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Yue Zhao

Yue Zhao


Ph.D. Student

Yue Zhao is pursuing a Ph.D. in Machine Learning and Information Systems at the Heinz College of Information Systems and Public Policy.

I am on the market with expected graduation in Summer 2023. I am broadly interested in machine learningdata mining and science, and information science and systems positions. I can work in the U.S., Canada, and China without sponsorship; please reach out if you have an open opportunity in either academia or industry! Contact me by Email (zhaoy [AT] cmu.edu) or WeChat (微信) @ yzhao062.

I am a 4-th year Ph.D. student at Carnegie Mellon University (CMU). Before joining CMU, I earned my Master degree from University of Toronto (2016) and Bachelor degree from University of Cincinnati (2015), and worked as a senior consultant at PwC Canada (2016-19). I am an expert on anomaly detection (a.k.a outlier detection) algorithms, systems, and its applications in security, healthcare, and Finance, with more than 7-year professional experience and 20+ papers (in JMLR, TKDE, NeurIPS, etc.). I appreciate the support from Norton Labs Graduate Fellowship.

At CMU, I work with Prof. Leman Akoglu, Prof. Zhihao Jia, and Prof. George H. Chen. I am a member of Data Analytics Techniques Algorithms (DATA) Lab and CMU automated learning systems group (Catalyst). Externally, I collaborate with Prof. Jure Leskovec at Stanford, Prof. Xia “Ben” Hu at Rice University, and Prof. Philip S. Yu at UIC.

Contributions to outlier detection systems, benchmarks, and applications: I build automated, scalable, and accelerated machine learning systems (MLSys) to support large-scale, real-world outlier detection applications in security, finance, and healthcare with millions of downloads. I designed CPU-based (PyOD), GPU-based (TOD), distributed detection systems (SUOD) for tabular (PyOD), time-series (TODS), and graph data (PyGOD). To understand the characteristics of OD algorithms, I co-author large-scale benchmarks for tabular data (ADBench), time-series data (paper), and graph data (UNOD). My work has been widely used by thousands of projects and applications, including firms like IBM, Morgan Stanley, and Tesla. See more applications.

Contact me by Email (zhaoy [AT] cmu.edu) or WeChat (微信) @ yzhao062.

Publications


Additional Information