Yushi SUN

I am a PhD student at Hong Kong University of Science and Technology (HKUST) majored in Computer Science and Engineering supervised by prof. Lei CHEN.

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.

Email  /  Google Scholar  /  Github

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News
We are hosting the KDD Cup competition (2024): Meta Comprehensive RAG. If you are interested, please check this link.
Research

My research interest lies in the following database topics: Tabular Data Integration & Processing, Data Discovery, LLMs, and Crowd-sourcing. Representative papers are highlighted.

Crowd4U Cross-domain-aware Worker Selection with Training for Crowdsourced Annotation
Yushi Sun, Jiachuan Wang, Peng Cheng, Libin Zheng, Lei Chen, Jian Yin
ICDE, 2024

We proposed a novel cross-domain-aware worker selection with training for crowdsourcing.


data & code
IJGI Semantic-Enhanced Graph Convolutional Neural Networks for Multi-Scale Urban Functional-Feature Identification Based on Human Mobility
Yuting Chen, Pengjun Zhao, Yi Lin, Yushi Sun, Rui Chen, Ling Yu, Yu Liu
IJGI, 2024

We applied multiple GNN approach in modeling the human mobility in Shenzhen.

RECA RECA: Related Tables Enhanced Column Semantic Type Annotation Framework
Yushi Sun, Hao Xin, Lei Chen
VLDB, 2023

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 & code
Awards and Honors
RedBird Academic Excellence Award for Continuing PhD Students (2022-2023)
RedBird PhD Scholarship (2021)
HKUST Academic Achievement Medal (2021)
First Class Honor graduate from HKUST (2021)
Hong Kong PhD Fellowship Scheme (2021-2025)
Professional Services
Conference reviewer: CIKM 2023
Journal reviewer: TKDE 2024
Teaching Experience
Teaching Assistant of COMP 2711H Honors Discrete Mathematical Tools for Computer Science (2022 Fall)
Teaching Assistant of COMP 5712 Introduction to Combinatorial Optimization (2022 Spring)
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