About Me

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Haoxiang Zhang 张灏翔

Intelligence is born of bounded stochasticity.

Hello! 好呀 ~ こんにちは!안녕 ~

Hello! I am a passionate data researcher focusing on data centric AI. I am currently pursuing my Master of Science in Data Science at UC 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. Right now I'm exploring intelligent decision-making. Looking forward to discussing new inspirations!

 Education

UC San Diego icon University of California San Diego

Master of Science in Data Science (Expected)

09/2025 - 06/2027

Shanghai University logo Shanghai University

Bachelor of Engineering in Data Science & Big Data Technology

09/2021 - 06/2025

HKUST icon Hong Kong University of Science and Technology

Summer Session - Data & Computer Science

08/2024

The Wharton School icon 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
Masking Stale Observations Preview

Masking Stale Observations Helps Search Agents – Until It Doesn't: A Regime Map and Its Mechanism

Haoxiang Zhang*Equal contribution, Qixin Xu*Equal contribution, Yu ZhangCo-senior author, Julian McAuleyCo-senior author, and 3 more authors

GitHub ⭐
arXiv 2026
DCI Preview

Beyond Semantic Similarity: Rethinking Retrieval for Agentic Search via Direct Corpus Interaction

Zhuofeng Li, Haoxiang Zhang, Dongfu JiangCorresponding author, Yu ZhangCorresponding author, and 15 more authors

Hugging Face Daily Paper #1 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, James ZouCorresponding author, Pan LuCorresponding author, and 5 more authors

Hugging Face Daily Paper #2 GitHub ⭐
arXiv 2026
OpenResearcher Preview

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

Hugging Face Daily Paper #2 Adopted by NVIDIA's Nemotron family of models
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

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