Ph.D. Student at Carnegie Mellon University
Xiyang Hu is a Ph.D. student at Carnegie Mellon University. His research focuses on: 1. the design of Machine Learning models to facilitate decision-making in various application domains; and 2. the understanding of the social impacts of AI and digital platforms.
Zheng Li, Yue Zhao, Nicola Botta, Cezar Ionescu, Xiyang Hu (2020). COPOD: Copula-Based Outlier Detection. IEEE International Conference on Data Mining (ICDM).
Xiyang Hu, Cynthia Rudin, Margo Seltzer (2019). Optimal sparse decision trees. In Advances in Neural Information Processing Systems (NeurIPS).