24 citations · 27 across the 7 of their papers we have counts for
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cs.LG2024★ 1 cited
Trusted Multi-view Learning under Noisy Supervision
Yilin Zhang, Cai Xu, Han Jiang +4
Multi-view learning methods often focus on improving decision accuracy while neglecting the decision uncertainty, which significantly restricts their applications in safety-critica…
cs.LG2024★ 2 cited
Reliable Conflictive Multi-View Learning
Cai Xu, Jiajun Si, Ziyu Guan +3
Multi-view learning aims to combine multiple features to achieve more comprehensive descriptions of data. Most previous works assume that multiple views are strictly aligned. Howev…
cs.LG2022★ 24 cited
Self-supervised Heterogeneous Graph Pre-training Based on Structural Clustering
Yaming Yang, Ziyu Guan, Zhe Wang +4
Recent self-supervised pre-training methods on Heterogeneous Information Networks (HINs) have shown promising competitiveness over traditional semi-supervised Heterogeneous Graph N…