Chunwei Liu - Homepage

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 broad research is primarily in distributed systems and databases. He is particularly interested in developing new compression techniques for data systems, adaptive compression selection for resource-constrained database and ML systems, and high dimensional data analysis for time series.

Publications

Services and Teaching

Professional Services

Reviewer of The International Journal on Very Large Data Bases (VLDBJ)
SIGMOD Availability & Reproducibility Committee 2022, 2023
Program Committee of SIGMOD'25, VLDB'24-25, KDD'2023, SMDB'2023

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

	Chunwei Liu Postdoctoral Associate at MIT CSAIL 32 Vassar St, Cambridge, MA 02139 Office: Room 32-G930 MIT Data Systems and AI Lab (DSAIL) MIT Data Systems Group (DSG) Email: chunwei@csail.mit.edu Profiles: GoogleScholar, LinkedIn, Twitter ORCID, ResearchGate, CV

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 broad research is primarily in distributed systems and databases. He is particularly interested in developing new compression techniques for data systems, adaptive compression selection for resource-constrained database and ML systems, and high dimensional data analysis for time series. Publications Services and Teaching Professional Services Reviewer of The International Journal on Very Large Data Bases (VLDBJ) SIGMOD Availability & Reproducibility Committee 2022, 2023 Program Committee of SIGMOD'25, VLDB'24-25, KDD'2023, SMDB'2023 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