About Me

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Hello! 好呀 ~ こんにちは!

Hello! I am a passionate data scientist and researcher with a strong interest in machine learning, data analysis, and artificial intelligence. I am currently pursuing my Master of Science in Data Science at University of California San Diego. Previously, I was a visiting student at Stanford University, where I was fortunate to be advised by Prof. Yejin Choi and Prof. James Zou.

My research experienced image restoration, continual learning, out-of-distribution generalization, agentic LLMs. I enjoy solving complex problems and developing innovative solutions that leverage the power of data.

Right now I'm exploiring intellegent decision. I'm looking forward to communicating up-to-date new inspirations!

 Education

University of California San Diego

Master of Science in Data Science (Expected)

09/2025 - 06/2027

Shanghai University

Bachelor of Engineering in Data Science & Big Data Technology

09/2021 - 06/2025

Hong Kong University of Science and Technology

Summer Session - Data & Computer Science

08/2024

University of Pennsylvania, Wharton School

Wharton Innovation, Entrepreneurship and Leadership Program & The Global Leadership Program for Young Scholars.

07/2023 - 08/2023

 Selected Publications

arXiv 2026
OpenResearcher Preview

OpenResearcher: A Fully Open Pipeline for Long-Horizon Deep Research Trajectory Synthesis

Zhuofeng Li*Equal contribution, Dongfu Jiang*Equal contribution, Haoxiang Zhang, and 7 more authors

GitHub ⭐
bioRxiv 2026
Eubiota Preview

Eubiota: Modular Agentic AI for Autonomous Discovery in the Gut Microbiome

Pan Lu*Equal contribution, Yifan Gao*Equal contribution, Haoxiang Zhang, and 12 more authors

GitHub ⭐
ICLR 2026 Oral & NIPS 2025 ER Workshop
AgentFlow Preview

In-the-Flow Agentic System Optimization for Effective Planning and Tool Use

Zhuofeng Li*Equal contribution, Haoxiang Zhang*Equal contribution, Pan LuCorresponding author, and 5 more authors

Hugging Face Daily Paper #2 GitHub ⭐
TMLR
PromptOOD Preview

Avoiding Structural Pitfalls: Self-Supervised Low-Rank Feature Tuning for Graph Test-Time Adaptation

Haoxiang Zhang, Zhuofeng Li, Shichao PeiCorresponding author, and 3 more authors

CIKM 2024
CFKGC Preview

Learning from Novel Knowledge: Continual Few-shot Knowledge Graph Completion

Zhuofeng Li*Equal contribution, Haoxiang Zhang*Equal contribution, Shichao PeiCorresponding author, and 2 more authors

Long-term Collaboration

Lambda, Inc.

Student credit grant, Lambda Platform GPU inference service, and agentic AI research.

CocoaBench Team

CocoaBench Preview

Collaborative research with the CocoaBench team on multimodal evaluation and benchmarking.

Shanghai Tongliang Intelligent Technology Co., Ltd.

Research Consultant (Permanent) & Chief Scientist (04/2025 – 06/2025). Developed and validated Multi-Agent Adversarial (MAA) strategies for medium-frequency quantitative trading across futures, options, crypto, and equities.

 Industrial Internship

Shanghai Artificial Intelligence Labotary

Multimodal Unified Auto-regressive Generation.

View Detail [Lumina-mGPT]

08/2024 - 02/2025

Bank of Communications, Shanghai Branch

Intern, Internet Finance Team & Data Application Team. Decentralized Finance.

07/2024

FASOTEC Co., Ltd.

Technical Assistant. Server Hardware & CATIA Software.

08/2023 - 10/2023

© 2024 Isaac_GHX

Data Scientist | Researcher | Engineer