About Me
Hello! I am a M.Phil. student of The Hong Kong University of Science and Technology Guangzhou (HKUSTGZ).
Now I am studying in Data Science and Analytics (DSA)
under the supervision of Prof. Yuyu Luo and Prof. Nan Tang,
at the Information Hub (INFH).
I have received the B.Eng. degree in Intelligence Science and Technology from Jinan University (JNU) in 2023.
During my undergraduate live, I started my research by working as the undergraduate research assistant in the Data-driven Intelligent Systems Laboratory of Jinan University.
My undergraduate research direction is the optimization and application of the Broad Learning System (BLS).
Before my graduation, I received the offer from HKUST(GZ) and successflly enrolled in it in the Fall 2023.
Currently, I participate in The Hong Kong University of Science and Technology (Guangzhou) Data Intelligence and Analytics Lab @HKUST(GZ)-DIAL 香港科技大学(广州)-呆鹅实验室
and work as an intern in the International Digital Economy Academy, Financial Artificial Intelligence Laboratory @IDEA-FinAI 粤港澳大湾区数字经济研究院-AI金融与深度学习研究中心.
My research interest comprises Database Management (DBMS), Muiti-agent System (MAS), Natural Language to SQL (NL2SQL) and Open-Source BLS.
News
Receive Intern Program offer and start internship in International Digital Economy Academy (IDEA), Shenzhen.
Successfully pass the Mid-term Group Project Defense of the HKUST(GZ) Red Bird M.Phil Program.
Long Research Paper: A Plug-and-Play Natural Language Rewriter for Natural Language to SQL is available on Arxiv.
The Survey of HKUST(GZ)-DIAL NL2SQL Research Group: A Survey of NL2SQL with Large Language Models: Where are we, and where are we going is available on Arxiv.
Successfully pass the Postgraduate Qualifying Assessment of the HKUST(GZ) Red Bird M.Phil Program.
Start Research Postgraduate Program in The Hong Kong University of Science and Technology (Guangzhou).
Receive Postgraduate Program offers from The Hong Kong University of Science and Technology (Guangzhou) and The Chinese University of Hong Kong (Shenzhen).
First Long Research Paper: Development and Validation of a Deep-broad Ensemble Model for Early Detection of Alzheimer's Disease has been accepted and published by Frontiers in Neuroscience.
Education

The Hong Kong University of Science and Technology (Guangzhou)
Master of Philosophy (M.Phil.) in Data Science and Analytics

Jinan University
Bachelor of Engineering (B.Eng.) in Intelligence Science and Technology
Publications

A Plug-and-Play Natural Language Rewriter for Natural Language to SQL (2024)
Arxiv | Preprint (Under Review)

A Survey of NL2SQL with Large Language Models: Where are we, and where are we going? (2024)
Arxiv | Preprint (Under Review of TKDE)

Development and Validation of a Deep-broad Ensemble Model for Early Detection of Alzheimer's Disease (2023)
Frontiers in Neuroscience 2023 | Journal (JCR Q2, IF: 5.8)
Internship

International Digital Economy Academy (IDEA)
Intern for Large Language Model Engineering, FinAI Lab, FinKG Group

Jinan University Big Data Center
Intern for Data Mining and Analysis
Awards
Red Bird Postgraduate Scholarship
ScholarshipThe Hong Kong University of Science and Technology (Guangzhou)
Red Bird Postgraduate Scholarship
ScholarshipThe Hong Kong University of Science and Technology (Guangzhou)
Distinguished Graduate
HonorCollege of Information Science and Technology, Jinan University
Silver Award in "Medicine +X" Virtual Simliation Competition
CompetitionJinan University & Guangzhou Medical University
Second Class Scholarship for Excellent Student
ScholarshipJinan University
Third Class Scholarship for Excellent Student
ScholarshipJinan University
Honorable Mention for Mathematical Contest In Modeling
CompetitionJinan University
Projects
A Plug-and-Play Customized AI Agent Assistant for the Full Scene of Personal Life
An interactive text adventure game based on a time loop mechanism. Players must solve puzzles, engage in conversations, and save their fellow student within a limited time frame.
Services
Conference
- Volunteer Guangzhou, International Conference on Very Large Databases (VLDB 2024)