Scholar
Ruijia Zhang
Google Scholar ID: gBhh93cAAAAJ
Johns Hopkins University, Department of Applied Mathematics and Statistics
Citations & Impact
Citations
3
H-index
1
i10-index
0
Publications
3
Co-authors
9
list available
Contact
No contact links provided.
Publications
Resume (English only)
Academic Achievements
- Publications: 'POLAR: A Pessimistic Model-based Policy Learning Algorithm for Dynamic Treatment Regimes', Major Revision at Journal of the American Statistical Association (JASA); 'Understanding Inverse Reinforcement Learning under Overparameterization: Non-Asymptotic Analysis and Global Optimality', AISTATS 2025; 'Improved Rates of Differential Private Nonconvex Strongly Concave Minimax Optimization via Gradient Differences', AAAI 2025. Awards: International Conference on Continuous Optimization (ICCOPT) 2025 Student Grant.
Research Experience
- PhD Candidate, Department of Applied Mathematics and Statistics, Johns Hopkins University; Graduate Teaching Assistant, JHU for Data Science Methods for Large-Scale Graphs (Spring 2025) and Investment Science (Fall 2024&2025); Undergraduate Student Teaching Fellow, CUHK(SZ) for Ordinary Differential Equations (Spring 2024) and Optimization (Fall 2023). Ongoing works include 'Random Matrix Makes LoRA More Efficient' and 'Learning Optimal Robust Policies under Observational Data with Causal Transport'.
Education
- PhD, Applied Mathematics & Statistics, Johns Hopkins University, Aug 2024 – Present; BSc (First Class Honors), Mathematics & Applied Mathematics, The Chinese University of Hong Kong, Shenzhen, Sept 2020 – May 2024; Exchange Program, Mathematics, Technical University of Munich, Apr 2023 – Aug 2023.
Background
- Research Interests: applied probability, optimization, and reinforcement learning; particularly focused on LLM Alignment and Diffusion Models. Professional Field: Applied Mathematics & Statistics.
Miscellany
- Contact Information: rzhan127@jh.edu; Google Scholar profile link provided.
