Quanxue Gao - RankMe

198 papers A* 46Misc 1Journal 141Unranked 10

Year	Rank	Type	Title / Venue / Authors
2026	A*	`conf`	Adversarial Fair Incomplete Multi-View Clustering. AAAI Qianqian Wang, Haiming Xu, Wei Feng, Quanxue Gao
2026	J	`jnl`	Fuzzy K-means clustering without cluster centroids. Signal Process. Yuxuan Liu, Yichen Bao, Han Lu, Quanxue Gao
2026	A*	`conf`	Learning Intrinsic Hierarchy for Generalized Category Discovery. AAAI Yu Duan, Junzhi He, Zhanxuan Hu, Mengda Ji, Rong Wang, Quanxue Gao
2026	A*	`conf`	Maximizing Schatten-p Norm Regularization Toward Balance. AAAI Fangfang Li, Quanxue Gao, Yapeng Wang, Yu Duan, Yuzhuo Feng, Qin Li
2026	J	`jnl`	Probabilistic regression-based multi-view clustering with anchor graphs. Neurocomputing Yuxuan Liu, Qin Li, Guangyu Yang, Quanxue Gao, Yu Duan, Cheng Deng
2026	A*	`conf`	Tensorized Label Learning via Balanced Tensor Regression. AAAI Guangyu Yang, Yuzhuo Feng, Qin Li, Quanxue Gao, Ming Yang, Rui Wang
2026	A*	`conf`	Unified View Extraction with Low-Rankness and Smoothness Fusion for Multi-View Subspace Clustering. AAAI Yapeng Wang, Quanxue Gao, Fangfang Li, Yu Yun, Ming Yang
2025	A*	`conf`	A Simple yet Effective Hypergraph Clustering Network. IJCAI Qianqian Wang, Bowen Zhao, Zhengming Ding, Xiangdong Zhang, Quanxue Gao
2025	J	`jnl`	A transformer-based dual contrastive learning approach for zero-shot learning. Neurocomputing Yu Lei, Ran Jing, Fangfang Li, Quanxue Gao, Cheng Deng
2025	—	`conf`	Anchor Label Guided Co-Clustering via Multi-Anchor Graphs Fusion. ICDM (Workshops) Guangyu Yang, Xuhong Dong, Rui Wang, Quanxue Gao, Yu Duan
2025	A*	`conf`	Attribute-Missing Multi-view Graph Clustering. CVPR Bowen Zhao, Qianqian Wang, Zhengming Ding, Quanxue Gao
2025	A*	`conf`	Balanced and Discrete Projection Collaborative Clustering with Probabilistic Regression. ICDM Guangyu Yang, Yu Duan, Quanxue Gao, Jingjing Xue, Xuhong Dong
2025	A*	`conf`	Bi-Orthogonal Non-negative Tensor tri-Factorization for Tensorized Label Learning. ACM Multimedia Rui Wang, Yuxuan Liu, Guangyu Yang, Quanxue Gao, Cheng Deng
2025	J	`jnl`	Centroid-Free K-Means With Balanced Clustering. IEEE Signal Process. Lett. Bin Meng, Fangfang Li, Fan Yang, Quanxue Gao
2025	A*	`conf`	Contrastive Multi-view Subspace Clustering via Tensor Transformers Autoencoder. AAAI Qianqian Wang, Zihao Zhang, Wei Feng, Zhiqiang Tao, Quanxue Gao
2025	A*	`conf`	Deep Fair Multi-View Clustering with Attention KAN. CVPR Haiming Xu, Qianqian Wang, Boyue Wang, Quanxue Gao
2025	A*	`conf`	Deep Multi-modal Graph Clustering via Graph Transformer Network. AAAI Qianqian Wang, Haiming Xu, Zihao Zhang, Wei Feng, Quanxue Gao
2025	A*	`conf`	Efficient Multi-view Clustering via Reinforcement Contrastive Learning. IJCAI Qianqian Wang, Haiming Xu, Zihao Zhang, Zhiqiang Tao, Quanxue Gao
2025	J	`jnl`	Fast discrete multi-view collaborative clustering induced by label propagation. Expert Syst. Appl. Jin Chen, Guangyu Yang, Jingjing Xue, Quanxue Gao, Cheng Deng
2025	A*	`conf`	High-Quality Label Learning in Generalized Category Discovery. ICDM Yu Duan, Junzhi He, Feiping Nie, Quanxue Gao, Cheng Deng
2025	J	`jnl`	Image Clustering With Transition Probabilities Learning. IEEE Trans. Image Process. Xingyu Xue, Wenhui Zhao, Quanxue Gao, Ming Yang, Cheng Deng
2025	J	`jnl`	Incomplete multi-view clustering based on hypergraph. Inf. Fusion Jin Chen, Huafu Xu, Jingjing Xue, Quanxue Gao, Cheng Deng, Ziyu Lv
2025	J	`jnl`	Manifold Based Multi-View K-Means. IEEE Trans. Pattern Anal. Mach. Intell. Quanxue Gao, Fangfang Li, Qianqian Wang, Xinbo Gao, Dacheng Tao
2025	J	`jnl`	Manifold Clustering with Schatten p-norm Maximization. CoRR Fangfang Li, Quanxue Gao
2025	A*	`conf`	Multi-view Clustering Based on Probabilistic Tensor Regression. ACM Multimedia Yichen Bao, Yuxuan Liu, Yu Duan, Jing Li, Quanxue Gao
2025	A*	`conf`	Multi-view Collaborative Representation Learning from Noisy Labels for VHR Imagery Classification. ACM Multimedia Guangfei Li, Quanxue Gao, Yu Lei, Yichen Bao, Qianqian Wang
2025	J	`jnl`	Multi-view clustering based on feature selection and semi-non-negative anchor graph factorization. Neural Networks Shikun Mei, Qianqian Wang, Quanxue Gao, Ming Yang
2025	J	`jnl`	One-step multi-view clustering via label transmission and fusion. Neurocomputing Wenhui Zhao, Sen Wang, Guangfei Li, Quanxue Gao, Cheng Deng
2025	—	`conf`	Orthogonal Semi-Nonnegative Tensor Factorization Based Tensorized Label Learning. ICDM (Workshops) Yuxuan Liu, Quanxue Gao, Jingjing Xue, Jing Li, Cheng Deng
2025	J	`jnl`	Self-Supervised Graph Embedding Clustering. IEEE Trans. Pattern Anal. Mach. Intell. Fangfang Li, Quanxue Gao, Xiaoke Ma, Ming Yang, Cheng Deng
2025	A*	`conf`	Tensorized Label Learning Based Fast Fuzzy Clustering. AAAI Xingyu Xue, Jingjing Xue, Quanxue Gao, Qianqian Wang
2025	J	`jnl`	Tensorized Soft Label Learning Based on Orthogonal NMF. IEEE Trans. Neural Networks Learn. Syst. Fangfang Li, Quanxue Gao, Qianqian Wang, Ming Yang, Cheng Deng
2025	J	`jnl`	Tensorized Tri-Factor Decomposition for Multi-View Clustering. IEEE Trans. Circuits Syst. Video Technol. Rui Wang, Quanxue Gao, Ming Yang, Qianqian Wang
2025	A*	`conf`	Unified K-Means Clustering with Label-Guided Manifold Learning. ICML Qianqian Wang, Mengping Jiang, Zhengming Ding, Quanxue Gao
2024	J	`jnl`	A Coarse-to-Fine Cell Division Approach for Hyperspectral Remote Sensing Image Classification. IEEE Trans. Circuits Syst. Video Technol. Guangfei Li, Quanxue Gao, Jungong Han, Xinbo Gao
2024	J	`jnl`	Anchor Graph-Based Feature Selection for One-Step Multi-View Clustering. IEEE Trans. Multim. Wenhui Zhao, Qin Li, Huafu Xu, Quanxue Gao, Qianqian Wang, Xinbo Gao
2024	J	`jnl`	Anchor graph-based multiview spectral clustering. Neurocomputing Yu Lei, Zuoyuan Niu, Qianqian Wang, Quanxue Gao, Ming Yang
2024	J	`jnl`	Consistent graph learning for multi-view spectral clustering. Pattern Recognit. De-Yan Xie, Quanxue Gao, Yougang Zhao, Fan Yang, Wei Song
2024	A*	`conf`	DFMVC: Deep Fair Multi-view Clustering. ACM Multimedia Bowen Zhao, Qianqian Wang, Zhiqiang Tao, Wei Feng, Quanxue Gao
2024	J	`jnl`	Deep contrastive representation learning for multi-modal clustering. Neurocomputing Yang Lu, Qin Li, Xiangdong Zhang, Quanxue Gao
2024	J	`jnl`	Deep cross-modal subspace clustering with Contrastive Neighbour Embedding. Neurocomputing Zihao Zhang, Qianqian Wang, Chengquan Pei, Quanxue Gao
2024	J	`jnl`	Dual contrastive learning for multi-view clustering. Neurocomputing Yichen Bao, Wenhui Zhao, Qin Zhao, Quanxue Gao, Ming Yang
2024	J	`jnl`	Efficient Anchor Graph Factorization for Multi-View Clustering. IEEE Trans. Multim. Jing Li, Qianqian Wang, Ming Yang, Quanxue Gao, Xinbo Gao
2024	A*	`conf`	Efficient Federated Multi-View Clustering with Integrated Matrix Factorization and K-Means. IJCAI Wei Feng, Zhenwei Wu, Qianqian Wang, Bo Dong, Zhiqiang Tao, Quanxue Gao
2024	J	`jnl`	Efficient Multi-View -Means for Image Clustering. IEEE Trans. Image Process. Han Lu, Huafu Xu, Qianqian Wang, Quanxue Gao, Ming Yang, Xinbo Gao
2024	A*	`conf`	Embedded Feature Selection on Graph-Based Multi-View Clustering. AAAI Wenhui Zhao, Guangfei Li, Haizhou Yang, Quanxue Gao, Qianqian Wang
2024	A*	`conf`	Federated Fuzzy C-means with Schatten- ACM Multimedia Wei Feng, Zhenwei Wu, Qianqian Wang, Bo Dong, Quanxue Gao
2024	A*	`conf`	Federated Multi-View Clustering via Tensor Factorization. IJCAI Wei Feng, Zhenwei Wu, Qianqian Wang, Bo Dong, Zhiqiang Tao, Quanxue Gao
2024	J	`jnl`	Fuzzy K-Means Clustering without Cluster Centroids. CoRR Han Lu, Fangfang Li, Quanxue Gao, Cheng Deng, Chris Ding, Qianqian Wang
2024	J	`jnl`	High-Discriminative Attribute Feature Learning for Generalized Zero-Shot Learning. CoRR Yu Lei, Guoshuai Sheng, Fangfang Li, Quanxue Gao, Cheng Deng, Qin Li
2024	J	`jnl`	Interpretable Multi-View Clustering Based on Anchor Graph Tensor Factorization. CoRR Jing Li, Quanxue Gao, Cheng Deng, Qianqian Wang, Ming Yang
2024	A*	`conf`	Label Learning Method Based on Tensor Projection. KDD Jing Li, Quanxue Gao, Qianqian Wang, Cheng Deng, De-Yan Xie
2024	J	`jnl`	Label Learning Method Based on Tensor Projection. CoRR Jing Li, Quanxue Gao, Qianqian Wang, Cheng Deng, De-Yan Xie
2024	J	`jnl`	Learning deep representation and discriminative features for clustering of multi-layer networks. Neural Networks Wenming Wu, Xiaoke Ma, Quan Wang, Maoguo Gong, Quanxue Gao
2024	A*	`conf`	Multi-View Clustering Based on Deep Non-negative Tensor Factorization. ACM Multimedia Wei Feng, Dongyuan Wei, Qianqian Wang, Bo Dong, Quanxue Gao
2024	J	`jnl`	Multi-View Subspace Clustering via Structured Multi-Pathway Network. IEEE Trans. Neural Networks Learn. Syst. Qianqian Wang, Zhiqiang Tao, Quanxue Gao, Licheng Jiao
2024	J	`jnl`	Non-convex tensorial multi-view clustering by integrating ℓ1-based sliced-Laplacian regularization and ℓ2,p-sparsity. Pattern Recognit. De-Yan Xie, Ming Yang, Quanxue Gao, Wei Song
2024	J	`jnl`	One-Step Multi-View Clustering Based on Transition Probability. CoRR Wenhui Zhao, Quanxue Gao, Guangfei Li, Cheng Deng, Ming Yang
2024	A*	`conf`	Partial Multi-View Clustering via Self-Supervised Network. AAAI Wei Feng, Guoshuai Sheng, Qianqian Wang, Quanxue Gao, Zhiqiang Tao, Bo Dong
2024	A*	`conf`	Reconstruction Weighting Principal Component Analysis with Fusion Contrastive Learning. IJCAI Qianqian Wang, Meiling Liu, Wei Feng, Mengping Jiang, Haiming Xu, Quanxue Gao
2024	J	`jnl`	Self-Supervised Edge Perceptual Learning Framework for High-Resolution Remote Sensing Images Classification. IEEE Trans. Circuits Syst. Video Technol. Guangfei Li, Wenbing Liu, Quanxue Gao, Qianqian Wang, Jungong Han, Xinbo Gao
2024	J	`jnl`	Self-Supervised Graph Embedding Clustering. CoRR Fangfang Li, Quanxue Gao, Ming Yang, Cheng Deng, Wei Xia
2024	A*	`conf`	Tensorized Label Learning on Anchor Graph. AAAI Jing Li, Quanxue Gao, Qianqian Wang, Wei Xia
2024	J	`jnl`	Unsupervised Cross-View Subspace Clustering via Adaptive Contrastive Learning. IEEE Trans. Big Data Zihao Zhang, Qianqian Wang, Quanxue Gao, Chengquan Pei, Wei Feng
2024	J	`jnl`	Unsupervised Discriminative Feature Selection via Contrastive Graph Learning. IEEE Trans. Image Process. Qian Zhou, Qianqian Wang, Quanxue Gao, Ming Yang, Xinbo Gao
2023	J	`jnl`	Active learning based on similarity level histogram and adaptive-scale sampling for very high resolution image classification. Neural Networks Guangfei Li, Quanxue Gao, Ming Yang, Xinbo Gao
2023	J	`jnl`	Adversarial Multiview Clustering Networks With Adaptive Fusion. IEEE Trans. Neural Networks Learn. Syst. Qianqian Wang, Zhiqiang Tao, Wei Xia, Quanxue Gao, Xiaochun Cao, Licheng Jiao
2023	—	`conf`	Capped L2p-Norm Based 2DPCA with Adaptive Capped Threshold Learning for Image Processing. ICCT Meiling Liu, Wei Feng, Chengquan Pei, Qianqian Wang, Quanxue Gao
2023	A*	`conf`	Centerless Multi-View K-means Based on the Adjacency Matrix. AAAI Han Lu, Quanxue Gao, Qianqian Wang, Ming Yang, Wei Xia
2023	J	`jnl`	Contrastive self-representation learning for data clustering. Neural Networks Wenhui Zhao, Quanxue Gao, Shikun Mei, Ming Yang
2023	A*	`conf`	Dropping Pathways Towards Deep Multi-View Graph Subspace Clustering Networks. ACM Multimedia Zihao Zhang, Qianqian Wang, Zhiqiang Tao, Quanxue Gao, Wei Feng
2023	J	`jnl`	Enhanced tensor low-rank representation learning for multi-view clustering. Neural Networks De-Yan Xie, Quanxue Gao, Ming Yang
2023	J	`jnl`	Graph Embedding Contrastive Multi-Modal Representation Learning for Clustering. IEEE Trans. Image Process. Wei Xia, Tianxiu Wang, Quanxue Gao, Ming Yang, Xinbo Gao
2023	J	`jnl`	Joint feature selection and optimal bipartite graph learning for subspace clustering. Neural Networks Shikun Mei, Wenhui Zhao, Quanxue Gao, Ming Yang, Xinbo Gao
2023	J	`jnl`	Low-rank discrete multi-view spectral clustering. Neural Networks Yu Yun, Jing Li, Quanxue Gao, Ming Yang, Xinbo Gao
2023	J	`jnl`	Multi-View Clustering via Semi-non-negative Tensor Factorization. CoRR Jing Li, Quanxue Gao, Qianqian Wang, Wei Xia, Xinbo Gao
2023	J	`jnl`	Multi-modal object detection via transformer network. IET Image Process. Wenbing Liu, Haibo Wang, Quanxue Gao, Zhaorui Zhu
2023	A*	`conf`	Orthogonal Non-negative Tensor Factorization based Multi-view Clustering. NeurIPS Jing Li, Quanxue Gao, Qianqian Wang, Ming Yang, Wei Xia
2023	J	`jnl`	Rethinking k-means from manifold learning perspective. CoRR Quanxue Gao, Qianqian Wang, Han Lu, Wei Xia, Xinbo Gao
2023	J	`jnl`	Self-Consistent Contrastive Attributed Graph Clustering With Pseudo-Label Prompt. IEEE Trans. Multim. Wei Xia, Qianqian Wang, Quanxue Gao, Ming Yang, Xinbo Gao
2023	J	`jnl`	Self-Weighted Anchor Graph Learning for Multi-View Clustering. IEEE Trans. Multim. Xiaochuang Shu, Xiangdong Zhang, Quanxue Gao, Ming Yang, Rong Wang, Xinbo Gao
2023	J	`jnl`	Sparse discriminant PCA based on contrastive learning and class-specificity distribution. Neural Networks Qian Zhou, Quanxue Gao, Qianqian Wang, Ming Yang, Xinbo Gao
2023	J	`jnl`	Tensorized Bipartite Graph Learning for Multi-View Clustering. IEEE Trans. Pattern Anal. Mach. Intell. Wei Xia, Quanxue Gao, Qianqian Wang, Xinbo Gao, Chris Ding, Dacheng Tao
2022	J	`jnl`	A multi-view clustering framework via integrating Neurocomputing Han Lu, Quanxue Gao, Xiangdong Zhang, Wei Xia
2022	J	`jnl`	Attributes learning network for generalized zero-shot learning. Neural Networks Yu Yun, Sen Wang, Mingzhen Hou, Quanxue Gao
2022	J	`jnl`	Contrastive deep embedded clustering. Neurocomputing Guoshuai Sheng, Qianqian Wang, Chengquan Pei, Quanxue Gao
2022	J	`jnl`	Enhanced nuclear norm based matrix regression for occluded face recognition. Pattern Recognit. Qin Li, Huihui He, Hong Lai, Tie Cai, Qianqian Wang, Quanxue Gao
2022	J	`jnl`	Fast multiple graphs learning for multi-view clustering. Neural Networks Tianyu Jiang, Quanxue Gao
2022	J	`jnl`	Low-rank constraint bipartite graph learning. Neurocomputing Qian Zhou, Haizhou Yang, Quanxue Gao
2022	J	`jnl`	Multi-view Spectral Clustering with Adaptive Graph Learning and Tensor Schatten Neurocomputing Yujiao Zhao, Yu Yun, Xiangdong Zhang, Qin Li, Quanxue Gao
2022	J	`jnl`	Multi-view graph embedding clustering network: Joint self-supervision and block diagonal representation. Neural Networks Wei Xia, Sen Wang, Ming Yang, Quanxue Gao, Jungong Han, Xinbo Gao
2022	J	`jnl`	Multiview Spectral Clustering With Bipartite Graph. IEEE Trans. Image Process. Haizhou Yang, Quanxue Gao, Wei Xia, Ming Yang, Xinbo Gao
2022	J	`jnl`	Multiview Subspace Clustering by an Enhanced Tensor Nuclear Norm. IEEE Trans. Cybern. Wei Xia, Xiangdong Zhang, Quanxue Gao, Xiaochuang Shu, Jungong Han, Xinbo Gao
2022	J	`jnl`	Self-Supervised Graph Convolutional Network for Multi-View Clustering. IEEE Trans. Multim. Wei Xia, Qianqian Wang, Quanxue Gao, Xiangdong Zhang, Xinbo Gao
2022	J	`jnl`	Semi-Supervised Clustering via Cannot Link Relationship for Multiview Data. IEEE Trans. Circuits Syst. Video Technol. Zhaorui Zhu, Quanxue Gao
2022	J	`jnl`	Tensor Completion-Based Incomplete Multiview Clustering. IEEE Trans. Cybern. Wei Xia, Quanxue Gao, Qianqian Wang, Xinbo Gao
2022	J	`jnl`	View-Consistency Learning for Incomplete Multiview Clustering. IEEE Trans. Image Process. Ziyu Lv, Quanxue Gao, Xiangdong Zhang, Qin Li, Ming Yang
2022	J	`jnl`	Zero-Shot Learning Based on Quality-Verifying Adversarial Network. IEEE Trans. Multim. Siyang Deng, Gang Xiang, Quanxue Gao, Wei Xia, Xinbo Gao
2021	J	`jnl`	Adversarial Multi-Path Residual Network for Image Super-Resolution. IEEE Trans. Image Process. Qianqian Wang, Quanxue Gao, Linlu Wu, Gan Sun, Licheng Jiao
2021	J	`jnl`	Adversarial self-supervised clustering with cluster-specificity distribution. Neurocomputing Wei Xia, Xiangdong Zhang, Quanxue Gao, Xinbo Gao
2021	J	`jnl`	Cross-view classification by joint adversarial learning and class-specificity distribution. Pattern Recognit. Siyang Deng, Wei Xia, Quanxue Gao, Xinbo Gao
2021	J	`jnl`	Deep Multi-View Subspace Clustering With Unified and Discriminative Learning. IEEE Trans. Multim. Qianqian Wang, Jiafeng Cheng, Quanxue Gao, Guoshuai Zhao, Licheng Jiao
2021	A*	`conf`	Deep Self-Supervised t-SNE for Multi-modal Subspace Clustering. ACM Multimedia Qianqian Wang, Wei Xia, Zhiqiang Tao, Quanxue Gao, Xiaochun Cao
2021	J	`jnl`	Effective and Efficient Graph Learning for Multi-view Clustering. CoRR Quanxue Gao, Wei Xia, Xinbo Gao, Dacheng Tao
2021	J	`jnl`	Enhanced Tensor RPCA and its Application. IEEE Trans. Pattern Anal. Mach. Intell. Quanxue Gao, Pu Zhang, Wei Xia, De-Yan Xie, Xinbo Gao, Dacheng Tao
2021	J	`jnl`	Generative Partial Multi-View Clustering With Adaptive Fusion and Cycle Consistency. IEEE Trans. Image Process. Qianqian Wang, Zhengming Ding, Zhiqiang Tao, Quanxue Gao, Yun Fu
2021	J	`jnl`	Graph embedding clustering: Graph attention auto-encoder with cluster-specificity distribution. Neural Networks Huiling Xu, Wei Xia, Quanxue Gao, Jungong Han, Xinbo Gao
2021	J	`jnl`	Multi-view clustering by joint spectral embedding and spectral rotation. Neurocomputing Zhizhen Wan, Huiling Xu, Quanxue Gao
2021	J	`jnl`	Multiple Graph Learning for Scalable Multi-view Clustering. CoRR Tianyu Jiang, Quanxue Gao
2021	J	`jnl`	Multiple graphs learning with a new weighted tensor nuclear norm. Neural Networks De-Yan Xie, Quanxue Gao, Siyang Deng, Xiaojun Yang, Xinbo Gao
2021	J	`jnl`	Regression-based clustering network via combining prior information. Neurocomputing Wei Xia, Quanxue Gao, Qianqian Wang, Xinbo Gao
2021	J	`jnl`	Relation-based Discriminative Cooperation Network for Zero-Shot Classification. Pattern Recognit. Yang Liu, Xinbo Gao, Quanxue Gao, Jungong Han, Ling Shao
2021	J	`jnl`	Satellite-Borne Optical Remote Sensing Image Registration Based on Point Features. Sensors Xinan Hou, Quanxue Gao, Rong Wang, Xin Luo
2021	J	`jnl`	Self-representation and Class-Specificity Distribution Based Multi-View Clustering. Neurocomputing Yu Yun, Wei Xia, Yongqing Zhang, Quanxue Gao, Xinbo Gao
2021	J	`jnl`	Self-representation and matrix factorization based multi-view clustering. Neurocomputing Ying Dou, Yu Yun, Quanxue Gao, Xiangdong Zhang
2021	J	`jnl`	Self-supervised Contrastive Attributed Graph Clustering. CoRR Wei Xia, Quanxue Gao, Ming Yang, Xinbo Gao
2021	J	`jnl`	Self-supervised graph convolutional clustering by preserving latent distribution. Neurocomputing Shiwen Kou, Wei Xia, Xiangdong Zhang, Quanxue Gao, Xinbo Gao
2021	J	`jnl`	iCmSC: Incomplete Cross-Modal Subspace Clustering. IEEE Trans. Image Process. Qianqian Wang, Huanhuan Lian, Gan Sun, Quanxue Gao, Licheng Jiao
2020	J	`jnl`	Adaptive latent similarity learning for multi-view clustering. Neural Networks De-Yan Xie, Quanxue Gao, Qianqian Wang, Xiangdong Zhang, Xinbo Gao
2020	A*	`conf`	Cross-Modal Subspace Clustering via Deep Canonical Correlation Analysis. AAAI Quanxue Gao, Huanhuan Lian, Qianqian Wang, Gan Sun
2020	J	`jnl`	Discriminative comparison classifier for generalized zero-shot learning. Neurocomputing Mingzhen Hou, Wei Xia, Xiangdong Zhang, Quanxue Gao
2020	J	`jnl`	Double robust principal component analysis. Neurocomputing Qianqian Wang, Quanxue Gao, Gan Sun, Chris Ding
2020	J	`jnl`	Fast algorithm for large-scale subspace clustering by LRR. IET Image Process. De-Yan Xie, Feiping Nie, Quanxue Gao, Song Xiao
2020	J	`jnl`	Generative Partial Multi-View Clustering. CoRR Qianqian Wang, Zhengming Ding, Zhiqiang Tao, Quanxue Gao, Yun Fu
2020	J	`jnl`	Label-activating framework for zero-shot learning. Neural Networks Yang Liu, Xinbo Gao, Quanxue Gao, Jungong Han, Ling Shao
2020	J	`jnl`	Low-rank tensor constrained co-regularized multi-view spectral clustering. Neural Networks Huiling Xu, Xiangdong Zhang, Wei Xia, Quanxue Gao, Xinbo Gao
2020	A*	`conf`	Multi-View Attribute Graph Convolution Networks for Clustering. IJCAI Jiafeng Cheng, Qianqian Wang, Zhiqiang Tao, De-Yan Xie, Quanxue Gao
2020	J	`jnl`	Multi-view clustering by joint manifold learning and tensor nuclear norm. Neurocomputing De-Yan Xie, Wei Xia, Qianqian Wang, Quanxue Gao, Song Xiao
2020	J	`jnl`	Multi-view projected clustering with graph learning. Neural Networks Quanxue Gao, Zhizhen Wan, Ying Liang, Qianqian Wang, Yang Liu, Ling Shao
2020	J	`jnl`	Multiview Clustering by Joint Latent Representation and Similarity Learning. IEEE Trans. Cybern. De-Yan Xie, Xiangdong Zhang, Quanxue Gao, Jiale Han, Song Xiao, Xinbo Gao
2020	J	`jnl`	On the optimal solution to maximum margin projection pursuit. Multim. Tools Appl. De-Yan Xie, Feiping Nie, Quanxue Gao
2020	A*	`conf`	Tensor-SVD Based Graph Learning for Multi-View Subspace Clustering. AAAI Quanxue Gao, Wei Xia, Zhizhen Wan, De-Yan Xie, Pu Zhang
2019	J	`jnl`	${R}_1$ -2-DPCA and Face Recognition. IEEE Trans. Cybern. Quanxue Gao, Sai Xu, Fang Chen, Chris Ding, Xinbo Gao, Yunsong Li
2019	J	`jnl`	Adaptive Semi-Supervised Classification by Joint Global and Local Graph. IEEE Access Siyang Deng, Qianqian Wang, Quanxue Gao
2019	J	`jnl`	Adaptive robust principal component analysis. Neural Networks Yang Liu, Xinbo Gao, Quanxue Gao, Ling Shao, Jungong Han
2019	J	`jnl`	Consistent Embedded GAN for Image-to-Image Translation. IEEE Access Feng Xiong, Qianqian Wang, Quanxue Gao
2019	A*	`conf`	Deep Adversarial Multi-view Clustering Network. IJCAI Zhaoyang Li, Qianqian Wang, Zhiqiang Tao, Quanxue Gao, Zhaohua Yang
2019	J	`jnl`	Flexible unsupervised feature extraction for image classification. Neural Networks Yang Liu, Feiping Nie, Quanxue Gao, Xinbo Gao, Jungong Han, Ling Shao
2019	A*	`conf`	Graph and Autoencoder Based Feature Extraction for Zero-shot Learning. IJCAI Yang Liu, De-Yan Xie, Quanxue Gao, Jungong Han, Shujian Wang, Xinbo Gao
2019	J	`jnl`	Hyperspectral image denoising via minimizing the partial sum of singular values and superpixel segmentation. Neurocomputing Yang Liu, Caifeng Shan, Quanxue Gao, Xinbo Gao, Jungong Han, Rongmei Cui
2019	J	`jnl`	Image Classification Using Low-Rank Regularized Extreme Learning Machine. IEEE Access Qin Li, Yang Liu, Shujian Wang, Quanxue Gao, Xinbo Gao
2019	J	`jnl`	Multi-View Classification via Adaptive Discriminant Analysis. IEEE Access De-Yan Xie, Qin Li, Wei Xia, Shiwei Pang, Huihui He, Quanxue Gao
2019	J	`jnl`	Multi-View Spectral Clustering via Integrating Global and Local Graphs. IEEE Access De-Yan Xie, Quanxue Gao, Qianqian Wang, Song Xiao
2019	J	`jnl`	Nuclear-norm based 2DLDA with application to face recognition. Neurocomputing Pu Zhang, Siyang Deng, Feiping Nie, Yang Liu, Xiangdong Zhang, Quanxue Gao
2019	—	`conf`	Tensor Linear Regression and Its Application to Color Face Recognition. ICCV Workshops Quanxue Gao, Jiafeng Cheng, De-Yan Xie, Pu Zhang, Wei Xia, Qianqian Wang
2019	A*	`conf`	Worst-Case Discriminative Feature Selection. IJCAI Shuangli Liao, Quanxue Gao, Feiping Nie, Yang Liu, Xiangdong Zhang
2018	J	`jnl`	Angle 2DPCA: A New Formulation for 2DPCA. IEEE Trans. Cybern. Quanxue Gao, Lan Ma, Yang Liu, Xinbo Gao, Feiping Nie
2018	J	`jnl`	Dimensionality reduction by LPP-L21. IET Comput. Vis. Shujian Wang, De-Yan Xie, Fang Chen, Quanxue Gao
2018	J	`jnl`	Discriminant Analysis via Joint Euler Transform and ℓ IEEE Trans. Image Process. Shuangli Liao, Quanxue Gao, Zhaohua Yang, Fang Chen, Feiping Nie, Jungong Han
2018	J	`jnl`	Euler Label Consistent K-SVD for image classification and action recognition. Neurocomputing Yue Song, Yang Liu, Quanxue Gao, Xinbo Gao, Feiping Nie, Rongmei Cui
2018	A*	`conf`	Euler Sparse Representation for Image Classification. AAAI Yang Liu, Quanxue Gao, Jungong Han, Shujian Wang
2018	J	`jnl`	L IEEE Access Yang Liu, Quanxue Gao, Xinbo Gao, Ling Shao
2018	J	`jnl`	Learning more distinctive representation by enhanced PCA network. Neurocomputing Yang Liu, Shuangshuang Zhao, Qianqian Wang, Quanxue Gao
2018	A*	`conf`	Learning with Adaptive Neighbors for Image Clustering. IJCAI Yang Liu, Quanxue Gao, Zhaohua Yang, Shujian Wang
2018	J	`jnl`	Nuclear-norm based semi-supervised multiple labels learning. Neurocomputing Yang Liu, Feiping Nie, Quanxue Gao
2018	A*	`conf`	Partial Multi-view Clustering via Consistent GAN. ICDM Qianqian Wang, Zhengming Ding, Zhiqiang Tao, Quanxue Gao, Yun Fu
2018	J	`jnl`	Robust DLPP With Nongreedy ℓ IEEE Trans. Neural Networks Learn. Syst. Qianqian Wang, Quanxue Gao, De-Yan Xie, Xinbo Gao, Yong Wang
2018	A*	`conf`	Robust Formulation for PCA: Avoiding Mean Calculation With L AAAI Shuangli Liao, Jin Li, Yang Liu, Quanxue Gao, Xinbo Gao
2018	J	`jnl`	SVM based multi-label learning with missing labels for image annotation. Pattern Recognit. Yang Liu, Kaiwen Wen, Quanxue Gao, Xinbo Gao, Feiping Nie
2018	A*	`conf`	Zero Shot Learning via Low-rank Embedded Semantic AutoEncoder. IJCAI Yang Liu, Quanxue Gao, Jin Li, Jungong Han, Ling Shao
2018	J	`jnl`	ℓ IEEE Trans. Image Process. Qianqian Wang, Quanxue Gao, Xinbo Gao, Feiping Nie
2017	J	`jnl`	A Non-Greedy Algorithm for L1-Norm LDA. IEEE Trans. Image Process. Yang Liu, Quanxue Gao, Shuo Miao, Xinbo Gao, Feiping Nie, Yunsong Li
2017	J	`jnl`	Adaptive maximum margin analysis for image recognition. Pattern Recognit. Qianqian Wang, Lan Ma, Quanxue Gao, Yunsong Li, Yunfang Huang, Yang Liu
2017	A*	`conf`	Angle Principal Component Analysis. IJCAI Qianqian Wang, Quanxue Gao, Xinbo Gao, Feiping Nie
2017	J	`jnl`	F-norm distance metric based robust 2DPCA and face recognition. Neural Networks Tao Li, Mengyuan Li, Quanxue Gao, De-Yan Xie
2017	J	`jnl`	Optimal mean two-dimensional principal component analysis with F-norm minimization. Pattern Recognit. Qianqian Wang, Quanxue Gao, Xinbo Gao, Feiping Nie
2017	J	`jnl`	Trace ratio 2DLDA with L1-norm optimization. Neurocomputing Mengyuan Li, Jing Wang, Qianqian Wang, Quanxue Gao
2017	A*	`conf`	Two-Dimensional PCA with F-Norm Minimization. AAAI Qianqian Wang, Quanxue Gao
2016	J	`jnl`	Discriminant structure embedding for image recognition. Neurocomputing Shuo Miao, Jing Wang, Quanxue Gao, Fang Chen, Yong Wang
2016	J	`jnl`	On the schatten norm for matrix based subspace learning and classification. Neurocomputing Qianqian Wang, Fang Chen, Quanxue Gao, Xinbo Gao, Feiping Nie
2016	J	`jnl`	Rebuttal to "Comments on 'Joint Global and Local Structure Discriminant Analysis"'. IEEE Trans. Inf. Forensics Secur. Quanxue Gao
2016	—	`conf`	Robust 2DPCA and Its Application. CVPR Workshops Qianqian Wang, Quanxue Gao
2015	J	`jnl`	A novel semi-supervised learning for face recognition. Neurocomputing Quanxue Gao, Yunfang Huang, Xinbo Gao, Weiguo Shen, Hailin Zhang
2015	—	`conf`	An Accelerated Two-Step Iteration Hybrid-norm Algorithm for Image Restoration. CCCV (2) Yong Wang, Wenjuan Xu, Xiaoyu Yang, Qianqian Qiao, Zheng Jia, Quanxue Gao
2015	J	`jnl`	Dimensionality Reduction by Integrating Sparse Representation and Fisher Criterion and its Applications. IEEE Trans. Image Process. Quanxue Gao, Qianqian Wang, Yunfang Huang, Xinbo Gao, Xin Hong, Hailin Zhang
2015	J	`jnl`	Discriminative sparsity preserving projections for image recognition. Pattern Recognit. Quanxue Gao, Yunfang Huang, Hailin Zhang, Xin Hong, Kui Li, Yong Wang
2015	J	`jnl`	Merging model-based two-dimensional principal component analysis. Neurocomputing Kai Cui, Quanxue Gao, Hailin Zhang, Xinbo Gao, De-Yan Xie
2014	J	`jnl`	Global-local fisher discriminant approach for face recognition. Neural Comput. Appl. Qianqian Wang, Xiaolei Hu, Quanxue Gao, Bing Li, Yong Wang
2014	J	`jnl`	Stable locality sensitive discriminant analysis for image recognition. Neural Networks Quanxue Gao, Jingjing Liu, Kai Cui, Hailin Zhang, Xiaogang Wang
2013	J	`jnl`	Feature extraction using two-dimensional neighborhood margin and variation embedding. Comput. Vis. Image Underst. Quanxue Gao, Xiujuan Hao, Qijun Zhao, Weiguo Shen, Jingjie Ma
2013	J	`jnl`	Joint Global and Local Structure Discriminant Analysis. IEEE Trans. Inf. Forensics Secur. Quanxue Gao, Jingjing Liu, Hailin Zhang, Xinbo Gao, Kui Li
2013	J	`jnl`	Joint geometry and variability for image recognition. Neurocomputing Quanxue Gao, Haijun Zhang, Xiaojing Yang, Jingjing Liu, Yamin Liu
2013	J	`jnl`	Stable Orthogonal Local Discriminant Embedding for Linear Dimensionality Reduction. IEEE Trans. Image Process. Quanxue Gao, Jingjie Ma, Hailin Zhang, Xinbo Gao, Yamin Liu
2013	J	`jnl`	Two-Dimensional Maximum Local Variation Based on Image Euclidean Distance for Face Recognition. IEEE Trans. Image Process. Quanxue Gao, Feifei Gao, Hailin Zhang, Xiujuan Hao, Xiaogang Wang
2012	J	`jnl`	Enhanced fisher discriminant criterion for image recognition. Pattern Recognit. Quanxue Gao, Jingjing Liu, Haijun Zhang, Jun Hou, Xiaojing Yang
2012	J	`jnl`	Two-dimensional margin, similarity and variation embedding. Neurocomputing Quanxue Gao, Haijun Zhang, Jingjing Liu
2010	—	`conf`	Directional Multimode Subspace Analysis with Tensor Representation-Discriminant Feature Extraction. CASoN Quanxue Gao, Jun Hou, Xiujuan Hao, Yiying Li
2010	—	`conf`	Directional Principal Component Analysis for Image Matrix. CASoN Quanxue Gao, Yiying Li, Yamin Liu, Haijun Zhang
2010	—	`conf`	Directional Two-dimensional Neighborhood Preserving Projection for Face Recognition. CASoN Yiying Li, Qichuan Tian, Quanxue Gao, Jing Xu
2010	J	`jnl`	Independent components extraction from image matrix. Pattern Recognit. Lett. Quanxue Gao, Lei Zhang, David Zhang, Hui Xu
2010	J	`jnl`	Two-dimensional supervised local similarity and diversity projection. Pattern Recognit. Quanxue Gao, Hui Xu, Yiying Li, De-Yan Xie
2009	J	`jnl`	Sequential row-column independent component analysis for face recognition. Neurocomputing Quanxue Gao, Lei Zhang, David Zhang
2008	A*	`conf`	Directional independent component analysis with tensor representation. CVPR Lei Zhang, Quanxue Gao, David Zhang
2008	J	`jnl`	Face recognition using FLDA with single training image per person. Appl. Math. Comput. Quanxue Gao, Lei Zhang, David Zhang
2008	—	`conf`	Screening Diabetic Retinopathy Through Color Retinal Images. ICMB Qin Li, Xue-Min Jin, Quanxue Gao, Jane You, Prabir Bhattacharya
2007	Misc	`conf`	Block Independent Component Analysis for Face Recognition. ICIAP Lei Zhang, Quanxue Gao, David Zhang
2007	J	`jnl`	Comments on "On Image Matrix Based Feature Extraction Algorithms". IEEE Trans. Syst. Man Cybern. Part B Quanxue Gao, Lei Zhang, David Zhang, Jian Yang
2007	J	`jnl`	Is two-dimensional PCA equivalent to a special case of modular PCA? Pattern Recognit. Lett. Quanxue Gao