5 papers
Text-Aided Multi-Modal Panoptic Symbol Spotting for CAD Floor Plan Drawings
Yan Gong, Bohao Li, Bowen Du +1
The paper introduces TextCAD, a multimodal system that jointly processes graphical primitives and textual annotations in CAD floor plan drawings to improve panoptic symbol spotting…
A Clinical Point Cloud Paradigm for In-Hospital Mortality Prediction from Multi-Level Incomplete Multimodal EHRs
Bohao Li, Tao Zou, Junchen Ye +2
Deep learning-based modeling of multimodal Electronic Health Records (EHRs) has become an important approach for clinical diagnosis and risk prediction. However, due to diverse cli…
Incident-Guided Spatiotemporal Traffic Forecasting
Lixiang Fan, Bohao Li, Tao Zou +2
Recent years have witnessed the rapid development of deep-learning-based, graph-neural-network-based forecasting methods for modern intelligent transportation systems. However, mos…
Global-Lens Transformers: Adaptive Token Mixing for Dynamic Link Prediction
Tao Zou, Chengfeng Wu, Tianxi Liao +2
Dynamic graph learning plays a pivotal role in modeling evolving relationships over time, especially for temporal link prediction tasks in domains such as traffic systems, social n…
Text-Enhanced Panoptic Symbol Spotting in CAD Drawings
Xianlin Liu, Yan Gong, Bohao Li +4
With the widespread adoption of Computer-Aided Design(CAD) drawings in engineering, architecture, and industrial design, the ability to accurately interpret and analyze these drawi…