5 papers · 1 filter
UniMamba: A Unified Spatial-Temporal Modeling Framework with State-Space and Attention Integration
Xingsheng Chen, Xianpei Mu, Deyu Yi +6
Multivariate time series forecasting is fundamental to numerous domains such as energy, finance, and environmental monitoring, where complex temporal dependencies and cross-variabl…
GeoCert: Certified Geometric AI for Reliable Forecasting
Regina Zhang, Zongru Li, Honggang Wen +4
Forecasting systems in science must be accurate, physically consistent, and certifiably reliable. Most existing models address prediction, constraint enforcement, and verification…
A Systematic Survey and Benchmark of Deep Learning for Molecular Property Prediction in the Foundation Model Era
Zongru Li, Xingsheng Chen, Honggang Wen +8
Molecular property prediction integrates quantum chemistry, cheminformatics, and deep learning to connect molecular structure with physicochemical and biological behavior. This sur…
MODE: Efficient Time Series Prediction with Mamba Enhanced by Low-Rank Neural ODEs
Xingsheng Chen, Regina Zhang, Bo Gao +5
Time series prediction plays a pivotal role across diverse domains such as finance, healthcare, energy systems, and environmental modeling. However, existing approaches often strug…
AutoHFormer: Efficient Hierarchical Autoregressive Transformer for Time Series Prediction
Qianru Zhang, Honggang Wen, Ming Li +4
Time series forecasting requires architectures that simultaneously achieve three competing objectives: (1) strict temporal causality for reliable predictions, (2) sub-quadratic com…