| 2026 | AAAI | Learning Intrinsic Hierarchy for Generalized Category Discovery. | Yu Duan, Junzhi He, Zhanxuan Hu, Mengda Ji, Rong Wang, Quanxue Gao |
| 2026 | AAAI | Maximizing Schatten-p Norm Regularization Toward Balance. | Fangfang Li, Quanxue Gao, Yapeng Wang, Yu Duan, Yuzhuo Feng, Qin Li |
| 2026 | AAAI | Unified View Extraction with Low-Rankness and Smoothness Fusion for Multi-View Subspace Clustering. | Yapeng Wang, Quanxue Gao, Fangfang Li, Yu Yun, Ming Yang |
| 2026 | AAAI | Adversarial Fair Incomplete Multi-View Clustering. | Qianqian Wang, Haiming Xu, Wei Feng, Quanxue Gao |
| 2026 | AAAI | Tensorized Label Learning via Balanced Tensor Regression. | Guangyu Yang, Yuzhuo Feng, Qin Li, Quanxue Gao, Ming Yang, Rui Wang |
| 2025 | AAAI | Deep Multi-modal Graph Clustering via Graph Transformer Network. | Qianqian Wang, Haiming Xu, Zihao Zhang, Wei Feng, Quanxue Gao |
| 2025 | AAAI | Contrastive Multi-view Subspace Clustering via Tensor Transformers Autoencoder. | Qianqian Wang, Zihao Zhang, Wei Feng, Zhiqiang Tao, Quanxue Gao |
| 2025 | AAAI | Tensorized Label Learning Based Fast Fuzzy Clustering. | Xingyu Xue, Jingjing Xue, Quanxue Gao, Qianqian Wang |
| 2025 | CVPR | Deep Fair Multi-View Clustering with Attention KAN. | Haiming Xu, Qianqian Wang, Boyue Wang, Quanxue Gao |
| 2025 | CVPR | Attribute-Missing Multi-view Graph Clustering. | Bowen Zhao, Qianqian Wang, Zhengming Ding, Quanxue Gao |
| 2025 | ICCV | Hypergraph Clustering Network with Partial Attribute Imputation. | Qianqian Wang, Bowen Zhao, Zhengming Ding, Wei Feng, Quanxue Gao |
| 2025 | ICDM | High-Quality Label Learning in Generalized Category Discovery. | Yu Duan, Junzhi He, Feiping Nie, Quanxue Gao, Cheng Deng |
| 2025 | ICDM | Orthogonal Semi-Nonnegative Tensor Factorization Based Tensorized Label Learning. | Yuxuan Liu, Quanxue Gao, Jingjing Xue, Jing Li, Cheng Deng |
| 2025 | ICDM | Balanced and Discrete Projection Collaborative Clustering with Probabilistic Regression. | Guangyu Yang, Yu Duan, Quanxue Gao, Jingjing Xue, Xuhong Dong |
| 2025 | ICDM | Anchor Label Guided Co-Clustering via Multi-Anchor Graphs Fusion. | Guangyu Yang, Xuhong Dong, Rui Wang, Quanxue Gao, Yu Duan |
| 2025 | ICML | Unified K-Means Clustering with Label-Guided Manifold Learning. | Qianqian Wang, Mengping Jiang, Zhengming Ding, Quanxue Gao |
| 2025 | IJCAI | Efficient Multi-view Clustering via Reinforcement Contrastive Learning. | Qianqian Wang, Haiming Xu, Zihao Zhang, Zhiqiang Tao, Quanxue Gao |
| 2025 | IJCAI | A Simple yet Effective Hypergraph Clustering Network. | Qianqian Wang, Bowen Zhao, Zhengming Ding, Xiangdong Zhang, Quanxue Gao |
| 2024 | AAAI | Partial Multi-View Clustering via Self-Supervised Network. | Wei Feng, Guoshuai Sheng, Qianqian Wang, Quanxue Gao, Zhiqiang Tao, Bo Dong |
| 2024 | AAAI | Tensorized Label Learning on Anchor Graph. | Jing Li, Quanxue Gao, Qianqian Wang, Wei Xia |
| 2024 | AAAI | Embedded Feature Selection on Graph-Based Multi-View Clustering. | Wenhui Zhao, Guangfei Li, Haizhou Yang, Quanxue Gao, Qianqian Wang |
| 2024 | IJCAI | Reconstruction Weighting Principal Component Analysis with Fusion Contrastive Learning. | Qianqian Wang, Meiling Liu, Wei Feng, Mengping Jiang, Haiming Xu, Quanxue Gao |
| 2024 | IJCAI | Federated Multi-View Clustering via Tensor Factorization. | Wei Feng, Zhenwei Wu, Qianqian Wang, Bo Dong, Zhiqiang Tao, Quanxue Gao |
| 2024 | IJCAI | Efficient Federated Multi-View Clustering with Integrated Matrix Factorization and K-Means. | Wei Feng, Zhenwei Wu, Qianqian Wang, Bo Dong, Zhiqiang Tao, Quanxue Gao |
| 2024 | KDD | Label Learning Method Based on Tensor Projection. | Jing Li, Quanxue Gao, Qianqian Wang, Cheng Deng, De-Yan Xie |
| 2023 | AAAI | Centerless Multi-View K-means Based on the Adjacency Matrix. | Han Lu, Quanxue Gao, Qianqian Wang, Ming Yang, Wei Xia |
| 2020 | AAAI | Cross-Modal Subspace Clustering via Deep Canonical Correlation Analysis. | Quanxue Gao, Huanhuan Lian, Qianqian Wang, Gan Sun |
| 2020 | AAAI | Tensor-SVD Based Graph Learning for Multi-View Subspace Clustering. | Quanxue Gao, Wei Xia, Zhizhen Wan, De-Yan Xie, Pu Zhang |
| 2020 | IJCAI | Multi-View Attribute Graph Convolution Networks for Clustering. | Jiafeng Cheng, Qianqian Wang, Zhiqiang Tao, De-Yan Xie, Quanxue Gao |
| 2019 | IJCAI | Worst-Case Discriminative Feature Selection. | Shuangli Liao, Quanxue Gao, Feiping Nie, Yang Liu, Xiangdong Zhang |
| 2019 | IJCAI | Graph and Autoencoder Based Feature Extraction for Zero-shot Learning. | Yang Liu, De-Yan Xie, Quanxue Gao, Jungong Han, Shujian Wang, Xinbo Gao |
| 2019 | IJCAI | Deep Adversarial Multi-view Clustering Network. | Zhaoyang Li, Qianqian Wang, Zhiqiang Tao, Quanxue Gao, Zhaohua Yang |
| 2018 | AAAI | Robust Formulation for PCA: Avoiding Mean Calculation With L | Shuangli Liao, Jin Li, Yang Liu, Quanxue Gao, Xinbo Gao |
| 2018 | AAAI | Euler Sparse Representation for Image Classification. | Yang Liu, Quanxue Gao, Jungong Han, Shujian Wang |
| 2018 | ICDM | Partial Multi-view Clustering via Consistent GAN. | Qianqian Wang, Zhengming Ding, Zhiqiang Tao, Quanxue Gao, Yun Fu |
| 2018 | IJCAI | Zero Shot Learning via Low-rank Embedded Semantic AutoEncoder. | Yang Liu, Quanxue Gao, Jin Li, Jungong Han, Ling Shao |
| 2018 | IJCAI | Learning with Adaptive Neighbors for Image Clustering. | Yang Liu, Quanxue Gao, Zhaohua Yang, Shujian Wang |
| 2017 | AAAI | Two-Dimensional PCA with F-Norm Minimization. | Qianqian Wang, Quanxue Gao |
| 2017 | IJCAI | Angle Principal Component Analysis. | Qianqian Wang, Quanxue Gao, Xinbo Gao, Feiping Nie |
| 2016 | CVPR | Robust 2DPCA and Its Application. | Qianqian Wang, Quanxue Gao |
| 2008 | CVPR | Directional independent component analysis with tensor representation. | Lei Zhang, Quanxue Gao, David Zhang |
| 2007 | ICIAP | Block Independent Component Analysis for Face Recognition. | Lei Zhang, Quanxue Gao, David Zhang |