1 citations · 2 across the 4 of their papers we have counts for
4 papers
Regularizing modality contribution drift in multimodal continual learning
Zhen Zhang, Jielei Chu, Bin Liu +5
Multimodal continual learning (MMCL) aims to acquire new knowledge from multimodal data while retaining previously learned knowledge. Existing MMCL methods primarily mitigate forge…
Variational Bayesian Personalized Ranking
Bin Liu, Xiaohong Liu, Qin Luo +7
Pairwise learning underpins implicit collaborative filtering, yet its effectiveness is often hindered by sparse supervision, noisy interactions, and popularity-driven exposure bias…
Self-supervised Contrastive Learning for Implicit Collaborative Filtering
Shipeng Song, Bin Liu, Fei Teng +1
Contrastive learning-based recommendation algorithms have significantly advanced the field of self-supervised recommendation, particularly with BPR as a representative ranking pred…
Learning Contrastive Feature Representations for Facial Action Unit Detection
Ziqiao Shang, Bin Liu, Fengmao Lv +3
For the Facial Action Unit (AU) detection task, accurately capturing the subtle facial differences between distinct AUs is essential for reliable detection. Additionally, AU detect…