Hsiuhan Lexie Yang

Orcid: 0000-0003-2252-6778

According to our database1, Hsiuhan Lexie Yang authored at least 45 papers between 2007 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Boundary-Aware Adversarial Learning Domain Adaption and Active Learning for Cross-Sensor Building Extraction.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024

A Science Gateway for the Repeatable Analysis of Machine Learning Predicted Gravity Anomalies.
IEEE Geosci. Remote. Sens. Lett., 2024

Efficient Extraction Of Building Elevation Attributes For Flood Risk Management Using Airborne LiDAR Data.
Proceedings of the IGARSS 2024, 2024

OReole-FM: successes and challenges toward billion-parameter foundation models for high-resolution satellite imagery.
Proceedings of the 32nd ACM International Conference on Advances in Geographic Information Systems, 2024

Multivariate Testing of Sampling Techniques to Address Class Imbalance in Building Use Type Classification.
Proceedings of the 7th ACM SIGSPATIAL International Workshop on AI for Geographic Knowledge Discovery, 2024

2023
Self-Filtered Learning for Semantic Segmentation of Buildings in Remote Sensing Imagery With Noisy Labels.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2023

Towards Geospatial Knowledge Graph Infused Neuro-Symbolic AI for Remote Sensing Scene Understanding.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

Scaling Automatic Vector Data Alignment to Satellite Imagery.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

An Agenda for Multimodal Foundation Models for Earth Observation.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

2022
Report of the 5th ACM SIGSPATIAL International Workshop on AI for Geographic Knowledge Discovery (GeoAI 2022).
ACM SIGSPATIAL Special, November, 2022

Adversarial Learning Based Discriminative Domain Adaptation for Geospatial Image Analysis.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2022

2021
GeoAI at ACM SIGSPATIAL: The New Frontier of Geospatial Artificial Intelligence Research.
ACM SIGSPATIAL Special, November, 2021

An adaptive adversarial domain adaptation approach for corn yield prediction.
Comput. Electron. Agric., 2021

Few-shot Learning for Post-disaster Structure Damage Assessment.
Proceedings of the GeoAI@SIGSPATIAL 2021: Proceedings of the 4th ACM SIGSPATIAL International Workshop on AI for Geographic Knowledge Discovery, 2021

2020
Apache Spark Accelerated Deep Learning Inference for Large Scale Satellite Image Analytics.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2020

Entropy and Boundary Based Adversarial Learning for Large Scale Unsupervised Domain Adaptation.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2020

A Fully Automatic Method for Rapidly Mapping Impacted Area by Natural Disaster.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2020

Rapid Structure Detection in Support of Disaster Response: A Case Study of the 2018 Kilauea Volcano Eruption.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2020

2019
Performance analysis and optimization for scalable deployment of deep learning models for country-scale settlement mapping on Titan supercomputer.
Concurr. Comput. Pract. Exp., 2019

Large Scale Unsupervised Domain Adaptation of Segmentation Networks with Adversarial Learning.
Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019

Towards Misregistration-Tolerant Change Detection using Deep Learning Techniques with Object-Based Image Analysis.
Proceedings of the 27th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, 2019

2018
Building Extraction at Scale Using Convolutional Neural Network: Mapping of the United States.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2018

Domain-Adapted Convolutional Networks for Satellite Image Classification: A Large-Scale Interactive Learning Workflow.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2018

How Good is Good Enough?: Quantifying the Effects of Training Set Quality.
Proceedings of the 2nd ACM SIGSPATIAL International Workshop on AI for Geographic Knowledge Discovery, 2018

2017
Improving Orthorectification of UAV-Based Push-Broom Scanner Imagery Using Derived Orthophotos From Frame Cameras.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2017

Hashed Binary Search Sampling for Convolutional Network Training with Large Overhead Image Patches.
CoRR, 2017

Exploiting Convolutional Representations for Multiscale Human Settlement Detection.
CoRR, 2017

Toward country scale building detection with convolutional neural network using aerial images.
Proceedings of the 2017 IEEE International Geoscience and Remote Sensing Symposium, 2017

Hashed binary search sampling for convolutional network training with large overhead image patches.
Proceedings of the 2017 IEEE International Geoscience and Remote Sensing Symposium, 2017

Exploiting convolutional representations for multiscale human settlement detection: Preliminary results.
Proceedings of the 2017 IEEE International Geoscience and Remote Sensing Symposium, 2017

2016
Spectral and Spatial Proximity-Based Manifold Alignment for Multitemporal Hyperspectral Image Classification.
IEEE Trans. Geosci. Remote. Sens., 2016

Active-Metric Learning for Classification of Remotely Sensed Hyperspectral Images.
IEEE Trans. Geosci. Remote. Sens., 2016

Domain Adaptation With Preservation of Manifold Geometry for Hyperspectral Image Classification.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2016

Multimetric Active Learning for Classification of Remote Sensing Data.
IEEE Geosci. Remote. Sens. Lett., 2016

Large-scale solar panel mapping from aerial images using deep convolutional networks.
Proceedings of the 2016 IEEE International Conference on Big Data (IEEE BigData 2016), 2016

2015
Ensemble Multiple Kernel Active Learning For Classification of Multisource Remote Sensing Data.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2015

2014
Spatial context driven manifold learning for hyperspectral image classification.
Proceedings of the 6th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, 2014

Combining active and metric learning for hyperspectral image classification.
Proceedings of the 6th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, 2014

2013
Active Learning: Any Value for Classification of Remotely Sensed Data?
Proc. IEEE, 2013

Multiple kernel active learning for robust geo-spatial image analysis.
Proceedings of the 2013 IEEE International Geoscience and Remote Sensing Symposium, 2013

Learning a joint manifold with global-local preservation for multitemporal hyperspectral image classification.
Proceedings of the 2013 IEEE International Geoscience and Remote Sensing Symposium, 2013

2012
Exploiting spectral-spatial proximity for classification of hyperspectral data on manifolds.
Proceedings of the 2012 IEEE International Geoscience and Remote Sensing Symposium, 2012

2011
Manifold alignment for classification of multitemporal hyperspectral data.
Proceedings of the 3rd Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, 2011

Manifold alignment for multitemporal hyperspectral image classification.
Proceedings of the 2011 IEEE International Geoscience and Remote Sensing Symposium, 2011

2007
Hyperspectral image classification using wavelet networks.
Proceedings of the IEEE International Geoscience & Remote Sensing Symposium, 2007


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