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A list of all the posts and pages found on the site. For you robots out there is an XML version available for digesting as well.
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About Me
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Published:
This post will show up by default. To disable scheduling of future posts, edit config.yml
and set future: false
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Published:
This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
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Published:
This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
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Published:
This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
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Published:
This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
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Short description of portfolio item number 1
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Short description of portfolio item number 2
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Published in Journal 1, 2010
This paper is about the number 2. The number 3 is left for future work.
Recommended citation: Your Name, You. (2010). "Paper Title Number 2." Journal 1. 1(2). http://academicpages.github.io/files/paper2.pdf
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Published in Journal 1, 2015
This paper is about the number 3. The number 4 is left for future work.
Recommended citation: Your Name, You. (2015). "Paper Title Number 3." Journal 1. 1(3). http://academicpages.github.io/files/paper3.pdf
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Published in EurJOC, 2019
Download here
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Published:
With the prosperity of e-commerce and web applications, Recommender Systems (RecSys) have become an important component in our daily life, providing personalized suggestions that cater to user preferences. While Deep Neural Networks (DNNs) have made significant advancements in enhancing recommender systems by modeling user-item interactions and incorporating their textual side information, these DNN-based methods still have some limitations, such as difficulties in effectively understanding users’ interests and capturing textual side information, inabilities in generalizing to various seen/unseen recommendation scenarios and reasoning on their predictions, etc.
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This workshop on the synergy between Data engineering (DE) and Large Language Models (LLMs) is a pioneering event in top-tier conferences. It brings together experts to share recent challenges and opportunities, aiming to inspire future research. With oral presentations and poster sessions, the workshop provides a platform for researchers from natural language processing, data engineering, and database systems to discuss ideas, review past work, and explore new directions. The focus is on the synergy between LLMs and DBMS from two aspects. The first explores how LLMs empower DBMS tasks, such as data retrieval, query optimization, and index tuning. The second examines how DE enhance the capability of LLM through data engineering, retrieval-augmented generation (RAG) systems, multi-modal data management, and more. By including participants from academia and industry, the workshop aims to connect practical applications with research, encouraging collaboration that will shape the future of intelligent databases.
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Undergraduate course, University 1, Department, 2014
This is a description of a teaching experience. You can use markdown like any other post.
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Workshop, University 1, Department, 2015
This is a description of a teaching experience. You can use markdown like any other post.
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