Publications
You can also find my articles on my Google Scholar profile.
* denotes equal contribution.
In Preparation
Mean Field Games for Randomized Impulse Control
Recommended citation: Haoyang Cao*, Zhouhao Yang*, "Mean Field Games for Randomized Impulse Control." In preparation (2026).
To Appear
Heavy-Tailed Flow Matching via Random Clocks
To appear in NeurIPS, 2026
Recommended citation: Zhouhao Yang*, Yezhen Wang*, Kenji Kawaguchi, Vladimir Braverman, Haoyang Cao, "Heavy-Tailed Flow Matching via Random Clocks." Accepted and to appear in NeurIPS 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.
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.
Published
Statistical Mean Estimation with Coded Relayed Observations
Published in IEEE Transactions on Information Theory, 2026
Recommended citation: Yan Hao Ling, Zhouhao Yang, Jonathan Scarlett, "Statistical Mean Estimation with Coded Relayed Observations." IEEE Transactions on Information Theory, vol. 72, no. 10, pp. 7329–7343, 2026. doi: 10.1109/TIT.2026.3716635.
Unlocking More Granular Control of Memory-Efficient LLM Finetuning
Published in IJCAI, 2026
Recommended citation: Yezhen Wang*, Zhouhao Yang*, Fanyi Pu, Kenji Kawaguchi, "Unlocking More Granular Control of Memory-Efficient LLM Finetuning." Proceedings of the Thirty-Fifth International Joint Conference on Artificial Intelligence (IJCAI-26), pp. 4985–4993, 2026. doi: 10.24963/ijcai.2026/555.
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.
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.
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.
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.