6 citations · 11 across the 4 of their papers we have counts for
4 papers
Distinguishing Look-Alike Innocent and Vulnerable Code by Subtle Semantic Representation Learning and Explanation
Chao Ni, Xin Yin, Kaiwen Yang +3
Though many deep learning (DL)-based vulnerability detection approaches have been proposed and indeed achieved remarkable performance, they still have limitations in the generaliza…
Adversarial Auto-Augment with Label Preservation: A Representation Learning Principle Guided Approach
Kaiwen Yang, Yanchao Sun, Jiahao Su +5
Data augmentation is a critical contributing factor to the success of deep learning but heavily relies on prior domain knowledge which is not always available. Recent works on auto…
Defect Identification, Categorization, and Repair: Better Together
Chao Ni, Kaiwen Yang, Xin Xia +3
Just-In-Time defect prediction (JIT-DP) models can identify defect-inducing commits at check-in time. Even though previous studies have achieved a great progress, these studies sti…
Domain-Class Correlation Decomposition for Generalizable Person Re-Identification
Kaiwen Yang, Xinmei Tian
Domain generalization in person re-identification is a highly important meaningful and practical task in which a model trained with data from several source domains is expected to…