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Very Busy Since Joined USC
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Very Busy Since Joined USC
3.8k followers · 22 following

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@vinogradovkonst

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Achievement: Galaxy BrainAchievement: Starstruckx4Achievement: Arctic Code Vault ContributorAchievement: Pull Sharkx2

Achievements

Achievement: Galaxy BrainAchievement: Starstruckx4Achievement: Arctic Code Vault ContributorAchievement: Pull Sharkx2

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  • Pro

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@pygod-team @Open-Source-ML @USC-FORTIS

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yzhao062/README.md

Hi there, I'm Yue ZHAO (赵越 in Chinese)! 👋

😄 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 2026. 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:

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  1. pyod pyod Public

    A Python Library for Outlier and Anomaly Detection, Integrating Classical and Deep Learning Techniques

    Python 8.7k 1.4k

  2. anomaly-detection-resources anomaly-detection-resources Public

    Anomaly detection related books, papers, videos, and toolboxes

    Python 8.5k 1.8k

  3. Minqi824/ADBench Minqi824/ADBench Public

    Official Implement of "ADBench: Anomaly Detection Benchmark", NeurIPS 2022.

    Python 886 137

  4. USC-FORTIS/AD-LLM USC-FORTIS/AD-LLM Public

    A benchmark for anomaly detection using large language models. It supports zero-shot detection, data augmentation, and model selection, with scripts and data for GPT-4 and Llama experiments.

    Python 2

  5. pygod-team/pygod pygod-team/pygod Public

    A Python Library for Graph Outlier Detection (Anomaly Detection)

    Python 1.4k 128

  6. USC-FORTIS/NLP-ADBench USC-FORTIS/NLP-ADBench Public

    Python 2