Hi there, I'm Yue ZHAO (赵越 in Chinese)! 👋
😄 I am an Assistant Professor at USC Computer Science; see more information at my homepage.
Prospective Students. I am peacefully welcoming prospective Ph.D. students (apply by Dec 15th for Fall 24 admission; full financial support) and research interns. You are expected to have one published top paper on my research topics (current focus includes anomaly/outlier/OOD detection, Auto ML, and Multimodal Learning) and strong programming skills (such as (ML) System papers and/or open-source experience) for open-source ML and/or systems. See more at my homepage
🌱 My research: I build fast, automated, and open machine learning (ML) and data mining (DM) systems, with a focus on but not limited to anomaly detection, graph neural networks, and healthcare for AI.
- Accelerate large-scale learning tasks by leveraging ML systems techniques.
- Automate unsupervised ML by model selection and hyperparameter optimization.
- Develop open-source ML tools to support applications in healthcare, finance, and security.
Ph.D. time. At CMU, I work with Prof. Leman Akoglu for automated ML, Prof. Zhihao Jia for machine learning systems, and Prof. George H. Chen for general ML. I am a member of CMU automated learning systems group (Catalyst) and Data Analytics Techniques Algorithms (DATA) Lab. I have collaborated with Prof. Jure Leskovec at Stanford and Prof. Philip S. Yu at UIC.
⚡ Open-source Contribution: I have led or contributed as a core member to more than 10 ML open-source initiatives, receiving 15,000 GitHub stars (top 0.002%: ranked 800 out of 40M GitHub users) and >20,000,000 total downloads.
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