| 2024 | ICSE | Inference for Ever-Changing Policy of Taint Analysis. | Wen-Hao Chiang, Peixuan Li, Qiang Zhou, Subarno Banerjee, Martin Schf, Yingjun Lyu, Hoan Nguyen, Omer Tripp |
| 2023 | PLDI | User-Assisted Code Query Optimization. | Ben Liblit, Yingjun Lyu, Rajdeep Mukherjee, Omer Tripp, Yanjun Wang |
| 2021 | ISSTA | SAND: a static analysis approach for detecting SQL antipatterns. | Yingjun Lyu, Sasha Volokh, William G. J. Halfond, Omer Tripp |
| 2018 | ICSE | Leveraging program analysis to reduce user-perceived latency in mobile applications. | Yixue Zhao, Marcelo Schmitt Laser, Yingjun Lyu, Nenad Medvidovic |
| 2018 | ISSTA | Remove RATs from your code: automated optimization of resource inefficient database writes for mobile applications. | Yingjun Lyu, Ding Li, William G. J. Halfond |
| 2018 | MSR | Bugs.jar: a large-scale, diverse dataset of real-world Java bugs. | Ripon K. Saha, Yingjun Lyu, Wing Lam, Hiroaki Yoshida, Mukul R. Prasad |
| 2016 | ICSE | Automated energy optimization of HTTP requests for mobile applications. | Ding Li, Yingjun Lyu, Jiaping Gui, William G. J. Halfond |