Qianqian Wang - RankMe

101 papers A* 39B 1Journal 58Unranked 3

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	A*	`conf`	Discriminative Graph Embedding Framework via Label-Free Marginal Fisher Analysis. AAAI Qianqian Wang, Mengping Jiang, Wei Feng, Haixi Zhang, Bin Liu
2026	A*	`conf`	Federated Incomplete Multi-View Clustering with Tensorized Low-Rank Constraint. AAAI Wei Feng, Danting Liu, Qianqian Wang, Mengping Jiang, Bin Liu
2026	J	`jnl`	Segmentation-enhanced multi-scale deep hashing for chest X-ray image retrieval. Medical Image Anal. Linmin Wang, Qianqian Wang, Xiaochuan Wang, Mingxia Liu
2026	J	`jnl`	Self-Guided Discriminative Locality Preserving Projections. IEEE Trans. Multim. Qianqian Wang, Mengping Jiang, Gan Sun, Wei Feng, Licheng Jiao
2025	A*	`conf`	A Simple yet Effective Hypergraph Clustering Network. IJCAI Qianqian Wang, Bowen Zhao, Zhengming Ding, Xiangdong Zhang, Quanxue Gao
2025	A*	`conf`	Attribute-Missing Multi-view Graph Clustering. CVPR Bowen Zhao, Qianqian Wang, Zhengming Ding, 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	A*	`conf`	Enhanced Unsupervised Discriminant Dimensionality Reduction for Nonlinear Data. IJCAI Qianqian Wang, Mengping Jiang, Wei Feng, Zhengming Ding
2025	A*	`conf`	Fair Incomplete Multi-View Clustering via Distribution Alignment. IJCAI Qianqian Wang, Haiming Xu, Meiling Liu, Wei Feng, Xiangdong Zhang
2025	J	`jnl`	Federated Multi-Task Clustering. CoRR Suyan Dai, Gan Sun, Fazeng Li, Xu Tang, Qianqian Wang, Yang Cong
2025	A*	`conf`	Federated Multi-view Graph Clustering with Incomplete Attribute Imputation. IJCAI Wei Feng, Zeyu Bi, Qianqian Wang, Bo Dong
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	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	A*	`conf`	Scalable Federated One-Step Multi-View Clustering with Tensorized Regularization. AAAI Wei Feng, Danting Liu, Qianqian Wang, Wenqi Liang, Zheng Yan
2025	A*	`conf`	Tensorial Multi-view Clustering with Deep Anchor Graph Projection. IJCAI Wei Feng, Dongyuvan Wei, Qianqian Wang, Bo Dong
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`	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	B	`conf`	Blind Signature Based Anonymous Authentication on Trust for Decentralized Mobile Crowdsourcing. TrustCom Wei Feng, Dongyuan Wei, Qianqian Wang
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 cross-modal subspace clustering with Contrastive Neighbour Embedding. Neurocomputing Zihao Zhang, Qianqian Wang, Chengquan Pei, Quanxue Gao
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`	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`	Mixed-Modality Clustering via Generative Graph Structure Matching. IEEE Trans. Knowl. Data Eng. Xiaxia He, Boyue Wang, Junbin Gao, Qianqian Wang, Yongli Hu, Baocai Yin
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	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	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`	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	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`	Multi-View Clustering via Semi-non-negative Tensor Factorization. CoRR Jing Li, Quanxue Gao, Qianqian Wang, Wei Xia, Xinbo Gao
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`	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`	Continuous Multi-View Human Action Recognition. IEEE Trans. Circuits Syst. Video Technol. Qiang Wang, Gan Sun, Jiahua Dong, Qianqian Wang, Zhengming Ding
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`	Representative Task Self-Selection for Flexible Clustered Lifelong Learning. IEEE Trans. Neural Networks Learn. Syst. Gan Sun, Yang Cong, Qianqian Wang, Bineng Zhong, Yun Fu
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`	Self-weighted graph learning for multi-view clustering. Neurocomputing Xiaochuang Shu, Xiangdong Zhang, Qianqian Wang
2022	J	`jnl`	Tensor Completion-Based Incomplete Multiview Clustering. IEEE Trans. Cybern. Wei Xia, Quanxue Gao, Qianqian Wang, 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`	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`	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`	Regression-based clustering network via combining prior information. Neurocomputing Wei Xia, Quanxue Gao, Qianqian Wang, 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`	Double robust principal component analysis. Neurocomputing Qianqian Wang, Quanxue Gao, Gan Sun, Chris Ding
2020	J	`jnl`	Generative Partial Multi-View Clustering. CoRR Qianqian Wang, Zhengming Ding, Zhiqiang Tao, Quanxue Gao, Yun Fu
2020	A*	`conf`	Lifelong Spectral Clustering. AAAI Gan Sun, Yang Cong, Qianqian Wang, Jun Li, Yun Fu
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	A*	`conf`	Visual Tactile Fusion Object Clustering. AAAI Tao Zhang, Yang Cong, Gan Sun, Qianqian Wang, Zhengming Ding
2019	J	`jnl`	Adaptive Semi-Supervised Classification by Joint Global and Local Graph. IEEE Access Siyang Deng, Qianqian Wang, Quanxue Gao
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`	Lifelong Spectral Clustering. CoRR Gan Sun, Yang Cong, Qianqian Wang, Jun Li, Yun Fu
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`	Representative Task Self-selection for Flexible Clustered Lifelong Learning. CoRR Gan Sun, Yang Cong, Qianqian Wang, Bineng Zhong, Yun Fu
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	J	`jnl`	Visual Tactile Fusion Object Clustering. CoRR Tao Zhang, Yang Cong, Gan Sun, Qianqian Wang, Zhengming Ding
2018	J	`jnl`	Learning more distinctive representation by enhanced PCA network. Neurocomputing Yang Liu, Shuangshuang Zhao, Qianqian Wang, 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	J	`jnl`	ℓ IEEE Trans. Image Process. Qianqian Wang, Quanxue Gao, Xinbo Gao, Feiping Nie
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`	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`	On the schatten norm for matrix based subspace learning and classification. Neurocomputing Qianqian Wang, Fang Chen, Quanxue Gao, Xinbo Gao, Feiping Nie
2016	—	`conf`	Robust 2DPCA and Its Application. CVPR Workshops Qianqian Wang, 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
2014	J	`jnl`	Global-local fisher discriminant approach for face recognition. Neural Comput. Appl. Qianqian Wang, Xiaolei Hu, Quanxue Gao, Bing Li, Yong Wang