Ziyu Li

PhD Candidate of Computer Science

Delft University of Technology

About me

I am a PhD student at the Web Information Systems group, Department of Software Technology, Faculty of EEMCS, Delft University of Technology. The PhD project belongs to the HyperEdge project with Cognizant. I’m supervised by Alessandro Bozzon and Asterios Katsifodimos. My research lies at the intersection of Machine Learning and data analysis. In particular, my reserach investigates how to apply metadata of different artifacts (e.g., model, data, hardware settings) to improve the effectiveness and efficiency of machine learning workflows.

Interests

Artificial Intelligence
Metadata management
ML workflow optimization

Education

MSc Computer Science, 2019
Delft University of Tehcnology
BSc in Computer Science, 2017
South China University of Technology

Recent Publications

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Ziyu Li, Henk Kant, Rihan Hai, Asterios Katsifodimos, Alessandro Bozzon (2023). Macaroni: Crawling and Enriching Metadata from Public Model Zoos.

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Ziyu Li, Mariette Schönfeld, Wenbo Sun, Marios Fragkoulis, Rihan Hai, Alessandro Bozzon, Asterios Katsifodimos (2023). Optimizing machine learning inference queries for multiple objectives. In ICWE.

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Rihan Hai, Christos Koutras, Andra Ionescu, Ziyu Li, Wenbo Sun, Jessie Van Schijndel, Yan Kang, Asterios Katsifodimos (2023). Amalur: Data Integration Meets Machine Learning.

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Xiu-Xiu Zhan, Ziyu Li, Naoki Masuda, Petter Holme, Huijuan Wang (2020). Susceptible-infected-spreading-based network embedding in static and temporal networks.

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