Kaixin Xu

5 papers · 2023–2026 · 4 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.

Achievements

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🌍 Conference Polyglot · Bronze 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (11) 🐣 Hot Topic Early Bird

Venues

AAAI (2) CVPR (1) ECCV (1) ICCV (1)

Top co-authors

Weisi Lin (3) Xiaoli Li (2) Zhe Wang (2) Xue Geng (2) Min Wu (2) Guoqing Chao (2) Geng Xue (1) Wenxiu Sun (1) Jie Lin (1) Chunyi Li (1)

Research topics

Machine Learning (4) Deep Learning (3) Learning Types · Machine Learning (3) Architectures (2) Core Methods (2) Learning Types · Deep Learning (2) Artificial Intelligence (1) Mathematics & Optimization (1) Application Areas (1) Core AI (1) Optimization (1)

Keywords

graph neural network (2) multi-view clustering (2) representation learning (1) contrastive learning (1) visual perception (1) instruction tuning (1) dynamic programming (1) foundation model (1) multimodal large language model (1) layer-adaptive pruning (1) weight pruning (1) graph propagation (1) incomplete data (1) graph convolutional network (1) low-level vision (1) neural network (1) hierarchical information transfer (1) visual quality assessment (1) low-level visual (1) graph convolutional embedding (1)

Papers

Dynamic Deep Graph Learning for Incomplete Multi-View Clustering with Masked Graph Reconstruction Loss AAAI 2026 Global Graph Propagation with Hierarchical Information Transfer for Incomplete Contrastive Multi-view Clustering AAAI 2025 LPViT: Low-Power Semi-structured Pruning for Vision Transformers ECCV 2024 Q-Instruct: Improving Low-level Visual Abilities for Multi-modality Foundation Models CVPR 2024 Efficient Joint Optimization of Layer-Adaptive Weight Pruning in Deep Neural Networks ICCV 2023