Personal Profile
I obtained my Ph.D. from the Computer Science department at the University of Southern California. My advisor is William G.J. Halfond. My research interest lies in static program analysis and optimization.
I obtained my Ph.D. from the Computer Science department at the University of Southern California. My advisor is William G.J. Halfond. My research interest lies in static program analysis and optimization.
Ph.D., Computer Science
2014-2020
Bachelor, Computer Science
2012-2014
Bachelor, Computer Science
2010-2012
Yingjun Lyu, Sasha Volokh, William G. J. Halfond, Omer Tripp
ISSTA 2021, ACM SIGSOFT Distinguished Paper Award
Yingjun Lyu, Ali Alotaibi, William G. J. Halfond
ICSME 2019, acceptance rate: 23%
Yingjun Lyu, Ding Li, William G. J. Halfond
ISSTA 2018, acceptance rate: 23%
Ripon Saha, Yingjun Lyu, Wing Lam, Hiroaki Yoshida, Mukul Prasad
MSR 2018 Data Showcase
Yixue Zhao, Marcelo Laser, Yingjun Lyu, Nenad Medvidovic
ICSE 2018, acceptance rate: 21%
Ripon K. Saha, Yingjun Lyu, Hiroaki Yoshida, Mukul R. Prasad
ASE 2017, acceptance rate: 21%
Yingjun Lyu, Jiaping Gui (co-first author), Mian Wan, William G. J. Halfond
ICSME 2017, acceptance rate: 27.8%
Artifact available: https://github.com/USC-SQL/SQLUsage
Ding Li, Yingjun Lyu, Jiaping Gui, William G. J. Halfond
ICSE 2016, acceptance rate: 19%
Ding Li, Yingjun Lyu, Mian Wan, William G. J. Halfond
FSE 2015, acceptance rate: 25.4%
Applied Scientist, June 2020 - Present
Intern, May 2018 - Aug 2018
Worked on a type-checker for Python.
Intern, May 2017 - Aug 2017
Worked on real-time data leakage detection using system monitoring logs.
Intern, May 2016 - Aug 2016
Worked on automated Java program repair.
This is a general framework for string analysis that allows researchers to more flexibly choose how they will estimate the possible string values at a given program point.
Performance bugs of mobile applications were discovered and categorized. The tool performs an automated performance analysis tool on mobile applications and detects performance bugs in the source code. Bug reports will be generated to assist developers to improve the performance of their apps.
Github: https://github.com/winsonlyu/Performance-Checker-Wala