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08/29/2023
Ensuring User-side Fairness in Dynamic Recommender Systems
User-side group fairness is crucial for modern recommender systems, as i...
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08/27/2023
Topological Augmentation for Class-Imbalanced Node Classification
Class imbalance is prevalent in real-world node classification tasks and...
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12/28/2021
Adversarial Learning for Incentive Optimization in Mobile Payment Marketing
Many payment platforms hold large-scale marketing campaigns, which alloc...
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10/17/2020
MESA: Boost Ensemble Imbalanced Learning with MEta-SAmpler
Imbalanced learning (IL), i.e., learning unbiased models from class-imba...
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09/08/2019
Self-paced Ensemble for Highly Imbalanced Massive Data Classification
Many real-world applications reveal difficulties in learning classifiers...
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09/08/2019
Training Effective Ensemble on Imbalanced Data by Self-paced Harmonizing Classification Hardness
Many real-world applications reveal difficulties in learning classifiers...
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04/17/2018
Scalable attribute-aware network embedding with locality
Adding attributes for nodes to network embedding helps to improve the ab...
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04/17/2018