News


Feb. 2025
Check our new paper: AutoAgent! Also try our new project: Auto-Deep-Research to generate your own LLM agents!

Dec. 2024
Check our new paper: MiniRAG! MiniRAG is a simple and free framework for RAG!

Sep. 2024
Awarded the HKPF and HKU-PS! Thanks all!

Sep. 2024
Started my PhD journey at HKU!

June 2024
Graduated from ZJU! Thanks to all my teachers and friends! 💗💗💗

Feb. 2024
byebye MSRA! What a wonderful experience!

Dec. 2023
My first first-author paper is accepted by ICLR'24! See you in Vienna!

Ph.D. Student

Department of Computer Science
The University of Hong Kong

Email: tianyufan0504 AT gmail.com
• GitHub • Google Scholar • Linkedin • CV
I am currently a first-year Ph.D. student at the Department of Computer Science in The University of Hong Kong, supervised by Prof. Chao Huang and Prof. Kao, Benjamin C.M.. My research focuses on LLMs, agents and RAG.

Education

The University of Hong Kong (HKU)
Ph.D. in Computer Science      2024 - Present
Advisor: Prof. Chao Huang & Prof. Kao, Benjamin C.M.
Zhejiang University (ZJU)
B.Eng. in Automation      2020 - 2024
Advisor: Prof. Wei Jiang

Open-Source Projects


[Project Page] 		Auto-Deep-Research is a open-source and cost-efficient alternative to OpenAI's Deep Research, based on our AutoAgent framework. Auto-deep-research ranks the #1 spot among open-sourced methods, delivering comparable performance to OpenAI's Deep Research.
Auto-Deep-Research: GitHub stars   GitHub forks
AutoAgent: GitHub stars   GitHub forks

Publications [Google Scholar]



pdf 		AutoAgent: Fully-Automated & Zero-Code LLM Agent Framework
Jiabin Tang, Tianyu Fan, Chao Huang
Arxiv: 2502.05957GitHub stars

pdf 		MiniRAG: Towards Extremely Simple Retrieval-Augmented Generation
Tianyu Fan, Jingyuan Wang, Xubin Ren, Chao Huang
Arxiv: 2501.06713GitHub stars

pdf 		Decoupling Weighing and Selecting for Integrating Multiple Graph Pre-training Tasks
Tianyu Fan, Lirong Wu, Yufei Huang, Haitao Lin, Cheng Tan, Zhangyang Gao, Stan Z. Li
ICLR 2024

pdf 		Fine-tuning Graph Neural Networks by Preserving Graph Generative Patterns
Yifei Sun, Qi Zhu, Yang Yang, Chunping Wang, Tianyu Fan, Jiajun Zhu, Lei Chen
AAAI 2024

pdf 		Extracting Low-/High- Frequency Knowledge from Graph Neural Networks and Injecting it into MLPs: An Effective GNN-to-MLP Distillation Framework
Lirong Wu, Haitao Lin, Yufei Huang, Tianyu Fan, Stan Z. Li
AAAI 2023 (Oral)

Experiences

Research Intern, MSRA, Microsoft, Dec. 2023 - Feb. 2024
Mentor: Dr. Xiao Yang & Dr. Weiqing Liu
Research Intern, AI-Net, Zhejiang University, Dec. 2022 - March. 2023
Advisior: Prof. Yang Yang
Research Intern, AI Lab, Westlake University, June 2022 - Nov. 2022
Advisior: Prof. Stan Z. Li

Honors & Awards

Hong Kong PhD Fellowship Scheme (HKPFS)    2024
HKU Presidential PhD Scholar (HKUPS)    2024
Zhejiang Provincial Government Scholarship    2022,2023

Services


Program Committee Members: ICLR 2024, CIKM 2023



Last update: Feb, 2025. Webpage template borrows from Prof. Xiangnan He.