Mapping Miscanthus Using Multi-Temporal Convolutional Neural Network and Google Earth Engine. - Yanan Xin 001; Paul R. Adler (GeoAI@SIGSPATIAL, 2019)

Characterizing traveling fans: a workflow for event-oriented travel pattern analysis using Twitter data. - Yanan Xin 001; Alan M. MacEachren (Int. J. Geogr. Inf. Sci., 2020)

A Clustering-Based Framework for Individual Travel Behaviour Change Detection. - Ye Hong; Yanan Xin 001; Henry Martin; Dominik Bucher; Martin Raubal (GIScience (II), 2021)

Optimizing Electric Vehicle Charging Schedules Based on Probabilistic Forecast of Individual Mobility. - Haojun Cai; Yanan Xin 001; Henry Martin; Martin Raubal (AGILE Conf., 2022)

Vision paper: causal inference for interpretable and robust machine learning in mobility analysis. - Yanan Xin 001; Natasa Tagasovska; Fernando Pérez-Cruz; Martin Raubal (SIGSPATIAL/GIS, 2022)

Urban Mobility Analytics (Dagstuhl Seminar 22162). - David Jonietz; Monika Sester; Kathleen Stewart; Stephan Winter 001; Martin Tomko; Yanan Xin 001 (Dagstuhl Reports, 2022)

Anomaly detection for volunteered geographic information: a case study of Safecast data. - Yanan Xin 001 (Int. J. Geogr. Inf. Sci., 2022)

Spatially-Aware Car-Sharing Demand Prediction. - Dominik J. Mühlematter; Nina Wiedemann; Yanan Xin 001; Martin Raubal (CoRR, 2023)

Uncertainty quantification and out-of-distribution detection using surjective normalizing flows. - Simon Dirmeier; Ye Hong; Yanan Xin 001; Fernando Pérez-Cruz (CoRR, 2023)

Vehicle-to-grid for car sharing - A simulation study for 2030. - Nina Wiedemann; Yanan Xin 001; Vasco Medici; Lorenzo Nespoli; Esra Suel; Martin Raubal (CoRR, 2023)

Revealing behavioral impact on mobility prediction networks through causal interventions. - Ye Hong; Yanan Xin 001; Simon Dirmeier; Fernando Pérez-Cruz; Martin Raubal (CoRR, 2023)

National-scale bi-directional EV fleet control for ancillary service provision. - Lorenzo Nespoli; Nina Wiedemann; Esra Suel; Yanan Xin 001; Martin Raubal; Vasco Medici (Energy Inform., 2023)

Influence of tracking duration on the privacy of individual mobility graphs. - Nina Wiedemann; Henry Martin; Esra Suel; Ye Hong; Yanan Xin 001 (J. Locat. Based Serv., 2023)

Metropolitan Segment Traffic Speeds From Massive Floating Car Data in 10 Cities. - Moritz Neun; Christian Eichenberger; Yanan Xin 001; Cheng Fu; Nina Wiedemann; Henry Martin; Martin Tomko; Lukas Ambühl; Luca Hermes; Michael Kopp 001 (IEEE Trans. Intell. Transp. Syst., 2023)

Counterfactual Explanations for Deep Learning-Based Traffic Forecasting. - Rushan Wang; Yanan Xin 001; Yatao Zhang; Fernando Pérez-Cruz; Martin Raubal (CoRR, 2024)

Causal Inference for Spatial Data Analytics (Dagstuhl Seminar 24202). - Martin Tomko; Yanan Xin 001; Jonas Wahl (Dagstuhl Reports, 2024)

Reasoning cartographic knowledge in deep learning-based map generalization with explainable AI. - Cheng Fu; Zhiyong Zhou; Yanan Xin 001; Robert Weibel (Int. J. Geogr. Inf. Sci., 2024)