😄 I am an Assistant Professor at USC Computer Science; see the latest information at my homepage.

Prospective Students. We are seeking to recruit 2 Ph.D. students for Fall 2025. Applicants are required to have at least one paper published in a top ML, System, or LLM conference. We also have openings for undergraduate and graduate interns, both from USC and other institutions. For all positions, please complete this Google Form: Application Form. Additionally, Ph.D. candidates are required to email me directly after submitting the form. See details at my homepage.

🌱 Research Interests. My research is centered on the development of robust, efficient, and automated machine learning (ML) algorithms, systems, and applications. My key areas of focus include:

1. Robust and Trustworthy AI: Enhancing AI systems with capabilities in out-of-distribution (OOD) detection, outlier detection (OD), and anomaly detection to improve reliability and trust.

2. Efficient and Automated AI: Developing ML systems that operate with minimal human supervision, optimizing for performance and automation.

3. AI for Applications and Science: Applying AI technologies to solve complex problems in fields such as drug discovery, security, finance, healthcare, and political science.

4. Foundation Models and Generative AI for OD/OOD: Investigating the interplay between OD/OOD and advanced models like large language models (LLMs), enhancing both fields.

⚡ Open-source Contribution: I created PyOD (used by NASA, Tesla, Morgan Stanley, and more) - the most popular library for anomaly detection in 2017. Also, I have led more than 10 ML open-source initiatives, receiving 20,000 GitHub stars (top 0.002%) and >22M downloads. Popular ones: PyOD, PyGOD, TDC, ADBench

📫 Contact me by:

• Email (yzhao010 [AT] usc.edu)
• Twitter
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• Homepage