2 citations · 3 across the 3 of their papers we have counts for
3 papers
cs.IR2026
S-GRec: Personalized Semantic-Aware Generative Recommendation with Asymmetric Advantage
Jie Jiang, Hongbo Tang, Wenjie Wu +6
Generative recommendation models sequence generation to produce items end-to-end, but training from behavioral logs often provides weak supervision on underlying user intent. Altho…
cs.CV2021★ 2 cited
Inter-class Discrepancy Alignment for Face Recognition
Jiaheng Liu, Yudong Wu, Yichao Wu +4
The field of face recognition (FR) has witnessed great progress with the surge of deep learning. Existing methods mainly focus on extracting discriminative features, and directly c…
cs.LG2019★ 1 cited
Learning to Auto Weight: Entirely Data-driven and Highly Efficient Weighting Framework
Zhenmao Li, Yichao Wu, Ken Chen +4
Example weighting algorithm is an effective solution to the training bias problem, however, most previous typical methods are usually limited to human knowledge and require laborio…