Yushi SUN

I am currently a researcher at Tencent Games (Project UP, 青云计划). I obtained my PhD degree from Hong Kong University of Science and Technology (HKUST) in 2025, majored in Computer Science and Engineering. My supervisor is Prof. Lei CHEN. I am fortunate to work with Prof. Nan TANG and Dr. Xin Luna Dong during my PhD journey.

I received the B.S. degree in Computer Science and Applied Mathematics from Hong Kong University of Science and Technology (HKUST) in 2021. More details of me are introduced in my CV|简历.

Email  /  Google Scholar  /  Github  /  Linkedin

My research interest lies in the following database topics: Data Management (Data Annotation, Data Integration, and Data Organization), LLMs, Agents, and RAG. My vision is to make data usable: starting from ensuring the annotation and preparation quality, to developing effective data organization paradigm, to improving usability of data in downstream applications (e.g., LLMs and RAG). Here is a brief introduction of my research.

We proposed a novel KGQA approach that utilizes a caching structure to significantly improve the QA accuracy of KG-based RAG pipeline.

[LLM, RAG, KGQA]

We introduce a novel PLM-LLM collaborated cross data lake column type annotation approach that significantly reduces the generalization cost of domain specifc column type annotation models.

[Data Preparation]

We proposed a novel KGQA approach that resolves the low recall issue of existing methods.

[LLM, RAG, KGQA]

We constructed a comprehensive RAG benchmark and hosted the KDD Cup competition.

[LLM, RAG, Data Organization]

We conducted an extensive evaluation of SOTA LLMs on taxonomies.

[LLM, Data Organization]

We proposed a novel cross-domain-aware worker selection with training approach for crowdsourced data labeling.

[Data Annotation]

We defined a novel named entity schema for related and sub-related table discovery and alignment for enhancing the annotation quality of column semantic types.

[Data Preparation]