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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.
Memory-Efficient Gradient Unrolling for Large-Scale Bi-level Optimization
Published in Neurips, 2024
Recommended citation: Qianli Shen, Yezhen Wang, Zhouhao Yang, Xiang Li, Haonan Wang, Yang Zhang, Jonathan Scarlett, Zhanxing Zhu, Kenji Kawaguchi, "Memory-Efficient Gradient Unrolling for Large-Scale Bi-level Optimization." The Thirty-Eighth Annual Conference on Neural Information Processing Systems, 2024.
Bias-Variance Trade-off in Physics-Informed Neural Networks with Randomized Smoothing for High-Dimensional PDEs
Published in SIAM Journal on Scientific Computing, 2025
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.
Statistical Mean Estimation with Coded Relayed Observations
To appear in IEEE Transactions on Information Theory, 2025
Recommended citation: Yan Hao Ling, Zhouhao Yang, Jonathan Scarlett, "Statistical Mean Estimation with Coded Relayed Observations." To appear in IEEE Transactions on Information Theory, 2025.
A Two-fold Randomization Framework for Impulse Control Problems
To appear in SIAM Journal on Control and Optimization, 2026
Recommended citation: Haoyang Cao*, Yuchao Dong*, Zhouhao Yang*, "A Two-fold Randomization Framework for Impulse Control Problems." To appear in SIAM Journal on Control and Optimization, 2026.
Training-Free versus Training-Based Intent Classification in LLMs: Accuracy, Robustness, and Failure Modes
To appear in COLM, 2026
Recommended citation: Zhouhao Yang*, Nan Chen*, Soufiane Hayou, "Training-Free versus Training-Based Intent Classification in LLMs: Accuracy, Robustness, and Failure Modes." To appear in COLM 2026.
Mean Field Games for Randomized Impulse Control
Recommended citation: Haoyang Cao*, Zhouhao Yang*, "Mean Field Games for Randomized Impulse Control." In preparation (2026).
Unlocking More Granular Control of Memory-Efficient LLM Finetuning
To appear in IJCAI, 2026
Recommended citation: Yezhen Wang*, Zhouhao Yang*, Fanyi Pu, Kenji Kawaguchi, "Unlocking More Granular Control of Memory-Efficient LLM Finetuning." To appear in IJCAI 2026.
Heavy-Tailed Flow Matching via Random Clocks
Submitted to NeurIPS, 2026
Recommended citation: Zhouhao Yang, Yezhen Wang, Kenji Kawaguchi, Vladimir Braverman, Haoyang Cao, "Heavy-Tailed Flow Matching via Random Clocks." Under review at NeurIPS 2026.
talks
Talk 1 on Relevant Topic in Your Field
Published:
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
Published:
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 (EN.553.385)
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.
TA for Nonlinear Optimization (I) (EN.553.761)
Graduate course, Department of Applied Mathematics and Statistics, Johns Hopkins University, Fall 2025
As a teaching assistant for Nonlinear Optimization (I), I assist with course instruction, answer students’ questions, and grade assignments and exams.