DEEPSEC: A Uniform Platform for Security Analysis of Deep Learning Model. - Xiang Ling 001; Shouling Ji; Jiaxu Zou; Jiannan Wang 002; Chunming Wu 001; Bo Li 026; Ting Wang 006 (IEEE Symposium on Security and Privacy, 2019)

Problems and Opportunities in Training Deep Learning Software Systems: An Analysis of Variance. - Hung Viet Pham; Shangshu Qian; Jiannan Wang 002; Thibaud Lutellier; Jonathan Rosenthal; Lin Tan 001; Yaoliang Yu; Nachiappan Nagappan (ASE, 2020)

EAGLE: Creating Equivalent Graphs to Test Deep Learning Libraries. - Jiannan Wang 002; Thibaud Lutellier; Shangshu Qian; Hung Viet Pham; Lin Tan 001 (ICSE, 2022)

CEDAR: Continuous Testing of Deep Learning Libraries. - Danning Xie; Jiannan Wang 002; Hung Viet Pham; Lin Tan 001; Yu Guo; Adnan Aziz; Erik Meijer 001 (SANER, 2024)

LATTE: Improving Latex Recognition for Tables and Formulae with Iterative Refinement. - Nan Jiang 012; Shanchao Liang; Chengxiao Wang; Jiannan Wang 002; Lin Tan 001 (AAAI, 2025)

D3: Differential Testing of Distributed Deep Learning With Model Generation. - Jiannan Wang 002; Hung Viet Pham; Qi Li; Lin Tan 001; Yu Guo; Adnan Aziz; Erik Meijer 001 (IEEE Trans. Software Eng., 2025)

CORE: Benchmarking LLMs Code Reasoning Capabilities through Static Analysis Tasks. - Danning Xie; Mingwei Zheng; Xuwei Liu; Jiannan Wang 002; Chengpeng Wang 001; Lin Tan 001; Xiangyu Zhang 001 (CoRR, 2025)