DEPARTMENT OF APPLIED MATHEMATICS 77 Email ruijian.han@polyu.edu.hk Qualification BSc (Sichuan University) PhD (The Hong Kong University of Science and Technology) ORCID ID 0000-0002-9225-2218 Dr HAN Ruijian Assistant Professor Research Overview My research interests span ranking data analysis, high-dimensional statistics, online inference and reinforcement learning. My current research mainly focuses on three aspects: (1) Analysing the ranking data in large-scale networks and investigating the performance of the comparison model based on the maximum likelihood estimation (2) Developing the asymptotic theory in high-dimensional models and the corresponding testing procedure for the general hypotheses over the parameter space (3) Designing the online algorithm to construct the confidence interval estimates for parameters of interest under the framework of streaming data and reinforcement learning Representative Publications • Lin, Y., Xie, J., Han, R. and Tang, N. (2023). Post-selection Inference of High-dimensional Logistic Regression under Case-control Design. J. Bus. Econ. Stat., 41, 624-635 • Han, R., Xu, Y. and Chen, K. (2022). A General Pairwise Comparison Model for Extremely Sparse Networks. J. Amer. Statist. Assoc., accepted • Han, R., Ye, R., Tan, C. and Chen, K. (2020). Asymptotic Theory of Sparse Bradley-Terry Model. Ann. Appl. Probab., 30, 2491-2515 • Han, R., Chen, K. and Tan, C. (2020). Curiosity-Driven Recommendation Strategy for Adaptive Learning via Deep Reinforcement Learning. Br. J. Math. Stat. Psychol., 73, 522-540 Achievements • Statistical Analysis of Ranking Data in Large-scale Networks, GRF, the Research Grants Council of Hong Kong, Jan 2022Dec 2024 • Hong Kong PhD Fellowship, the Research Grants Council of Hong Kong, Aug 2016-Aug 2020 Online interval estimates from our two algorithms
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