Qunying Huang

Assistant Professor

University of Wisconsin-Madison

United States

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Dr. Qunying Huang is an Assistant Professor at the University of Wisconsin Madison, United States. His research areas encompass deep learning applications in remote sensing, machine learning for crop yield prediction, and spatiotemporal forecasting. Recent publications include advancements in self-supervised learning frameworks, wildfire mapping using satellite imagery, and the analysis of spatiotemporal interaction networks.

Articles (16)

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2025

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2020

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2020

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2020

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2020

Collaborators (5)

Wenwu Tang

University of North Carolina at Charlotte

UNITED STATES

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Yuqin Jiang

University of Hawaii at Manoa

UNITED STATES

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Zhou Zhang

Associate Professor

University of Wisconsin-Madison

UNITED STATES

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Song Gao

Associate Professor

University of Wisconsin-Madison

UNITED STATES

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Meiliu Wu

University of Glasgow

UNITED KINGDOM

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Qunying Huang

Research Interests

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Articles (16)

Advancing Self-Supervised Learning for Building Change Detection and Damage Assessment: Unified Denoising Autoencoder and Contrastive Learning Framework

Identifying Rich Clubs in Spatiotemporal Interaction Networks

Learning county from pixels: corn yield prediction with attention-weighted multiple instance learning

Deep learning for spatiotemporal forecasting in Earth system science: a review

BiAU-Net: Wildfire burnt area mapping using bi-temporal Sentinel-2 imagery and U-Net with attention mechanism

A Remote Sensing Spectral Index Guided Bitemporal Residual Attention Network for Wildfire Burn Severity Mapping

Improving the Transferability of Deep Learning Models for Crop Yield Prediction: A Partial Domain Adaptation Approach

Near Real-Time Flood Mapping with Weakly Supervised Machine Learning

Spatio-Temporal Transformer Recommender: Next Location Recommendation with Attention Mechanism by Mining the Spatio-Temporal Relationship between Visited Locations

Coupling Relationship Analysis of Gold Content Using Gaofen-5 (GF-5) Satellite Hyperspectral Remote Sensing Data: A Potential Method in Chahuazhai Gold Mining Area, Qiubei County, SW China

Disaster Image Classification by Fusing Multimodal Social Media Data

A privacy‐preserving framework for location recommendation using decentralized collaborative machine learning

Unfolding Spatial-Temporal Patterns of Taxi Trip based on an Improved Network Kernel Density Estimation

Introduction to Big Data Computing for Geospatial Applications

SOVAS: a scalable online visual analytic system for big climate data analysis

Spatial Cloud Computing

Collaborators (5)

Wenwu Tang

Yuqin Jiang

Zhou Zhang

Song Gao

Meiliu Wu

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