7 citations · 16 across the 7 of their papers we have counts for
7 papers
Regularized Contrastive Partial Multi-view Outlier Detection
Yijia Wang, Qianqian Xu, Yangbangyan Jiang +2
In recent years, multi-view outlier detection (MVOD) methods have advanced significantly, aiming to identify outliers within multi-view datasets. A key point is to better detect cl…
HGOE: Hybrid External and Internal Graph Outlier Exposure for Graph Out-of-Distribution Detection
Junwei He, Qianqian Xu, Yangbangyan Jiang +3
With the progressive advancements in deep graph learning, out-of-distribution (OOD) detection for graph data has emerged as a critical challenge. While the efficacy of auxiliary da…
Not All Pairs are Equal: Hierarchical Learning for Average-Precision-Oriented Video Retrieval
Yang Liu, Qianqian Xu, Peisong Wen +2
The rapid growth of online video resources has significantly promoted the development of video retrieval methods. As a standard evaluation metric for video retrieval, Average Preci…
Sequential Manipulation Against Rank Aggregation: Theory and Algorithm
Ke Ma, Qianqian Xu, Jinshan Zeng +4
Rank aggregation with pairwise comparisons is widely encountered in sociology, politics, economics, psychology, sports, etc . Given the enormous social impact and the consequent in…
DRAUC: An Instance-wise Distributionally Robust AUC Optimization Framework
Siran Dai, Qianqian Xu, Zhiyong Yang +2
The Area Under the ROC Curve (AUC) is a widely employed metric in long-tailed classification scenarios. Nevertheless, most existing methods primarily assume that training and testi…
When Measures are Unreliable: Imperceptible Adversarial Perturbations toward Top- Multi-Label Learning
Yuchen Sun, Qianqian Xu, Zitai Wang +1
With the great success of deep neural networks, adversarial learning has received widespread attention in various studies, ranging from multi-class learning to multi-label learning…