Baichuan Mo — accepted AI-conference papers

2026

ConFlux: Multivariate Time Series in Flux, One Unified Forecast in Confluence

Shiyu Wang, Yuchen Fang, Juntong Ni, Ziyi Zhang, Baichuan Mo, Xinyue Zhong +3

ICML 2026oral

Real-world multivariate time series are inherently in flux: different variables evolve asynchronously and interact in complex, time-varying ways, yet accurate forecasting requires these dispersed signals to converge into a single unified prediction. This structural mismatch between dynamic, heteroge…

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2025

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

Shiyu Wang, Jiawei LI, Xiaoming Shi, Zhou Ye, Baichuan Mo, Wenze Lin +3

ICLR 2025oral

Time series analysis plays a critical role in numerous applications, supporting tasks such as forecasting, classification, anomaly detection, and imputation. In this work, we present the time series pattern machine (TSPM), a model designed to excel in a broad range of time series tasks through power…

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