Short Bio

Chunwei Liu is a Postdoctoral Associate at MIT CSAIL working with Michael Cafarella. He got his Ph.D. from Department of Computer Science at the University of Chicago, where he worked in ChiData group advised by Aaron Elmore. His research interests span compound AI systems, database systems, cloud/edge computing, and database benchmarking. He focuses on integrating AI-powered analytics with database-style optimization. His work also includes developing privacy-preserving workload generation techniques for benchmarking cloud database systems. Additionally, he explores novel data compression methods for data systems and implements adaptive compression selection in both conventional and resource-constrained databases and machine learning systems. Furthermore, he is engaged in high-dimensional data analysis, with a particular emphasis on time series applications.

Publications

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Professional Contributions

Professional Services

• Program Committee of SIGMOD'25, VLDB'24-25, KDD'2023, SMDB'2023

• Reviewer of The International Journal on Very Large Data Bases (VLDBJ)

• SIGMOD Availability & Reproducibility Committee 2022, 2023

Awards

• GUIDEAI@SIGMOD Best Paper Award 2024

• VLDB Best Paper Runner-Up 2023

• University Unrestricted Fellowship 2019

Teaching Assistant

• CMSC 23500 Introduction to Databases 2021, 2020, 2019 Winter, University of Chicago

• CMSC 15200 Introduction to Computer Science II 2017 Spring, University of Chicago

• CMSC 23010 Parallel Computing 2017 Winter, University of Chicago

• CMSC 23000 Operating Systems 2016 Autumn, University of Chicago

• 712061H Mining Massive Data 2015 Spring, University of Chinese Academy of Sciences

• 711003H Computer Network 2014 Autumn, University of Chinese Academy of Sciences