Biography

Guanhua Huang (黄冠华) is a Ph.D. candidate in University of Science and Technology of China (USTC), advised by Prof. Weinan E and Prof. Zhouwang Yang. Previously, he got a Bachelor in Mathematics from University of Science and Technology of China (USTC), advised by Prof. Zhouwang Yang. He did internships at BIBDR and ByteDance, and mentored by Prof. Yucheng Yang, Dr. Yi Zhang, Dr. Jiaze Chen, Dr. Yuchen Zhang, and Dr. Yuan Lin.

Interests
  • LLM Agents
  • NLP Applications
  • Scholarly Document Processing
  • Big Data in Economics
Education
  • Ph.D. in Data Science, 2019-2025

    School of Artificial Intelligence and Data Science, University of Science and Technology of China

  • B.S. in Mathematics, 2015-2019

    School of the Gifted Young, University of Science and Technology of China

Experience

 
 
 
 
 
ByteDance Research
Research Intern
ByteDance Research
January 2022 – Present Beijing, China
Mentored by Dr. Jiaze Chen and Dr. Yuchen Zhang, working on LLM Research and Information Extraction Research.
 
 
 
 
 
Peking University
Visiting Scholar
Peking University
July 2021 – Present Beijing, China
Advised by Prof. Weinan E, working on LLM Research, Information Extraction Research and AI4Science Research.
 
 
 
 
 
Beijing Institute of Big Data Research
Intern
Beijing Institute of Big Data Research
January 2019 – December 2021 Beijing, China
Advised by Dr. Yi Zhang, working on research and projects of Big Data in Economics.
 
 
 
 
 
Peking University
Visiting Scholar
Peking University
January 2019 – January 2020 Beijing, China
Advised by Prof. Weinan E and Prof. Yucheng Yang, working on Economic Data Science Research.

Recent Publications

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(2025). PaSa: An LLM Agent for Comprehensive Academic Paper Search. Arxiv.

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(2024). Improving Generalization and Convergence by Enhancing Implicit Regularization. In Neural Information Processing Systems 37 (NeurIPS 2024).

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(2024). AGILE: A Novel Framework of LLM Agents. In Neural Information Processing Systems 37 (NeurIPS 2024).

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(2024). Are AI-Generated Text Detectors Robust to Adversarial Perturbations?. In The 62th Annual Meeting of the Association for Computational Linguistics (ACL 2024).

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(2024). Towards document-level event extraction via Binary Contrastive Generation. In Knowledge-Based Systems (KBS 2024).

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