Tensor Linear Regression and Its Application to Color Face Recognition. - Quanxue Gao; Jiafeng Cheng; De-Yan Xie; Pu Zhang; Wei Xia 007; Qianqian Wang 001 (ICCV Workshops, 2019)

Multi-View Classification via Adaptive Discriminant Analysis. - De-Yan Xie; Qin Li 001; Wei Xia 007; Shiwei Pang; Huihui He; Quanxue Gao (IEEE Access, 2019)

Discriminative comparison classifier for generalized zero-shot learning. - Mingzhen Hou; Wei Xia 007; Xiangdong Zhang; Quanxue Gao (Neurocomputing, 2020)

Multi-view clustering by joint manifold learning and tensor nuclear norm. - De-Yan Xie; Wei Xia 007; Qianqian Wang 001; Quanxue Gao; Song Xiao (Neurocomputing, 2020)

Low-rank tensor constrained co-regularized multi-view spectral clustering. - Huiling Xu; Xiangdong Zhang; Wei Xia 007; Quanxue Gao; Xinbo Gao 001 (Neural Networks, 2020)

Deep Self-Supervised t-SNE for Multi-modal Subspace Clustering. - Qianqian Wang 001; Wei Xia 007; Zhiqiang Tao; Quanxue Gao; Xiaochun Cao (ACM Multimedia, 2021)

Effective and Efficient Graph Learning for Multi-view Clustering. - Quanxue Gao; Wei Xia 007; Xinbo Gao 001; Dacheng Tao (CoRR, 2021)

Self-supervised Contrastive Attributed Graph Clustering. - Wei Xia 007; Quanxue Gao; Ming Yang 024; Xinbo Gao 001 (CoRR, 2021)

Self-supervised graph convolutional clustering by preserving latent distribution. - Shiwen Kou; Wei Xia 007; Xiangdong Zhang; Quanxue Gao; Xinbo Gao 001 (Neurocomputing, 2021)

Regression-based clustering network via combining prior information. - Wei Xia 007; Quanxue Gao; Qianqian Wang 001; Xinbo Gao 001 (Neurocomputing, 2021)

Adversarial self-supervised clustering with cluster-specificity distribution. - Wei Xia 007; Xiangdong Zhang; Quanxue Gao; Xinbo Gao 001 (Neurocomputing, 2021)

Self-representation and Class-Specificity Distribution Based Multi-View Clustering. - Yu Yun; Wei Xia 007; Yongqing Zhang; Quanxue Gao; Xinbo Gao 001 (Neurocomputing, 2021)

Graph embedding clustering: Graph attention auto-encoder with cluster-specificity distribution. - Huiling Xu; Wei Xia 007; Quanxue Gao; Jungong Han; Xinbo Gao 001 (Neural Networks, 2021)

Enhanced Tensor RPCA and its Application. - Quanxue Gao; Pu Zhang; Wei Xia 007; De-Yan Xie; Xinbo Gao 001; Dacheng Tao (IEEE Trans. Pattern Anal. Mach. Intell., 2021)

Cross-view classification by joint adversarial learning and class-specificity distribution. - Siyang Deng; Wei Xia 007; Quanxue Gao; Xinbo Gao 001 (Pattern Recognit., 2021)

Multi-view graph embedding clustering network: Joint self-supervision and block diagonal representation. - Wei Xia 007; Sen Wang; Ming Yang 024; Quanxue Gao; Jungong Han; Xinbo Gao 001 (Neural Networks, 2022)

Tensor Completion-Based Incomplete Multiview Clustering. - Wei Xia 007; Quanxue Gao; Qianqian Wang 001; Xinbo Gao 001 (IEEE Trans. Cybern., 2022)

Multiview Subspace Clustering by an Enhanced Tensor Nuclear Norm. - Wei Xia 007; Xiangdong Zhang; Quanxue Gao; Xiaochuang Shu; Jungong Han; Xinbo Gao 001 (IEEE Trans. Cybern., 2022)

Multiview Spectral Clustering With Bipartite Graph. - Haizhou Yang; Quanxue Gao; Wei Xia 007; Ming Yang 024; Xinbo Gao 001 (IEEE Trans. Image Process., 2022)

Zero-Shot Learning Based on Quality-Verifying Adversarial Network. - Siyang Deng; Gang Xiang; Quanxue Gao; Wei Xia 007; Xinbo Gao 001 (IEEE Trans. Multim., 2022)

Self-Supervised Graph Convolutional Network for Multi-View Clustering. - Wei Xia 007; Qianqian Wang 001; Quanxue Gao; Xiangdong Zhang; Xinbo Gao 001 (IEEE Trans. Multim., 2022)

Centerless Multi-View K-means Based on the Adjacency Matrix. - Han Lu; Quanxue Gao; Qianqian Wang 001; Ming Yang 024; Wei Xia 007 (AAAI, 2023)

Orthogonal Non-negative Tensor Factorization based Multi-view Clustering. - Jing Li 026; Quanxue Gao; Qianqian Wang 001; Ming Yang 024; Wei Xia 007 (NeurIPS, 2023)

Multi-View Clustering via Semi-non-negative Tensor Factorization. - Jing Li 026; Quanxue Gao; Qianqian Wang 001; Wei Xia 007; Xinbo Gao 001 (CoRR, 2023)

Rethinking k-means from manifold learning perspective. - Quanxue Gao; Qianqian Wang 001; Han Lu; Wei Xia 007; Xinbo Gao 001 (CoRR, 2023)

Graph Embedding Contrastive Multi-Modal Representation Learning for Clustering. - Wei Xia 007; Tianxiu Wang; Quanxue Gao; Ming Yang 024; Xinbo Gao 001 (IEEE Trans. Image Process., 2023)

Self-Consistent Contrastive Attributed Graph Clustering With Pseudo-Label Prompt. - Wei Xia 007; Qianqian Wang 001; Quanxue Gao; Ming Yang 024; Xinbo Gao 001 (IEEE Trans. Multim., 2023)

Tensorized Bipartite Graph Learning for Multi-View Clustering. - Wei Xia 007; Quanxue Gao; Qianqian Wang 001; Xinbo Gao 001; Chris Ding; Dacheng Tao (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Adversarial Multiview Clustering Networks With Adaptive Fusion. - Qianqian Wang 001; Zhiqiang Tao; Wei Xia 007; Quanxue Gao; Xiaochun Cao; Licheng Jiao (IEEE Trans. Neural Networks Learn. Syst., 2023)

Tensorized Label Learning on Anchor Graph. - Jing Li 026; Quanxue Gao; Qianqian Wang 001; Wei Xia 007 (AAAI, 2024)