Random subspace based semi-supervised feature selection. - Ya-Zhou Ren 001; Guoji Zhang; Guo-Xian Yu (ICMLC, 2011)

Active delay variation control for improving fault tolerance in an avionics network. - Hairui Zhou; Jian Li 021; Yazhou Ren 001; Lina He; Fei Hu (WFCS, 2012)

Local and global structure preserving based feature selection. - Ya-Zhou Ren 001; Guoji Zhang; Guo-Xian Yu; Xuan Li (Neurocomputing, 2012)

Weighted-Object Ensemble Clustering. - Ya-Zhou Ren 001; Carlotta Domeniconi; Guoji Zhang; Guo-Xian Yu (ICDM, 2013)

Exploiting neighbors' latent correlation for link prediction in complex network. - Jiehua Wu; Guoji Zhang; Ya-Zhou Ren 001; Xia-Yan Zhang; Guo-Xian Yu (ICMLC, 2013)

Boosted Mean Shift Clustering. - Ya-Zhou Ren 001; Uday Kamath; Carlotta Domeniconi; Guoji Zhang (ECML/PKDD (2), 2014)

A Weighted Adaptive Mean Shift Clustering Algorithm. - Ya-Zhou Ren 001; Carlotta Domeniconi; Guoji Zhang; Guo-Xian Yu (SDM, 2014)

Regularized Multi-source Matrix Factorization for Diagnosis of Alzheimer's Disease. - Xiaofan Que; Yazhou Ren 001; Jiayu Zhou; Zenglin Xu (ICONIP (1), 2017)

Semi-supervised Multi-label Linear Discriminant Analysis. - Yanming Yu; Guoxian Yu; Xia Chen 004; Ya-Zhou Ren 001 (ICONIP (1), 2017)

Robust Softmax Regression for Multi-class Classification with Self-Paced Learning. - Yazhou Ren 001; Peng Zhao; Yongpan Sheng; Dezhong Yao 001; Zenglin Xu (IJCAI, 2017)

Learning from semantically dependent multi-tasks. - Bin Liu 022; Zenglin Xu; Bo Dai 001; Haoli Bai; Xianghong Fang; Yazhou Ren 001; Shandian Zhe (IJCNN, 2017)

Balanced self-paced learning with feature corruption. - Yazhou Ren 001; Peng Zhao; Zenglin Xu; Dezhong Yao 001 (IJCNN, 2017)

A balanced modularity maximization link prediction model in social networks. - Jiehua Wu; Guoji Zhang; Ya-Zhou Ren 001 (Inf. Process. Manag., 2017)

Weighted Local Naive Bayes Link Prediction. - Jiehua Wu; Guoji Zhang; Ya-Zhou Ren 001; Xia-Yan Zhang; Qiao Yang (J. Inf. Process. Syst., 2017)

Weighted-object ensemble clustering: methods and analysis. - Ya-Zhou Ren 001; Carlotta Domeniconi; Guoji Zhang; Guo-Xian Yu (Knowl. Inf. Syst., 2017)

Self-Paced Multi-Task Multi-View Capped-norm Clustering. - Yazhou Ren 001; Xin Yan; Zechuan Hu; Zenglin Xu (ICONIP (4), 2018)

Semi-supervised DenPeak Clustering with Pairwise Constraints. - Yazhou Ren 001; Xiaohui Hu; Ke Shi; Guoxian Yu; Dezhong Yao 001; Zenglin Xu (PRICAI (1), 2018)

Latent Dirichlet Allocation in Generative Adversarial Networks. - Lili Pan 001; Shen Cheng; Jian Liu; Yazhou Ren 001; Zenglin Xu (CoRR, 2018)

Robust multi-view data clustering with multi-view capped-norm K-means. - Shudong Huang; Yazhou Ren 001; Zenglin Xu (Neurocomputing, 2018)

Ranking-Based Deep Cross-Modal Hashing. - Xuanwu Liu; Guoxian Yu; Carlotta Domeniconi; Jun Wang 035; Yazhou Ren 001; Maozu Guo 001 (AAAI, 2019)

Self-Paced Multi-View Clustering via a Novel Soft Weighted Regularizer. - Zongmo Huang; Yazhou Ren 001; Wenli Liu; Xiaorong Pu (IEEE Access, 2019)

Stratified Feature Sampling for Semi-Supervised Ensemble Clustering. - Jialin Tian; Yazhou Ren 001; Xiang Cheng (IEEE Access, 2019)

Self-Paced Deep Regression Forests for Facial Age Estimation. - Shijie Ai; Yazhou Ren 001; Lili Pan 001 (CoRR, 2019)

Semi-supervised deep embedded clustering. - Yazhou Ren 001; Kangrong Hu; Xinyi Dai; Lili Pan 001; Steven C. H. Hoi; Zenglin Xu (Neurocomputing, 2019)

Parallel boosted clustering. - Yazhou Ren 001; Uday Kamath; Carlotta Domeniconi; Zenglin Xu (Neurocomputing, 2019)

Self-paced multi-task clustering. - Yazhou Ren 001; Xiaofan Que; Dezhong Yao 001; Zenglin Xu (Neurocomputing, 2019)

Self-paced and soft-weighted nonnegative matrix factorization for data representation. - Shudong Huang; Peng Zhao; Yazhou Ren 001; Tianrui Li 001; Zenglin Xu (Knowl. Based Syst., 2019)

Drug repositioning based on individual bi-random walks on a heterogeneous network. - Yuehui Wang; Maozu Guo 001; Yazhou Ren 001; Lianyin Jia; Guoxian Yu (BMC Bioinform., 2019)

Self-Paced Deep Regression Forests with Consideration on Underrepresented Examples. - Lili Pan 001; Shijie Ai; Yazhou Ren 001; Zenglin Xu (ECCV (30), 2020)

Low-Dose CT Image Blind Denoising with Graph Convolutional Networks. - Kecheng Chen; Xiaorong Pu; Yazhou Ren 001; Hang Qiu 002; Haoliang Li; Jiayu Sun (ICONIP (1), 2020)

Task-Driven Deep Learning for LDCT Image Denoising. - Kecheng Chen; Jiaxin Huang 006; Jiayu Sun; Yazhou Ren 001; Xiaorong Pu (ISICDM, 2020)

Improving Contextual Language Models for Response Retrieval in Multi-Turn Conversation. - Junyu Lu; Xiancong Ren; Yazhou Ren 001; Ao Liu 008; Zenglin Xu (SIGIR, 2020)

Self-Paced Deep Regression Forests with Consideration on Underrepresented Samples. - Lili Pan 001; Shijie Ai; Yazhou Ren 001; Zenglin Xu (CoRR, 2020)

A Subword Guided Neural Word Segmentation Model for Sindhi. - Wazir Ali; Jay Kumar; Zenglin Xu; Congjian Luo; Junyu Lu; Junming Shao; Rajesh Kumar 014; Yazhou Ren 001 (CoRR, 2020)

Regularized nonnegative matrix factorization with adaptive local structure learning. - Shudong Huang; Zenglin Xu; Zhao Kang 001; Yazhou Ren 001 (Neurocomputing, 2020)

Self-paced and auto-weighted multi-view clustering. - Yazhou Ren 001; Shudong Huang; Peng Zhao; Minghao Han; Zenglin Xu (Neurocomputing, 2020)

Deep density-based image clustering. - Yazhou Ren 001; Ni Wang; Mingxia Li; Zenglin Xu (Knowl. Based Syst., 2020)

Latent Dirichlet allocation based generative adversarial networks. - Lili Pan 001; Shen Cheng; Jian Liu; Peijun Tang; Bowen Wang; Yazhou Ren 001; Zenglin Xu (Neural Networks, 2020)

Multi-VAE: Learning Disentangled View-common and View-peculiar Visual Representations for Multi-view Clustering. - Jie Xu 044; Yazhou Ren 001; Huayi Tang; Xiaorong Pu; Xiaofeng Zhu 001; Ming Zeng 009; Lifang He 001 (ICCV, 2021)

Crowdsourcing with Self-paced Workers. - Xiangping Kang; Guoxian Yu; Carlotta Domeniconi; Jun Wang 035; Wei Guo 017; Yazhou Ren 001; Lizhen Cui (ICDM, 2021)

Lesion-Inspired Denoising Network: Connecting Medical Image Denoising and Lesion Detection. - Kecheng Chen; Kun Long; Yazhou Ren 001; Jiayu Sun; Xiaorong Pu (ACM Multimedia, 2021)

Non-Linear Fusion for Self-Paced Multi-View Clustering. - Zongmo Huang; Yazhou Ren 001; Xiaorong Pu; Lifang He 001 (ACM Multimedia, 2021)

Self-supervised Discriminative Feature Learning for Multi-view Clustering. - Jie Xu 044; Yazhou Ren 001; Huayi Tang; Zhimeng Yang; Lili Pan 001; Yang Yang 002; Xiaorong Pu (CoRR, 2021)

RIDnet: Radiologist-Inspired Deep Neural Network for Low-dose CT Denoising. - Kecheng Chen; Jiayu Sun; Jiang Shen; Jixiang Luo; Xinyu Zhang; Xuelin Pan; Dongsheng Wu; Yue Zhao; Miguel Bento; Yazhou Ren 001; Xiaorong Pu (CoRR, 2021)

Graph Attention Networks with LSTM-based Path Reweighting. - Jianpeng Chen; Yujing Wang; Ming Zeng 009; Zongyi Xiang; Yazhou Ren 001 (CoRR, 2021)

Contrastive Multi-Modal Clustering. - Jie Xu 044; Huayi Tang; Yazhou Ren 001; Xiaofeng Zhu 001; Lifang He 001 (CoRR, 2021)

EEGDnet: Fusing Non-Local and Local Self-Similarity for 1-D EEG Signal Denoising with 2-D Transformer. - Peng Yi; Kecheng Chen; Zhaoqi Ma; Di Zhao; Xiaorong Pu; Yazhou Ren 001 (CoRR, 2021)

Self-Paced Deep Regression Forests with Consideration on Ranking Fairness. - Lili Pan 001; Mingming Meng; Yazhou Ren 001; Yali Zheng; Zenglin Xu (CoRR, 2021)

Machine learning based early mortality prediction in the emergency department. - Cong Li; Zhuo Zhang 007; Yazhou Ren 001; Hu Nie; Yuqing Lei; Hang Qiu 002; Zenglin Xu; Xiaorong Pu (Int. J. Medical Informatics, 2021)

Probability-based Mask R-CNN for pulmonary embolism detection. - Kun Long; Lei Tang; Xiaorong Pu; Yazhou Ren 001; Mingxiu Zheng; Li Gao; Chunjiang Song; Su Han; Min Zhou; Fengbin Deng (Neurocomputing, 2021)

Deep embedded multi-view clustering with collaborative training. - Jie Xu 044; Yazhou Ren 001; Guofeng Li; Lili Pan 001; Ce Zhu; Zenglin Xu (Inf. Sci., 2021)

Dual self-paced multi-view clustering. - Zongmo Huang; Yazhou Ren 001; Xiaorong Pu; Lili Pan 001; Dezhong Yao 001; Guoxian Yu (Neural Networks, 2021)

Deep Incomplete Multi-View Clustering via Mining Cluster Complementarity. - Jie Xu 044; Chao Li 034; Yazhou Ren 001; Liang Peng; Yujie Mo; Xiaoshuang Shi; Xiaofeng Zhu 001 (AAAI, 2022)

Multi-level Feature Learning for Contrastive Multi-view Clustering. - Jie Xu 044; Huayi Tang; Yazhou Ren 001; Liang Peng; Xiaofeng Zhu 001; Lifang He 001 (CVPR, 2022)

Cross Domain Low-Dose CT Image Denoising With Semantic Information Alignment. - Jiaxin Huang 006; Kecheng Chen; Jiayu Sun; Xiaorong Pu; Yazhou Ren 001 (ICIP, 2022)

Shared-Attribute Multi-Graph Clustering with Global Self-Attention. - Jianpeng Chen; Zhimeng Yang; Jingyu Pu; Yazhou Ren 001; Xiaorong Pu; Li Gao; Lifang He 001 (ICONIP (1), 2022)

ClusterUDA: Latent Space Clustering in Unsupervised Domain Adaption for Pulmonary Nodule Detection. - Mengjie Wang; Yuxin Zhu; Xiaoyu Wei; Kecheng Chen; Xiaorong Pu; Chao Li 034; Yazhou Ren 001 (ICONIP (6), 2022)

Contrastive Multi-view Hyperbolic Hierarchical Clustering. - Fangfei Lin; Bing Bai; Kun Bai; Yazhou Ren 001; Peng Zhao; Zenglin Xu (IJCAI, 2022)

Learning Smooth Representation for Multi-view Subspace Clustering. - Shudong Huang; Yixi Liu; Yazhou Ren 001; Ivor W. Tsang; Zenglin Xu; Jiancheng Lv 001 (ACM Multimedia, 2022)

Self-Paced Label Distribution Learning for In-The-Wild Facial Expression Recognition. - Jianjian Shao; Zhenqian Wu; Yuanyan Luo; Shudong Huang; Xiaorong Pu; Yazhou Ren 001 (ACM Multimedia, 2022)

Multi-view Subspace Clustering on Topological Manifold. - Shudong Huang; Hongjie Wu; Yazhou Ren 001; Ivor W. Tsang; Zenglin Xu; Wentao Feng; Jiancheng Lv 001 (NeurIPS, 2022)

BS-80K: The first large open-access dataset of bone scan images. - Zongmo Huang; Xiaorong Pu; Gongshun Tang; Ming Ping; Guo Jiang; Mengjie Wang; Xiaoyu Wei; Yazhou Ren 001 (Comput. Biol. Medicine, 2022)

EEGDnet: Fusing non-local and local self-similarity for EEG signal denoising with transformer. - Xiaorong Pu; Peng Yi; Kecheng Chen; Zhaoqi Ma; Di Zhao; Yazhou Ren 001 (Comput. Biol. Medicine, 2022)

Deep Embedded Multi-View Clustering via Jointly Learning Latent Representations and Graphs. - Zongmo Huang; Yazhou Ren 001; Xiaorong Pu; Lifang He 001 (CoRR, 2022)

Variational Graph Generator for Multi-View Graph Clustering. - Jianpeng Chen; Yawen Ling; Jie Xu 044; Yazhou Ren 001; Shudong Huang; Xiaorong Pu; Lifang He 001 (CoRR, 2022)

Self-paced annotations of crowd workers. - Xiangping Kang; Guoxian Yu; Carlotta Domeniconi; Jun Wang 035; Wei Guo 017; Yazhou Ren 001; Xiayan Zhang; Lizhen Cui (Knowl. Inf. Syst., 2022)

TEMDnet: A Novel Deep Denoising Network for Transient Electromagnetic Signal With Signal-to-Image Transformation. - Kecheng Chen; Xiaorong Pu; Yazhou Ren 001; Hang Qiu 002; Fanqiang Lin; Saimin Zhang (IEEE Trans. Geosci. Remote. Sens., 2022)

Self-Supervised Graph Attention Networks for Deep Weighted Multi-View Clustering. - Zongmo Huang; Yazhou Ren 001; Xiaorong Pu; Shudong Huang; Zenglin Xu; Lifang He 001 (AAAI, 2023)

Dual Label-Guided Graph Refinement for Multi-View Graph Clustering. - Yawen Ling; Jianpeng Chen; Yazhou Ren 001; Xiaorong Pu; Jie Xu 044; Xiaofeng Zhu 001; Lifang He 001 (AAAI, 2023)

ViLPAct: A Benchmark for Compositional Generalization on Multimodal Human Activities. - Terry Yue Zhuo; Yaqing Liao; Yuecheng Lei; Lizhen Qu; Gerard de Melo; Xiaojun Chang; Yazhou Ren 001; Zenglin Xu (EACL (Findings), 2023)

MHCN: A Hyperbolic Neural Network Model for Multi-view Hierarchical Clustering. - Fangfei Lin; Bing Bai; Yiwen Guo; Hao Chen 003; Yazhou Ren 001; Zenglin Xu (ICCV, 2023)

Deep Multi-view Subspace Clustering with Anchor Graph. - Chenhang Cui; Yazhou Ren 001; Jingyu Pu; Xiaorong Pu; Lifang He 001 (IJCAI, 2023)

Federated Deep Multi-View Clustering with Global Self-Supervision. - Xinyue Chen; Jie Xu 044; Yazhou Ren 001; Xiaorong Pu; Ce Zhu; Xiaofeng Zhu 001; Zhifeng Hao; Lifang He 001 (ACM Multimedia, 2023)

Preserving Local and Global Information: An Effective Metric-based Subspace Clustering. - Yixi Liu; Yuze Tan; Hongjie Wu; Shudong Huang; Yazhou Ren 001; Jiancheng Lv 001 (ACM Multimedia, 2023)

Generative Neutral Features-Disentangled Learning for Facial Expression Recognition. - Zhenqian Wu; Yazhou Ren 001; Xiaorong Pu; Zhifeng Hao; Lifang He 001 (ACM Multimedia, 2023)

A Novel Approach for Effective Multi-View Clustering with Information-Theoretic Perspective. - Chenhang Cui; Yazhou Ren 001; Jingyu Pu; Jiawei Li; Xiaorong Pu; Tianyi Wu; Yutao Shi; Lifang He 001 (NeurIPS, 2023)

Self-Weighted Contrastive Learning among Multiple Views for Mitigating Representation Degeneration. - Jie Xu 044; Shuo Chen 003; Yazhou Ren 001; Xiaoshuang Shi; Hengtao Shen; Gang Niu 001; Xiaofeng Zhu 001 (NeurIPS, 2023)

Self-Paced Neutral Expression-Disentangled Learning for Facial Expression Recognition. - Zhenqian Wu; Xiaoyuan Li; Yazhou Ren 001; Xiaorong Pu; Xiaofeng Zhu 001; Lifang He 001 (CoRR, 2023)

Investigating and Mitigating the Side Effects of Noisy Views in Multi-view Clustering in Practical Scenarios. - Jie Xu 044; Gang Niu 001; Xiaolong Wang; Yazhou Ren 001; Lei Feng 006; Xiaoshuang Shi; Heng Tao Shen; Xiaofeng Zhu 001 (CoRR, 2023)

Edge enhancement improves adversarial robustness in image classification. - Lirong He; Qingzhong Ai; Yuqing Lei; Lili Pan 001; Yazhou Ren 001; Zenglin Xu (Neurocomputing, 2023)

Adaptive Feature Projection With Distribution Alignment for Deep Incomplete Multi-View Clustering. - Jie Xu 044; Chao Li 034; Liang Peng; Yazhou Ren 001; Xiaoshuang Shi; Heng Tao Shen; Xiaofeng Zhu 001 (IEEE Trans. Image Process., 2023)

DC-FUDA: Improving deep clustering via fully unsupervised domain adaptation. - Zhimeng Yang; Yazhou Ren 001; Zirui Wu; Ming Zeng 009; Jie Xu 044; Yang Yang 002; Xiaorong Pu; Philip S. Yu; Lifang He 001 (Neurocomputing, 2023)

Self-Supervised Discriminative Feature Learning for Deep Multi-View Clustering. - Jie Xu 044; Yazhou Ren 001; Huayi Tang; Zhimeng Yang; Lili Pan 001; Yang Yang 002; Xiaorong Pu; Philip S. Yu; Lifang He 001 (IEEE Trans. Knowl. Data Eng., 2023)

CDDnet: Cross-domain denoising network for low-dose CT image via local and global information alignment. - Jiaxin Huang 006; Kecheng Chen; Yazhou Ren 001; Jiayu Sun; Yanmei Wang; Tao Tao; Xiaorong Pu (Comput. Biol. Medicine, 2023)

Boosting adversarial robustness via self-paced adversarial training. - Lirong He; Qingzhong Ai; Xincheng Yang; Yazhou Ren 001; Qifan Wang 001; Zenglin Xu (Neural Networks, 2023)

UNTIE: Clustering analysis with disentanglement in multi-view information fusion. - Jie Xu 044; Yazhou Ren 001; Xiaoshuang Shi; Heng Tao Shen; Xiaofeng Zhu 001 (Inf. Fusion, 2023)

Sparse Bayesian Deep Learning for Cross Domain Medical Image Reconstruction. - Jiaxin Huang 006; Qi Wu; Yazhou Ren 001; Fan Yang; Aodi Yang; Qianqian Yang; Xiaorong Pu (AAAI, 2024)

Adaptive Feature Imputation with Latent Graph for Deep Incomplete Multi-View Clustering. - Jingyu Pu; Chenhang Cui; Xinyue Chen; Yazhou Ren 001; Xiaorong Pu; Zhifeng Hao; Philip S. Yu; Lifang He 001 (AAAI, 2024)

Homophily-Related: Adaptive Hybrid Graph Filter for Multi-View Graph Clustering. - Zichen Wen; Yawen Ling; Yazhou Ren 001; Tianyi Wu; Jianpeng Chen; Xiaorong Pu; Zhifeng Hao; Lifang He 001 (AAAI, 2024)

S2MVTC: A Simple Yet Efficient Scalable Multi-View Tensor Clustering. - Zhen Long; Qiyuan Wang; Yazhou Ren 001; Yipeng Liu 001; Ce Zhu (CVPR, 2024)

Investigating and Mitigating the Side Effects of Noisy Views for Self-Supervised Clustering Algorithms in Practical Multi-View Scenarios. - Jie Xu 044; Yazhou Ren 001; Xiaolong Wang; Lei Feng 006; Zheng Zhang 006; Gang Niu 001; Xiaofeng Zhu 001 (CVPR, 2024)

Frequency-Constraint VQ-VAE for Adaptive MRI Segmentation. - Qi Wu; Minghao Zhang; Ju Liu; Fan Yang; Kecheng Chen; Yazhou Ren 001; Xiaorong Pu (ICONIP (9), 2024)

Dynamic Weighted Graph Fusion for Deep Multi-View Clustering. - Yazhou Ren 001; Jingyu Pu; Chenhang Cui; Yan Zheng; Xinyue Chen; Xiaorong Pu; Lifang He 001 (IJCAI, 2024)

Integrating Vision-Language Semantic Graphs in Multi-View Clustering. - JunLong Ke; Zichen Wen; Yechenhao Yang; Chenhang Cui; Yazhou Ren 001; Xiaorong Pu; Lifang He 001 (IJCAI, 2024)

Simple Contrastive Multi-View Clustering with Data-Level Fusion. - Caixuan Luo; Jie Xu 044; Yazhou Ren 001; Junbo Ma; Xiaofeng Zhu 001 (IJCAI, 2024)

Cross-View Contrastive Fusion for Enhanced Molecular Property Prediction. - Yan Zheng; Song Wu; Junyu Lin; Yazhou Ren 001; Jing He 004; Xiaorong Pu; Lifang He 001 (IJCAI, 2024)

Cross-view Contrastive Unification Guides Generative Pretraining for Molecular Property Prediction. - Junyu Lin; Yan Zheng; Xinyue Chen; Yazhou Ren 001; Xiaorong Pu; Jing He 004 (ACM Multimedia, 2024)

Dual-Optimized Adaptive Graph Reconstruction for Multi-View Graph Clustering. - Zichen Wen; Tianyi Wu; Yazhou Ren 001; Yawen Ling; Chenhang Cui; Xiaorong Pu; Lifang He 001 (ACM Multimedia, 2024)

Cross-View Mutual Learning for Semi-Supervised Medical Image Segmentation. - Song Wu; Xiaoyu Wei; Xinyue Chen; Yazhou Ren 001; Jing He 004; Xiaorong Pu (ACM Multimedia, 2024)

Bridging Gaps: Federated Multi-View Clustering in Heterogeneous Hybrid Views. - Xinyue Chen; Yazhou Ren 001; Jie Xu 044; Fangfei Lin; Xiaorong Pu; Yang Yang 002 (NeurIPS, 2024)

S^2MVTC: a Simple yet Efficient Scalable Multi-View Tensor Clustering. - Zhen Long; Qiyuan Wang; Yazhou Ren 001; Yipeng Liu 001; Ce Zhu (CoRR, 2024)

SiMilarity-Enhanced Homophily for Multi-View Heterophilous Graph Clustering. - Jianpeng Chen; Yawen Ling; Yazhou Ren 001; Zichen Wen; Tianyi Wu; Shufei Zhang; Lifang He 001 (CoRR, 2024)

A novel federated multi-view clustering method for unaligned and incomplete data fusion. - Yazhou Ren 001; Xinyue Chen; Jie Xu 044; Jingyu Pu; Yonghao Huang; Xiaorong Pu; Ce Zhu; Xiaofeng Zhu 001; Zhifeng Hao; Lifang He 001 (Inf. Fusion, 2024)

Customizing graph neural networks using path reweighting. - Jianpeng Chen; Yujing Wang; Ming Zeng 009; Zongyi Xiang; Bitan Hou; Tong Yu 001; Ole J. Mengshoel; Yazhou Ren 001 (Inf. Sci., 2024)

Cross-Domain Low-Dose CT Image Denoising With Semantic Preservation and Noise Alignment. - Jiaxin Huang 006; Kecheng Chen; Yazhou Ren 001; Jiayu Sun; Xiaorong Pu; Ce Zhu (IEEE Trans. Multim., 2024)

Multi-View MERA Subspace Clustering. - Zhen Long; Ce Zhu; Jie Chen; Zihan Li; Yazhou Ren 001; Yipeng Liu 001 (IEEE Trans. Multim., 2024)

Self-Weighted Contrastive Fusion for Deep Multi-View Clustering. - Song Wu; Yan Zheng; Yazhou Ren 001; Jing He 004; Xiaorong Pu; Shudong Huang; Zhifeng Hao; Lifang He 001 (IEEE Trans. Multim., 2024)

Feature Space Recovery for Efficient Incomplete Multi-View Clustering. - Zhen Long; Ce Zhu; Pierre Comon; Yazhou Ren 001; Yipeng Liu 001 (IEEE Trans. Knowl. Data Eng., 2024)

SLR-MVTC: Smooth Low-Rank Multi-View Tensor Clustering. - Zhen Long; Yipeng Liu 001; Yazhou Ren 001; Ce Zhu (AAAI, 2025)

VSNet: Focusing on the Linguistic Characteristics of Sign Language. - Yuhao Li; Xinyue Chen; Hongkai Li; Xiaorong Pu; Peng Jin; Yazhou Ren 001 (CVPR, 2025)

Multi-modal isolated sign language recognition based on self-paced learning. - Yazhou Ren 001; Hongkai Li; Yuhao Li; Jingyu Pu; Xiaorong Pu; Siyuan Jing; Peng Jin; Lifang He 001 (Expert Syst. Appl., 2025)

Efficient Medical Image Restoration via Reliability Guided Learning in Frequency Domain. - Pengcheng Zheng; Kecheng Chen; Jiaxin Huang 006; Bohao Chen; Ju Liu; Yazhou Ren 001; Xiaorong Pu (CoRR, 2025)

Deep Clustering: A Comprehensive Survey. - Yazhou Ren 001; Jingyu Pu; Zhimeng Yang; Jie Xu 044; Guofeng Li; Xiaorong Pu; Philip S. Yu; Lifang He 001 (IEEE Trans. Neural Networks Learn. Syst., 2025)

Variational Graph Generator for Multiview Graph Clustering. - Jianpeng Chen; Yawen Ling; Jie Xu 044; Yazhou Ren 001; Shudong Huang; Xiaorong Pu; Zhifeng Hao; Philip S. Yu; Lifang He 001 (IEEE Trans. Neural Networks Learn. Syst., 2025)

ChronoSelect: Robust Learning with Noisy Labels via Dynamics Temporal Memory. - Jianchao Wang; Qingfeng Li; Pengcheng Zheng; Xiaorong Pu; Yazhou Ren 001 (CoRR, 2025)

TLRLF4MVC: Tensor Low-Rank and Low-Frequency for Scalable Multi-View Clustering. - Zhen Long; Qiyuan Wang; Yazhou Ren 001; Yipeng Liu 001; Ce Zhu (IEEE Trans. Pattern Anal. Mach. Intell., 2025)