Feng Zhou
Scholar

Feng Zhou

Google Scholar ID: s-fkBzEAAAAJ
Associate Professor, Renmin University of China
statistical machine learningBayesian methodstochastic processAI for science
Citations & Impact
All-time
Citations
899
 
H-index
11
 
i10-index
12
 
Publications
20
 
Co-authors
35
list available
Resume (English only)
Academic Achievements
  • Serves as an Area Chair or Senior Program Committee Member for multiple international conferences (e.g., AAAI, NeurIPS, ICLR, AISTATS, PAKDD, IJCAI, IJCNN) and is on the editorial board of several top journals (e.g., JMLR, Statistics and Computing). Published numerous papers in prestigious conferences such as AAAI, NeurIPS, KDD, and ICASSP.
Research Experience
  • Conducted postdoctoral research at Tsinghua University with Professor Jun Zhu. Currently, an Associate Professor at the School of Statistics, Renmin University of China.
Education
  • Received a Bachelor's degree in Electrical Engineering from Beijing Forestry University; completed a Master's degree at the Institute of Electrical Engineering, Chinese Academy of Sciences, co-supervised by Researcher Yinming Dai and Qiuliang Wang; earned a Ph.D. from the University of New South Wales, co-supervised by Professor Arcot Somya and Fang Chen.
Background
  • Research interests include statistical machine learning, stochastic processes, Bayesian methods, and AI4science applications. Specializes in Gaussian Process, Point Process, Bayesian Nonparametric, Markov chain Monte Carlo, Variational Inference, Fairness, Transfer Learning, Meta Learning, Federated Learning, Deep Generative Models, and Large Foundation Models.
Miscellany
  • Always looking for smart, disciplined, and self-driven students. Particularly welcomes those with a strong interest in generative models and large language models. Long-term recruitment of research interns.