I am a Ph.D. student working with Prof. Lin Tan in the Department of Computer Science of Purdue University.

My research interests include software testing, software engineering and machine learning.

Publications

CEDAR: Continuous Testing of Deep Learning Libraries
Danning Xie, Jiannan Wang, Hung Viet Pham, Lin Tan, Yu Guo, Adnan Aziz, and Erik Meijer.
In the proceedings of the IEEE International Conference on Software Analysis, Evolution and Reengineering, March 2024. Rovaniemi, Finland. SANER 2024

EAGLE: Creating Equivalent Graphs to Test Deep Learning Libraries
Jiannan Wang, Thibaud Lutellier, Shangshu Qian, Hung Viet Pham, and Lin Tan.
In the proceedings of the 44th International Conference on Software Engineering, May 2022. Pittsburgh, USA. ICSE 2022

Problems and Opportunities in Training Deep Learning Software Systems: An Analysis of Variance
Hung Viet Pham, Shangshu Qian, Jiannan Wang, Thibaud Lutellier, Jonathan Rosenthal, Lin Tan, Yaoliang Yu, and Nachiappan Nagappan.
In the proceedings of the 35th IEEE/ACM International Conference on Automated Software Engineering, September 2020. Virtual/Melbourne, Australia. ASE 2020
Won ACM SIGSOFT Distinguished Paper Award!

DEEPSEC: A Uniform Platform for Security Analysis of Deep Learning Models
Xiang Ling, Shouling Ji, Jiaxu Zou, Jiannan Wang, Chunming Wu, Bo Li and Ting Wang.
In the proceedings of the 40th IEEE Symposium on Security and Privacy, May 2019. San Francisco, USA. S&P 2019