Hongjie He

Orcid: 0000-0003-3839-5821

Affiliations:
  • University of Waterloo, Waterloo, Ontario, Canada


According to our database1, Hongjie He authored at least 35 papers between 2021 and 2026.

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

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
Real-Scale Island Area and Coastline Estimation using Only its Place Name or Coordinates.
CoRR, May, 2026

Trustworthy Data-Driven Wildfire Risk Prediction and Understanding in Western Canada.
CoRR, January, 2026

BCWildfire: A Long-term Multi-factor Dataset and Deep Learning Benchmark for Boreal Wildfire Risk Prediction.
Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025
Instructor-Worker Large Language Model System for Policy Recommendation: a Case Study on Air Quality Analysis of the January 2025 Los Angeles Wildfires.
CoRR, March, 2025

Digital Twin Buildings: 3D Modeling, GIS Integration, and Visual Descriptions Using Gaussian Splatting, ChatGPT/Deepseek, and Google Maps Platform.
CoRR, February, 2025

Gaussian Building Mesh (GBM): Extract a Building's 3D Mesh with Google Earth and Gaussian Splatting.
CoRR, January, 2025

Enhanced 3-D Urban Scene Reconstruction and Point Cloud Densification Using Gaussian Splatting and Google Earth Imagery.
IEEE Trans. Geosci. Remote. Sens., 2025

MSCSCNet: Multiscale Convolution Selective Context Network With Boundary Supervision for Semantic Segmentation of Remote Sensing Images.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2025

Digital Buildings Analysis: 3-D Modeling, GIS Integration, and Visual Descriptions Using Gaussian Splatting, ChatGPT/Deepseek, and Google Maps Platform.
IEEE Geosci. Remote. Sens. Lett., 2025

Instructor-Worker large language model system for policy recommendation: A case study on air quality analysis of the January 2025 Los Angeles wildfires.
Int. J. Appl. Earth Obs. Geoinformation, 2025

Bridging the cloud gap: AHI/ATMS synergy through CNN feature fusion for all-weather SST retrieval.
Int. J. Appl. Earth Obs. Geoinformation, 2025

2024
HigherNet-DST: Higher-Resolution Network With Dynamic Scale Training for Rooftop Delineation.
IEEE Trans. Geosci. Remote. Sens., 2024

Advancements in Road Lane Mapping: Comparative Fine-Tuning Analysis of Deep Learning-based Semantic Segmentation Methods Using Aerial Imagery.
CoRR, 2024

Enhanced 3D Urban Scene Reconstruction and Point Cloud Densification using Gaussian Splatting and Google Earth Imagery.
CoRR, 2024

SLRCNN: Integrating sparse and low-rank with a CNN denoiser for hyperspectral and multispectral image fusion.
Int. J. Appl. Earth Obs. Geoinformation, 2024

UnderstAnding Bag of Tricks of Deep Learning-Based Semantic Segmentation in Pavement Crack Detection.
Proceedings of the IGARSS 2024, 2024

Detection of Small Objects from UAV Imagery via an Improved Swin Transformer.
Proceedings of the IGARSS 2024, 2024

Synchronizing Spatiotemporal Reflectance Fusion via Dual Bayesian Nonparametric Inference and Explicit Downsampling.
Proceedings of the IGARSS 2024, 2024

2023
Coarse-to-fine matching via cross fusion of satellite images.
Int. J. Appl. Earth Obs. Geoinformation, December, 2023

A comparative study of loss functions for road segmentation in remotely sensed road datasets.
Int. J. Appl. Earth Obs. Geoinformation, February, 2023

SAR-Optical Image Matching With Semantic Position Probability Distribution.
IEEE Trans. Geosci. Remote. Sens., 2023

Nighttime Light Missing Data Retrieval Using Modis Version 6 Satellite Data and Mask Dilated Partial Convolutional Neural Network.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

Enhancing Spatial Resolution of Building Datasets Using Transformer-Based Single-Image Super-Resolution.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

2022
NeRF: Neural Radiance Field in 3D Vision, A Comprehensive Review.
CoRR, 2022

Mask R-CNN based automated identification and extraction of oil well sites.
Int. J. Appl. Earth Obs. Geoinformation, 2022

Super-resolving and composing building dataset using a momentum spatial-channel attention residual feature aggregation network.
Int. J. Appl. Earth Obs. Geoinformation, 2022

Optimizing and Evaluating Swin Transformer for Aircraft Classification: Analysis and Generalizability of the MTARSI Dataset.
IEEE Access, 2022

Automated Detection of Oil/Gas Well Sites Detection from Multi-Source High Spatial Resolution Images.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2022

2021
Single Satellite Imagery Superresolution Based on Hybrid Nonlocal Similarity Constrained Convolution Sparse Coding.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2021

A comparative study of deep learning methods for building footprints detection using high spatial resolution aerial images.
CoRR, 2021

A Deep Learning Approach Based on Graphs to Detect Plantation Lines.
CoRR, 2021

Reconstructing GRACE-like TWS anomalies for the Canadian landmass using deep learning and land surface model.
Int. J. Appl. Earth Obs. Geoinformation, 2021

Fusion of Hyperspectral-Multispectral images joining Spatial-Spectral Dual-Dictionary and structured sparse Low-rank representation.
Int. J. Appl. Earth Obs. Geoinformation, 2021

The Impact of Data Volume on Performance of Depp Learning Based Building Rooftop Extraction Using Very High Spatial Resolution Aerial Images.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021

Monitoring Surface Deformation Over Oilfield Using MT-Insar and Production Well Data.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021


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