🔥 News

• 2024.03.02: 🎉 Our latest research on fairness improvement of deep learning models has been accepted by ISSTA 2024. In this paper, we have systematically compared the performance of existing techniques under a unified setting, based on which we have summarized a set of findings that can facilitate future research.

• 2023.10.10: 🎉 One paper is accepted by TOSEM. In this paper, we proposed a general model post-training framework for improving the performance of DL models in different tasks.