12 citations · 13 across the 8 of their papers we have counts for
8 papers
VNU-Bench: A Benchmarking Dataset for Multi-Source Multimodal News Video Understanding
Zibo Liu, Muyang Li, Zhe Jiang +1
News videos are carefully edited multimodal narratives that combine narration, visuals, and external quotations into coherent storylines. In recent years, there have been significa…
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…
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…
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…
Multi-View Neural Differential Equations for Continuous-Time Stream Data in Long-Term Traffic Forecasting
Zibo Liu, Zhe Jiang, Shigang Chen
Long-term traffic flow forecasting plays a crucial role in intelligent transportation as it allows traffic managers to adjust their decisions in advance. However, the problem is ch…
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…
XTSFormer: Cross-Temporal-Scale Transformer for Irregular-Time Event Prediction in Clinical Applications
Tingsong Xiao, Zelin Xu, Wenchong He +8
Adverse clinical events related to unsafe care are among the top ten causes of death in the U.S. Accurate modeling and prediction of clinical events from electronic health records…
Graph-based Multi-ODE Neural Networks for Spatio-Temporal Traffic Forecasting
Zibo Liu, Parshin Shojaee, Chandan K Reddy
There is a recent surge in the development of spatio-temporal forecasting models in the transportation domain. Long-range traffic forecasting, however, remains a challenging task d…