Maojun Sun | Ph.D. Student @ PolyU

Biography 🙋

I am a second-year Ph.D. student at the Department of Data Science & Artificial Intelligence (DSAI) / Department of Applied Mathematics (AMA), the Hong Kong Polytechnic University (PolyU). I am fortunately supervised by Prof. Huang Jian, Prof. Han Ruijian, and Prof. Yuan Yancheng.

Before that, I worked as a research assistant at Research Center for the Mathematical Foundations of Generative AI (CMFAI), supervised by Prof. Huang Jian. I obtained my Master's degree with Distinction Honor in Data Science in 2024, under supervision of Prof. Jiang Binyan. I got my Bachelor's degree in Computer Science in 2022, and obtained the National Scholarship.

I am passionate about artificial intelligence, especially large language models (LLMs), agents, and reinforcement learning related research and applications. Feel free to reach out for discussion and collaboration.

Research Interests 💡

Agentic AI: Data Science Agent, Multi-agent System, Retrieval Augmented Generation, Benchmarks.
Large Language Model: Supervised Fine-tuning and Reinforcement Learning.
AI4Science: Agent4Science, Health Informatics, Medical Image, Medical Language Model.

News 📢

April 20, 2026

LAMBDA Web App is now online and free to use: https://lambda.com.ai . Welcome to try it out and give us feedback!

April 15, 2026

All discussion papers and rejoinder of LAMBDA have been published. We thank Prof. Hongtu Zhu for his organization. We also thank Prof. David Donoho, Prof. James Zou, Prof. Xihong Lin, Prof. Xiao-Li Meng, Prof. Fan Zhou, Dr. Rui (Sammi) Tang, and other participants for their valuable comments. We have carefully considered these comments and provided detailed responses (rejoinder paper).

March 05, 2026

We released paper DARE: Aligning LLM Agents with the R Statistical Ecosystem via Distribution-Aware Retrieval, an embedding model for improving LLM Agents on R package retrieval and downstream statistical analysis tasks. DARE outperforms open-sourced embedding models on R retrieval with higher efficiency and accuracy.

Jan 20, 2026

We released paper DSAEval: Evaluating Data Science Agents on a Wide Range of Real-World Data Science Problems, introducing a large-scale benchmark with 641 real-world data science tasks across multimodal data and interactive analytical workflows, enabling systematic evaluation of modern data science agents.

Aug 22, 2025

Our paper A Survey on Large Language Model-based Agents for Statistics and Data Science has been accepted by TAS (The American Statistician). And It is selected with discussion 🎉.

May 16, 2025

Paper LAMBDA: A Large Model Based Data Agent accepted by top journal JASA 🎉. And it is our great honor that the paper is selected with discussion (Only 2) and will be presented at JSM 2025. We are especially privileged to learn that Prof. David Donoho will serve as one of the discussants for our work.

Aug 30, 2024

Registered as a Ph.D. student at Hong Kong Polytechnic University.

Jul 15, 2024

Graduated with Distinction Honor 🥇 from Msc in Data Science & Analytics, PolyU.

Dec 2023

My fans exceed 1000 on CSDN 🔥.

Selected Publications 📰

(View all on Google Scholar )

DARE: Aligning LLM Agents with the R Statistical Ecosystem via Distribution-Aware Retrieval

Maojun Sun^†, Yue Wu^†, Yifei Xie^†, Ruijian Han^*, Binyan Jiang, Defeng Sun, Yancheng Yuan^*, Jian Huang^*.

Under Review, arXiv preprint arXiv:2603.04743, 2026
🤗 HF Daily Top 3

Paper Page Code

Model

Data

DSAEval: Evaluating Data Science Agents on a Wide Range of Real-World Data Science Problems

Maojun Sun^†, Yifei Xie^†, Yue Wu^†, Ruijian Han^*, Binyan Jiang, Defeng Sun, Yancheng Yuan^*, Jian Huang^*.

Under Review, arXiv preprint arXiv:2601.13591, 2026

Paper Page Code Task View

JASA

LAMBDA: A Large Model Based Data Agent

Maojun Sun, Ruijian Han, Binyan Jiang, Houduo Qi, Defeng Sun, Yancheng Yuan^*, Jian Huang^*.

Journal of the American Statistical Association, 2025.
🏅 Selected with discussion

Paper LAMBDA Web APP Page Code Docs

TAS

A Survey on Large Language Model-based Agents for Statistics and Data Science

Maojun Sun, Ruijian Han, Binyan Jiang, Houduo Qi, Defeng Sun, Yancheng Yuan*, Jian Huang*.

The American Statistician, 2025.
🏅 Selected with discussion

Paper Repo

JASA

Rejoinder to the Discussions on "LAMBDA: A Large Model Based Data Agent"

Maojun Sun, Ruijian Han, Binyan Jiang, Houduo Qi, Defeng Sun, Yancheng Yuan^*, Jian Huang^*.

Journal of the American Statistical Association, 2026.

PAPER All Discussions

TAS

Rejoinder to the Discussions on “A Survey on Large Language Model-based Agents for Statistics and Data Science”

Maojun Sun, Ruijian Han, Binyan Jiang, Houduo Qi, Defeng Sun, Yancheng Yuan*, Jian Huang*.

Accepted. The American Statistician, 2026.

Experiences 🚀

Hong Kong Polytechnic University Feb 2024 - Aug 2024

Research Assistant & Project Assistant

Research and develop on LLM for data analysis. Develop systems for IOR, CMFAI, RCNA, RCQF.

AI Lab, Hong Kong Hospital Authority Jul 2023 - Dec 2023

Student Researcher

Research and develop on LLM in diagnostic systems (fine-tuning, evaluation, prompt engineering).

Bacara Energy Technology Jun 2022 - Aug 2022

Image Algorithm Intern

Research and develop on intelligent inspection solutions for wind power drones.

DXC Technology Nov 2021 - Jun 2022

AI Engineer

Develop on web robot. Research on algorithm of resume content classification and extraction.

Awards 🏅

National Scholarship of China 12/2020

Outstanding Graduation of Zhejiang Province 06/2022

Government Scholarship of Zhejiang Province 12/2021

PolyU Research Postgraduate Scholarship 09/2024

Elite Scholarship × 2 2020, 2021

First Class Scholarship × 5 2018-2021

Winning Prize, DJI RoboMaster Intelligent Perception 12/2022

Second Prize of National Artificial Intelligence & Innovation Competition 05/2021

Merit Student Award × 7 2018 & 2019 & 2020 & 2021

Teaching & Talks 👨‍🏫

Teaching Assistant, DSAI1102 Data Analytics Fundamentals, PolyU 25/26 S2

Teaching Assistant, DSAI5101 Statistical Data Mining, PolyU 25/26 S1

Teaching Assistant, Mathematics Learning Support Centre, PolyU 24/25 S1

Talk: LAMBDA: A Large Model Based Data Agent @ Seminar of Mathematical Foundations of AI, Tianyuan Mathematics Research Center, Kunming, Yunnan Sep 2024

Talk: Understanding Large Language Models: Principles, Evolution, and Applications @ PolyU Summer School Jun 2024

Professional Skills 🪀

AI & ML: LLM Fine-tuning, Image Classification, Data Mining, Target Detection, Image Segmentation, etc.

Programming: Python, Java, SQL, HTML/JS/CSS, C, etc.

Development: FastAPI, Flask, SpringBoot, SpringCloud, Vue, Nginx, Git, Docker, AWS, Aliyun, etc.

Big Data: MySQL, Redis, Hadoop, Spark, etc.

Others 💌

🎓 Research interests, please contact me by mj.sun@connect.polyu.hk