Jiayu Zhou is an assistant professor at Department of Computer Science and Engineering, Michigan State University. Before joining MSU, Jiayu was a staff research scientist at Samsung Research America. Jiayu received his Ph.D. degree in computer science at Arizona State University in 2014. Jiayu has a broad research interest in large-scale machine learning and data mining, and biomedical informatics.
Ph.D. Arizona State University 2014
Learning Model-Based Privacy Protection under Budget Constraints. Junyuan Hong, Haotao Wang, Zhangyang Wang, and Jiayu Zhou. Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence (AAAI 2021), 2021
Off-Policy Imitation Learning from Observations. Zhuangdi Zhu, Kaixiang Lin, Bo Dai, and Jiayu Zhou. Proceedings of the Thirty-fourth Annual Conference on Neural Information Processing Systems (NeurIPS 2020), 2020
Model-Protected Multi-Task Learning. Jian Liang, Ziqi Liu, Jiayu Zhou, Xiaoqian Jiang, Changshui Zhang, and Fei Wang. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2020
Ranking Policy Gradient. Kaixiang Lin and Jiayu Zhou. Proceedings of the Eighth International Conference on Learning Representations (ICLR 2020)
Scalable diagnostic screening of mild cognitive impairment using AI dialogue agent. Fengyi Tang, Ikechukwu Uchendu, Fei Wang, Hiroko H. Dodge, Jiayu Zhou. Nature - Scientific Report, 2020.