4 citations · 4 across the 5 of their papers we have counts for
5 papers
PnP-Corrector: A Universal Correction Framework for Coupled Spatiotemporal Forecasting
Hao Wu, Fan Xu, Yuxu Lu +9
Coupled spatiotemporal forecasting is important for predicting the future evolution of multiple interacting dynamical systems, such as in climate models. However, existing methods…
From Instance Selection to Fixed-Pool Data Recipe Search for Supervised Fine-Tuning
Haodong Wu, Jiahao Zhang, Lijie Hu +1
Supervised fine-tuning (SFT) data selection is commonly formulated as instance ranking: score each example and retain a top- subset. However, effective SFT training subsets are…
OMNIFLOW: A Physics-Grounded Multimodal Agent for Generalized Scientific Reasoning
Hao Wu, Yongheng Zhang, Yuan Gao +7
Large Language Models (LLMs) have demonstrated exceptional logical reasoning capabilities but frequently struggle with the continuous spatiotemporal dynamics governed by Partial Di…
Modeling Spatio-temporal Dynamical Systems with Neural Discrete Learning and Levels-of-Experts
Kun Wang, Hao Wu, Guibin Zhang +5
In this paper, we address the issue of modeling and estimating changes in the state of the spatio-temporal dynamical systems based on a sequence of observations like video frames.…
Earthfarseer: Versatile Spatio-Temporal Dynamical Systems Modeling in One Model
Hao Wu, Yuxuan Liang, Wei Xiong +4
Efficiently modeling spatio-temporal (ST) physical processes and observations presents a challenging problem for the deep learning community. Many recent studies have concentrated…