Sherrie Wang - RankMe

32 papers A* 3C 2Journal 24Unranked 3

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Conformal Prediction Sets for Instance Segmentation. CoRR Kerri Lu, Dan M. Kluger, Stephen Bates, Sherrie Wang
2026	J	`jnl`	Conformal Prediction for Generative Models via Adaptive Cluster-Based Density Estimation. CoRR Qidong Yang, Qianyu Julie Zhu, Jonathan Giezendanner, Youssef Marzouk, Stephen Bates, Sherrie Wang
2026	A*	`conf`	Masked Mineral Modeling: Continent-Scale Mineral Prospecting via Geospatial Infilling. AAAI Sujay Nair, Evan Austen Coleman, Sherrie Wang, Elsa Olivetti
2026	J	`jnl`	Partial recovery of meter-scale surface weather. CoRR Jonathan Giezendanner, Qidong Yang, Eric Schmitt, Anirban Chandra, Daniel Salles Civitarese, Johannes Jakubik, Jeremy Vila, Detlef Hohl, Campbell D. Watson, Sherrie Wang
2025	J	`jnl`	Invariant Features for Global Crop Type Classification. CoRR Xin-Yi Tong, Sherrie Wang
2025	J	`jnl`	Masked Mineral Modeling: Continent-Scale Mineral Prospecting via Geospatial Infilling. CoRR Sujay Nair, Evan Coleman, Sherrie Wang, Elsa Olivetti
2025	J	`jnl`	Observation-driven correction of numerical weather prediction for marine winds. CoRR Matteo Peduto, Qidong Yang, Jonathan Giezendanner, Devis Tuia, Sherrie Wang
2025	J	`jnl`	Prediction-Powered Inference with Imputed Covariates and Nonuniform Sampling. CoRR Dan M. Kluger, Kerri Lu, Tijana Zrnic, Sherrie Wang, Stephen Bates
2024	A*	`conf`	Combining Deep Learning and Street View Imagery to Map Smallholder Crop Types. AAAI Jordi Laguarta Soler, Thomas Friedel, Sherrie Wang
2024	—	`conf`	Good at captioning, bad at counting: Benchmarking GPT-4V on Earth observation data. CVPR Workshops Chenhui Zhang, Sherrie Wang
2024	J	`jnl`	Good at captioning, bad at counting: Benchmarking GPT-4V on Earth observation data. CoRR Chenhui Zhang, Sherrie Wang
2024	J	`jnl`	Multi-modal graph neural networks for localized off-grid weather forecasting. CoRR Qidong Yang, Jonathan Giezendanner, Daniel Salles Civitarese, Johannes Jakubik, Eric Schmitt, Anirban Chandra, Jeremy Vila, Detlef Hohl, Christopher Hill, Campbell D. Watson, Sherrie Wang
2024	J	`jnl`	Taking it further: Leveraging pseudo-labels for field delineation across label-scarce smallholder regions. Int. J. Appl. Earth Obs. Geoinformation Philippe Rufin, Sherrie Wang, Sá Nogueira Lisboa, Jan Hemmerling, Mirela G. Tulbure, Patrick Meyfroidt
2023	J	`jnl`	Annual Field-Scale Maps of Tall and Short Crops at the Global Scale Using GEDI and Sentinel-2. Remote. Sens. Stefania Di Tommaso, Sherrie Wang, Vivek Vajipey, Noel Gorelick, Rob Strey, David B. Lobell
2023	J	`jnl`	Combining deep learning and street view imagery to map smallholder crop types. CoRR Jordi Laguarta, Thomas Friedel, Sherrie Wang
2023	J	`jnl`	Taking it further: leveraging pseudo labels for field delineation across label-scarce smallholder regions. CoRR Philippe Rufin, Sherrie Wang, Sá Nogueira Lisboa, Jan Hemmerling, Mirela G. Tulbure, Patrick Meyfroidt
2022	J	`jnl`	Annual field-scale maps of tall and short crops at the global scale using GEDI and Sentinel-2. CoRR Stefania Di Tommaso, Sherrie Wang, Vivek Vajipey, Noel Gorelick, Rob Strey, David B. Lobell
2022	C	`conf`	Humans are Poor Few-Shot Classifiers for Sentinel-2 Land Cover. IGARSS Marc Rußwurm, Sherrie Wang, Devis Tuia
2022	J	`jnl`	Mapping Sugarcane in Central India with Smartphone Crowdsourcing. Remote. Sens. Ju Young Lee, Sherrie Wang, Anjuli Jain Figueroa, Rob Strey, David B. Lobell, Rosamond L. Naylor, Steven M. Gorelick
2022	J	`jnl`	Unlocking Large-Scale Crop Field Delineation in Smallholder Farming Systems with Transfer Learning and Weak Supervision. Remote. Sens. Sherrie Wang, François Waldner, David B. Lobell
2022	J	`jnl`	Unlocking large-scale crop field delineation in smallholder farming systems with transfer learning and weak supervision. CoRR Sherrie Wang, François Waldner, David B. Lobell
2021	J	`jnl`	Combining GEDI and Sentinel-2 for wall-to-wall mapping of tall and short crops. CoRR Stefania Di Tommaso, Sherrie Wang, David B. Lobell
2021	—	`conf`	SustainBench: Benchmarks for Monitoring the Sustainable Development Goals with Machine Learning. NeurIPS Datasets and Benchmarks Christopher Yeh, Chenlin Meng, Sherrie Wang, Anne Driscoll, Erik Rozi, Patrick Liu, Jihyeon Janel Lee, Marshall Burke, David B. Lobell, Stefano Ermon
2021	J	`jnl`	SustainBench: Benchmarks for Monitoring the Sustainable Development Goals with Machine Learning. CoRR Christopher Yeh, Chenlin Meng, Sherrie Wang, Anne Driscoll, Erik Rozi, Patrick Liu, Jihyeon Janel Lee, Marshall Burke, David B. Lobell, Stefano Ermon
2021	J	`jnl`	Two Shifts for Crop Mapping: Leveraging Aggregate Crop Statistics to Improve Satellite-based Maps in New Regions. CoRR Dan M. Kluger, Sherrie Wang, David B. Lobell
2020	C	`conf`	Landsat-Based Reconstruction of Corn and Soybean Yield Histories in the United States Since 1999. IGARSS David B. Lobell, Walter T. Dado, Jillian M. Deines, Stefania Di Tommaso, Sherrie Wang
2020	J	`jnl`	Mapping Crop Types in Southeast India with Smartphone Crowdsourcing and Deep Learning. Remote. Sens. Sherrie Wang, Stefania Di Tommaso, Joey Faulkner, Thomas Friedel, Alexander Kennepohl, Rob Strey, David B. Lobell
2020	—	`conf`	Meta-Learning for Few-Shot Land Cover Classification. CVPR Workshops Marc Rußwurm, Sherrie Wang, Marco Körner, David B. Lobell
2020	J	`jnl`	Meta-Learning for Few-Shot Land Cover Classification. CoRR Marc Rußwurm, Sherrie Wang, Marco Körner, David B. Lobell
2020	J	`jnl`	Weakly Supervised Deep Learning for Segmentation of Remote Sensing Imagery. Remote. Sens. Sherrie Wang, William Chen, Sang Michael Xie, George Azzari, David B. Lobell
2019	A*	`conf`	Tile2Vec: Unsupervised Representation Learning for Spatially Distributed Data. AAAI Neal Jean, Sherrie Wang, Anshul Samar, George Azzari, David B. Lobell, Stefano Ermon
2018	J	`jnl`	Tile2Vec: Unsupervised representation learning for spatially distributed data. CoRR Neal Jean, Sherrie Wang, Anshul Samar, George Azzari, David B. Lobell, Stefano Ermon