Ming Jin

TimeOmni-1: Incentivizing Complex Reasoning with Time Series in Large Language Models

Continuous Evolution Pool: Taming Recurring Concept Drift in Online Time Series Forecasting

Estimating Time Series Foundation Model Transferability via In-Context Learning

OATS: Online Data Augmentation for Time Series Foundation Models

UniFy: Efficient Modeling of Non-Stationary Periodicity for Time Series Forecasting

TimeMixer++: A General Time Series Pattern Machine for Universal Predictive Analysis

Time-MoE: Billion-Scale Time Series Foundation Models with Mixture of Experts

ShapeX: Shapelet-Driven Post Hoc Explanations for Time Series Classification Models

DyG-Mamba: Continuous State Space Modeling on Dynamic Graphs

Multi-Scale Finetuning for Encoder-based Time Series Foundation Models

Towards Neural Scaling Laws for Time Series Foundation Models

GraphSTAGE: Channel-Preserving Graph Neural Networks for Time Series Forecasting

Time-VLM: Exploring Multimodal Vision-Language Models for Augmented Time Series Forecasting