7 papers
Temporally Detailed Hypergraph Neural ODEs for Disease Progression Modeling
Tingsong Xiao, Yao An Lee, Zelin Xu +6
Disease progression modeling aims to characterize and predict how a patient's disease complications worsen over time based on longitudinal electronic health records (EHRs). For dis…
EarthSpatialBench: Benchmarking Spatial Reasoning Capabilities of Multimodal LLMs on Earth Imagery
Zelin Xu, Yupu Zhang, Saugat Adhikari +6
Benchmarking spatial reasoning in multimodal large language models (MLLMs) has attracted growing interest in computer vision due to its importance for embodied AI and other agentic…
Spatio-temporal Multivariate Time Series Forecast with Chosen Variables
Zibo Liu, Zhe Jiang, Zelin Xu +5
Spatio-Temporal Multivariate time series Forecast (STMF) uses the time series of spatially distributed variables in a period of recent past to forecast their values in a period…
Spatio-Temporal Partial Sensing Forecast for Long-term Traffic
Zibo Liu, Zhe Jiang, Zelin Xu +5
Traffic forecasting uses recent measurements by sensors installed at chosen locations to forecast the future road traffic. Existing work either assumes all locations are equipped w…
DecoyDB: A Dataset for Graph Contrastive Learning in Protein-Ligand Binding Affinity Prediction
Yupu Zhang, Zelin Xu, Tingsong Xiao +4
Predicting the binding affinity of protein-ligand complexes plays a vital role in drug discovery. Unfortunately, progress has been hindered by the lack of large-scale and high-qual…
Accelerate Coastal Ocean Circulation Model with AI Surrogate
Zelin Xu, Jie Ren, Yupu Zhang +8
Nearly 900 million people live in low-lying coastal zones around the world and bear the brunt of impacts from more frequent and severe hurricanes and storm surges. Oceanographers s…