Ph.D. in Data Science, City University of Hong Kong (2019 - 2023)

B.S. in Mathematics, Sun Yat-sen University (2015 - 2019)

Yaoming Zhen is an Assistant Professor in the School of Data Science at The Chinese University of Hong Kong, Shenzhen. Before joining CUHK-Shenzhen, he served as a Postdoctoral Fellow in the Department of Statistical Sciences at the University of Toronto, where he was mentored by Elena Tuzhilina, Piotr Zwiernik, and Qiang Sun. Yaoming was a Hong Kong PhD Fellowship Scheme (HKPFS) awardee and earned his Ph.D. in Data Science from the City University of Hong Kong in 2023, under the supervision of Junhui Wang. He obtained a B.S. in Mathematics from the Yat-sen School and the School of Mathematics at Sun Yat-sen University in 2019. Additionally, he visited the University of California, Berkeley, from the fall of 2022 to the spring of 2023 and also in the spring of 2018, serving as a visiting student researcher and participating in the Berkeley International Study Program, respectively. Dr. Zhen’s research primarily focuses on tensor-based statistical machine learning, which further links to counterfactual inference, counting processes, differential privacy, graphical models, high-order network modeling, and transfer learning.

1. Zhen, Y., Xu, S., & Wang, J. (2025+). Consistent community detection in multi-layer networks with heterogeneous differential privacy. Statistica Sinica. 

2. Zhen, Y., & Du, J. (2025+). Network-based neighborhood regression. Journal of the American Statistical Association.

3. Ren, M., Zhen, Y., & Wang, J. (2024). Transfer learning for tensor Gaussian graphical model. Journal of Machine Learning Research. 25(396): 1-40, 2024.

4. Zhen, Y. & Wang, J. (2024). Non-negative tensor completion for dynamic counterfactual prediction on COVID-19 pandemic. Annals of Applied Statistics. 18(1), 224-245.

5. Wang, M., Zhen, Y., Pan, Y., Xu, Z., Guo, R., & Zhao, X. (2024). Tensorized hypergraph neural networks. SIAM International Conference on Data Mining. (pp. 127-135). Society for industrial and applied mathematics.

6. Zhen, Y., & Wang, J. (2023). Community detection in general hypergraph via graph embedding. Journal of the American Statistical Association, 118(543):1620-1629.

7. Xu, S., Zhen, Y., & Wang, J. (2023). Covariate-assisted community detection in multi-layer networks. Journal of Business & Economic Statistics. 41(3), 915-926.