Ao Qu

Detecting extreme traffic events via a context augmented graph autoencoder

D. Work, Yue Hu, Ao Qu, 2022, ACM Transactions on Intelligent Systems and Technology.

Modeling Multi-Level Patterns of Environmental Migration in Bangladesh: An Agent-Based Approach

Kelsea B. Best, Kelsea Best, Ao Qu, 2021, 2021 Winter Simulation Conference (WSC).

Detecting Extreme Traffic Events Via a Context Augmented Graph Autoencoder

D. Work, Yue Hu, Ao Qu, 2022, ACM Trans. Intell. Syst. Technol..

Scaling laws, force balances and dynamo generation mechanisms in numerical dynamo models: influence of boundary conditions

S. Stanley, G. Dharmaraj, Ao Qu, 2014 .

Domain Adversarial Spatial-Temporal Network: A Transferable Framework for Short-term Traffic Forecasting across Cities

S. C. Wong, W. Lam, A. Chow, 2022, CIKM.

SEIP: Simulation-based Design and Evaluation of Infrastructure-based Collective Perception

Ao Qu, Dajiang Suo, Xuhuan Huang, 2023, 2305.17892.

Dissolving the Segmentation of a Shared Mobility Market: A Framework and Four Market Structure Designs

Hongmou Zhang, Jinhua Zhao, Xiaotong Guo, 2022, 2204.03616.

A Graph Approach to Simulate Twitter Activities with Hawkes Processes

Ismael Lemhadri, Ao Qu, Ao Qu, 2021, 2021 4th International Conference on Mathematics and Statistics.

Graph Convolutional Networks for traffic anomaly pdf

Yue Hu, Dan Work, Ao Qu, 2020, ArXiv.