Hi! I’m Qiong (pronounced similarly to Chiong if that helps!).
I am currently an assistant professor in the Institute of Statistics and Big Data, Renmin University of China.
🧑🎓 Education
- Ph.D. in Statistics, University of British Columbia, 2022
- M.Sc. in Statistics, University of British Columbia, 2017
- B.Sc. in Statistics, University of Science and Technology of China (School of the gifted young), 2015
I was fortunate to be advised by Professor Jiahua Chen during my graduate studies. Trained as a statistician, I have since ventured into the world of AI, where I explore how data and algorithms can uncover hidden patterns and narratives.
📚 Research Interests
My work bridges statistics and machine learning, with a focus on developing methods that make data a more powerful storyteller. More specifically, my current research explores:
- Mixture reduction with applications to federated learning (JMLR 2022, JRSSB 2026), computer graphics (NeurIPS 2025). See a more detailed description of this research thrust here.
- Empirical likelihood for intelligent federated learning (ICLR 2026), handling label noise (preprint) See a more detailed description of this research thrust here.
- Tabular foundation models and in-context learning for statistical tasks (TabPFN evaluation, TabClustPFN) See a more detailed description of this research thrust here.
I am passionate about addressing real-world problems through statistical and AI-driven approaches, and I believe that data is the most compelling storyteller of all. If you’d like to chat about statistics, AI, or the hidden narratives within your dataset, I’d be delighted to connect!