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Yun Liao, Shuyang Hou, Xinjie Yao
Abstract
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Latent heterogeneous graph network for incomplete multi-view learning
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Learning compact semantic information and reliable pseudo-labels for incomplete multi-view multi-label classification
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Consistency-diversity trade-off and label-guided learning for double-incomplete multi-view multi-label classification
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Learning latent disentangled embeddings and graphs for multi-view clustering
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Adaptive group sparse multi-view classification method based on mutual information
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datacite
Confidence 0%
Dual contrastive prediction for incomplete multi-view representation learning
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Trusted multi-view classification with dynamic evidential fusion
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Deep fuzzy multi-view learning for reliable classification
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Multiview deep subspace clustering networks
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Multi-view representation learning with decoupled private and shared propagation
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Reliable representation learning for incomplete multi-view missing multi-label classification
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Evidential dissonance measure in robust multi-view classification to resist adversarial attack
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Trusted multi-view classification with expert knowledge constraints
2025
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Generalized trusted multi-view classification framework with hierarchical opinion aggregation
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10.1609/aaai.v36i7.20724 · doi-reference
10.1145/1869790.1869829
10.1145/1869790.1869829 · doi-reference
Causal interventional prompt tuning for few-shot out-of-distribution generalization
10.1109/tpami.2025.3621250 · doi-reference
Generalized trusted multi-view classification framework with hierarchical opinion aggregation
10.1109/tmm.2026.3651098 · doi-reference
10.1609/aaai.v40i30.39780
10.1609/aaai.v40i30.39780 · doi-reference
10.1145/3746027.3755015
10.1145/3746027.3755015 · doi-reference
10.1109/cvpr52734.2025.01445
10.1109/cvpr52734.2025.01445 · doi-reference
10.1145/3664647.3681297
10.1145/3664647.3681297 · doi-reference
Evidential dissonance measure in robust multi-view classification to resist adversarial attack
10.1016/j.inffus.2024.102605 · doi-reference
10.24963/ijcai.2024/582
10.24963/ijcai.2024/582 · doi-reference
10.1609/aaai.v35i9.16924
10.1609/aaai.v35i9.16924 · doi-reference
Reliable representation learning for incomplete multi-view missing multi-label classification
10.1109/tpami.2025.3546356 · doi-reference
Integrated heterogeneous graph attention network for incomplete multi-modal clustering
10.1007/s11263-024-02066-y · doi-reference
Multi-view representation learning with decoupled private and shared propagation
10.1016/j.knosys.2025.112956 · doi-reference
10.1109/cvpr52729.2023.01115
10.1109/cvpr52729.2023.01115 · doi-reference
Multiview deep subspace clustering networks
10.1109/tcyb.2024.3372309 · doi-reference
10.1145/1553374.1553391
10.1145/1553374.1553391 · doi-reference
10.1609/aaai.v39i16.33914
10.1609/aaai.v39i16.33914 · doi-reference
10.1609/aaai.v39i18.34088
10.1609/aaai.v39i18.34088 · doi-reference
10.1609/aaai.v37i7.26066
10.1609/aaai.v37i7.26066 · doi-reference
Trusted multi-view classification with dynamic evidential fusion
10.1109/tpami.2022.3171983 · doi-reference
Adaptive group sparse multi-view classification method based on mutual information
10.1016/j.patcog.2025.112931 · doi-reference
Learning latent disentangled embeddings and graphs for multi-view clustering
10.1016/j.patcog.2024.110839 · doi-reference
Consistency-diversity trade-off and label-guided learning for double-incomplete multi-view multi-label classification
10.1016/j.patcog.2026.113391 · doi-reference
Learning compact semantic information and reliable pseudo-labels for incomplete multi-view multi-label classification
10.1109/tpami.2026.3665813 · doi-reference
10.1145/3664647.3681404
10.1145/3664647.3681404 · doi-reference
10.1609/aaai.v38i14.29546
10.1609/aaai.v38i14.29546 · doi-reference
Comprehensive multi-view representation learning
10.1016/j.inffus.2022.08.014 · doi-reference
Latent heterogeneous graph network for incomplete multi-view learning
10.1109/tmm.2022.3154592 · doi-reference