About Me
Haoxiang Zhang 张灏翔
Hello! 好呀 ~ こんにちは！
Hello! I am a passionate data researcher with a strong interest in data centric AI. I am currently pursuing my Master of Science in Data Science @ the University of California San Diego. I now work closely with Prof. Julian McAuley's lab @ UCSD and Prof. Yu Zhang's lab @ Texas A&M University. Previously, I was a visiting student @ Stanford University, working with Dr. Pan Lu, where I was fortunate to be advised by Prof. Yejin Choi and Prof. James Zou.
My research experienced computer vision, continual learning, out-of-distribution generalization, and 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
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
In-the-Flow Agentic System Optimization for Effective Planning and Tool Use
Zhuofeng Li*Equal contribution, Haoxiang Zhang*Equal contribution, James Zou✝Corresponding author, Pan Lu✝Corresponding author, and 5 more authors
OpenResearcher: A Fully Open Pipeline for Long-Horizon Deep Research Trajectory Synthesis
Zhuofeng Li*Equal contribution, Dongfu Jiang*Equal contribution, Xueguang Ma, Haoxiang Zhang, and 6 more authors
GitHub ⭐
Avoiding Structural Pitfalls: Self-Supervised Low-Rank Feature Tuning for Graph Test-Time Adaptation
Haoxiang Zhang, Zhuofeng Li, Shichao Pei✝Corresponding author, and 3 more authors
Learning from Novel Knowledge: Continual Few-shot Knowledge Graph Completion
Zhuofeng Li*Equal contribution, Haoxiang Zhang*Equal contribution, Shichao Pei✝Corresponding author, and 2 more authors
Long-term Collaboration
Industrial Internship
Shanghai Artificial Intelligence Labotary
Multimodal Unified Auto-regressive Generation.
View Detail [Lumina-mGPT]08/2024 - 02/2025