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150      <header>
151        
152        
153        <a class="image avatar"><img src="./assets/img/xchu.png" alt="avatar" /></a>
154        
155
156        <h1>Xiaoyu Chu</h1>
157
158        
159        <position style="font-size:1.10rem;">Ph.D. Candidate</position>
160        <br>
161        
162        
163        <a href="https://www.vu.nl/en/" rel="noopener"><autocolor>Vrije University Amsterdam</autocolor></a>
164        <br>
165        
166        
167        <email>chuxiaoyu123 (at) gmail.com</email>
168        
169        
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171        <br>
172        <br>
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207      </header>
208      <section>
209
210      <h1 id="index">Index</h1>
211
212<h2 id="about-me">About Me</h2>
213
214<p>Hi👋! I am a Ph.D. candidate at the <a href="https://atlarge-research.com/xchu/" target="_blank">Massivizing Computer Systems Group</a>, supervised by <a href="https://scholar.google.com/citations?user=7wwQ7twAAAAJ" target="_blank">Alexandru Iosup</a>. 
215I work at the intersection of computer systems and AI. My work focuses on building data pipelines and software tools that analyze large-scale and real-world operational data, especially around cloud systems and large language models.</p>
216
217<h2 id="research-interests">Research Interests</h2>
218<ul>
219  <li><strong>HPC &amp; Operational Data Analytics</strong></li>
220  <li><strong>AI for IT Operatoins (AIOps)</strong></li>
221  <li><strong>LLM Service Avaliability &amp; Applications</strong></li>
222  <li><strong>Datacenter Ontology</strong></li>
223</ul>
224<h1 id="publications"></h1>
225
226<h2 style="margin: 60px 0px -15px;">Selected Publications <temp style="font-size:15px;">[</temp><a href="https://scholar.google.com/citations?user=eIKz6sMAAAAJ&amp;hl=en" target="_blank" style="font-size:15px;">Google Scholar</a><temp style="font-size:15px;">]</temp></h2>
227
228<div class="publications">
229<ol class="bibliography">
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233<li>
234    
235    <h2 id="2026-icpe-llm-incident-extraction"></h2>
236    
237<div class="pub-row">
238  <!-- <div class="col-sm-3 abbr" style="position: relative;padding-right: 15px;padding-left: 15px;">
239    <img src="" class="teaser img-fluid z-depth-1" style="width=100;height=40%">
240            <abbr class="badge">ICPE'26</abbr>
241  </div> -->
242  <div class="col-sm-9" style="position: relative;padding-right: 15px;padding-left: 20px;">
243      <div class="title"><a href="https://dl.acm.org/doi/10.1145/3777911.3801103">Leveraging LLMs for Structured Information Extraction and Analysis from Cloud Incident Reports (Work In Progress Paper)</a></div>
244      <div class="author"><strong>Xiaoyu Chu</strong>, Shashikant Ilager, Yizhen Zang, Sacheendra Talluri, Alexandru Iosup</div>
245      <div class="periodical"><em>ACM/SPEC International Conference on Performance Engineering (ICPE 2026)</em>
246      </div>
247    <div class="links">
248       
249      <a href="https://dl.acm.org/doi/10.1145/3777911.3801103" class="btn btn-sm z-depth-0" role="button" target="_blank" style="font-size:12px;">PDF</a>
250      
251       
252      <a href="https://github.com/atlarge-research/llm-cloud-incident-extraction" class="btn btn-sm z-depth-0" role="button" target="_blank" style="font-size:12px;">CODE</a>
253      
254      
255       
256      <a href="https://zenodo.org/records/14010282" class="btn btn-sm z-depth-0" role="button" target="_blank" style="font-size:12px;">DATA</a>
257      
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260      
261    </div>
262  </div>
263</div>
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269<li>
270    
271    <h2 id="2026-tpds-cloud-uptime-archive"></h2>
272    
273<div class="pub-row">
274  <!-- <div class="col-sm-3 abbr" style="position: relative;padding-right: 15px;padding-left: 15px;">
275    <img src="" class="teaser img-fluid z-depth-1" style="width=100;height=40%">
276            <abbr class="badge">TPDS'26</abbr>
277  </div> -->
278  <div class="col-sm-9" style="position: relative;padding-right: 15px;padding-left: 20px;">
279      <div class="title"><a href="https://doi.org/10.1109/TPDS.2026.3673519">Cloud Uptime Archive: Open-Access Availability Data of Web, Cloud, and Gaming Services</a></div>
280      <div class="author">Sacheendra Talluri, Dante Niewenhuis, <strong>Xiaoyu Chu</strong>, Jakob Kyselica, Mehmet Cetin, Alexander Balgavy, Alexandru Iosup</div>
281      <div class="periodical"><em>IEEE Transactions on Parallel and Distributed Systems (TPDS 2026)</em>
282      </div>
283    <div class="links">
284       
285      <a href="https://arxiv.org/pdf/2504.09476" class="btn btn-sm z-depth-0" role="button" target="_blank" style="font-size:12px;">PDF</a>
286      
287       
288      <a href="https://github.com/atlarge-research/cloud-uptime-archive" class="btn btn-sm z-depth-0" role="button" target="_blank" style="font-size:12px;">CODE</a>
289      
290      
291       
292      <a href="https://zenodo.org/records/14712442" class="btn btn-sm z-depth-0" role="button" target="_blank" style="font-size:12px;">DATA</a>
293      
294      
295      
296      
297    </div>
298  </div>
299</div>
300</li>
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305<li>
306    
307    <h2 id="2025-icpe-llm-service-analysis"></h2>
308    
309<div class="pub-row">
310  <!-- <div class="col-sm-3 abbr" style="position: relative;padding-right: 15px;padding-left: 15px;">
311    <img src="" class="teaser img-fluid z-depth-1" style="width=100;height=40%">
312            <abbr class="badge">ICPE'25</abbr>
313  </div> -->
314  <div class="col-sm-9" style="position: relative;padding-right: 15px;padding-left: 20px;">
315      <div class="title"><a href="https://doi.org/10.1145/3676151.3719372">An Empirical Characterization of Outages and Incidents in Public Services for Large Language Models</a></div>
316      <div class="author"><strong>Xiaoyu Chu</strong>, Sacheendra Talluri, Qingxian Lu, Alexandru Iosup</div>
317      <div class="periodical"><em>ACM/SPEC International Conference on Performance Engineering (ICPE 2025)</em>
318      </div>
319    <div class="links">
320       
321      <a href="https://dl.acm.org/doi/10.1145/3676151.3719372" class="btn btn-sm z-depth-0" role="button" target="_blank" style="font-size:12px;">PDF</a>
322      
323       
324      <a href="https://github.com/atlarge-research/llm-service-analysis" class="btn btn-sm z-depth-0" role="button" target="_blank" style="font-size:12px;">CODE</a>
325      
326      
327       
328      <a href="https://zenodo.org/records/14018219" class="btn btn-sm z-depth-0" role="button" target="_blank" style="font-size:12px;">DATA</a>
329      
330      
331      
332      
333    </div>
334  </div>
335</div>
336</li>
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341<li>
342    
343    <h2 id="2024-icpads-workload-chracterization"></h2>
344    
345<div class="pub-row">
346  <!-- <div class="col-sm-3 abbr" style="position: relative;padding-right: 15px;padding-left: 15px;">
347    <img src="" class="teaser img-fluid z-depth-1" style="width=100;height=40%">
348            <abbr class="badge">ICPADS'24</abbr>
349  </div> -->
350  <div class="col-sm-9" style="position: relative;padding-right: 15px;padding-left: 20px;">
351      <div class="title"><a href="https://ieeexplore.ieee.org/document/10763608">Generic and ML Workloads in an HPC Datacenter: Node Energy, Job Failures, and Node-Job Analysis</a></div>
352      <div class="author"><strong>Xiaoyu Chu*</strong>, Daniel Hofstätter*, Shashikant Ilager, Sacheendra Talluri, Duncan Kampert, Damian Podareanu, Dmitry Duplyakin, Ivona Brandic, Alexandru Iosup (*Equal contributions)</div>
353      <div class="periodical"><em>IEEE International Conference on Parallel and Distributed Systems (ICPADS 2024)</em>
354      </div>
355    <div class="links">
356       
357      <a href="https://atlarge-research.com/pdfs/2024-icpads-hpc-workload-characterization.pdf" class="btn btn-sm z-depth-0" role="button" target="_blank" style="font-size:12px;">PDF</a>
358      
359       
360      <a href="https://github.com/atlarge-research/2024-icpads-hpc-workload-characterization" class="btn btn-sm z-depth-0" role="button" target="_blank" style="font-size:12px;">CODE</a>
361      
362      
363       
364      <a href="https://zenodo.org/records/11028934" class="btn btn-sm z-depth-0" role="button" target="_blank" style="font-size:12px;">DATA</a>
365      
366      
367      
368      
369    </div>
370  </div>
371</div>
372</li>
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378</ol>
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