Recognizing terrain features on terrestrial surface using a deep learning model: an example with crater detection. - Wenwen Li 002; Bin Zhou; Chia-Yu Hsu 001; Yixing Li; Fengbo Ren (GeoAI@SIGSPATIAL, 2017)

Learning from Counting: Leveraging Temporal Classification for Weakly Supervised Object Localization and Detection. - Chia-Yu Hsu 001; Wenwen Li 002 (BMVC, 2020)

Automated terrain feature identification from remote sensing imagery: a deep learning approach. - Wenwen Li 002; Chia-Yu Hsu 001 (Int. J. Geogr. Inf. Sci., 2020)

Knowledge-Driven GeoAI: Integrating Spatial Knowledge into Multi-Scale Deep Learning for Mars Crater Detection. - Chia-Yu Hsu 001; Wenwen Li 002; Sizhe Wang (Remote. Sens., 2021)

Real-time GeoAI for high-resolution mapping and segmentation of arctic permafrost features: the case of ice-wedge polygons. - Wenwen Li 002; Chia-Yu Hsu 001; Sizhe Wang; Chandi Witharana; Anna Liljedahl (GeoAI@SIGSPATIAL, 2022)

GeoAI for Large-Scale Image Analysis and Machine Vision: Recent Progress of Artificial Intelligence in Geography. - Wenwen Li 002; Chia-Yu Hsu 001 (ISPRS Int. J. Geo Inf., 2022)

Assessment of a new GeoAI foundation model for flood inundation mapping. - Wenwen Li 002; Hyunho Lee; Sizhe Wang; Chia-Yu Hsu 001; Samantha T. Arundel (GeoAI@SIGSPATIAL, 2023)

Real-time GeoAI for High-resolution Mapping and Segmentation of Arctic Permafrost Features. - Wenwen Li 002; Chia-Yu Hsu 001; Sizhe Wang; Chandi Witharana; Anna Liljedahl (CoRR, 2023)

Assessment of IBM and NASA's geospatial foundation model in flood inundation mapping. - Wenwen Li 002; Hyunho Lee; Sizhe Wang; Chia-Yu Hsu 001; Samantha T. Arundel (CoRR, 2023)

Explainable GeoAI: can saliency maps help interpret artificial intelligence's learning process? An empirical study on natural feature detection. - Chia-Yu Hsu 001; Wenwen Li 002 (Int. J. Geogr. Inf. Sci., 2023)

GeoImageNet: a multi-source natural feature benchmark dataset for GeoAI and supervised machine learning. - Wenwen Li 002; Sizhe Wang; Samantha T. Arundel; Chia-Yu Hsu 001 (GeoInformatica, 2023)

Correction to: GeoImageNet: a multi-source natural feature benchmark dataset for GeoAI and supervised machine learning. - Wenwen Li 002; Sizhe Wang; Samantha T. Arundel; Chia-Yu Hsu 001 (GeoInformatica, 2023)

GeoAI Reproducibility and Replicability: a computational and spatial perspective. - Wenwen Li 002; Chia-Yu Hsu 001; Sizhe Wang; Peter Kedron (CoRR, 2024)

Geospatial foundation models for image analysis: evaluating and enhancing NASA-IBM Prithvi's domain adaptability. - Chia-Yu Hsu 001; Wenwen Li 002; Sizhe Wang (CoRR, 2024)

Prithvi-EO-2.0: A Versatile Multi-Temporal Foundation Model for Earth Observation Applications. - Daniela Szwarcman; Sujit Roy; Paolo Fraccaro; Þorsteinn Elí Gíslason; Benedikt Blumenstiel; Rinki Ghosal; Pedro Henrique de Oliveira; João Lucas de Sousa Almeida; Rocco Sedona; Yanghui Kang; Srija Chakraborty; Sizhe Wang; et al. (CoRR, 2024)

Advancing Arctic Sea Ice Remote Sensing with AI and Deep Learning: Opportunities and Challenges. - Wenwen Li 002; Chia-Yu Hsu 001; Marco Tedesco (Remote. Sens., 2024)

Segment Anything Model Can Not Segment Anything: Assessing AI Foundation Model's Generalizability in Permafrost Mapping. - Wenwen Li 002; Chia-Yu Hsu 001; Sizhe Wang; Yezhou Yang; Hyunho Lee; Anna Liljedahl; Chandi Witharana; Yili Yang; Brendan M. Rogers; Samantha T. Arundel; Matthew B. Jones; Kenton McHenry; et al. (Remote. Sens., 2024)

A Multiscale Vision Transformer-Based Multimodal GeoAI Model for Mapping Arctic Permafrost Thaw. - Wenwen Li 002; Chia-Yu Hsu 001; Sizhe Wang; Zhining Gu; Yili Yang; Brendan M. Rogers; Anna Liljedahl (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2025)

STEPNet: A Spatial and Temporal Encoding Pipeline to Handle Temporal Heterogeneity in Climate Modeling Using AI: A Use Case of Sea Ice Forecasting. - Sizhe Wang; Wenwen Li 002; Chia-Yu Hsu 001 (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2025)

A multi-scale vision transformer-based multimodal GeoAI model for mapping Arctic permafrost thaw. - Wenwen Li 002; Chia-Yu Hsu 001; Sizhe Wang; Zhining Gu; Yili Yang; Brendan M. Rogers; Anna Liljedahl (CoRR, 2025)

Pan-Arctic Permafrost Landform and Human-built Infrastructure Feature Detection with Vision Transformers and Location Embeddings. - Amal Shehan Perera; David Fernandez; Chandi Witharana; Elias Manos; Michael Pimenta; Anna K. Liljedahl; Ingmar Nitze; Yili Yang; Todd Nicholson; Chia-Yu Hsu 001; Wenwen Li 002; Guido Grosse (CoRR, 2025)