activity
20192024
most citedEpiMob: Interactive Visual Analytics of Citywide Human Mobility Restrictions for Epidemic Control

46 citations · 133 across the 8 of their papers we have counts for

collaborators

8 papers

cs.LG2024

SIMformer: Single-Layer Vanilla Transformer Can Learn Free-Space Trajectory Similarity

Chuang Yang, Renhe Jiang, Xiaohang Xu +2

Free-space trajectory similarity calculation, e.g., DTW, Hausdorff, and Frechet, often incur quadratic time complexity, thus learning-based methods have been proposed to accelerate…

cs.CL2024★ 18 cited

Llama-Mob: Instruction-Tuning Llama-3-8B Excels in City-Scale Mobility Prediction

Peizhi Tang, Chuang Yang, Tong Xing +4

Human mobility prediction plays a critical role in applications such as disaster response, urban planning, and epidemic forecasting. Traditional methods often rely on designing cra…

cs.SI2024★ 1 cited

Taming the Long Tail in Human Mobility Prediction

Xiaohang Xu, Renhe Jiang, Chuang Yang +2

With the popularity of location-based services, human mobility prediction plays a key role in enhancing personalized navigation, optimizing recommendation systems, and facilitating…

cs.AI2024★ 12 cited

Large Language Models as Urban Residents: An LLM Agent Framework for Personal Mobility Generation

Jiawei Wang, Renhe Jiang, Chuang Yang +5

This paper introduces a novel approach using Large Language Models (LLMs) integrated into an agent framework for flexible and effective personal mobility generation. LLMs overcome…

cs.LG2023★ 26 cited

Revisiting Mobility Modeling with Graph: A Graph Transformer Model for Next Point-of-Interest Recommendation

Xiaohang Xu, Toyotaro Suzumura, Jiawei Yong +5

Next Point-of-Interest (POI) recommendation plays a crucial role in urban mobility applications. Recently, POI recommendation models based on Graph Neural Networks (GNN) have been…

cs.CY2023★ 22 cited

Metapopulation Graph Neural Networks: Deep Metapopulation Epidemic Modeling with Human Mobility

Qi Cao, Renhe Jiang, Chuang Yang +3

Epidemic prediction is a fundamental task for epidemic control and prevention. Many mechanistic models and deep learning models are built for this task. However, most mechanistic m…

cs.HC2020★ 46 cited

EpiMob: Interactive Visual Analytics of Citywide Human Mobility Restrictions for Epidemic Control

Chuang Yang, Zhiwen Zhang, Zipei Fan +4

The outbreak of coronavirus disease (COVID-19) has swept across more than 180 countries and territories since late January 2020. As a worldwide emergency response, governments have…

cs.LG2019★ 8 cited

VLUC: An Empirical Benchmark for Video-Like Urban Computing on Citywide Crowd and Traffic Prediction

Renhe Jiang, Zekun Cai, Zhaonan Wang +5

Nowadays, massive urban human mobility data are being generated from mobile phones, car navigation systems, and traffic sensors. Predicting the density and flow of the crowd or tra…