I am a fifth-year Ph.D student in system group at the department of computer science, the University of Chicago. I am working with Prof. Shan Lu on the performance and the correctness problems of big-data softwares. Here is my resume.

Education

• 2016.8-now, University of Chicago, Ph.D., Computer Science, Supervisor: Prof. Shan Lu

• 2011.9-2015.7, Fudan University, B.Eng, Software Engineering

Research Projects

• Hyperloop, improve the performance of your ORM applications.

  • A comprehensive study of performance problems on existing open-source applications built with Ruby-on-Rails.

  • PowerStation, a RubyMine plugin to help you find performance bugs.

  • Panorama, a view-centric and database-aware development environment for web developers.

  • Vibranium, the first in-depth study of data-constraint problems in web applications

Publications

• Understanding and Detecting Software Upgrade Failures in Distributed Systems. Yongle zhang, Junwen Yang, Zhuqi Jin, Utsav Sethi, Shan Lu, Ding Yuan (SOSP’21)

  

• Auto-Pipeline: Synthesizing Complex Data Pipelines By-Target Using Reinforcement Learning and Search. Junwen Yang, Chaudhuri, Surajit (VLDB’21)

• Automated Code Refactoring upon Database-Schema Changes in Web Applications. Sophie Xie, Junwen Yang, Shan Lu (ASE’21 Demonstration Track)

• Managing data constraints in database-backed web applications. Junwen Yang, Utsav Sethi, Cong Yan, Shan Lu, Alvin Cheung (ICSE’20)

  

• View-Driven Optimization of Database-Backed Web Applications. Cong Yan, Junwen Yang, Alvin Cheung, Shan Lu (CIDR’20)

• Improving Performance and Quality of Database-Backed Software. Junwen Yang. 2019 John Vlissides Award (SPLASH 2019 Doctoral Symposium)

• View-Centric Performance Optimization for Database-Backed Web Applications. Junwen Yang, Cong Yan, Chengcheng Wan, Shan Lu, Alvin Cheung (ICSE’19) SIGSOFT Distinguished Paper Award

  

• PowerStation: Automatically detecting and fixing inefficiencies of database-backed web applications in IDE. Junwen Yang, Cong Yan, Pranav Subramaniam, Shan Lu, Alvin Cheung (FSE’18 Demonstartion Track)

• How not to structure your database-backed web applications: a study of performance bugs in the wild. Junwen Yang, Cong Yan, Pranav Subramaniam, Shan Lu, Alvin Cheung (ICSE’18)

• Understanding Performance Inefficiencies in Real-world Database-backed Applications. Cong Yan, Junwen Yang, Alvin Cheung, Shan Lu (CIKM’17)

Service

• Invited to the ICPE 2021 Artifact Evaluation/Demo Program Committee

• Served on the ECOOP’20 Artifact Evaluation Committee (AEC)

• Served on ICPE 2020 Poster and Demo Track program committee

• ACM-W mentor program

• Student Volunteer for SOSP 2017, SIGMOD 2017, ICSE 2019

Teaching

• TA for CS23200/33250 Computer Security

Awards

• Invited to Rising Stars 2020 workshop

• Siebel Scholar 2021

• Harper Dissertation Fellowship 2020

• UU Fellowship 2019

• ACM SIGPLAN John Vlissides Award 2019

• SIGSOFT Distinguished Paper Award 2019

• SOSP’17, CIKM’17, SIGIR’17 travel grant

• CERES Outstanding Research Award 1st Year Graduate 2017

Contact

• Email Address: junwen at uchicago dot edu

• Office Address:
  JCL 283
  Department of Computer Science
  The University of Chicago
  5730 S. Ellis Avenue
  Chicago, IL 60637