Hi, I’m Meng’en Qin (秦蒙恩), a statistics graduate from Henan University. My research journey began at Henan Engineering Research Center for Artificial Intelligence Theory and Algorithms, where I explored interpretable and theory-guided visual representation learning. Since then, I've also investigated the internal scientific mechanisms of MLLMs/LLMs, particularly their reasoning and hallucination behavior. Going forward, I hope to develop scientific approaches to understand AI models and use these insights to build more interpretable, robust, and reliable models.

Education

HENU
B.S. in Statistics
Sep 2021 ~ Jun 2025, School of Mathematics and Statistics, Henan University, China

Research Experience

SUAT
Research Assistant
Sep 2025 ~ Sep 2026, Shenzhen University of Advanced Technology, China
AITA
Research Intern
Nov 2023 ~ Jun 2025, Henan Engineering Research Center for Artificial Intelligence Theory and Algorithms, China
  • interpretable and theory-guided visual representation learning (work with Prof. Xiaohui Yang)

Service

  • Journal Reviewer for Pattern Recognition, Pattern Recognition Letters
  • Conference Reviewer for ICASSP, NeurIPS

Honors and Awards