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<p class="MsoNormal"><b><u><span style="font-size:11.0pt;font-family:"Arial",sans-serif;mso-ligatures:standardcontextual">Wednesday, October 15, 2025</span></u></b><span style="mso-ligatures:standardcontextual"><o:p></o:p></span></p>
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<p class="MsoNormal"><b><span style="font-size:10.0pt;font-family:"Arial",sans-serif;mso-ligatures:standardcontextual">12:00 PM - 3:15 PM Proposal Defense - Qiming Guo (Tentative) UC Copano Room 216</span></b><span style="mso-ligatures:standardcontextual"><o:p></o:p></span></p>
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<p class="MsoNormal"><b><span style="color:black">Student</span></b><span style="color:black">: Qiming Guo <o:p></o:p></span></p>
<p class="MsoNormal"><span style="color:black"><o:p> </o:p></span></p>
<p class="MsoNormal"><b><span style="color:black">Advisor</span></b><span style="color:black">: Dr. Wenlu Wang<o:p></o:p></span></p>
<p class="MsoNormal"><span style="color:black"><o:p> </o:p></span></p>
<p class="MsoNormal"><b><span style="color:black">Title</span></b><span style="color:black">: GRAPH LEARNING FOR REAL-WORLD APPLICATIONS<o:p></o:p></span></p>
<p class="MsoNormal"><span style="color:black"><o:p> </o:p></span></p>
<p class="MsoNormal"><b><span style="color:black">Abstract</span></b><span style="color:black">:<o:p></o:p></span></p>
<p class="MsoNormal"><span style="color:black"><br>
In recent years, AI has advanced rapidly and gradually produced positive impacts in research and applications across various disciplines. Graph learning is one of the most promising directions in AI research and application. In this research proposal, I explore
how graph learning can be used to build an automated AI system, with the goal of benefiting both human interests and the environment. To achieve this goal, I propose three staged objectives. The first objective is to build a real-world graph-based AI monitoring
system as the starting point of the research. The second objective is to design specialized graph neural networks to improve the system's accuracy. The third objective is to develop scalable and secure graph learning methods to enhance the system's scalability.<o:p></o:p></span></p>
<p class="MsoNormal"><span style="color:black"><o:p> </o:p></span></p>
<p class="MsoNormal"><span style="color:black">Currently, I have completed part of the work. For the first objective, I have modeled an urban water system as a spatiotemporal graph, demonstrated data usability and predictability, and constructed graph-structured
data representations. For the second objective, I developed HydroNet, a domain-specific ST-GNN that incorporates water-related features, achieving state-of-the-art results on real datasets. For the third objective, I explored partition-and-merge strategies,
enabling local retraining of subgraphs instead of the entire graph. Initial results show reduced costs but some accuracy<span class="apple-converted-space"> </span>loss.In<span class="apple-converted-space"> </span>this research proposal, I also present plans
for further advancing each of these objectives.<br>
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<b>Data and time</b>: Oct 15. 2025, 12:00 PM - 3:00 PM<o:p></o:p></span></p>
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<p class="MsoNormal"><b><span style="color:black">Location</span></b><span style="color:black">: University Center (UC) – Copano Room 216<o:p></o:p></span></p>
<p class="MsoNormal"><span style="color:black"><o:p> </o:p></span></p>
<p class="MsoNormal"><b><span style="color:black">Zoom Link</span></b><span style="color:black">:<span class="apple-converted-space"> </span><a href="https://nam12.safelinks.protection.outlook.com/?url=https%3A%2F%2Ftamucc.zoom.us%2Fj%2F4010090212%3Fomn%3D98000286880&data=05%7C02%7Ccosc-grad-students-list%40listserv.tamucc.edu%7C0f50e0d394f44e8ac6aa08de0693827c%7C34cbfaf167a64781a9ca514eb2550b66%7C0%7C0%7C638955427794605516%7CUnknown%7CTWFpbGZsb3d8eyJFbXB0eU1hcGkiOnRydWUsIlYiOiIwLjAuMDAwMCIsIlAiOiJXaW4zMiIsIkFOIjoiTWFpbCIsIldUIjoyfQ%3D%3D%7C0%7C%7C%7C&sdata=OpIN98IzBTrjrlQXZvXZJ%2F%2Fnxwyqq%2BlSIHv%2FCZc%2F80I%3D&reserved=0" originalsrc="https://tamucc.zoom.us/j/4010090212?omn=98000286880" title="Original URL:
https://tamucc.zoom.us/j/4010090212?omn=98000286880
Click to follow link."><span style="color:#906DDD">https://tamucc.zoom.us/j/4010090212?omn=98000286880</span></a>
Meeting ID: 401 009 0212<o:p></o:p></span></p>
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