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2020 – today
- 2025
[j25]Yazhou Ren
, Jingyu Pu, Zhimeng Yang, Jie Xu, Guofeng Li, Xiaorong Pu, Philip S. Yu, Lifang He:
Deep Clustering: A Comprehensive Survey. IEEE Trans. Neural Networks Learn. Syst. 36(4): 5858-5878 (2025)- 2024
- [j24]Yazhou Ren, Xinyue Chen, Jie Xu, Jingyu Pu, Yonghao Huang, Xiaorong Pu, Ce Zhu, Xiaofeng Zhu, Zhifeng Hao, Lifang He:
A novel federated multi-view clustering method for unaligned and incomplete data fusion. Inf. Fusion 108: 102357 (2024) - [j23]Jiaxin Huang, Kecheng Chen, Yazhou Ren, Jiayu Sun, Xiaorong Pu, Ce Zhu:
Cross-Domain Low-Dose CT Image Denoising With Semantic Preservation and Noise Alignment. IEEE Trans. Multim. 26: 8771-8782 (2024) - [j22]Song Wu, Yan Zheng, Yazhou Ren, Jing He, Xiaorong Pu, Shudong Huang, Zhifeng Hao, Lifang He:
Self-Weighted Contrastive Fusion for Deep Multi-View Clustering. IEEE Trans. Multim. 26: 9150-9162 (2024) - [c38]Jiaxin Huang, Qi Wu, Yazhou Ren, Fan Yang, Aodi Yang, Qianqian Yang, Xiaorong Pu:
Sparse Bayesian Deep Learning for Cross Domain Medical Image Reconstruction. AAAI 2024: 2339-2347 - [c37]Jingyu Pu, Chenhang Cui, Xinyue Chen, Yazhou Ren, Xiaorong Pu, Zhifeng Hao, Philip S. Yu, Lifang He:
Adaptive Feature Imputation with Latent Graph for Deep Incomplete Multi-View Clustering. AAAI 2024: 14633-14641 - [c36]Zichen Wen, Yawen Ling, Yazhou Ren, Tianyi Wu, Jianpeng Chen, Xiaorong Pu, Zhifeng Hao, Lifang He:
Homophily-Related: Adaptive Hybrid Graph Filter for Multi-View Graph Clustering. AAAI 2024: 15841-15849 - [c35]JunLong Ke, Zichen Wen, Yechenhao Yang, Chenhang Cui, Yazhou Ren, Xiaorong Pu, Lifang He:
Integrating Vision-Language Semantic Graphs in Multi-View Clustering. IJCAI 2024: 4273-4281 - [c34]Yazhou Ren, Jingyu Pu, Chenhang Cui, Yan Zheng, Xinyue Chen, Xiaorong Pu, Lifang He:
Dynamic Weighted Graph Fusion for Deep Multi-View Clustering. IJCAI 2024: 4842-4850 - [c33]Yan Zheng, Song Wu, Junyu Lin, Yazhou Ren, Jing He, Xiaorong Pu, Lifang He:
Cross-View Contrastive Fusion for Enhanced Molecular Property Prediction. IJCAI 2024: 5617-5625 - [c32]Zichen Wen, Tianyi Wu, Yazhou Ren, Yawen Ling, Chenhang Cui, Xiaorong Pu, Lifang He:
Dual-Optimized Adaptive Graph Reconstruction for Multi-View Graph Clustering. ACM Multimedia 2024: 1819-1828 - [c31]Junyu Lin, Yan Zheng, Xinyue Chen, Yazhou Ren, Xiaorong Pu, Jing He:
Cross-view Contrastive Unification Guides Generative Pretraining for Molecular Property Prediction. ACM Multimedia 2024: 2108-2116 - [c30]Song Wu, Xiaoyu Wei, Xinyue Chen, Yazhou Ren, Jing He, Xiaorong Pu:
Cross-View Mutual Learning for Semi-Supervised Medical Image Segmentation. ACM Multimedia 2024: 9253-9261 - [c29]Xinyue Chen, Yazhou Ren, Jie Xu, Fangfei Lin, Xiaorong Pu, Yang Yang:
Bridging Gaps: Federated Multi-View Clustering in Heterogeneous Hybrid Views. NeurIPS 2024 - [i16]Zichen Wen, Yawen Ling, Yazhou Ren, Tianyi Wu, Jianpeng Chen, Xiaorong Pu, Zhifeng Hao, Lifang He:
Homophily-Related: Adaptive Hybrid Graph Filter for Multi-View Graph Clustering. CoRR abs/2401.02682 (2024) - [i15]Xinyue Chen, Yazhou Ren, Jie Xu, Fangfei Lin, Xiaorong Pu, Yang Yang:
Bridging Gaps: Federated Multi-View Clustering in Heterogeneous Hybrid Views. CoRR abs/2410.09484 (2024) - [i14]Zichen Wen, Tianyi Wu, Yazhou Ren, Yawen Ling, Chenhang Cui, Xiaorong Pu, Lifang He:
Dual-Optimized Adaptive Graph Reconstruction for Multi-View Graph Clustering. CoRR abs/2410.22983 (2024) - 2023
- [j21]Jiaxin Huang, Kecheng Chen, Yazhou Ren, Jiayu Sun, Yanmei Wang, Tao Tao, Xiaorong Pu:
CDDnet: Cross-domain denoising network for low-dose CT image via local and global information alignment. Comput. Biol. Medicine 163: 107219 (2023) - [j20]Zhimeng Yang, Yazhou Ren, Zirui Wu, Ming Zeng, Jie Xu, Yang Yang, Xiaorong Pu, Philip S. Yu, Lifang He:
DC-FUDA: Improving deep clustering via fully unsupervised domain adaptation. Neurocomputing 526: 109-120 (2023) - [j19]Jie Xu, Yazhou Ren, Huayi Tang, Zhimeng Yang, Lili Pan, Yang Yang, Xiaorong Pu, Philip S. Yu, Lifang He:
Self-Supervised Discriminative Feature Learning for Deep Multi-View Clustering. IEEE Trans. Knowl. Data Eng. 35(7): 7470-7482 (2023) - [c28]Zongmo Huang, Yazhou Ren, Xiaorong Pu, Shudong Huang, Zenglin Xu, Lifang He:
Self-Supervised Graph Attention Networks for Deep Weighted Multi-View Clustering. AAAI 2023: 7936-7943 - [c27]Yawen Ling, Jianpeng Chen, Yazhou Ren, Xiaorong Pu, Jie Xu, Xiaofeng Zhu, Lifang He:
Dual Label-Guided Graph Refinement for Multi-View Graph Clustering. AAAI 2023: 8791-8798 - [c26]Chenhang Cui, Yazhou Ren, Jingyu Pu, Xiaorong Pu, Lifang He:
Deep Multi-view Subspace Clustering with Anchor Graph. IJCAI 2023: 3577-3585 - [c25]Xinyue Chen, Jie Xu, Yazhou Ren, Xiaorong Pu, Ce Zhu, Xiaofeng Zhu, Zhifeng Hao, Lifang He:
Federated Deep Multi-View Clustering with Global Self-Supervision. ACM Multimedia 2023: 3498-3506 - [c24]Zhenqian Wu, Yazhou Ren, Xiaorong Pu, Zhifeng Hao, Lifang He:
Generative Neutral Features-Disentangled Learning for Facial Expression Recognition. ACM Multimedia 2023: 4300-4308 - [c23]Chenhang Cui, Yazhou Ren, Jingyu Pu, Jiawei Li, Xiaorong Pu, Tianyi Wu, Yutao Shi, Lifang He:
A Novel Approach for Effective Multi-View Clustering with Information-Theoretic Perspective. NeurIPS 2023 - [i13]Zhenqian Wu, Xiaoyuan Li, Yazhou Ren, Xiaorong Pu, Xiaofeng Zhu, Lifang He:
Self-Paced Neutral Expression-Disentangled Learning for Facial Expression Recognition. CoRR abs/2303.11840 (2023) - [i12]Chenhang Cui, Yazhou Ren, Jingyu Pu, Xiaorong Pu, Lifang He:
Deep Multi-View Subspace Clustering with Anchor Graph. CoRR abs/2305.06939 (2023) - [i11]Xinyue Chen, Jie Xu, Yazhou Ren, Xiaorong Pu, Ce Zhu, Xiaofeng Zhu, Zhifeng Hao, Lifang He:
Federated Deep Multi-View Clustering with Global Self-Supervision. CoRR abs/2309.13697 (2023) - [i10]Chenhang Cui, Yazhou Ren, Jingyu Pu, Jiawei Li, Xiaorong Pu, Tianyi Wu, Yutao Shi, Lifang He:
A Novel Approach for Effective Multi-View Clustering with Information-Theoretic Perspective. CoRR abs/2309.13989 (2023) - 2022
- [j18]Zongmo Huang, Xiaorong Pu, Gongshun Tang, Ming Ping, Guo Jiang, Mengjie Wang, Xiaoyu Wei, Yazhou Ren:
BS-80K: The first large open-access dataset of bone scan images. Comput. Biol. Medicine 151(Part): 106221 (2022) - [j17]Xiaorong Pu, Peng Yi, Kecheng Chen, Zhaoqi Ma, Di Zhao, Yazhou Ren:
EEGDnet: Fusing non-local and local self-similarity for EEG signal denoising with transformer. Comput. Biol. Medicine 151(Part): 106248 (2022) - [j16]Kecheng Chen, Xiaorong Pu, Yazhou Ren, Hang Qiu, Fanqiang Lin, Saimin Zhang:
TEMDnet: A Novel Deep Denoising Network for Transient Electromagnetic Signal With Signal-to-Image Transformation. IEEE Trans. Geosci. Remote. Sens. 60: 1-18 (2022) - [c22]Jiaxin Huang, Kecheng Chen, Jiayu Sun, Xiaorong Pu, Yazhou Ren:
Cross Domain Low-Dose CT Image Denoising With Semantic Information Alignment. ICIP 2022: 4228-4232 - [c21]Jianpeng Chen, Zhimeng Yang, Jingyu Pu, Yazhou Ren, Xiaorong Pu, Li Gao, Lifang He:
Shared-Attribute Multi-Graph Clustering with Global Self-Attention. ICONIP (1) 2022: 51-63 - [c20]Mengjie Wang, Yuxin Zhu, Xiaoyu Wei, Kecheng Chen, Xiaorong Pu, Chao Li, Yazhou Ren:
ClusterUDA: Latent Space Clustering in Unsupervised Domain Adaption for Pulmonary Nodule Detection. ICONIP (6) 2022: 446-457 - [c19]Jianjian Shao, Zhenqian Wu, Yuanyan Luo, Shudong Huang, Xiaorong Pu, Yazhou Ren:
Self-Paced Label Distribution Learning for In-The-Wild Facial Expression Recognition. ACM Multimedia 2022: 161-169 - [i9]Zongmo Huang, Yazhou Ren, Xiaorong Pu, Lifang He:
Deep Embedded Multi-View Clustering via Jointly Learning Latent Representations and Graphs. CoRR abs/2205.03803 (2022) - [i8]Yazhou Ren, Jingyu Pu, Zhimeng Yang, Jie Xu, Guofeng Li, Xiaorong Pu, Philip S. Yu, Lifang He:
Deep Clustering: A Comprehensive Survey. CoRR abs/2210.04142 (2022) - [i7]Jianpeng Chen, Yawen Ling, Jie Xu, Yazhou Ren, Shudong Huang, Xiaorong Pu, Lifang He:
Variational Graph Generator for Multi-View Graph Clustering. CoRR abs/2210.07011 (2022) - 2021
- [j15]Cong Li, Zhuo Zhang, Yazhou Ren, Hu Nie, Yuqing Lei, Hang Qiu, Zenglin Xu, Xiaorong Pu:
Machine learning based early mortality prediction in the emergency department. Int. J. Medical Informatics 155: 104570 (2021) - [j14]Kun Long, Lei Tang, Xiaorong Pu, Yazhou Ren, Mingxiu Zheng, Li Gao, Chunjiang Song, Su Han, Min Zhou, Fengbin Deng:
Probability-based Mask R-CNN for pulmonary embolism detection. Neurocomputing 422: 345-353 (2021) - [j13]Zongmo Huang, Yazhou Ren, Xiaorong Pu, Lili Pan, Dezhong Yao, Guoxian Yu:
Dual self-paced multi-view clustering. Neural Networks 140: 184-192 (2021) - [c18]Jie Xu, Yazhou Ren, Huayi Tang, Xiaorong Pu, Xiaofeng Zhu, Ming Zeng, Lifang He:
Multi-VAE: Learning Disentangled View-common and View-peculiar Visual Representations for Multi-view Clustering. ICCV 2021: 9214-9223 - [c17]Zongmo Huang, Yazhou Ren, Xiaorong Pu, Lifang He:
Non-Linear Fusion for Self-Paced Multi-View Clustering. ACM Multimedia 2021: 3211-3219 - [c16]Kecheng Chen, Kun Long, Yazhou Ren, Jiayu Sun, Xiaorong Pu:
Lesion-Inspired Denoising Network: Connecting Medical Image Denoising and Lesion Detection. ACM Multimedia 2021: 3283-3292 - [i6]Jie Xu, Yazhou Ren, Huayi Tang, Zhimeng Yang, Lili Pan, Yang Yang, Xiaorong Pu:
Self-supervised Discriminative Feature Learning for Multi-view Clustering. CoRR abs/2103.15069 (2021) - [i5]Kecheng Chen, Kun Long, Yazhou Ren, Jiayu Sun, Xiaorong Pu:
Lesion-Inspired Denoising Network: Connecting Medical Image Denoising and Lesion Detection. CoRR abs/2104.08845 (2021) - [i4]Zongmo Huang, Yazhou Ren, Xiaorong Pu, Lifang He:
Non-Linear Fusion for Self-Paced Multi-View Clustering. CoRR abs/2104.09255 (2021) - [i3]Kecheng Chen, Jiayu Sun, Jiang Shen, Jixiang Luo, Xinyu Zhang, Xuelin Pan, Dongsheng Wu, Yue Zhao, Miguel Bento, Yazhou Ren, Xiaorong Pu:
RIDnet: Radiologist-Inspired Deep Neural Network for Low-dose CT Denoising. CoRR abs/2105.07146 (2021) - [i2]Peng Yi, Kecheng Chen, Zhaoqi Ma, Di Zhao, Xiaorong Pu, Yazhou Ren:
EEGDnet: Fusing Non-Local and Local Self-Similarity for 1-D EEG Signal Denoising with 2-D Transformer. CoRR abs/2109.04235 (2021) - 2020
- [j12]Zhao Kang, Guoxin Shi, Shudong Huang, Wenyu Chen, Xiaorong Pu, Joey Tianyi Zhou, Zenglin Xu:
Multi-graph fusion for multi-view spectral clustering. Knowl. Based Syst. 189 (2020) - [c15]Kecheng Chen, Xiaorong Pu, Yazhou Ren, Hang Qiu, Haoliang Li, Jiayu Sun:
Low-Dose CT Image Blind Denoising with Graph Convolutional Networks. ICONIP (1) 2020: 423-435 - [c14]Kecheng Chen, Jiaxin Huang, Jiayu Sun, Yazhou Ren, Xiaorong Pu:
Task-Driven Deep Learning for LDCT Image Denoising. ISICDM 2020: 35-39
2010 – 2019
- 2019
- [j11]Zongmo Huang, Yazhou Ren, Wenli Liu, Xiaorong Pu:
Self-Paced Multi-View Clustering via a Novel Soft Weighted Regularizer. IEEE Access 7: 168629-168636 (2019) - [c13]Xiaorong Pu, Kun Long, Kecheng Chen, Mei Xie, Jiancheng Lv, Dezhong Peng:
A Semantic-Based Short-Text Fast Clustering Method on Hotline Records in Chengdu. DASC/PiCom/DataCom/CyberSciTech 2019: 516-521 - [c12]Xijue Zhang, Wanling Li, Wangshu Shen, Lin Zhang, Xiaorong Pu, Lei Chen:
Automatic Identification of Alzheimer's Disease and Epilepsy Based on MRI. ICTAI 2019: 614-620 - [i1]Zhao Kang, Guoxin Shi, Shudong Huang, Wenyu Chen, Xiaorong Pu, Joey Tianyi Zhou, Zenglin Xu:
Multi-graph Fusion for Multi-view Spectral Clustering. CoRR abs/1909.06940 (2019) - 2018
- [j10]Luping Ji, Yan Ren, Xiaorong Pu, Guisong Liu:
Median local ternary patterns optimized with rotation-invariant uniform-three mapping for noisy texture classification. Pattern Recognit. 79: 387-401 (2018) - [j9]Luping Ji, Yan Ren, Guisong Liu, Xiaorong Pu:
Training-Based Gradient LBP Feature Models for Multiresolution Texture Classification. IEEE Trans. Cybern. 48(9): 2683-2696 (2018) - 2017
- [c11]Xiaorong Pu, Yan Li, Hang Qiu, Yinhui Sun:
Deep Semantics-Preserving Hashing Based Skin Lesion Image Retrieval. ISNN (2) 2017: 282-289 - 2015
- [j8]Luping Ji, Xiaorong Pu, Hong Qu, Guisong Liu:
One-dimensional pairwise CNN for the global alignment of two DNA sequences. Neurocomputing 149: 505-514 (2015) - [j7]Xiaorong Pu, Ke Fan, Xiong Chen, Luping Ji, Zhihu Zhou:
Facial expression recognition from image sequences using twofold random forest classifier. Neurocomputing 168: 1173-1180 (2015) - 2011
- [c10]Ju Jin, Yongbin Yu, Yijing Liu, Xiaorong Pu, Xiaofeng Liao:
Chaotic Modeling of Time-Delay Memristive System. ICIC (1) 2011: 634-641
2000 – 2009
- 2009
- [j6]Dong Huang, Zhang Yi, Xiaorong Pu:
A New Incremental PCA Algorithm With Application to Visual Learning and Recognition. Neural Process. Lett. 30(3): 171-185 (2009) - [j5]Dong Huang, Zhang Yi, Xiaorong Pu:
Manifold-Based Learning and Synthesis. IEEE Trans. Syst. Man Cybern. Part B 39(3): 592-606 (2009) - [c9]Luping Ji, Xiaorong Pu, Guisong Liu:
Modified PCNN Filtering for Fingerprint Enhancement. ICNC (2) 2009: 404-408 - 2008
- [j4]Dong Huang, Zhang Yi, Xiaorong Pu:
A new local PCA-SOM algorithm. Neurocomputing 71(16-18): 3544-3552 (2008) - [j3]Xiaorong Pu, Zhang Yi, Zhongjie Fang:
Holistic and partial facial features fusion by binary particle swarm optimization. Neural Comput. Appl. 17(5-6): 481-488 (2008) - [c8]Dong Huang, Zhang Yi, Xiaorong Pu:
A kernel view of manifold analysis for face images. ISKE 2008: 650-655 - [c7]Chengfu Yang, Xiaorong Pu, Xiaobin Wang:
Efficient Speech Emotion Recognition Based on Multisurface Proximal Support Vector Machine. RAM 2008: 55-60 - [c6]Hanhan Cong, Chengfu Yang, Xiaorong Pu:
Efficient Speaker Recognition based on Multi-class Twin Support Vector Machines and GMMs. RAM 2008: 348-352 - 2007
- [j2]Yongguo Liu, Xiaorong Pu, Yi-Dong Shen, Zhang Yi, Xiaofeng Liao:
Clustering Using an Improved Hybrid Genetic Algorithm. Int. J. Artif. Intell. Tools 16(6): 919-934 (2007) - [j1]Luping Ji, Zhang Yi, Lifeng Shang, Xiaorong Pu:
Binary Fingerprint Image Thinning Using Template-Based PCNNs. IEEE Trans. Syst. Man Cybern. Part B 37(5): 1407-1413 (2007) - [c5]Xiaorong Pu, Zhongjie Fang, Yongguo Liu:
Multilayer Perceptron Networks Training Using Particle Swarm Optimization with Minimum Velocity Constraints. ISNN (3) 2007: 237-245 - 2006
- [c4]Luping Ji, Zhang Yi, Xiaorong Pu:
Fingerprint Classification by SPCNN and Combined LVQ Networks. ICNC (1) 2006: 395-398 - [c3]Xiaorong Pu, Zhang Yi, Yue Wu:
Recognizing Partially Damaged Facial Images by Subspace Auto-associative Memories. ISNN (2) 2006: 49-54 - [c2]Wei Zhou, Xiaorong Pu, Ziming Zheng:
Parts-Based Holistic Face Recognition with RBF Neural Networks. ISNN (2) 2006: 110-115 - 2005
- [c1]Xiaorong Pu, Zhang Yi, Ziming Zheng, Wei Zhou, Mao Ye:
Face Recognition Using Fisher Non-negative Matrix Factorization with Sparseness Constraints. ISNN (2) 2005: 112-117
Coauthor Index
[j25] [j24] [j23] [j22] [c38] [c37] [c36] [c35] [c34] [c33] [c32] [c31] [c30] [c29] [i16] [i15] [i14] [j21] [j20] [j19] [c28] [c27] [c26] [c25] [c24] [c23] [i13] [i12] [i11] [i10] [j18] [j17] [j16] [c22] [c21] [c20] [c19] [i9] [i8] [i7] [j15] [j14] [j13] [c18] [c17] [c16] [i6] [i5] [i4] [i3] [i2] [c15] [c14] [j11]
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