Research Homepage

Tianyu Fan

Ph.D. Candidate in Computing & Data Science, The University of Hong Kong

I study benchmarks and evaluation, and agent evolution through model-harness co-evolution. My work spans post-training, automated research, and agent systems.

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Affiliation
School of Computing and Data Science, HKU
Email
tianyufan0504 AT gmail.com
Advisors
Prof. Chao Huang and Prof. Benjamin C.M. Kao

About

I am a Ph.D. candidate in Computing & Data Science at the School of Computing and Data Science, The University of Hong Kong, supervised by Prof. Chao Huang and Prof. Benjamin C.M. Kao. My research focuses on benchmarks and evaluation, and agent evolution through model-harness co-evolution. At the Qwen Team, Alibaba Group, I worked on the Qwen-DeepResearch system and post-training for coding, skill orchestration, search, and complex game development.

Education

2024 - Present

The University of Hong Kong

Ph.D. Candidate in Computing & Data Science

Advisors: Prof. Chao Huang and Prof. Benjamin C.M. Kao

Research interests: benchmarks and evaluation; agent evolution (model-harness co-evolution).

2020 - 2024

Zhejiang University

B.Eng. in Automation

Advisor: Prof. Wei Jiang

Selected Projects

AgentSpace

Human + Agents. One Team. One Workspace.

Project Page
AgentSpace GitHub stars AgentSpace GitHub forks

Earlier projects: Auto-Deep-Research · ClawWork

Publications

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Post-Training

HELIX: Model-Harness Co-evolution for Recursive Self-Improvement

Tianyu Fan, Chao Huang

ArXiv: 2608.13951

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AutoResearch

DeepInnovator: Triggering the Innovative Capabilities of LLMs

Tianyu Fan, Fengji Zhang, Yuxiang Zheng, Bei Chen, Xinyao Niu, Chengen Huang, Junyang Lin, Chao Huang

ArXiv: 2602.18920

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Benchmarks

AI-Trader: Benchmarking Autonomous Agents in Real-Time Financial Markets

Tianyu Fan, Yuhao Yang, Yangqin Jiang, Yifei Zhang, Yuxuan Chen, Chao Huang

ArXiv: 2512.10971 GitHub stars

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Benchmarks

Understanding DeepResearch Via Reports

Tianyu Fan, Xinyao Niu, Yuxiang Zheng, Fengji Zhang, Chengen Huang, Bei Chen, Junyang Lin, Chao Huang

ArXiv: 2510.07861

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Agent

AutoAgent: Fully-Automated & Zero-Code LLM Agent Framework

Jiabin Tang, Tianyu Fan, Chao Huang

ACL 2026, Findings GitHub stars

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RAG

MiniRAG: Towards Extremely Simple Retrieval-Augmented Generation

Tianyu Fan, Jingyuan Wang, Xubin Ren, Chao Huang

ACL 2026, Main Conference GitHub stars

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Pre-Training

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

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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

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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)

Work Experience

Mar. 2025 - Oct. 2026

Post-Training Researcher, Qwen Team, Alibaba Group

  • Harness: Built the Qwen-DeepResearch system.
  • Post-training: Developed recipes to improve Qwen's coding, skill orchestration, search, and complex game development capabilities.
  • Research: Explored automated post-training, including data evaluation pipelines and the automated construction and iteration of training harnesses and environments.
Dec. 2023 - Feb. 2024

Research Intern, MSRA, Microsoft

Mentors: Dr. Xiao Yang and Dr. Weiqing Liu

Dec. 2022 - Mar. 2023

Research Intern, AI-Net, Zhejiang University

Advisor: Prof. Yang Yang

Jun. 2022 - Nov. 2022

Research Intern, AI Lab, Westlake University

Advisor: Prof. Stan Z. Li

Honors & Awards

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

Service

Program Committee Member: ICML 2026; ICLR 2025, 2024; AAAI 2025; CIKM 2023

Last update: .