I obtained my Ph.D. degree from the University of Chinese Academy of Sciences (UCAS) and the Institute of Information Engineering, Chinese Academy of Sciences (IIE CAS) in 2025, under the supervision of Prof. Songlin Hu. I completed my bachelor’s degree at Shenzhen University and my master’s degree at the National Computer System Engineering Research Institute of China (a joint program with UCAS). Prior to my Ph.D. studies, I worked as an Algorithm Researcher at Ping An of China.

My research interests include natural language processing and machine learning. My research goal is to develop more intelligent, efficient, and trustworthy AI systems for language understanding and generation. To achieve this, I am currently focused on general representation learning to enhance language models’ generalization, robustness, trustworthiness, and safety, particularly in representation learning theory and trustworthy large language models (LLMs).

Concat: hudou [AT] iie.ac.cn

Research Interests

• Machine Learning for NLP
  • Information-theoretic Representation Learning
  • Probabilistic Methods & Causal Reasoning
  • Generalization & Robustness of Language Models
• Representation Learning for Trustworthy LLMs
  • Truthfulness, Safety, Fairness of LLMs
  • Societal Considerations of LLM Representations
• NLP Applications: Social Media Analysis and AI Safety
  • Sentiment & Emotion Analysis
  • Content Moderation & Safety