3 citations · 6 across the 8 of their papers we have counts for
10 papers
HyperMCTS: Hypergraph-Augmented MCTS for Long-Horizon LLM Agents
Tingsong Xiao, Nithish Balachandar Moudhgalya, Chandrayee Basu +5
Long-horizon tasks require large language model (LLM) agents to coordinate decisions under constraints that span an entire solution. Monte Carlo Tree Search (MCTS) offers a promisi…
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…
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…
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…
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…
Spatial Knowledge-Infused Hierarchical Learning: An Application in Flood Mapping on Earth Imagery
Zelin Xu, Tingsong Xiao, Wenchong He +2
Deep learning for Earth imagery plays an increasingly important role in geoscience applications such as agriculture, ecology, and natural disaster management. Still, progress is of…
A Hierarchical Spatial Transformer for Massive Point Samples in Continuous Space
Wenchong He, Zhe Jiang, Tingsong Xiao +5
Transformers are widely used deep learning architectures. Existing transformers are mostly designed for sequences (texts or time series), images or videos, and graphs. This paper p…