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.