5 citations · 5 across the 3 of their papers we have counts for
3 papers
cs.LG2025
Negative Metric Learning for Graphs
Yiyang Zhao, Chengpei Wu, Lilin Zhang +1
Graph contrastive learning (GCL) often suffers from false negatives, which degrades the performance on downstream tasks. The existing methods addressing the false negative issue us…
cs.CV2025
Weakly Supervised Contrastive Adversarial Training for Learning Robust Features from Semi-supervised Data
Lilin Zhang, Chengpei Wu, Ning Yang
Existing adversarial training (AT) methods often suffer from incomplete perturbation, meaning that not all non-robust features are perturbed when generating adversarial examples (A…
cs.IR2024★ 5 cited
Adaptive Fair Representation Learning for Personalized Fairness in Recommendations via Information Alignment
Xinyu Zhu, Lilin Zhang, Ning Yang
Personalized fairness in recommendations has been attracting increasing attention from researchers. The existing works often treat a fairness requirement, represented as a collecti…