I am primarily interested in improving software reliability and developers' productivity for traditional and AI-driven software. To know more about my research, please check ARiSE Lab.

Selected Publications

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SE4AI: Software Testing for AI-based Systems

• Testing DNN Image Classifiers for Confusion & Bias Errors, ICSE 2020 

• Metric Learning for Adversarial Robustness, NeurIPS 2019   

• DeepTest: Automated Testing of Deep-Neural-Network-driven Autonomous Cars, ICSE 2018 

AI4SE: Software Analysis with AI

• Neutaint: Efficient Dynamic Taint Analysis with Neural Networks, S&P (Oakland) 

• NEUZZ: Efficient Fuzzing with Neural Program Smoothing, S&P (Oakland) 2019   

• Building Language Models for Text with Named Entities, ACL 2018   

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Check out Publication for more details.

Awards

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Honors: 

• VMware Early Career Faculty Award, 2020.

• IBM Faculty Award, 2019.

• NSF CAREER Award, 2019.

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Best Paper Award: 

• EAPLS (European Association of Programming Languages and Systems) FASE best paper award, 2020.

• ACM  Distinguished Paper Award, FSE 2017.

• ACM Distinguished Paper Award, MSR 2017.

• Best Student Paper Award, S&P (Oakland) 2014.

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Fundings: 

• NSF CAREER: Systematic Software Testing for Deep Learning Applications, 2019-2024.

• NSF grant for organizing Workshop on Deep Learning and Software Engineering, 2019-2019.

• NSF EAGER: Finding Semantic Security Bugs with Pseudo-Oracle Testing, 2018-2020.

• NSF SPX: Integrating Persistent Memory in the Cloud, 2018-2021.

• NSF CHS: Small: Translating Compilers for Visual Computing in Dynamic Languages, 2016-2019.

• NSF TWC: Small: Collaborative: Automated Detection and Repair of Error Handling Bugs in SSL/TLS Implementations, 2016-2019.