Academic Background
Ph.D. in Mathematics (Hong Kong University of Science and Technology)
B.S. in Applied Mathematics and Pure Mathematics (Sichuan University)
Research Interest
Publication
In the author list, * represents equal contribution; and † represents the corresponding author.
- Tan, C., Han, R., Ye, R. and Chen, K. (2020). Adaptive Learning Recommendation Strategy Based on Deep Q-learning, Applied psychological measurement, 44(4), 251-266.
- Han, R., Chen, K. and Tan, C. (2020). Bivariate Gamma Model, Journal of Multivariate Analysis, 180, 104666.
- Han, R., Chen, K. and Tan, C. (2020). Curiosity‐driven Recommendation Strategy for Adaptive Learning via Deep Reinforcement Learning, British Journal of Mathematical and Statistical Psychology, 73(3), 522-540.
- Han, R., Ye R., Tan, C. and Chen, K. (2020). Asymptotic Theory of Sparse Bradley–Terry Model. The Annals of Applied Probability, 30(5), 2491-2515.
- Lin, Y.*, Xie, J.*, Han, R.* and Tang N. (2022). Post-selection Inference of High-dimensional Logistic Regression under Case-control Design. Journal of Business and Economics Statistics, accepted.
- Han, R.†, Xu, Y. and Chen, K. (2022). A General Pairwise Comparison Model for Extremely Sparse Networks. Journal of the American Statistical Association, accepted.
- Han, R., Osting, B., Wong, D. and Xu, Y. (2022). Probabilistic Methods for Approximate Archetypal Analysis. Information and Inference: a Journal of the IMA, accepted.
Research Grants
- 2022.1-2024.12, Hong Kong RGC GRF 14301821
Professional Services
- Referee for Biometrika, Statistica Sinica and Statistics & Probability Letters.