256 citations · 325 across the 15 of their papers we have counts for
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cs.AI2023
I-CEE: Tailoring Explanations of Image Classification Models to User Expertise
Yao Rong, Peizhu Qian, Vaibhav Unhelkar +1
Effectively explaining decisions of black-box machine learning models is critical to responsible deployment of AI systems that rely on them. Recognizing their importance, the field…
cs.LG2023
Efficient GNN Explanation via Learning Removal-based Attribution
Yao Rong, Guanchu Wang, Qizhang Feng +4
As Graph Neural Networks (GNNs) have been widely used in real-world applications, model explanations are required not only by users but also by legal regulations. However, simultan…
cs.CV2023★ 2 cited
DynStatF: An Efficient Feature Fusion Strategy for LiDAR 3D Object Detection
Yao Rong, Xiangyu Wei, Tianwei Lin +2
Augmenting LiDAR input with multiple previous frames provides richer semantic information and thus boosts performance in 3D object detection, However, crowded point clouds in multi…