Biography

My name is Yue ZHAO (赵越 in Chinese). I am a third-year Ph.D. student at Carnegie Mellon University (CMU), and an ex management consultant at PwC Canada. I have led/participated > 10 ML open-source initiatives, receiving 10,000 GitHub stars (top 0.002%: ranked 900 out of 40M GitHub users) and >400,0000 total downloads. Popular ones:

• [JMLR] PyOD: A Python Toolbox for Scalable Outlier Detection (Anomaly Detection).
• [MLSys] SUOD: An Acceleration System for Large-scale Heterogeneous Outlier Detection (Anomaly Detection).
• TDC: An extensive machine learning data hub for therapeutic tasks (ML for Therapeutic).
• MetaOD: Automatic Unsupervised Outlier Model Selection (Outlier Detection and AutoML).
• PyHealth: A Python Library for Healthcare AI (ML for Healthcare).
• [AAAI] combo: A Python Toolbox for ML Model Combination (Ensemble Learning).
• [AAAI] TODS: Time-series Outlier Detection System. Contributed to core detection model.

I specialize in designing and building machine learning systems (MLSys), with realization and applications in outlier detection, healthcare, graph neural networks, and ensemble learning. My research focuses on the intersection of two fields:

• data mining topics related to outlier detection (anomaly detection)
• machine learning systems that can speed/scale up and automate data mining and machine learning algorithms

At CMU, I work with Prof. Leman Akoglu from DATA Lab on outlier detection, Prof. George H. Chen on general ML and statistics, and Prof. Zhihao Jia from Catalyst on machine learning systems. I am currently visiting Prof. Jure Leskovec at SNAP, Standford University.

Startup and VC: I am interested in capitalizing my expertise in anomaly detection. Let's connect!

General Notes: I am open to ML/DM Internship (2022). Please reach out :)

[#1] I am open to collaboration opportunities (anytime & anywhere) and research internships (summer 2022). I could legally work in United States (CPT), Canada (permanent residency), and China (permanent residency). I have been working with the professionals from both industry and academia (e.g., Stanford, Havard, Facebook).

[#2] Call for review oppt. I am looking for paper review, tutorial, workshop, and talk opportunities (in anomaly detection, scalable ML, machine learning systems, and AutoML).

[#3] I host a WeChat group on anomaly detection (异常检测微信讨论组), along with more than three hundred of researchers (e.g., Berkley, MIT, Tsinghua, etc.) and industry people (e.g., Alibaba, IBM, Facebook, etc.) for collaboration and intern/full-time opportunities. Ping me to join!

[#4] I am a dedicated writer with more than 300 articles (in Chinese) and 160,000 followers on Zhihu (知乎) — Chinese Quora (200 million+ registered users). Since 2018, I have been officially recognized as a “Top Zhihu Writer” (优秀回答者) in four fields (AI, ML, DM, and STAT). My articles have been read by more than 20,000,000 times. See my Zhihu page (微调).