Yanan Xin

According to our database, Yanan Xin authored at least 16 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Reasoning cartographic knowledge in deep learning-based map generalization with explainable AI.

Cheng Fu, Zhiyong Zhou, Yanan Xin, Robert Weibel

Int. J. Geogr. Inf. Sci., October, 2024

Causal Inference for Spatial Data Analytics (Dagstuhl Seminar 24202).

Martin Tomko, Yanan Xin, Jonas Wahl

Dagstuhl Reports, 2024

Counterfactual Explanations for Deep Learning-Based Traffic Forecasting.

Rushan Wang, Yanan Xin, Yatao Zhang, Fernando Pérez-Cruz, Martin Raubal

CoRR, 2024

2023

Metropolitan Segment Traffic Speeds From Massive Floating Car Data in 10 Cities.

Moritz Neun, Christian Eichenberger, Yanan Xin, Cheng Fu, Nina Wiedemann, Henry Martin, Martin Tomko, Lukas Ambühl, Luca Hermes, Michael Kopp

IEEE Trans. Intell. Transp. Syst., November, 2023

Influence of tracking duration on the privacy of individual mobility graphs.

Nina Wiedemann, Henry Martin, Esra Suel, Ye Hong, Yanan Xin

J. Locat. Based Serv., October, 2023

National-scale bi-directional EV fleet control for ancillary service provision.

Lorenzo Nespoli, Nina Wiedemann, Esra Suel, Yanan Xin, Martin Raubal, Vasco Medici

Energy Inform., January, 2023

Revealing behavioral impact on mobility prediction networks through causal interventions.

Ye Hong, Yanan Xin, Simon Dirmeier, Fernando Pérez-Cruz, Martin Raubal

CoRR, 2023

Vehicle-to-grid for car sharing - A simulation study for 2030.

Nina Wiedemann, Yanan Xin, Vasco Medici, Lorenzo Nespoli, Esra Suel, Martin Raubal

CoRR, 2023

Uncertainty quantification and out-of-distribution detection using surjective normalizing flows.

Simon Dirmeier, Ye Hong, Yanan Xin, Fernando Pérez-Cruz

CoRR, 2023

Spatially-Aware Car-Sharing Demand Prediction.

Dominik J. Mühlematter, Nina Wiedemann, Yanan Xin, Martin Raubal

CoRR, 2023

2022

Anomaly detection for volunteered geographic information: a case study of Safecast data.

Yanan Xin

Int. J. Geogr. Inf. Sci., 2022

Urban Mobility Analytics (Dagstuhl Seminar 22162).

David Jonietz, Monika Sester, Kathleen Stewart, Stephan Winter, Martin Tomko, Yanan Xin

Dagstuhl Reports, 2022

Vision paper: causal inference for interpretable and robust machine learning in mobility analysis.

Yanan Xin, Natasa Tagasovska, Fernando Pérez-Cruz, Martin Raubal

Proceedings of the 30th International Conference on Advances in Geographic Information Systems, 2022

2021

A Clustering-Based Framework for Individual Travel Behaviour Change Detection.

Ye Hong, Yanan Xin, Henry Martin, Dominik Bucher, Martin Raubal

Proceedings of the 11th International Conference on Geographic Information Science, 2021

2020

Characterizing traveling fans: a workflow for event-oriented travel pattern analysis using Twitter data.

Yanan Xin, Alan M. MacEachren

Int. J. Geogr. Inf. Sci., 2020

2019

Mapping Miscanthus Using Multi-Temporal Convolutional Neural Network and Google Earth Engine.

Yanan Xin, Paul R. Adler

Proceedings of the 3rd ACM SIGSPATIAL International Workshop on AI for Geographic Knowledge Discovery, 2019