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<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.1//EN" "http://www.w3.org/TR/xhtml11/DTD/xhtml11.dtd">
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<title>Baotong Lu</title>
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<img src="photos/jeff.jpg" alt="alt text" width="150px" />
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<h2>Baotong Lu</h2>
<p>Researcher<br />
<a href="https://www.microsoft.com/en-us/research/group/systems-and-networking-research-group-asia/" target=“blank”>Systems and Networking Research Group</a><br />
<a href="https://www.microsoft.com/en-us/research/lab/microsoft-research-asia/" target=“blank”>Microsoft Research Asia (MSR Asia)</a><br />
Email: <a href="mailto:baotonglu@microsoft.com" target=“blank”>baotonglu[@]microsoft.com</a> <br />
Github: <a href="https://github.com/baotonglu" target=“blank”> baotonglu</a> <br />
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<h2>Biography</h2>
<p>Baotong Lu is a researcher in Microsoft Research Asia. He received his PhD degree from The Chinese University of Hong Kong in 2023 and visited Simon Fraser University in 2019 and 2023 respectively.
His research interest lies in database management system (e.g., vector databases) and machine learning systems (e.g., LLM inference, RAGs). His is a recipient of 2021 ACM SIGMOD Research Highlight Award.</p>
<h2>Publications</h2>
<ul>
<li>
<p> <a href="https://arxiv.org/pdf/2409.10516" target=“blank”>RetrievalAttention: Accelerating Long-Context LLM Inference via Vector Retrieval</a> <br /> Di Liu, Meng Chen, <b>Baotong Lu</b>, Huiqiang Jiang,
Zhenhua Han, Qianxi Zhang, Qi Chen, Chengruidong Zhang, Bailu Ding, Kai Zhang, Chen Chen,
Fan Yang, Yuqing Yang, LiLi Qiu <br /> NeurIPS 2024 ENLSP workshop (<font color="Red">Oral<font color="Black">)</p>
<li>
<p> <a href="https://arxiv.org/pdf/2405.14502" target=“blank”>DEX: Scalable Range Indexing on Disaggregated Memory</a> <br /> <b>Baotong Lu</b>, Kaisong Huang, Mike Chieh-Jan Liang, Tianzheng
Wang, Eric Lo <br /> 50th International Conference on Very Large Data Bases (VLDB 2024).</p>
<li>
<p> <a href="http://vldb.org/pvldb/vol15/p3004-wongkham.pdf" target=“blank”>Are Updatable Learned
Indexes Ready?</a> <br /> Chaichon Wongkham, <b>Baotong Lu</b>, Chris Liu, Zhicong Zhong, Eric Lo, Tianzheng
Wang <br /> 48th International Conference on Very Large Data Bases (VLDB 2022).</p>
<li>
<p> <a href="https://arxiv.org/pdf/2105.00683" target=“blank”>APEX: A High-Performance Learned Index
on Persistent Memory.</a> <br /> <b>Baotong Lu</b>, Jialin Ding, Eric Lo, Umar Faroop Minhas, Tianzheng Wang
<br /> 48th International Conference on Very Large Data Bases (VLDB 2022).
</p>
<li>
<p> <a href="https://sigmodrecord.org/?smd_process_download=1&download_id=7286"
target=“blank”>Scaling Dynamic Hash Tables on Real Persistent Memory.</a> <a
href="https://sigmodrecord.org/publications/sigmodRecord/2103/pdfs/21_tp-sdh-ross.pdf"
target=“blank;>[Technical Perspective]</a> from <a href="http://www.cs.columbia.edu/~kar/"
target=“blank;>Prof. Ken Ross</a> <br /> <b>Baotong Lu</b>, Xiangpeng Hao, Tianzheng Wang, Eric Lo
<br /> SIGMOD Record 2021, Volume 50, Issue 1.
</p>
<li>
<p> <a href="http://www.vldb.org/pvldb/vol13/p1147-lu.pdf" target=“blank”>Dash: Scalable Hashing on
Perisistent Memory.</a> <a href="https://github.com/baotonglu/dash" target=“blank;>[code]</a> <a
href="http://nvmw.ucsd.edu/nvmw2021-program/nvmw2021-data/nvmw2021-paper21-final_version_your_extended_abstract.pdf"
target=“blank;>[Abstract at NVMW 2021]</a> <br /> <b>Baotong Lu</b>, Xiangpeng Hao, Tianzheng Wang,
Eric Lo <br /> 46th International Conference on Very Large Data Bases (VLDB 2020). <br />
<font color="Red">2021 ACM SIGMOD Research Highlight Award <br />
<font color="Black"> <a href="https://dragonflydb.io/">DragonflyDB</a>'s (a modern, fast Redis replacement)
<a href="https://github.com/dragonflydb/dragonfly">core hash table structure</a> is based on Dash.
</font>
</font>
</p>
<li>
<p> <a href="https://arxiv.org/pdf/2001.02504" target=“blank”>High Performance Depthwise and
Pointwise Convolutions on Mobile Devices.</a> <br /> Pengfei Zhang, Eric Lo, <b>Baotong Lu</b> <br /> 34th
AAAI conference on Artificial Intelligence (AAAI 2020).</p>
</li>
</ul>
<h2>Professional Service</h2>
<ul>
<li>
<p>Program Committee: EDBT 2026</p>
</li>
<li>
<p>Program Committee: VLDB 2025 (PVLDB 18)</p>
</li>
<li>
<p>SIGMOD Availability Committee 2023, 2022</p>
</li>
<li>
<p>Reviewer: VLDBJ, TKDE, TCAD</p>
</li>
<li>
<p>External Reviewer: SIGMOD 2024, ICDE 2024, SIGMOD 2022, ICDE 2022, VLDB 2021, SIGMOD 2021, ICDE 2021, EDBT 2021, ATC
2020, DASFAA
2019, VLDB 2018 (Demo)</p>
</li>
</ul>
<h2>Teaching Assistant (CUHK)</h2>
<ul>
<li>
<p>Spring 2021, CSCI5570: Large Scale Data Processing Systems</p>
<li>
<p>Fall 2020, <a href="http://www.cse.cuhk.edu.hk/~byu/CENG4480/2020Fall/index.html"
target=“blank”>CENG4480: Embedded System Development and Applications</a> </p>
<li>
<p>Fall 2019, CSCI4160: Distributed and Parallel Computing</p>
<li>
<p>Spring 2019, ESTR3102: Operating Systems (Elite Stream)</p>
<li>
<p>Fall 2018, CSCI3150: Operating Systems</p>
</li>
</ul>
<h2>Selected Awards</h2>
<table id="noborder">
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<td class="c1">ACM SIGMOD Research Highlight Award</td>
<td class="c2"> 2021
<tr class="r7">
<td class="c1">Mitacs Globalink Research Award</td>
<td class="c2"> 2022
<tr class="r7">
<td class="c1">China National Scholarship</td>
<td class="c2"> 2015, 2017
</td>
</tr>
</table>
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