Learning Dynamic Graphs from All Contextual Information for Accurate Point-of-Interest Visit Forecasting

no code implementations • 28 Jun 2023 • Arash Hajisafi, Haowen Lin, Sina Shaham, Haoji Hu, Maria Despoina Siampou, Yao-Yi Chiang, Cyrus Shahabi

Forecasting the number of visits to Points-of-Interest (POI) in an urban area is critical for planning and decision-making for various application domains, from urban planning and transportation management to public health and social studies.

Decision Making Management +2

Clustering Human Mobility with Multiple Spaces

no code implementations • 20 Jan 2023 • Haoji Hu, Haowen Lin, Yao-Yi Chiang

Human mobility clustering is an important problem for understanding human mobility behaviors (e. g., work and school commutes).

Clustering Trajectory Clustering

Integer-arithmetic-only Certified Robustness for Quantized Neural Networks

no code implementations • ICCV 2021 • Haowen Lin, Jian Lou, Li Xiong, Cyrus Shahabi

Adversarial data examples have drawn significant attention from the machine learning and security communities.

Quantization

SemiFed: Semi-supervised Federated Learning with Consistency and Pseudo-Labeling

no code implementations • 21 Aug 2021 • Haowen Lin, Jian Lou, Li Xiong, Cyrus Shahabi

Federated learning enables multiple clients, such as mobile phones and organizations, to collaboratively learn a shared model for prediction while protecting local data privacy.

Data Augmentation Federated Learning +1