3 citations · 4 across the 2 of their papers we have counts for
2 papers
cs.LG2021★ 3 cited
Deep Co-Attention Network for Multi-View Subspace Learning
Lecheng Zheng, Yu Cheng, Hongxia Yang +2
Many real-world applications involve data from multiple modalities and thus exhibit the view heterogeneity. For example, user modeling on social media might leverage both the topol…
cs.CV2019★ 1 cited
Deep Multimodality Model for Multi-task Multi-view Learning
Lecheng Zheng, Yu Cheng, Jingrui He
Many real-world problems exhibit the coexistence of multiple types of heterogeneity, such as view heterogeneity (i.e., multi-view property) and task heterogeneity (i.e., multi-task…