A General Framework for Accurate and Private Mean Estimation
Zhouhao Yang, Xingyu Xu, and Yuantao Gu. "A general framework for accurate and private mean estimation." IEEE Signal Processing Letters 29 (2022): 2293-2297.
CV
Zhouhao Yang’s Curriculum Vitae
Education
- Bachelor of Mathematics and Applied Mathematics (Zhiyuan Honors Program) in Shanghai Jiao Tong University (2019.9-2023.6)
- Ph.D Student of Computer Science at National University of Singapore (2023.8-2024.7)
- Ph.D Candidate of Applied Mathematics and Statistics at the Johns Hopkins University (2024.8-present)
Publications
Distributionally Robust Policy Gradient for Offline Contextual Bandits
Zhouhao Yang, et al. "Distributionally robust policy gradient for offline contextual bandits." International Conference on Artificial Intelligence and Statistics. PMLR, 2023.
Bias-Variance Trade-off in Physics-Informed Neural Networks with Randomized Smoothing for High-Dimensional PDEs
Zheyuan Hu, Zhouhao Yang et al. "Bias-variance trade-off in physics-informed neural networks with randomized smoothing for high-dimensional PDEs." arXiv preprint arXiv:2311.15283 (2023).
Memory-Efficient Gradient Unrolling for Large-Scale Bi-level Optimization
Qianli Shen, Yezhen Wang, Zhouhao Yang, et al. "Memory-Efficient Gradient Unrolling for Large-Scale Bi-level Optimization." arXiv preprint arXiv:2406.14095 (2024).
Statistical Mean Estimation with Coded Relayed Observations
Yan Hao Ling, Zhouhao Yang, and Jonathan Scarlett. "Statistical Mean Estimation with Coded Relayed Observations." arXiv preprint arXiv:2505.09098 (2025).
Memory-Efficient LLM Training by Various-Grained Low-Rank Projection of Gradients
Yezhen Wang, Zhouhao Yang, et al. "Memory-Efficient LLM Training by Various-Grained Low-Rank Projection of Gradients." arXiv preprint arXiv:2505.01744 (2025).