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Xiaorong Pu

17 papers · 2021–2026 · 6 venues · across top CS/AI venues

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

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+7 more ↓ πŸ—ΊοΈ Taxonomy Completionist (32) πŸƒ Academic Marathon Β· Sprint 🌍 Conference Polyglot Β· Silver πŸŒ‰ Interdisciplinary Bridge Β· Gold 🐣 Hot Topic Early Bird
πŸ”¬ Deep Specialist (12) 🀝 Dynamic Duo (17) πŸ’Ž Century Club Β· Bronze πŸ“ˆ Trend Setter 🌈 Renaissance Researcher (6) πŸ—ƒοΈ Keyword Collector (82) ⚑ Prolific Year Β· Productive

Papers

Topology-Aware Vision Transformers for Enhanced Scene Recognition AAAI 2026 Views Attention Fusion of Granular-ball Fuzzy Representations Split for Improved Multi-view Clustering AAAI 2026 An Effective and Secure Federated Multi-View Clustering Method with Information-Theoretic Perspective ICML 2025 Multi-View Graph Clustering via Node-Guided Contrastive Encoding ICML 2025 VSNet: Focusing on the Linguistic Characteristics of Sign Language CVPR 2025 Adaptive Feature Imputation with Latent Graph for Deep Incomplete Multi-View Clustering AAAI 2024 Bridging Gaps: Federated Multi-View Clustering in Heterogeneous Hybrid Views NeurIPS 2024 Cross-View Contrastive Fusion for Enhanced Molecular Property Prediction IJCAI 2024 Dynamic Weighted Graph Fusion for Deep Multi-View Clustering IJCAI 2024 Homophily-Related: Adaptive Hybrid Graph Filter for Multi-View Graph Clustering AAAI 2024 Integrating Vision-Language Semantic Graphs in Multi-View Clustering IJCAI 2024 Sparse Bayesian Deep Learning for Cross Domain Medical Image Reconstruction AAAI 2024 A Novel Approach for Effective Multi-View Clustering with Information-Theoretic Perspective NeurIPS 2023 Deep Multi-view Subspace Clustering with Anchor Graph IJCAI 2023 Dual Label-Guided Graph Refinement for Multi-View Graph Clustering AAAI 2023 Self-Supervised Graph Attention Networks for Deep Weighted Multi-View Clustering AAAI 2023 Multi-VAE: Learning Disentangled View-Common and View-Peculiar Visual Representations for Multi-View Clustering ICCV 2021