3 citations · 3 across the 4 of their papers we have counts for
4 papers
Flexible and Robust Counterfactual Explanations with Minimal Satisfiable Perturbations
Yongjie Wang, Hangwei Qian, Yongjie Liu +2
Counterfactual explanations (CFEs) exemplify how to minimally modify a feature vector to achieve a different prediction for an instance. CFEs can enhance informational fairness and…
Explaining Language Models' Predictions with High-Impact Concepts
Ruochen Zhao, Shafiq Joty, Yongjie Wang +1
The emergence of large-scale pretrained language models has posed unprecedented challenges in deriving explanations of why the model has made some predictions. Stemmed from the com…
DualCF: Efficient Model Extraction Attack from Counterfactual Explanations
Yongjie Wang, Hangwei Qian, Chunyan Miao
Cloud service providers have launched Machine-Learning-as-a-Service (MLaaS) platforms to allow users to access large-scale cloudbased models via APIs. In addition to prediction out…
ResumeNet: A Learning-based Framework for Automatic Resume Quality Assessment
Yong Luo, Huaizheng Zhang, Yongjie Wang +2
Recruitment of appropriate people for certain positions is critical for any companies or organizations. Manually screening to select appropriate candidates from large amounts of re…