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
Check out Publication for more details.
Awards
News
- Feb, 2020 : Delighted to receive VMware Early Career Faculty Award.
- Dec, 2019 : Testing DNN Image Classifiers for Confusion & Bias Errors got accepted in ICSE 2020.
- Oct, 2019 : Delighted to receive IBM Faculty Award.
- Sep, 2019 : Metric Learning for Adversarial Robustness got accepted in NeurIPS 2019.
- Mar, 2019 : Delighted to receive NSF CAREER AWARD for Systematic Software Testing for Deep Learning Applications.
- Dec, 2018 : We are organizing a workshop, DeepTest 2019, co-located with ICSE 2019, to discuss various topics on testing for and with Deep Neural Network.
- Dec, 2018 : NEUZZ: Efficient Fuzzing with Neural Program Smoothing got accepted in S&P (Oakland) 2019.
- July, 2018 : "Replay without Recording of Production Bugs for Service Oriented Applications" got accepted in ASE, 2018.
- Joining Columbia University, City of New York as an assistant professor from July 2018.
- December, 2017 : "DeepTest: Automated Testing of Deep-Neural-Network-driven Autonomous Cars" got accepted in ICSE, 2018.
- September, 2017 : ErrDoc got best paper award in FSE, 2017.
- June, 2017 : ErrDoc got accepted in FSE, 2017.
- May, 2017 : Distinguished paper award, MSR 2017.
- July, 2016 : Attended Microsoft Faculty Summit.
- July, 2016 : "APEx: Automated Inference of Error Specifications for C APIs" got accepted to ASE 2016.
- May, 2016 : "Automatically Detecting Error Handling Bugs using Error Specifications" got accepted to Usenix Security 2016.
- December, 2015 : "On the Naturalness of Buggy Code" got accepted to ICSE 2016.
- October, 2015 : Attended NL+SE, an interdisciplinary workshop between NLP and Software Engineering, at Redmond, WA.
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