Peng Chen

Aurora: Towards Universal Generative Multimodal Time Series Forecasting

Towards Multimodal Time Series Anomaly Detection with Semantic Alignment and Condensed Interaction

CC-Time: Cross-Model and Cross-Modality Time Series Forecasting

Unlocking the Value of Text: Event-Driven Reasoning and Multi-Level Alignment for Time Series Forecasting

RockTS: Robust Time Series Forecasting based on Information Bottleneck and Optimal Transport

Towards a Multimodal Foundation Model for Time Series Analysis

Towards a General Time Series Forecasting Model with Unified Representation and Adaptive Transfer

Air Quality Prediction with Physics-Guided Dual Neural ODEs in Open Systems

LightGTS: A Lightweight General Time Series Forecasting Model

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

Vision-Enhanced Time Series Forecasting by Decomposed Feature Extraction and Composed Reconstruction

FoundTS: Comprehensive and Unified Benchmarking of Foundation Models for Time Series Forecasting