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Update CV, and publications
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‎_bibliography/papers.bib‎

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@string{igarss = {IEEE International Geoscience and Remote Sensing Symposium (IGARSS)}}
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@string{scidata = {Scientific Data}}
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@string{envres = {Environmental Research}}
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@string{ijgis = {International Journal of Geographical Information Science}}
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@string{remotesens = {Remote Sensing}}
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@string{gisrs = {GIScience and Remote Sensing}}
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@string{aps = {IEEE International Symposium on Geoscience and Remote Sensing (IGARSS)}}
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@inproceedings{wang2023igarss,
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author = {Wang, Zhongying and de Lima, Rafael Pires and Crooks, James L. and Regan, Elizabeth A. and Karimzadeh, Morteza},
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title = {Increasing the Spatial Coverage of Atmospheric Aerosol Depth Measurements Using Random Forest and Mean Filters},
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booktitle = igarss,
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year = {2023},
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pages = {3928--3931},
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doi = {10.1109/IGARSS52108.2023.10282685},
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selected = {true}
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}
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@INPROCEEDINGS{10282685,
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author={Wang, Zhongying and de Lima, Rafael Pires and Crooks, James L. and Regan, Elizabeth Anne and Karimzadeh, Morteza},
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booktitle={IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium},
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title={Increasing the Spatial Coverage of Atmospheric Aerosol Depth Measurements using Random Forest and Mean Filters},
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year={2023},
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volume={},
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number={},
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pages={3928-3931},
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doi={10.1109/IGARSS52108.2023.10282685}}
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@article{cramer2022forecast,
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author = {Cramer, Estee Y. and Huang, Yuxin and Wang, Yijin and Ray, Evan L. and Cornell, Margaux and Bauer, Christopher and Shah, Arindam and others},
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title = {The United States {COVID-19} Forecast Hub Dataset},
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journal = scidata,
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year = {2022},
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volume = {9},
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pages = {462},
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doi = {10.1038/s41597-022-01517-w},
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selected = {true}
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}
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@string{aps = {Scientific Data}}
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@article{yu2022autism,
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author = {Yu, Xin and Rahman, Md Mostafijur and Wang, Zhongying and Carter, Sarah A. and Schwartz, Joel and Chen, Zhen and Eckel, Sandrah P. and Hackman, Daniel A. and Chen, Jennifer C. and Xiang, Anny H. and McConnell, Rob},
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title = {Evidence of Susceptibility to Autism Risks Associated with Early Life Ambient Air Pollution: A Systematic Review},
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journal = envres,
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year = {2022},
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volume = {208},
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pages = {112590},
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doi = {10.1016/j.envres.2021.112590},
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selected = {true}
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}
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@article{cramer2022united,
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title={The united states covid-19 forecast hub dataset},
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author={Cramer, Estee Y and Huang, Yuxin and Wang, Yijin and Ray, Evan L and Cornell, Matthew and Bracher, Johannes and Brennen, Andrea and Rivadeneira, Alvaro J Castro and Gerding, Aaron and House, Katie and others},
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journal={Scientific data},
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volume={9},
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number={1},
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pages={462},
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year={2022},
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publisher={Nature Publishing Group UK London}
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@inproceedings{wang2020sensitivity,
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author = {Wang, Zhongying and Aydin, Orhun},
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title = {Sensitivity Analysis for {COVID-19} Epidemiological Models Within a Geographic Framework},
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booktitle = {Proceedings of the 1st {ACM SIGSPATIAL} International Workshop on Modeling and Understanding the Spread of {COVID-19}},
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year = {2020},
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pages = {11--14},
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doi = {10.1145/3423459.3430755},
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selected = {true}
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}
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@string{aps = {Environmental Research}}
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@article{wang2025integrating,
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author = {Wang, Zhongying and Ngo, Thoai D. and Zoraghein, Hamidreza and Lucas, Benjamin and Karimzadeh, Morteza},
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title = {Integrating Spatiotemporal Features in {LSTM} for Spatially Informed {COVID-19} Hospitalization Forecasting},
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journal = ijgis,
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year = {2025},
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doi = {10.1080/13658816.2025.2527266},
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note = {Advance online publication},
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selected = {true}
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}
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@article{yu2022evidence,
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title={Evidence of susceptibility to autism risks associated with early life ambient air pollution: a systematic review},
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author={Yu, Xin and Rahman, Md Mostafijur and Wang, Zhongying and Carter, Sarah A and Schwartz, Joel and Chen, Zhanghua and Eckel, Sandrah P and Hackman, Daniel and Chen, Jiu-Chiuan and Xiang, Anny H and others},
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journal={Environmental Research},
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volume={208},
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pages={112590},
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year={2022},
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publisher={Elsevier},
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selected={true}
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@article{wang2025pm25,
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author = {Wang, Zhongying and de Lima, Rafael Pires and Crooks, James L. and Regan, Elizabeth A. and Karimzadeh, Morteza},
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title = {High-Resolution Estimation of Daily {PM2.5} Levels in the Contiguous {US} Using Bi-{LSTM} with Attention},
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journal = remotesens,
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year = {2025},
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volume = {17},
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number = {1},
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pages = {126},
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doi = {10.3390/rs17010126},
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selected = {true}
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}
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@string{aps = {ACM SIGSPATIAL}}
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@article{karimzadeh2025performance,
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author = {Karimzadeh, Morteza and Wang, Zhongying and Crooks, James L.},
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title = {Performance and Generalizability Impacts of Incorporating Geolocation into Deep Learning for Dynamic {PM2.5} Estimation},
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journal = gisrs,
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year = {2025},
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note = {In press; also available as arXiv:2505.18461},
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doi = {10.48550/arXiv.2505.18461},
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selected = {true}
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}
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@inproceedings{wang2020sensitivity,
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title={Sensitivity analysis for covid-19 epidemiological models within a geographic framework},
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author={Wang, Zhongying and Aydin, Orhun},
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booktitle={Proceedings of the 1st ACM SIGSPATIAL International Workshop on Modeling and Understanding the Spread of COVID-19},
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pages={11--14},
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year={2020},
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selected={true}
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@article{crooks2025respiratory,
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author = {Crooks, James L. and Wang, Zhongying and Karimzadeh, Morteza and Bhatt, Surya P. and Hersh, Craig P. and DeMeo, Dawn L. and Baraghoshi, David and Ryu, Min Hyung and Regan, Elizabeth A.},
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title = {Respiratory Exacerbations Increase with Chronic {PM2.5} Exposure in Current and Former Smokers},
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journal = {medRxiv},
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year = {2025},
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doi = {10.1101/2025.05.27.25328449},
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note = {medRxiv preprint},
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selected = {true}
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}

‎_pages/about.md‎

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Hi there! 😃
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My name is Zhongying and I’m a second-year PhD student in the Department of Geography at CU Boulder, supervised by Prof. [Morteza Karimzadeh][mk] at the GeoHAI Lab. My work lies at the intersection of AI and Geography (GeoAI). My current research focus on (1) Deep learning-based infectious disease forecasting, and (2) Air pollution Downscaling.
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My name is Zhongying and I am a fifth-year PhD candidate in Geography at the University of Colorado Boulder, supervised by Prof. [Morteza Karimzadeh][mk] at the GeoHAI Lab. My work lies at the intersection of AI and Geography (GeoAI). My research focuses on **GeoAI methods for environmental health and public health applications**. In particular, I work on high-resolution air pollution estimation using satellite, ground and simulation data; spatiotemporal deep learning and data fusion for geospatial prediction; and geospatial foundation models and pretrained location encoders.
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[mk]: https://www.colorado.edu/geography/morteza-karimzadeh

‎_pages/cv.md‎

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title: cv
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nav: true
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cv_pdf: /cv.pdf
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# Use the uploaded CV PDF as the download target. The cv.html layout prepends
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# `/assets/pdf/` automatically, so just provide the filename here.
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cv_pdf: ZhongyingCV.pdf
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---
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<!-- The CV page does not need additional content because the `cv` layout
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handles rendering of the PDF link. If you would like to add a short
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introduction or notes about your CV, you can add them below this comment. -->

‎_pages/publications.md‎

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permalink: /publications/
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title: publications
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description: publications by categories in reversed chronological order. generated by jekyll-scholar.
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years: [2023, 2022, 2021, 2020]
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# Include the years of publications that should be displayed on this page. The order
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# here controls the ordering in the rendered list. Add new years as you publish
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# new work.
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years: [2025, 2023, 2022, 2020]
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nav: true
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nav_order: 1
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---
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<!-- _pages/publications.md -->
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<div class="publications">
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{%- for y in page.years %}
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<h2 class="year">{{y}}</h2>
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{% bibliography -f papers -q @*[year={{y}}]* %}
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<h2 class="year">{{ y }}</h2>
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{% bibliography -f papers -q @*[year={{ y }}]* %}
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{% endfor %}
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</div>

‎assets/pdf/ZhongyingCV.pdf‎

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