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<r><inproceedings key="conf/aaai/FanYBASXJ25" mdate="2025-11-15">
<author pid="345/2640">Yingda Fan</author>
<author orcid="0000-0003-4080-2377" pid="228/2538">Runlong Yu</author>
<author pid="402/3383">Janet R. Barclay</author>
<author pid="252/5338">Alison P. Appling</author>
<author pid="36/2423-4">Yiming Sun 0004</author>
<author pid="131/2110">Yiqun Xie</author>
<author pid="118/5304">Xiaowei Jia</author>
<title>Multi-Scale Graph Learning for Anti-Sparse Downscaling.</title>
<pages>27969-27977</pages>
<year>2025</year>
<booktitle>AAAI</booktitle>
<ee type="oa">https://doi.org/10.1609/aaai.v39i27.35014</ee>
<crossref>conf/aaai/2025</crossref>
<url>db/conf/aaai/aaai2025.html#FanYBASXJ25</url>
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<r><article publtype="informal" key="journals/corr/abs-2505-01948" mdate="2025-06-18">
<author pid="345/2640">Yingda Fan</author>
<author pid="228/2538">Runlong Yu</author>
<author pid="402/3383">Janet R. Barclay</author>
<author pid="252/5338">Alison P. Appling</author>
<author pid="36/2423-4">Yiming Sun 0004</author>
<author pid="131/2110">Yiqun Xie</author>
<author pid="118/5304">Xiaowei Jia</author>
<title>Multi-Scale Graph Learning for Anti-Sparse Downscaling.</title>
<year>2025</year>
<month>May</month>
<volume>abs/2505.01948</volume>
<journal>CoRR</journal>
<ee type="oa">https://doi.org/10.48550/arXiv.2505.01948</ee>
<url>db/journals/corr/corr2505.html#abs-2505-01948</url>
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<r><article key="journals/kais/ChenKX0ZSAORJ23" mdate="2023-07-07">
<author pid="227/5683">Shengyu Chen</author>
<author pid="157/7581">Nasrin Kalanat</author>
<author pid="131/2110">Yiqun Xie</author>
<author pid="23/3439-1">Sheng Li 0001</author>
<author pid="229/4324">Jacob A. Zwart</author>
<author pid="201/8792">Jeffrey M. Sadler</author>
<author pid="252/5338">Alison P. Appling</author>
<author pid="275/3606">Samantha K. Oliver</author>
<author pid="156/4347">Jordan S. Read</author>
<author orcid="0000-0001-8544-5233" pid="118/5304">Xiaowei Jia</author>
<title>Physics-guided machine learning from simulated data with different physical parameters.</title>
<pages>3223-3250</pages>
<year>2023</year>
<volume>65</volume>
<journal>Knowl. Inf. Syst.</journal>
<number>8</number>
<ee>https://doi.org/10.1007/s10115-023-01864-z</ee>
<url>db/journals/kais/kais65.html#ChenKX0ZSAORJ23</url>
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<author orcid="0000-0003-1248-5247" pid="416/9075">Ellie White</author>
<title>Source code: Evaluating deep learning architecture and data assimilation for improving water temperature forecasts at unmonitored locations.</title>
<year>2023</year>
<month>February</month>
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<r><article publtype="informal" key="journals/corr/abs-2301-04027" mdate="2026-02-22">
<author orcid="0000-0002-0685-1901" pid="59/9752">Chaopeng Shen</author>
<author pid="252/5338">Alison P. Appling</author>
<author orcid="0000-0002-0845-8345" pid="201/8570">Pierre Gentine</author>
<author pid="337/9881">Toshiyuki Bandai</author>
<author pid="96/1509">Hoshin V. Gupta</author>
<author pid="337/9684">Alexandre Tartakovsky</author>
<author pid="52/11265">Marco Baity-Jesi</author>
<author pid="153/8934">Fabrizio Fenicia</author>
<author pid="84/114">Daniel Kifer</author>
<author pid="53/2189">Li Li</author>
<author pid="95/6332">Xiaofeng Liu</author>
<author pid="92/5008">Wei Ren</author>
<author pid="39/6163">Yi Zheng</author>
<author pid="337/9829">Ciaran J. Harman</author>
<author pid="366/7142">Martyn P. Clark</author>
<author pid="33/9751">Matthew W. Farthing</author>
<author pid="23/10216">Dapeng Feng</author>
<author pid="95/448">Praveen Kumar</author>
<author pid="337/9647">Doaa Aboelyazeed</author>
<author pid="298/1626">Farshid Rahmani</author>
<author pid="238/1092">Hylke E. Beck</author>
<author pid="338/0121">Tadd Bindas</author>
<author pid="175/4836">Dipankar Dwivedi</author>
<author pid="148/2528">Kuai Fang</author>
<author pid="273/0251">Marvin H&#246;ge</author>
<author pid="223/6080">Chris Rackauckas</author>
<author pid="286/3271">Tirthankar Roy</author>
<author pid="88/8427">Chonggang Xu</author>
<author orcid="0000-0003-0075-7911" pid="271/4501">Kathryn Lawson</author>
<title>Differentiable modeling to unify machine learning and physical models and advance Geosciences.</title>
<year>2023</year>
<volume>abs/2301.04027</volume>
<journal>CoRR</journal>
<ee type="oa">https://doi.org/10.48550/arXiv.2301.04027</ee>
<url>db/journals/corr/corr2301.html#abs-2301-04027</url>
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<r><inproceedings key="conf/sdm/JiaCXYAO022" mdate="2022-10-05">
<author pid="118/5304">Xiaowei Jia</author>
<author pid="227/5683">Shengyu Chen</author>
<author pid="131/2110">Yiqun Xie</author>
<author pid="17/8386">Haoyu Yang</author>
<author pid="252/5338">Alison P. Appling</author>
<author pid="275/3606">Samantha Oliver</author>
<author pid="50/4629-1">Zhe Jiang 0001</author>
<title>Modeling Reservoir Release Using Pseudo-Prospective Learning and Physical Simulations to Predict Water Temperature.</title>
<pages>91-99</pages>
<year>2022</year>
<booktitle>SDM</booktitle>
<ee>https://doi.org/10.1137/1.9781611977172.11</ee>
<crossref>conf/sdm/2022</crossref>
<url>db/conf/sdm/sdm2022.html#JiaCXYAO022</url>
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<r><article publtype="informal" key="journals/corr/abs-2202-05714" mdate="2022-07-12">
<author pid="118/5304">Xiaowei Jia</author>
<author pid="227/5683">Shengyu Chen</author>
<author pid="131/2110">Yiqun Xie</author>
<author pid="17/8386">Haoyu Yang</author>
<author pid="252/5338">Alison P. Appling</author>
<author pid="275/3606">Samantha Oliver</author>
<author pid="50/4629-1">Zhe Jiang 0001</author>
<title>Modeling Reservoir Release Using Pseudo-Prospective Learning and Physical Simulations to Predict Water Temperature.</title>
<year>2022</year>
<volume>abs/2202.05714</volume>
<journal>CoRR</journal>
<ee type="oa">https://arxiv.org/abs/2202.05714</ee>
<url>db/journals/corr/corr2202.html#abs-2202-05714</url>
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<r><inproceedings key="conf/icdm/BaoJZSAOJ21" mdate="2023-03-23">
<author pid="228/5707">Tianshu Bao</author>
<author pid="118/5304">Xiaowei Jia</author>
<author pid="229/4324">Jacob Zwart</author>
<author orcid="0000-0001-8776-4844" pid="201/8792">Jeffrey M. Sadler</author>
<author pid="252/5338">Alison P. Appling</author>
<author pid="275/3606">Samantha Oliver</author>
<author orcid="0000-0001-8021-9923" pid="96/11505">Taylor T. Johnson</author>
<title>Partial Differential Equation Driven Dynamic Graph Networks for Predicting Stream Water Temperature.</title>
<pages>11-20</pages>
<year>2021</year>
<booktitle>ICDM</booktitle>
<ee>https://doi.org/10.1109/ICDM51629.2021.00011</ee>
<ee>https://www.wikidata.org/entity/Q110880217</ee>
<crossref>conf/icdm/2021</crossref>
<url>db/conf/icdm/icdm2021.html#BaoJZSAOJ21</url>
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<r><inproceedings key="conf/icdm/JiaX0CZSAOR21" mdate="2023-03-23">
<author pid="118/5304">Xiaowei Jia</author>
<author pid="131/2110">Yiqun Xie</author>
<author orcid="0000-0003-1205-8632" pid="23/3439-1">Sheng Li 0001</author>
<author pid="227/5683">Shengyu Chen</author>
<author pid="229/4324">Jacob Zwart</author>
<author orcid="0000-0001-8776-4844" pid="201/8792">Jeffrey M. Sadler</author>
<author pid="252/5338">Alison P. Appling</author>
<author pid="275/3606">Samantha Oliver</author>
<author pid="156/4347">Jordan S. Read</author>
<title>Physics-Guided Machine Learning from Simulation Data: An Application in Modeling Lake and River Systems.</title>
<pages>270-279</pages>
<year>2021</year>
<booktitle>ICDM</booktitle>
<ee>https://doi.org/10.1109/ICDM51629.2021.00037</ee>
<ee>https://www.wikidata.org/entity/Q110880239</ee>
<crossref>conf/icdm/2021</crossref>
<url>db/conf/icdm/icdm2021.html#JiaX0CZSAOR21</url>
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<r><inproceedings key="conf/icdm/ChenAOCRSZJ21" mdate="2023-03-23">
<author pid="227/5683">Shengyu Chen</author>
<author pid="252/5338">Alison P. Appling</author>
<author pid="275/3606">Samantha Oliver</author>
<author pid="304/2657">Hayley Corson-Dosch</author>
<author pid="156/4347">Jordan S. Read</author>
<author orcid="0000-0001-8776-4844" pid="201/8792">Jeffrey M. Sadler</author>
<author pid="229/4324">Jacob Zwart</author>
<author pid="118/5304">Xiaowei Jia</author>
<title>Heterogeneous Stream-reservoir Graph Networks with Data Assimilation.</title>
<pages>1024-1029</pages>
<year>2021</year>
<booktitle>ICDM</booktitle>
<ee>https://doi.org/10.1109/ICDM51629.2021.00117</ee>
<ee>https://www.wikidata.org/entity/Q110880254</ee>
<crossref>conf/icdm/2021</crossref>
<url>db/conf/icdm/icdm2021.html#ChenAOCRSZJ21</url>
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<r><inproceedings key="conf/sdm/JiaZSAOMWXSRK21" mdate="2025-03-03">
<author pid="118/5304">Xiaowei Jia</author>
<author pid="229/4324">Jacob Zwart</author>
<author pid="201/8792">Jeffrey M. Sadler</author>
<author pid="252/5338">Alison P. Appling</author>
<author pid="275/3606">Samantha Oliver</author>
<author pid="275/3766">Steven Markstrom</author>
<author pid="228/6918">Jared Willard</author>
<author orcid="0000-0003-1213-0286" pid="260/7168">Shaoming Xu</author>
<author orcid="0000-0002-7309-6395" pid="04/1613">Michael S. Steinbach</author>
<author pid="156/4347">Jordan S. Read</author>
<author pid="k/VipinKumar-1">Vipin Kumar 0001</author>
<title>Physics-Guided Recurrent Graph Model for Predicting Flow and Temperature in River Networks.</title>
<pages>612-620</pages>
<year>2021</year>
<booktitle>SDM</booktitle>
<ee>https://doi.org/10.1137/1.9781611976700.69</ee>
<crossref>conf/sdm/2021</crossref>
<url>db/conf/sdm/sdm2021.html#JiaZSAOMWXSRK21</url>
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<r><inproceedings key="conf/sdm/JiaLZSAOR21" mdate="2023-03-23">
<author pid="118/5304">Xiaowei Jia</author>
<author pid="208/9993">Beiyu Lin</author>
<author pid="229/4324">Jacob Zwart</author>
<author pid="201/8792">Jeffrey M. Sadler</author>
<author pid="252/5338">Alison P. Appling</author>
<author pid="275/3606">Samantha Oliver</author>
<author pid="156/4347">Jordan S. Read</author>
<title>Graph-based Reinforcement Learning for Active Learning in Real Time: An Application in Modeling River Networks.</title>
<pages>621-629</pages>
<year>2021</year>
<booktitle>SDM</booktitle>
<ee>https://doi.org/10.1137/1.9781611976700.70</ee>
<crossref>conf/sdm/2021</crossref>
<url>db/conf/sdm/sdm2021.html#JiaLZSAOR21</url>
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<title>Source code: Near-term forecasts of stream temperature using process-guided deep learning and data assimilation.</title>
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<r><article publtype="informal" key="journals/corr/abs-2110-04959" mdate="2023-03-23">
<author pid="227/5683">Shengyu Chen</author>
<author pid="252/5338">Alison P. Appling</author>
<author pid="275/3606">Samantha Oliver</author>
<author pid="304/2657">Hayley Corson-Dosch</author>
<author pid="156/4347">Jordan S. Read</author>
<author pid="201/8792">Jeffrey M. Sadler</author>
<author pid="229/4324">Jacob Zwart</author>
<author pid="118/5304">Xiaowei Jia</author>
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<year>2021</year>
<volume>abs/2110.04959</volume>
<journal>CoRR</journal>
<ee type="oa">https://arxiv.org/abs/2110.04959</ee>
<url>db/journals/corr/corr2110.html#abs-2110-04959</url>
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<r><inproceedings key="conf/sdm/DawTCRAK20" mdate="2021-10-14">
<author pid="252/5645">Arka Daw</author>
<author orcid="0000-0003-1282-7825" pid="252/5215">R. Quinn Thomas</author>
<author pid="156/5150">Cayelan C. Carey</author>
<author pid="156/4347">Jordan S. Read</author>
<author pid="252/5338">Alison P. Appling</author>
<author pid="09/9720">Anuj Karpatne</author>
<title>Physics-Guided Architecture (PGA) of Neural Networks for Quantifying Uncertainty in Lake Temperature Modeling.</title>
<pages>532-540</pages>
<year>2020</year>
<booktitle>SDM</booktitle>
<ee>https://doi.org/10.1137/1.9781611976236.60</ee>
<crossref>conf/sdm/2020</crossref>
<url>db/conf/sdm/sdm2020.html#DawTCRAK20</url>
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<r><article publtype="informal" key="journals/corr/abs-2009-12575" mdate="2023-03-23">
<author pid="118/5304">Xiaowei Jia</author>
<author pid="229/4324">Jacob Zwart</author>
<author pid="201/8792">Jeffrey M. Sadler</author>
<author pid="252/5338">Alison P. Appling</author>
<author pid="275/3606">Samantha Oliver</author>
<author pid="275/3766">Steven Markstrom</author>
<author pid="228/6918">Jared Willard</author>
<author pid="260/7168">Shaoming Xu</author>
<author pid="04/1613">Michael S. Steinbach</author>
<author pid="156/4347">Jordan S. Read</author>
<author pid="k/VipinKumar-1">Vipin Kumar 0001</author>
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<year>2020</year>
<volume>abs/2009.12575</volume>
<journal>CoRR</journal>
<ee type="oa">https://arxiv.org/abs/2009.12575</ee>
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<author pid="118/5304">Xiaowei Jia</author>
<author pid="208/9993">Beiyu Lin</author>
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<author pid="201/8792">Jeffrey M. Sadler</author>
<author pid="252/5338">Alison P. Appling</author>
<author pid="275/3606">Samantha Oliver</author>
<author pid="156/4347">Jordan S. Read</author>
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<year>2020</year>
<volume>abs/2010.14000</volume>
<journal>CoRR</journal>
<ee type="oa">https://arxiv.org/abs/2010.14000</ee>
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<year>2020</year>
<volume>abs/2011.05369</volume>
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<ee type="oa">https://arxiv.org/abs/2011.05369</ee>
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<author pid="252/5645">Arka Daw</author>
<author pid="252/5215">R. Quinn Thomas</author>
<author pid="156/5150">Cayelan C. Carey</author>
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<author pid="252/5338">Alison P. Appling</author>
<author pid="09/9720">Anuj Karpatne</author>
<title>Physics-Guided Architecture (PGA) of Neural Networks for Quantifying Uncertainty in Lake Temperature Modeling.</title>
<year>2019</year>
<volume>abs/1911.02682</volume>
<journal>CoRR</journal>
<ee type="oa">http://arxiv.org/abs/1911.02682</ee>
<url>db/journals/corr/corr1911.html#abs-1911-02682</url>
</article>
</r>
<r><article key="journals/rjour/WinslowCAR16" mdate="2020-03-10">
<author pid="156/4141">Luke A. Winslow</author>
<author pid="46/7454">Scott Chamberlain</author>
<author pid="252/5338">Alison P. Appling</author>
<author pid="156/4347">Jordan S. Read</author>
<title>sbtools: A Package Connecting R to Cloud-based Data for Collaborative Online Research.</title>
<pages>387</pages>
<year>2016</year>
<volume>8</volume>
<journal>R J.</journal>
<number>1</number>
<ee type="oa">https://doi.org/10.32614/rj-2016-029</ee>
<url>db/journals/rjour/rjour8.html#WinslowCAR16</url>
</article>
</r>
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