近几年发表的代表性论文（其他论文见https://dblp.org/pid/63/804.html 或 https://dblp.dagstuhl.de/pid/63/804.html）

2024年：

Wenhui Zhao, Qin Li, Huafu Xu, Quanxue Gao, Qianqian Wang, Xinbo Gao: Anchor Graph-Based Feature Selection for One-Step Multi-View Clustering. IEEE Trans. Multim. 26: 7413-7425 (2024)

Jing Li, Qianqian Wang, Ming Yang, Quanxue Gao, Xinbo Gao: Efficient Anchor Graph Factorization for Multi-View Clustering. IEEE Trans. Multim. 26: 5834-5845 (2024)

Qian Zhou, Qianqian Wang, Quanxue Gao, Ming Yang, Xinbo Gao: Unsupervised Discriminative Feature Selection via Contrastive Graph Learning. IEEE Trans. Image Process. 33: 972-986 (2024)

Han Lu, Huafu Xu, Qianqian Wang, Quanxue Gao, Ming Yang, Xinbo Gao: Efficient Multi-View -Means for Image Clustering. IEEE Trans. Image Process. 33: 273-284 (2024)

Guangfei Li, Quanxue Gao, Jungong Han, Xinbo Gao: A Coarse-to-Fine Cell Division Approach for Hyperspectral Remote Sensing Image Classification. IEEE Trans. Circuits Syst. Video Technol. 34(6): 4928-4941 (2024)

Qianqian Wang, Zhiqiang Tao, Quanxue Gao, Licheng Jiao: Multi-View Subspace Clustering via Structured Multi-Pathway Network. IEEE Trans. Neural Networks Learn. Syst. 35(5): 7244-7250 (2024)

Wenhui Zhao, Guangfei Li, Haizhou Yang, Quanxue Gao, Qianqian Wang: Embedded Feature Selection on Graph-Based Multi-View Clustering. AAAI 2024: 17016-17023

Jing Li, Quanxue Gao, Qianqian Wang, Wei Xia: Tensorized Label Learning on Anchor Graph. AAAI 2024: 13537-13544​

2023年：

Wei Xia, Quanxue Gao,  Qianqian Wang,  Xinbo Gao,  Chris Ding,  Dacheng Tao: Tensorized Bipartite Graph Learning for Multi-View Clustering. IEEE Trans. Pattern Anal. Mach. Intell. 45(4): 5187-5202 (2023)

Wei Xia, Tianxiu Wang, Quanxue Gao, Ming Yang, Xinbo Gao: Graph Embedding Contrastive Multi-Modal Representation Learning for Clustering. IEEE Trans. Image Process. 32: 1170-1183 (2023)

Xiaochuang Shu, Xiangdong Zhang, Quanxue Gao, Ming Yang, Rong Wang, Xinbo Gao，Self-Weighted Anchor Graph Learning for Multi-View Clustering. IEEE Trans. Multim. 25: 5485-5499 (2023)
Wei Xia, Qianqian Wang, Quanxue Gao, Ming Yang, Xinbo Gao: Self-Consistent Contrastive Attributed Graph Clustering With Pseudo-Label Prompt. IEEE Trans. Multim. 25: 6665-6677 (2023)

Qianqian Wang, Zhiqiang Tao, Wei Xia, Quanxue Gao, Xiaochun Cao, Licheng Jiao，Adversarial Multiview Clustering Networks With Adaptive Fusion. IEEE Trans. Neural Networks Learn. Syst. 34(10): 7635-7647 (2023)

​Han Lu​, Quanxue Gao, Qianqian Wang, Ming Yang, Wei Xia，Centerless Multi-View K-means Based on the Adjacency Matrix. AAAI 2023: 8949-8956

Jing Li, Quanxue Gao, Qianqian Wang, Ming Yang, Wei Xia: Orthogonal Non-negative Tensor Factorization based Multi-view Clustering. NeurIPS 2023：18186-18202

2022年：

Zhaorui Zhu, Quanxue Gao: Semi-Supervised Clustering via Cannot Link Relationship for Multiview Data. IEEE Trans. Circuits Syst. Video Technol. 32(12): 8744-8755 (2022)

Wei Xia, Xiangdong Zhang, Quanxue Gao, Xiaochuang Shu, Jungong Han, Xinbo Gao: Multiview Subspace Clustering by an Enhanced Tensor Nuclear Norm. IEEE Trans. Cybern. 52(9): 8962-8975 (2022)

Wei Xia, Quanxue Gao, Qianqian Wang, Xinbo Gao: Tensor Completion-Based Incomplete Multiview Clustering. IEEE Trans. Cybern. 52(12): 13635-13644 (2022)

Haizhou Yang, Quanxue Gao, Wei Xia, Ming Yang, Xinbo Gao: Multiview Spectral Clustering With Bipartite Graph. IEEE Trans. Image Process. 31: 3591-3605 (2022)

Ziyu Lv, Quanxue Gao, Xiangdong Zhang, Qin Li, Ming Yang: View-Consistency Learning for Incomplete Multiview Clustering. IEEE Trans. Image Process. 31: 4790-4802 (2022)

Wei Xia, Qianqian Wang, Quanxue Gao, Xiangdong Zhang, Xinbo Gao: Self-Supervised Graph Convolutional Network for Multi-View Clustering. IEEE Trans. Multim. 24: 3182-3192 (2022)

Siyang Deng, Gang Xiang, Quanxue Gao, Wei Xia, Xinbo Gao: Zero-Shot Learning Based on Quality-Verifying Adversarial Network. IEEE Trans. Multim. 24: 4526-4537 (2022)

2021年：

Quanxue Gao, Pu Zhang, Wei Xia, De-Yan Xie, Xinbo Gao, Dacheng Tao: Enhanced Tensor RPCA and its Application. IEEE Trans. Pattern Anal. Mach. Intell. 43(6): 2133-2140 (2021)

Siyang Deng, Wei Xia, Quanxue Gao, Xinbo Gao: Cross-view classification by joint adversarial learning and class-specificity distribution. Pattern Recognit. 110: 107633 (2021)

Qianqian Wang, Huanhuan Lian, Gan Sun, Quanxue Gao, Licheng Jiao: iCmSC: Incomplete Cross-Modal Subspace Clustering. IEEE Trans. Image Process. 30: 305-317 (2021)

Qianqian Wang, Zhengming Ding, Zhiqiang Tao, Quanxue Gao, Yun Fu: Generative Partial Multi-View Clustering With Adaptive Fusion and Cycle Consistency. IEEE Trans. Image Process. 30: 1771-1783 (2021)

Qianqian Wang,  Quanxue Gao,  Linlu Wu, Gan Sun,  Licheng Jiao: Adversarial Multi-Path Residual Network for Image Super-Resolution. IEEE Trans. Image Process. 30: 6648-6658 (2021)

Qianqian Wang,  Jiafeng Cheng, Quanxue Gao,  Guoshuai Zhao, Licheng Jiao: Deep Multi-View Subspace Clustering With Unified and Discriminative Learning. IEEE Trans. Multim. 23: 3483-3493 (2021)

Qianqian Wang, Wei Xia, Zhiqiang Tao, Quanxue Gao, Xiaochun Cao: Deep Self-Supervised t-SNE for Multi-modal Subspace Clustering. ACM Multimedia. 2021: 1748-1755

2020年：

De-Yan Xie, Xiangdong Zhang, Quanxue Gao, Jiale Han, Song Xiao, Xinbo Gao: Multiview Clustering by Joint Latent Representation and Similarity Learning. IEEE Trans. Cybern. 50(11): 4848-4854 (2020)

Quanxue Gao, Wei Xia, Zhizhen Wan, De-Yan Xie, Pu Zhang: Tensor-SVD Based Graph Learning for Multi-View Subspace Clustering. AAAI 2020: 3930-3937

Quanxue Gao, Huanhuan Lian, Qianqian Wang, Gan Sun: Cross-Modal Subspace Clustering via Deep Canonical Correlation Analysis. AAAI 2020: 3938-3945