Yizhang ZHU
M.Phil. Student @ HKUST(GZ)-DIAL

👋Hi, welcome to my page!

I am an M.Phil. student in Data Science and Analytics, under the supervision of Prof. Yuyu LUO, at the Hong Kong University of Science and Technology (Guangzhou). Prior to that, I received my B.Eng. degree in Computer Science and Technology from Chongqing University. My current research focuses on AI for data analytics, with the aim of democratizing data science. I am particularly interested in Natural Language to SQL and Automated Data Analysis.

As a beginner, I'm open to opportunities for communication and collaboration. Feel free to reach out!

Google Scholar GitHub LinkedIn ORCID Résumé
Education
  • The Hong Kong University of Science and Technology (Guangzhou)
    The Hong Kong University of Science and Technology (Guangzhou)
    M.Phil. student in Data Science and Analytics
    Sept. 2023 - present
  • Chongqing University
    Chongqing University
    B.Eng. in Computer Science and Technology
    Sept. 2019 - Jul. 2023
Experience
  • NUS Chongqing Research Institute
    NUS Chongqing Research Institute
    NUS-CQU Co-program in Computer Engineering
    Sept. 2022 - May. 2023
Honors & Awards
  • Greater Bay Area CS Academic Poster Competition (Most Popular Poster)
    2025/03
  • HKUST(GZ) Red Bird M.Phil. Studentship (2023~2025)
    2023/09
  • Excellent Graduates of Chongqing University
    2023/06
  • General Scholarship of Chongqing University
    2022/09
  • College Students Big Data Challenging Competition (National Third Prize)
    2021/11
  • National Mathematical Contest of Modelling (First Prize in Chongqing)
    2021/10
  • Internet+ Innovation Competition (Silver Prize in Chongqing)
    2021/08
  • China Collegiate Computing Contest (Second Prize in Southwest Division)
    2021/08
  • National English Competition for College Students (National Third Prize)
    2020/12
News
2025
🎉 RAMer has been accepted by IJCAI 2025! Thanks to Xudong!
Apr 29
🐘 We released EllieSQL, a cost-efficient Text-to-SQL framework with complexity-aware routing.
Apr 03
2024
🎉 Our paper "Are Large Language Models Good Statisticians?" has been accepted by NeurIPS 2024!
Jun 21
🥳 Passed the Master Thesis Proposal Quality Assessment!
Jan 12
2023
🔬 Started my RPg studies at HKUST(GZ) and joined DIAL.
Sep 01
🎓️ Graduated from Chongqing University with a B.Eng. in Computer Science and Technology!
Jun 23
Selected Publications (view all )
LEAD: Iterative Data Selection for Efficient LLM Instruction Tuning
LEAD: Iterative Data Selection for Efficient LLM Instruction Tuning

Xiaotian LIN, Yanlin QI, Yizhang ZHU, Themis Palpanas, Chengliang CHAI, Nan TANG, Yuyu LUO

ArXiv

[Paper]

LEAD: Iterative Data Selection for Efficient LLM Instruction Tuning
LEAD: Iterative Data Selection for Efficient LLM Instruction Tuning

Xiaotian LIN, Yanlin QI, Yizhang ZHU, Themis Palpanas, Chengliang CHAI, Nan TANG, Yuyu LUO

ArXiv

[Paper]

Boosting Text-to-Chart Retrieval through Training with Synthesized Semantic Insights
Boosting Text-to-Chart Retrieval through Training with Synthesized Semantic Insights

Yifan WU, Lutao YAN, Yizhang ZHU, Yinan MEI, Jiannan WANG, Nan TANG, Yuyu LUO

ArXiv

[Paper]

Boosting Text-to-Chart Retrieval through Training with Synthesized Semantic Insights
Boosting Text-to-Chart Retrieval through Training with Synthesized Semantic Insights

Yifan WU, Lutao YAN, Yizhang ZHU, Yinan MEI, Jiannan WANG, Nan TANG, Yuyu LUO

ArXiv

[Paper]

EllieSQL: Cost-Efficient Text-to-SQL with Complexity-Aware Routing
EllieSQL: Cost-Efficient Text-to-SQL with Complexity-Aware Routing

Yizhang ZHU, Runzhi JIANG, Boyan LI, Nan TANG, Yuyu LUO

ArXiv

[Homepage] [Paper] [Code]

EllieSQL: Cost-Efficient Text-to-SQL with Complexity-Aware Routing
EllieSQL: Cost-Efficient Text-to-SQL with Complexity-Aware Routing

Yizhang ZHU, Runzhi JIANG, Boyan LI, Nan TANG, Yuyu LUO

ArXiv

[Homepage] [Paper] [Code]

SRAG: Structured Retrieval-Augmented Generation for Multi-Entity Question Answering over Wikipedia Graph
SRAG: Structured Retrieval-Augmented Generation for Multi-Entity Question Answering over Wikipedia Graph

Teng LIN, Yizhang ZHU, Yuyu LUO, Nan TANG

ArXiv

[Paper] [Code]

SRAG: Structured Retrieval-Augmented Generation for Multi-Entity Question Answering over Wikipedia Graph
SRAG: Structured Retrieval-Augmented Generation for Multi-Entity Question Answering over Wikipedia Graph

Teng LIN, Yizhang ZHU, Yuyu LUO, Nan TANG

ArXiv

[Paper] [Code]

RAMer: Reconstruction-based Adversarial Model for Multi-party Multi-modal Multi-label Emotion Recognition
RAMer: Reconstruction-based Adversarial Model for Multi-party Multi-modal Multi-label Emotion Recognition

Xudong YANG, Yizhang ZHU, Nan TANG, Yuyu LUO

IJCAI 2025

[Paper] [Code]

RAMer: Reconstruction-based Adversarial Model for Multi-party Multi-modal Multi-label Emotion Recognition
RAMer: Reconstruction-based Adversarial Model for Multi-party Multi-modal Multi-label Emotion Recognition

Xudong YANG, Yizhang ZHU, Nan TANG, Yuyu LUO

IJCAI 2025

[Paper] [Code]

AskChart: Universal Chart Understanding through Textual Enhancement
AskChart: Universal Chart Understanding through Textual Enhancement

Xudong YANG, Yifan WU, Yizhang ZHU, Nan TANG, Yuyu LUO

ArXiv

[Paper] [Code]

AskChart: Universal Chart Understanding through Textual Enhancement
AskChart: Universal Chart Understanding through Textual Enhancement

Xudong YANG, Yifan WU, Yizhang ZHU, Nan TANG, Yuyu LUO

ArXiv

[Paper] [Code]

Are Large Language Models Good Statisticians?
Are Large Language Models Good Statisticians?

Yizhang ZHU, Shiyin DU, Boyan LI, Yuyu LUO, Nan TANG

NeurIPS 2024 D&B

[Homepage] [Paper] [Code] [Video]

Are Large Language Models Good Statisticians?
Are Large Language Models Good Statisticians?

Yizhang ZHU, Shiyin DU, Boyan LI, Yuyu LUO, Nan TANG

NeurIPS 2024 D&B

[Homepage] [Paper] [Code] [Video]

All publications