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Quanxue Gao

31 papers · 2017–2026 · 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.

Achievements

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+7 more ↓ πŸ—ΊοΈ Taxonomy Completionist (33) πŸƒ Academic Marathon Β· Sprint 🌍 Conference Polyglot Β· Silver πŸŒ‰ Interdisciplinary Bridge Β· Gold 🐣 Hot Topic Early Bird
πŸ”¬ Deep Specialist (25) 🀝 Dynamic Duo (22) πŸ† Keyword Champion (3) 🌈 Renaissance Researcher (5) ⚑ Prolific Year Β· Productive πŸ—ƒοΈ Keyword Collector (125) πŸ’Ž Century Club Β· Bronze

Venues

AAAI (14) IJCAI (12) CVPR (2) ICCV (1) ICML (1) NeurIPS (1)

Top co-authors

Qianqian Wang (22) Wei Feng (8) Zhiqiang Tao (7) Haiming Xu (5) Yang Liu (4) Wei Xia (4) Zhengming Ding (4) Ming Yang (4) Bo Dong (3) Zihao Zhang (3)

Research topics

Machine Learning (31) Core Methods (30) Learning Types Β· Machine Learning (18) Deep Learning (11) Learning Types Β· Deep Learning (7) Architectures (5) Artificial Intelligence (4) Learning Paradigms (3) Data Science & Analytics (2) Mathematics & Optimization (2) Applications (2) Mathematics (2) Computer Science (1) Computer Vision (1) Analysis (1)

Keywords

multi-view clustering (13) contrastive learning (6) anchor graph (5) low-rank representation (4) tensor schatten norm (4) k-means clustering (4) multi-view subspace clustering (3) representation learning (3) graph-based clustering (3) multi-view learning (3) schatten p-norm (3) tensor decomposition (3) graph neural network (3) matrix factorization (2) principal component analysis (2) zero-shot learning (2) federated learning (2) hypergraph clustering (2) outlier robustness (2) subspace clustering (2)

Papers

Adversarial Fair Incomplete Multi-View Clustering AAAI 2026 Learning Intrinsic Hierarchy for Generalized Category Discovery AAAI 2026 Maximizing Schatten-p Norm Regularization Toward Balance AAAI 2026 Tensorized Label Learning via Balanced Tensor Regression AAAI 2026 Unified View Extraction with Low-Rankness and Smoothness Fusion for Multi-View Subspace Clustering AAAI 2026 A Simple yet Effective Hypergraph Clustering Network IJCAI 2025 Attribute-Missing Multi-view Graph Clustering CVPR 2025 Contrastive Multi-view Subspace Clustering via Tensor Transformers Autoencoder AAAI 2025 Deep Fair Multi-View Clustering with Attention KAN CVPR 2025 Deep Multi-modal Graph Clustering via Graph Transformer Network AAAI 2025 Efficient Multi-view Clustering via Reinforcement Contrastive Learning IJCAI 2025 Hypergraph Clustering Network with Partial Attribute Imputation ICCV 2025 Tensorized Label Learning Based Fast Fuzzy Clustering AAAI 2025 Unified K-Means Clustering with Label-Guided Manifold Learning ICML 2025 Efficient Federated Multi-View Clustering with Integrated Matrix Factorization and K-Means IJCAI 2024 Embedded Feature Selection on Graph-Based Multi-View Clustering AAAI 2024 Federated Multi-View Clustering via Tensor Factorization IJCAI 2024 Partial Multi-View Clustering via Self-Supervised Network AAAI 2024 Reconstruction Weighting Principal Component Analysis with Fusion Contrastive Learning IJCAI 2024 Tensorized Label Learning on Anchor Graph AAAI 2024 Centerless Multi-View K-means Based on the Adjacency Matrix AAAI 2023 Orthogonal Non-negative Tensor Factorization based Multi-view Clustering NeurIPS 2023 Cross-Modal Subspace Clustering via Deep Canonical Correlation Analysis AAAI 2020 Multi-View Attribute Graph Convolution Networks for Clustering IJCAI 2020 Tensor-SVD Based Graph Learning for Multi-View Subspace Clustering AAAI 2020 Deep Adversarial Multi-view Clustering Network IJCAI 2019 Graph and Autoencoder Based Feature Extraction for Zero-shot Learning IJCAI 2019 Worst-Case Discriminative Feature Selection IJCAI 2019 Learning with Adaptive Neighbors for Image Clustering IJCAI 2018 Zero Shot Learning via Low-rank Embedded Semantic AutoEncoder IJCAI 2018 Angle Principal Component Analysis IJCAI 2017