivariate Time Series Forecasting None ICML
2026
Analysis TimesNet Beyond Model Ranking: Predictability-Aligned Evaluation for Time Series Forecasting Code
Stars
Forks
ICML
2026
Multivariat TimesNet KITE KITE: Knowledge-Guided Probabilistic Modeling for Time Series Forecasting with Exogenous Variables None ICML
2026
LLM
Multivariat
TimesNet TsLLM TsLLM: Augmenting LLMs for General Time Series Understanding and Prediction None ICML
2026
Multivariat TimesNet ReNF ReNF: Rethinking the Principles of Neural Long-Term Time Series Forecasters Code
Stars
Forks
ICML
2026
Multivariat TimesNet Reviving Error Correction in Modern Deep Time-Series Forecasting Code
Stars
Forks
ICML
2026
Multivariat TimesNet MemCast MemCast: Memory-Driven Time Series Forecasting with Experience-Conditioned Reasoning Code
Stars
Forks
ICML
2026
Adversarial
Multivariat
TimesNet TSFAdv TSFAdv: Frequency-Guided Black-Box Adversarial Attacks on Time Series Forecasting None ICML
2026
Non-stationary
Multivariat
TimesNet Dynamic
TMoE
Dynamic TMoE: A Drift-Aware Dynamic Mixture of Experts Framework for Non-Stationary Time Series Forecasting Code
Stars
Forks
ICML
2026
Multivariat TimesNet Fern Ellipsoidal Time Series Forecasting None ICML
2026
Generative
Multivariat
TimesNet CoGenCast CoGenCast: A Coupled Autoregressive–Flow Generative Framework for Time Series Forecasting Code
Stars
Forks
ICML
2026
Multivariat TimesNet StretchTime StretchTime: Adaptive Time Series Forecasting via Symplectic Attention None ICML
2026
Robust
Multivariat
TimesNet Robust Inter-Series Dependency Modeling for Time Series Forecasting via Information-Theoretic Alignment None ICML
2026
Analysis TimesNet CombiTS CombinationTS: A Modular Framework for Understanding Time-Series Forecasting Models Code
Stars
Forks
ICML
2026
Foundation
Multivariat
TimesNet See More, Forecast Better and Faster: Enhancing Time Series Foundation Models via Inference-Time Plug-and-Play Downsampling Code
Stars
Forks
ICML
2026
Robust
Multivariat
TimesNet TameR Taming the Recent-Data Bias: Towards Robust Time Series Forecasting with Global Context Code
Stars
Forks
ICML
2026
Multivariat TimesNet KineFlow KineFlow: Kinematic Second-Order Flow Matching for Time-Series Forecasting None ICML
2026
Multivariat TimesNet LatentTSF From Observations to States: Latent Time Series Forecasting Code
Stars
Forks
ICML
2026
Foundation
Multivariat
TimesNet Baguan-TS Baguan-TS: dual in-context learning model for time series forecasting with covariates None ICML
2026
Position TimesNet Position: Current Benchmarking Hinders Real Progress in Deep Learning for Time Series Forecasting Code
Stars
Forks
ICML
2026
LLM
Multivariat
TimesNet TimeMRA TimeMRA: LLM-Empowered Time Series Forecasting via Multi-Scale Retrieval-Augmented Representations None ICML
2026
Multimodal
Evaluation
TimesNet Rethinking Multimodal Time-Series Forecasting Evaluation None ICML
2026
Irregular
Multivariat
TimesNet TFMixer Bridging Time and Frequency: A Joint Modeling Framework for Irregular Multivariate Time Series Forecasting None ICML
2026
Multivariat TimesNet DAG DAG: A Dual Correlation Network for Time Series Forecasting with Exogenous Variables Code
Stars
Forks
ICML
2026
Robust
Multivariat
TimesNet SEER SEER: Transformer-based Robust Time Series Forecasting via Automated Patch Enhancement and Replacement None ICML
2026
Multivariat TimesNet TimeSeed TimeSeed: Effective Time Series Forecasting with Sparse Endogenous Variables None ICML
2026
Multivariat TimesNet Information Geometry Loss for Time Series Forecasting None ICML
2026
Multivariat TimesNet KUMA KUMA: A Novel Framework with Koopman Separation and Efficient Multilevel Extraction in Time Series Forecasting None ICML
2026
Scaling
Multivariat
TimesNet Revealing Scaling Behavior in Large-scale Time Series Models: Implications for More Efficient and Accurate Forecasting None ICML
2026
Non-stationary
Multivariat
TimesNet PULSE PULSE: Generative Phase Evolution for Non-Stationary Time Series Forecasting Code
Stars
Forks
ICML
2026
Diffusion
Multivariat
TimesNet Not All Frequencies Are Equal: Energy-Adaptive Diffusion for Time Series Forecasting None ICML
2026
Irregular
Medical
MIMIC MoRGEN MoRGEN: Mixture-of-Resolutions Generative Forecasting for Irregularly Sampled Medical Time-Series Data None ICML
2026
Multivariat TimesNet MixLinear MixLinear: Extreme Low Resource Multivariate Time Series Forecasting with Parameters Code
Stars
Forks
ICLR
2026
Multivariat TimesNet CoRA CoRA: Boosting Time Series Foundation Models for Multivariate Forecasting through Correlation-aware Adapter Code
Stars
Forks
ICLR
2026
Multivariat TimesNet PHAT PHAT: Modeling Period Heterogeneity for Multivariate Time Series Forecasting Code
Stars
Forks
ICLR
2026
Multivariat TimesNet Numerion Numerion: A Multi-Hypercomplex Model for Time Series Forecasting None ICLR
2026
Multivariat TimesNet COSA COSA: Context-aware Output-Space Adapter for Test-Time Adaptation in Time Series Forecasting Code
Stars
Forks
ICLR
2026
Multivariat TimesNet CPiRi CPiRi: Channel Permutation-Invariant Relational Interaction for Multivariate Time Series Forecasting Code
Stars
Forks
ICLR
2026
Multivariat TimesNet GTR Enhancing Multivariate Time Series Forecasting with Global Temporal Retrieval Code
Stars
Forks
ICLR
2026
Multivariat TimesNet TimeAli Bridging Past and Future: Distribution-Aware Alignment for Time Series Forecasting Code
Stars
Forks
ICLR
2026
Multivariat TimesNet Are Global Dependencies Necessary? Scalable Time Series Forecasting via Local Cross-Variate Modeling Code
Stars
Forks
ICLR
2026
Multivariat TimesNet GCGNet GCGNet: Graph-Consistent Generative Network for Time Series Forecasting with Exogenous Variables Code
Stars
Forks
ICLR
2026
Multivariat TimesNet Test-Time Efficient Pretrained Model Portfolios for Time Series Forecasting None ICLR
2026
Multivariat TimesNet MMPD MMPD: Diverse Time Series Forecasting via Multi-Mode Patch Diffusion Loss Code
Stars
Forks
ICLR
2026
Robust
Multivariat
TimesNet Local Geometry Attention for Time Series Forecasting under Realistic Corruptions Code
Stars
Forks
ICLR
2026
Multivariat TimesNet FACT FACT: Fine-grained Across-variable Convolution for Multivariate Time Series Forecasting Code
Stars
Forks
ICLR
2026
Multivariat TimesNet Unlocking the Value of Text: Event-Driven Reasoning and Multi-Level Alignment for Time Series Forecasting Code
Stars
Forks
ICLR
2026
Foundation
Multivariat
Aurora Aurora: Towards Universal Generative Multimodal Time Series Forecasting Code
Stars
Forks
ICLR
2026
Multivariat TimesNet The Forecast After the Forecast: A Post-Processing Shift in Time Series Code
Stars
Forks
ICLR
2026
Multivariat TimesNet ADAPT-Z Online time series prediction using feature adjustment Code
Stars
Forks
ICLR
2026
Robust
Multivariat
ETT
Weather
EPA-Air
CTF Towards Robust Real-World Multivariate Time Series Forecasting: A Unified Framework for Dependency, Asynchrony, and Missingness Code
Stars
Forks
ICLR
2026
Multivariat TimesNet xCPD Routing Channel-Patch Dependencies in Time Series Forecasting with Graph Spectral Decomposition Code
Stars
Forks
ICLR
2026
Irregular
Multivariat
ASTGI ASTGI: Adaptive Spatio-Temporal Graph Interactions for Irregular Multivariate Time Series Forecasting Code
Stars
Forks
ICLR
2026
Multivariat TimesNet ProtoTS ProtoTS: Learning Hierarchical Prototypes for Explainable Time Series Forecasting Code
Stars
Forks
ICLR
2026
Multivariat TimesNet PhaseFormer PhaseFormer: From Patches to Phases for Efficient and Effective Time Series Forecasting Code
Stars
Forks
ICLR
2026
Irregular
Multivariat
ReIMTS Learning Recursive Multi-Scale Representations for Irregular Multivariate Time Series Forecasting Code
Stars
Forks
ICLR
2026
Multivariat TimesNet Characteristic Root Analysis and Regularization for Linear Time Series Forecasting Code
Stars
Forks
ICLR
2026
Multivariat TimesNet SE-LLM Semantic-Enhanced Time-Series Forecasting via Large Language Models Code
Stars
Forks
ICLR
2026
Analysis TimesNet TimeRecipe TimeRecipe: A Time-Series Forecasting Recipe via Benchmarking Module Level Effectiveness Code
Stars
Forks
ICLR
2026
Multivariat TimesNet ShifTS Tackling Time-Series Forecasting Generalization via Mitigating Concept Drift Code
Stars
Forks
ICLR
2026
Multivariat TimesNet QDF Quadratic Direct Forecast for Training Multi-Step Time-Series Forecast Models Code
Stars
Forks
ICLR
2026
Multivariat TimesNet DistDF DistDF: Time-series Forecasting Needs Joint-distribution Wasserstein Alignment Code
Stars
Forks
ICLR
2026
Traffic NGSIM
HighD
Micro-Macro Coupled Koopman Modeling on Graph for Traffic Flow Prediction None ICLR
2026
Evolve
Traffic
METR-LA
PEMS
STBP A General Spatio-Temporal Backbone with Scalable Contextual Pattern Bank for Urban Continual Forecasting Code
Stars
Forks
ICLR
2026
Analysis TimesNet Beyond Accuracy: Are Time Series Foundation Models Well-Calibrated? Code
Stars
Forks
ICLR
2026
Foundation
Multivariat
TimesNet UniCA UniCA: Unified Covariate Adaptation for Time Series Foundation Model Code
Stars
Forks
ICLR
2026
Multivariat TimesNet TimeOmni-1 TimeOmni-1: Incentivizing Complex Reasoning with Time Series in Large Language Models Code
Stars
Forks
ICLR
2026
Foundation
Multivariat
TimesNet Rating Quality of Diverse Time Series Data by Meta-learning from LLM Judgment Code
Stars
Forks
ICLR
2026
Foundation
Multivariat
TimesNet Adapt Data to Model: Adaptive Transformation Optimization for Domain-shared Time Series Foundation Models Code
Stars
Forks
ICLR
2026
FL
Foundation
TimesNet FeDaL FeDaL: Federated Dataset Learning for General Time Series Foundation Models Code
Stars
Forks
ICLR
2026
Foundation
Multivariat
TimesNet SwiftTS SwiftTS: A Swift Selection Framework for Time Series Pre-trained Models via Multi-task Meta-Learning Code
Stars
Forks
ICLR
2026
Foundation
Multivariat
TimesNet SFF Lost in the Non-convex Loss Landscape: How to Fine-tune the Large Time Series Model? Code
Stars
Forks
ICLR
2026
Foundation
Multivariat
TimesNet GTM GTM: A General Time-series Model for Enhanced Representation Learning of Time-Series data Code
Stars
Forks
ICLR
2026
Multivariat TimesNet Multi-Scale Hypergraph Meets LLMs: Aligning Large Language Models for Time Series Analysis Code
Stars
Forks
ICLR
2026
Multivariat TimesNet AutoDA AutoDA-Timeseries: Automated Data Augmentation for Time Series Code
Stars
Forks
ICLR
2026
Foundation
Multivariat
TimesNet TS-Memory TS-Memory: Plug-and-Play Memory for Time Series Foundation Models Code
Stars
Forks
KDD
2026
Multivariat Eliciting Frequency-Conditioned Spatial Dynamics for Long-Term Spatio-Temporal Forecasting Code
Stars
Forks
KDD
2026
Multivariat TimesNet CCD CCD: Capturing Cross-Correlations with Deformable Convolutional Networks for Multivariate Time Series Forecasting Code
Stars
Forks
KDD
2026
Multivariat TimesNet STM3 STM3: Mixture of Multiscale Mamba for Long-Term Spatio-Temporal Time-Series Prediction Code
Stars
Forks
KDD
2026
Multivariat TimesNet CAST-Norm CAST-Norm: Coupled Adaptive Spatio-Temporal Normalization for Multivariate Time Series Forecasting Code
Stars
Forks
KDD
2026
Multivariat TimesNet RePatch RePatch: Learning Entropy-Guided Patch Structures with Quantized Representations for Time Series Forecasting Code
Stars
Forks
KDD
2026
Traffic LargeST STUNet Unified Spatio-Temporal Tokens are Bases for Generalizable Traffic Forecasting Code
Stars
Forks
KDD
2026
Traffic PEMS HURST HURST: Heterogeneity-Adaptive Urban Foundation Models for Spatiotemporal Prediction via Self-Partitional Mixture-of-Spatial-Experts None KDD
2026
Multivariat TimesNet SARAF Stationarity-Aware Retrieval-Augmented Time Series Forecasting Code
Stars
Forks
KDD
2026
Multivariat TimesNet TS-MTM TS-MTM: Temporal-Spectral Masked Time-Series Modeling for Forecasting Code
Stars
Forks
KDD
2026
Traffic PEMS Beyond Language Processing: LLMs Rules-Injected Instruction Tuning for Traffic Prediction Code
Stars
Forks
KDD
2026
Multivariat Orbit-Adaptive Zero-Shot Forecasting on Spatio-Temporal Graph Code
Stars
Forks
KDD
2026
Multivariat TimesNet One Step Closer to Ground Truth: A Multi-Scale Residual-Aware Representation Learning Pipeline for Predicting Time Series Data None KDD
2026
Multivariat GODM GODM: Graph Orthogonal Diffusion Models for Spatio-Temporal Forecasting Code KDD
2026
Multivariat TimesNet FAiT FAiT: Frequency-Aware Inverted Transformer for Multivariate Time Series Forecasting Code KDD
2026
Multivariat Invariant Structure Learning with Pre-trained Language Models for Spatio-temporal Graph Code
Stars
Forks
KDD
2026
Traffic NYC
Washington DC
Chicago
FreMo Frequency-Domain Multi-Modality Transportation Modeling Code
Stars
Forks
KDD
2026
Multivariat TimesNet PatchCLE PatchCLE: Breaking the Linear Representation Bottleneck in Time Series Forecasting via Soft Contrastive Learning Code
Stars
Forks
KDD
2026
Foundation
Multivariat
TimesNet MEMTS MEMTS: Internalizing Domain Knowledge via Parameterized Memory for Retrieval-Free Domain Adaptation of Time Series Foundation Models None KDD
2026
Multivariat TimesNet Beyond Linear Dynamics: Neural Bilinear Dynamical Models for Time Series Forecasting Code
Stars
Forks
KDD
2026
Traffic PeMSD4
PeMSD8
FT-AED
HK-Traffic
FedTT FedTT: A Federated Spatio-Temporal Learning Framework for Cross-City Traffic Knowledge Transfer Code KDD
2026
Multivariat TimesNet Forecasting as Rendering: A 2D Gaussian Splatting Framework for Time Series Forecasting Code
Stars
Forks
KDD
2026
Multivariat TimesNet Efficient Test-Time Scaling for LLM-based Time Series Forecasting Code
Stars
Forks
KDD
2026
Domain
Forecasting
TimesNet Aura Aura: Universal Multi-dimensional Exogenous Integration for Aviation Time Series None KDD
2026
Foundation
Multivariat
EpiRecipe
US disease surveillance
CAPE Lightweight Wrappers for Adapting Time Series Foundation Models to Regional Drought Forecasting Code
Stars
Forks
KDD
2026
Multivariat TimesNet DSPR DSPR: Dual-Stream Physics-Residual Networks for Trustworthy Industrial Time Series Forecasting None KDD
2026
Domain
Forecasting
Fourier Geometric Wind Power Forecasting with Numerical Weather Prediction Code
Stars
Forks
KDD
2026
Foundation
Multivariat
Meteorology
Carbon flux
Soil moisture
Energy grid
Guard When to Trust, How to Distill: Multi-Foundation Model Guidance for Lightweight, Robust Scientific Time Series Forecasting Code
Stars
Forks
KDD
2026
Foundation
Multivariat
UrbanFM UrbanFM: Scaling Urban Spatio-Temporal Foundation Models None KDD
2026
Traffic CHITaxi
WSHTaxi
CHIBike
PeMS
CSSG CSSG: A Continuous Spatio-temporal Graph Learning Framework with Scalable Spatial Granularity Code
Stars
Forks
KDD
2026
Traffic PEMS MoST MoST: A Foundation Model for Multi-modality Spatio-temporal Traffic Prediction Code KDD
2026
Multivariat FaST FaST: Efficient and Effective Long-Horizon Forecasting for Large-Scale Spatial-Temporal Graphs via Mixture-of-Experts Code
Stars
Forks
KDD
2026
Traffic PEMS Incident-Guided Spatiotemporal Traffic Forecasting Code
Stars
Forks
KDD
2026
Multivariat TimesNet TimeDistill TimeDistill: Efficient Long-Term Time Series Forecasting with MLP via Cross-Architecture Distillation Code
Stars
Forks
KDD
2026
Multivariat TimesNet LoFT-LLM LoFT-LLM: Low-Frequency Time-series Forecasting with Large Language Models Code
Stars
Forks
KDD
2026
Multivariat TimesNet Neural Predictive Control to Coordinate Discrete- and Continuous-Time Models for Time-Series Analysis with Control-Theoretical Improvements None KDD
2026
Multivariat TimesNet How to Train Your Mamba for Time Series Forecasting None KDD
2026
Traffic PEMS Towards Resilient Transportation: A Conditional Transformer for Accident-Informed Traffic Forecasting Code
Stars
Forks
KDD
2026
Multivariat TimesNet From Tokenizer Bias to Backbone Capability: A Controlled Study of LLMs for Time Series Forecasting Code
Stars
Forks
KDD
2026
Traffic PEMS ChannelMTS ChannelMTS: A Multi-modal Time-Series Framework for High-Speed Railway Channel Prediction None KDD
2026
Foundation
Multivariat
Toward Green Computing: General Carbon Intensity Forecasting via Dual Graph Empowered Time Series Foundation Model None WWW
2026
Multivariat TimesNet Cross-city Time Series Forecasting with Retrieval-Augmented Large Language Models None WWW
2026
Multivariat TimesNet Automated Model Selection for Multivariate Time Series Forecasting None WWW
2026
Multivariat TimesNet GFMixer GFMixer: Decoupled Temporal Gradient and Fourier-Aware Attention for Time Series Forecasting Code
Stars
Forks
WWW
2026
Multivariat TimesNet CRAFT Efficient High-Dimensional Time Series Forecasting with Transformers: A Channel Reordering Perspective None WWW
2026
Multivariat TimesNet DynaME Dynamic Multi-period Experts for Online Time Series Forecasting Code
Stars
Forks
WWW
2026
Multivariat TimesNet Re-Diffusion [Re-Diffusion: Modeling Latent Residuals wi

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