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portfolio
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publications
A General Framework for Accurate and Private Mean Estimation
Published in IEEE Signal Processing Letters, 2022
Recommended citation: Zhouhao Yang, Xingyu Xu, and Yuantao Gu. "A general framework for accurate and private mean estimation." IEEE Signal Processing Letters 29 (2022): 2293-2297.
Distributionally Robust Policy Gradient for Offline Contextual Bandits
Published in AISTATS, 2023
Recommended citation: 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
Published in SIAM Journal on Scientific Computing, 2023
Recommended citation: Zheyuan Hu*, Zhouhao Yang*, Yezhen Wang*, George Em Karniadakis, Kenji Kawaguchi, "Bias-variance trade-off in physics-informed neural networks with randomized smoothing for high-dimensional PDEs." SIAM Journal on Scientific Computing 47.4 (2025): C846-C872.
Memory-Efficient Gradient Unrolling for Large-Scale Bi-level Optimization
Published in Neurips, 2024
Recommended citation: 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
Published in IEEE Transactions on Information Theory (under review), 2025
Recommended citation: 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
Published in Neurips (under review), 2025
Recommended citation: Yezhen Wang*, Zhouhao Yang*, et al. "Memory-Efficient LLM Training by Various-Grained Low-Rank Projection of Gradients." arXiv preprint arXiv:2505.01744 (2025).
talks
Talk 1 on Relevant Topic in Your Field
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This is a description of your talk, which is a markdown files that can be all markdown-ified like any other post. Yay markdown!
Conference Proceeding talk 3 on Relevant Topic in Your Field
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This is a description of your conference proceedings talk, note the different field in type. You can put anything in this field.
teaching
TA for Introduction to Computational Mathematics
Undergraduate course, Department of Applied Mathematics and Statistics, Johns Hopkins University, Fall 2024 and Spring 2025
As a teaching assistant for Introduction to Computational Mathematics, I assist with lectures, teach discussion sessions, and grade assignments and exams.
Instructor of Probability Theory at MSE Orientation 2025
Graduate course, Department of Applied Mathematics and Statistics, Johns Hopkins University, Summer 2025
As the instructor for Probability Theory during the MSE Orientation program, I was responsible for preparing and delivering lectures, leading discussions, and designing assignments to support incoming graduate students in Applied Mathematics and Statistics.