OpenTS - Democratizing AI for Time series and Spatio-temporal data

OpenTS-FM: 时间序列基础模型

OpenTS-FM 提供了强大的零样本（zero-shot）和小样本（few-shot）能力，这种能力可以跨越不同的数据领域或目标任务，旨在解决AGREE框架中的“G挑战”，即泛化（Generalization）问题。

针对异常检测任务的时间序列基础模型

ICLR 2025

Towards A General Time Series Anomaly Detector with Adaptive Bottlenecks And Dual Adversarial Decoders

Qichao Shentu, Beibu Li, Kai Zhao, Yang Shu, Zhongwen Rao, Lujia Pan, Bin Yang, Chenjuan Guo

International Conference on Learning Representations (ICLR), 2025.

[Bib]| [Code]

针对预测任务的时间序列基础模型

ICML 2025

LightGTS: A Lightweight General Time Series Forecasting Model

Yihang Wang, Yuying Qiu, Peng Chen, Yang Shu, Zhongwen Rao, Lujia Pan, Bin Yang, Chenjuan Guo

International Conference on Machine Learning (ICML), 2025.

[Bib]| [Project]

ICML 2025

ROSE: Register Assisted General Time Series Forecasting with Decomposed Frequency Learning

Yihang Wang, Yuying Qiu, Peng Chen, Kai Zhao, Yang Shu, Zhongwen Rao, Lujia Pan, Bin Yang, Chenjuan Guo

International Conference on Machine Learning (ICML), 2025.

[Bib]| [Project]

针对分类任务的时间序列基础模型

ICDE 2025

AimTS: Augmented Series and Image Contrastive Learning for Time Series Classification

Yuxuan Chen, Shanshan Huang, Yunyao Cheng, Peng Chen, Zhongwen Rao, Yang Shu, Bin Yang, Lujia Pan, Chenjuan Guo

International Conference on Data Engineering (ICDE), 2025.

[Bib]