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20242026
most citedDynamic Graph Representation Learning for Passenger Behavior Prediction

3 citations · 3 across the 4 of their papers we have counts for

collaborators

5 papers

cs.CL2026

DuConTE: Dual-Granularity Text Encoder with Topology-Constrained Attention for Text-attributed Graphs

Lexuan Liang, Tao Zou, Xuxiang Ta +1

Text-attributed graphs integrate semantic information of node texts with topological structure, offering significant value in various applications such as document classification a…

cs.LG2026

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…

cs.LG2026

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…

cs.LG2025

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…

cs.LG20243 cited

Dynamic Graph Representation Learning for Passenger Behavior Prediction

Mingxuan Xie, Tao Zou, Junchen Ye +2

Passenger behavior prediction aims to track passenger travel patterns through historical boarding and alighting data, enabling the analysis of urban station passenger flow and time…