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<h1 class="hero-title">DaSE Candy @ ECNU</h1>
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<p>Welcome to the Candy Lab! We are under the guidance of our advisor, YANG Chengcheng (杨程程), and our focus is on pioneering research in the field of advanced databases.</p>
<br>
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<!--
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<h1 id="lab-overview">Lab Overview</h1>
<p>Welcome to the <strong>Candy Lab</strong> of the <a href="https://dase.ecnu.edu.cn" target="_blank" rel="noopener">School of Data Science and Engineering (DaSE)</a> at <a href="https://english.ecnu.edu.cn/" target="_blank" rel="noopener">East China Normal University (ECNU)</a>. As a prominent research group, we thrive on exploring and pushing the boundaries of how machine learning can redefine and revolutionize the world of database management.</p>
<h3 id="our-vision">Our Vision</h3>
<p>Our main vision is to create an intelligent and self-adaptive data management system that seamlessly integrates cutting-edge machine learning techniques. By doing so, we aim to unlock unprecedented levels of efficiency, reliability, and scalability in data management tasks.</p>
<h3 id="core-research-areas">Core Research Areas</h3>
<p>We are deeply passionate about a multitude of research topics within the broad spectrum of database management. Currently, our primary research interests encompass:</p>
<ul>
<li>
<p><strong>AI4Storage</strong>: Here, we delve into the integration of AI with storage technologies. Key areas of focus include:</p>
<ul>
<li>Non-volatile memory: Exploring how machine learning can optimize and enhance the functionalities of persistent memory structures.</li>
<li>LSM-tree (Log-Structured Merge-tree): Investigating the fusion of AI techniques to improve the performance and efficiency of LSM-tree operations.</li>
</ul>
</li>
<li>
<p><strong>AI4Optimizer</strong>: Optimization lies at the heart of efficient data management. Our interests in this domain include:</p>
<ul>
<li>Cardinality estimation: Employing AI to refine the predictability of the number of rows returned by a query, which is essential for optimizing query performance.</li>
</ul>
</li>
<li>
<p><strong>AI4Operations</strong>: Elevating database operations through AI-driven strategies is one of our core pursuits. Key topics under this umbrella are:</p>
<ul>
<li>Index recommendation: Harnessing machine learning algorithms to suggest optimal indexing strategies for databases, ensuring efficient data retrieval and management.</li>
</ul>
</li>
<li>
<p><strong>Vector DB</strong>: In the realm of databases, vector databases are becoming increasingly crucial for tasks such as similarity search. Our focus areas include:</p>
<ul>
<li>ANNS (Approximate Nearest Neighbor Search): Leveraging machine learning techniques to enhance the speed and accuracy of searches within large-scale datasets.</li>
</ul>
</li>
</ul>
<p>Join us in our journey as we blend traditional database management principles with state-of-the-art machine learning advancements to shape the future of data science and engineering.</p>
</div>
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</section>