24 citations · 46 across the 7 of their papers we have counts for
7 papers
Large Language Model-driven Meta-structure Discovery in Heterogeneous Information Network
Lin Chen, Fengli Xu, Nian Li +4
Heterogeneous information networks (HIN) have gained increasing popularity in recent years for capturing complex relations between diverse types of nodes. Meta-structures are propo…
Devil in the Landscapes: Inferring Epidemic Exposure Risks from Street View Imagery
Zhenyu Han, Yanxin Xi, Tong Xia +2
Built environment supports all the daily activities and shapes our health. Leveraging informative street view imagery, previous research has established the profound correlation be…
How enlightened self-interest guided global vaccine sharing benefits all: a modelling study
Zhenyu Han, Qianyue Hao, Qiwei He +4
Background: Despite the consensus that vaccines play an important role in combating the global spread of infectious diseases, vaccine inequity is still rampant with deep-seated men…
Multi-Scale Simulation of Complex Systems: A Perspective of Integrating Knowledge and Data
Huandong Wang, Huan Yan, Can Rong +6
Complex system simulation has been playing an irreplaceable role in understanding, predicting, and controlling diverse complex systems. In the past few decades, the multi-scale sim…
Strategic COVID-19 vaccine distribution can simultaneously elevate social utility and equity
Lin Chen, Fengli Xu, Zhenyu Han +4
Balancing social utility and equity in distributing limited vaccines represents a critical policy concern for protecting against the prolonged COVID-19 pandemic. What is the nature…
Genetic Meta-Structure Search for Recommendation on Heterogeneous Information Network
Zhenyu Han, Fengli Xu, Jinghan Shi +4
In the past decade, the heterogeneous information network (HIN) has become an important methodology for modern recommender systems. To fully leverage its power, manually designed n…
Policy-Aware Mobility Model Explains the Growth of COVID-19 in Cities
Zhenyu Han, Fengli Xu, Yong Li +4
With the continued spread of coronavirus, the task of forecasting distinctive COVID-19 growth curves in different cities, which remain inadequately explained by standard epidemiolo…