Haiyun He
Scholar

Haiyun He

Google Scholar ID: WlJk69QAAAAJ
Assistant Professor, Hong Kong University of Science and Technology (Guangzhou)
information theorymachine learning theorystatistical learning theory
Citations & Impact
All-time
Citations
295
 
H-index
6
 
i10-index
4
 
Publications
12
 
Co-authors
12
list available
Resume (English only)
Academic Achievements
  • Paper 'Distributional Information Embedding: A Framework for Multi-bit Watermarking' accepted by Asia Pacific Workshop on Data Science and Information Theory (APWDSIT); Paper 'Theoretically Grounded Framework for LLM Watermarking: A Distribution-Adaptive Approach' accepted by NeurIPS 2025; Paper 'Information-Theoretic Generalization Bounds for Deep Neural Networks' published in IEEE Transactions on Information Theory.
Research Experience
  • Currently an Assistant Professor in the Internet of Things (IoT) Thrust at the Hong Kong University of Science and Technology (Guangzhou) and a Cross-Campus Faculty Affiliate at HKUST. Previously a postdoc at the Center for Applied Mathematics at Cornell University.
Education
  • PhD in Electrical and Computer Engineering from National University of Singapore in Sep. 2022, advised by Prof. Vincent Y. F. Tan; Postdoc at the Center for Applied Mathematics at Cornell University, working with Prof. Ziv Goldfeld from ECE and Prof. Christina Lee Yu from ORIE, funded by the Center for Applied Mathematics postdoctoral fellowship.
Background
  • Research interests lie in the intersection of information theory and machine learning, including but not limited to: machine learning and statistical learning theory, hypothesis testing, inference and estimation, wireless communications. Currently an Assistant Professor in the Internet of Things (IoT) Thrust at the Hong Kong University of Science and Technology (Guangzhou).
Miscellany
  • 'Stay hungry. Stay foolish.' &&& Love yourself 💖