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<!DOCTYPE html PUBLIC "-//W3C//DTD HTML 4.0 Transitional//EN">
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<td style="white-space: nowrap; height: 169px;
vertical-align: top;"> <font size="5">Yinghui Wu</font><br>
<br>
Theodore L. and Dana J. Schroeder <br>
Associate Professor<br>
<a
href="https://engineering.case.edu/computer-and-data-sciences">Department
of Computer <br>
& Data Sciences</a><br>
<br>
<a href="https://engineering.case.edu/">Case School of
Engineering</a><br>
<a href="https://case.edu/">Case Western Reserve
University</a><br>
</td>
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vertical-align: top;"><br>
<br>
Olin 515<br>
2101 Martin Luther King Jr Dr,<br>
Cleveland, OH 44106<br>
<br>
Office: 216.368.8829<br>
Email: yxw1650_at_case_dot_edu<br>
Homepage: <a href="https://yinghwu.github.io/">https://yinghwu.github.io/<br>
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<p align="center"><big><a href="index.html">Home</a> | <a
href="yinghui-teaching.html">Teaching</a> | <a
href="yinghui-research.html">Research | </a><a
href="yinghui-service.html">Services</a> | <a
href="yinghui-students.html">Students</a> | <a
href="yinghui-publication.html">Publications</a> | <a
href="yinghui-talks.html">Talks</a> | <a
href="yinghui-bib.html">Bio</a> </big></p>
<hr><span style="font-weight: bold;"><br>
</span> Selected Seminar Talks<br>
<br>
View by [<a href="yinghui-talks-year.html">Year</a>] [<a
href="yinghui-talks.html">Topic</a>] <br>
<span style="font-weight: bold;"><span style="font-weight: bold;"><span
style="font-weight: bold;"></span></span></span><br>
<span style="font-weight: bold;"><span style="font-weight: bold;"><span
style="font-weight: bold;"><span style="font-weight: bold;"><span
style="font-weight: bold;"><span style="font-weight:
bold;"><span style="font-weight: bold;"><span
style="font-weight: bold;"><span
style="font-weight: bold;"><span
style="font-weight: bold;"><span
style="font-weight: bold;"><span
style="font-weight: bold;">2025<br>
</span></span> </span></span></span></span>
</span></span></span></span></span></span>
<ul>
<li>"Scaling Knowledge Graph Inference and Ontology Integration"
the 11th Data Science in Life Science and Engineering
Collaboration and Symposium, CWRU-Tohoku University, Tohoku
University, Aug. 2025</li>
</ul>
<span style="font-weight: bold;"><span style="font-weight: bold;"><span
style="font-weight: bold;"><span style="font-weight: bold;"><span
style="font-weight: bold;"><span style="font-weight:
bold;">2023<br>
</span></span> </span></span></span></span>
<ul>
<li>"Graph-based Deep Learning for PV Degradation Analysis," the
9th Data Science in Life Science and Engineering Collaboration
and Symposium, CWRU-Tohoku University, Tohoku University, Aug.
2023</li>
</ul>
<span style="font-weight: bold;"><span style="font-weight: bold;"><span
style="font-weight: bold;"><span style="font-weight: bold;"></span></span>2022<br>
</span></span>
<ul>
<li>"Spatiotemporal Graph Neural Networks for PV Data
Analytics," the 8th Data Science in Life Science and
Engineering Collaboration and Symposium, CWRU-Tohoku
University, CWRU, Aug. 2022</li>
</ul>
<span style="font-weight: bold;"><br>
2021<br>
</span>
<ul>
<li>"Knowledge-based Event Analysis in Cyber-Physical Data
Streams," Data Science in Life Science and Engineering
Collaboration and Symposium, CWRU-Tohoku University, Mar. 2021<br>
<br>
</li>
<li>"Knowledge Graphs, Exploratory Data Systems and
Applications," FirstEnergy, Apr. 2021<br>
<br>
</li>
<li>"Knowledge Graphs, Exploratory Data Systems and
Applications," CWRU/NASA AI/DS/ML Workshop, Apr. 2021</li>
</ul>
<span style="font-weight: bold;"><br>
2020<br>
<br>
</span>
<ul>
<li>"Why-provenance for Exploratory Graph Analysis", Pacific
Northwest National Laboratory, Richland, WA, Mar. 2020 </li>
</ul>
<span style="font-weight: bold;"><br>
2019</span><br>
<ul>
<li>"Knowledge and Data Quality", All-group meeting, NSF
C-Accelerator All-group Meeting, UT Arlington, Dec 2019<br>
<br>
</li>
<li>"Integrating Physics with Data Analytics for Cyber-Physical
Event and Root Cause Analysis", Workshop on Cyberphysical
Security Analytics for the Power Grid, Princeton, NJ, Oct 2019</li>
</ul>
<span style="font-weight: bold;">2018</span><br>
<ul>
<li>"Towards On-the-Fly Knowledge Bases for Electric Grid
Resilience". <br>
NSF Workshop on Real Time Data Analytics for the Power Grid
Resiliency, Portland, OR, Aug. 2018<br>
<br>
</li>
<li>"From Think Parallel to Think Sequential". Pacific Northwest
National Laboratory, Richland, WA, Mar. 2018 <br>
</li>
</ul>
<span style="font-weight: bold;">2017</span><br>
<ul>
<li>"Ensemble-based Bad Data Detection in PMU Data Streams." <br>
Workshop on Data Analytics for the Smart Grid, Pullman, WA,
Aug. 2017<br>
<br>
</li>
<li>"Answering Pattern Queries Using Views".SIGMOD workshop on
Network Data Analytics, May. 2017</li>
</ul>
<span style="font-weight: bold;">2015</span><br>
<ul>
<li>"Big Graph Analytics: A Journey of Scalability and
Usability". Pacific Northwest National Laboratory, April 2<span
style="font-weight: bold;"></span><br>
</li>
</ul>
<span style="font-weight: bold;">2014</span><br>
<ul>
<li>"Big Graph Search and Analytics". Northeast Univ., Jilin
Univ. Beihang University. China, Oct 25th, 2014<br>
<br>
</li>
<li>"Big Graph Analytics: Systems and Usability". Audaque,
Shenzhen, China, June 15th, 2014<br>
</li>
</ul>
<span style="font-weight: bold;">2013<br>
</span>
<ul>
<li>"Optimizing Service Reachability Against Network Attacks".<br>
Science for Cybersecurity (S4C) workshop, University of
Maryland, June 14, 2013<br>
<br>
</li>
<li>"Ontology-based subgraph querying". <br>
The 29th ICDE conference, GDM workshop Brisbane, Australia,
2013<br>
<br>
</li>
<li>"Ontology-based subgraph querying". <br>
ARL Network Science CTA Technical Meeting, University of
Delaware, 2013<br>
<br>
</li>
<li>“Towards advanced search in complex graphs”. <br>
The 29th ICDE conference, GDM workshop, Brisbane, Australia,
April 8, 2013</li>
</ul>
<span style="font-weight: bold;">2012</span><br>
<ul>
<li>“Emerging Graph Queries in Linked Data”. IEEE ICDE Tutorial,
Washington DC, USA, April 1-5, 2012
<hr></li>
</ul>
</div>
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