Quanxue Gao

31 papers · 2017–2026 · 6 conferences · across top CS/AI conferences

Achievements

+10 more ↓

🌍 Conference Polyglot (6) 🌉 Interdisciplinary Bridge 🐣 Hot Topic Early Bird 🧭 Keyword Pioneer 🏃 Academic Marathon (8)

🐣 Hot Topic Early Bird 🐝 Cross-Pollinator (10) 🌍 Conference Polyglot (6) 🤝 Dynamic Duo (21) 🔬 Deep Specialist (24) 🏆 Keyword Champion (4) 🗃️ Keyword Collector (122) ⚡ Prolific Year (9) 💎 Century Club (26) 📈 Trend Setter

Conferences

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

Keywords

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

Papers

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