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ORCIDYanan Xin 0001
Person information
- affiliation: ETH Zurich, Switzerland
- affiliation (former): Pennsylvania State University, PA, USA
Other persons with the same name
- Yanan Xin — disambiguation page
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2020 – today
- 2024
[j6]Cheng Fu
, Zhiyong Zhou, Yanan Xin, Robert Weibel:
Reasoning cartographic knowledge in deep learning-based map generalization with explainable AI. Int. J. Geogr. Inf. Sci. 38(10): 2061-2082 (2024)- [e1]Jianwu Wang, Sahara Ali, Yanan Xin:
Proceedings of the 1st ACM SIGSPATIAL International Workshop on Spatiotemporal Causal Analysis, STCausal 2024, Atlanta, GA, USA, 29 October 2024 - 1 November 2024. ACM 2024, ISBN 979-8-4007-1154-1 [contents] - [i9]Rushan Wang, Yanan Xin, Yatao Zhang, Fernando Pérez-Cruz, Martin Raubal:
Counterfactual Explanations for Deep Learning-Based Traffic Forecasting. CoRR abs/2405.00456 (2024) - 2023
- [j5]Lorenzo Nespoli, Nina Wiedemann, Esra Suel, Yanan Xin, Martin Raubal, Vasco Medici:
National-scale bi-directional EV fleet control for ancillary service provision. Energy Inform. 6(1): 40 (2023) - [j4]Nina Wiedemann, Henry Martin, Esra Suel, Ye Hong, Yanan Xin:
Influence of tracking duration on the privacy of individual mobility graphs. J. Locat. Based Serv. 17(4): 370-388 (2023) - [j3]Moritz Neun, Christian Eichenberger, Yanan Xin, Cheng Fu, Nina Wiedemann, Henry Martin, Martin Tomko, Lukas Ambühl, Luca Hermes, Michael Kopp:
Metropolitan Segment Traffic Speeds From Massive Floating Car Data in 10 Cities. IEEE Trans. Intell. Transp. Syst. 24(11): 12821-12830 (2023) - [i8]Moritz Neun, Christian Eichenberger, Yanan Xin, Cheng Fu, Nina Wiedemann, Henry Martin, Martin Tomko, Lukas Ambühl, Luca Hermes, Michael Kopp:
Metropolitan Segment Traffic Speeds from Massive Floating Car Data in 10 Cities. CoRR abs/2302.08761 (2023) - [i7]Dominik J. Mühlematter, Nina Wiedemann, Yanan Xin, Martin Raubal:
Spatially-Aware Car-Sharing Demand Prediction. CoRR abs/2303.14421 (2023) - [i6]Simon Dirmeier, Ye Hong, Yanan Xin, Fernando Pérez-Cruz:
Uncertainty quantification and out-of-distribution detection using surjective normalizing flows. CoRR abs/2311.00377 (2023) - [i5]Nina Wiedemann, Yanan Xin, Vasco Medici, Lorenzo Nespoli, Esra Suel, Martin Raubal:
Vehicle-to-grid for car sharing - A simulation study for 2030. CoRR abs/2311.07349 (2023) - [i4]Ye Hong, Yanan Xin, Simon Dirmeier, Fernando Pérez-Cruz, Martin Raubal:
Revealing behavioral impact on mobility prediction networks through causal interventions. CoRR abs/2311.11749 (2023) - 2022
- [j2]Yanan Xin:
Anomaly detection for volunteered geographic information: a case study of Safecast data. Int. J. Geogr. Inf. Sci. 36(7): 1423-1442 (2022) - [c3]Yanan Xin, Natasa Tagasovska, Fernando Pérez-Cruz, Martin Raubal:
Vision paper: causal inference for interpretable and robust machine learning in mobility analysis. SIGSPATIAL/GIS 2022: 66:1-66:4 - [i3]Lorenzo Nespoli, Nina Wiedemann, Esra Suel, Yanan Xin, Martin Raubal, Vasco Medici:
National-scale bi-directional EV fleet control for ancillary service provision. CoRR abs/2210.07756 (2022) - [i2]Yanan Xin, Natasa Tagasovska, Fernando Pérez-Cruz, Martin Raubal:
Vision Paper: Causal Inference for Interpretable and Robust Machine Learning in Mobility Analysis. CoRR abs/2210.10010 (2022) - [i1]David Jonietz, Monika Sester, Kathleen Stewart, Stephan Winter, Martin Tomko, Yanan Xin:
Urban Mobility Analytics (Dagstuhl Seminar 22162). Dagstuhl Reports 12(4): 26-53 (2022) - 2021
- [c2]Ye Hong, Yanan Xin, Henry Martin, Dominik Bucher, Martin Raubal:
A Clustering-Based Framework for Individual Travel Behaviour Change Detection. GIScience (II) 2021: 4:1-4:15 - 2020
- [j1]Yanan Xin, Alan M. MacEachren:
Characterizing traveling fans: a workflow for event-oriented travel pattern analysis using Twitter data. Int. J. Geogr. Inf. Sci. 34(12): 2497-2516 (2020)
2010 – 2019
- 2019
- [c1]Yanan Xin, Paul R. Adler:
Mapping Miscanthus Using Multi-Temporal Convolutional Neural Network and Google Earth Engine. GeoAI@SIGSPATIAL 2019: 81-84
Coauthor Index
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