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ORCIDYazhou Ren 0001
Ya-Zhou Ren 0001
2020 – today
- 2024
[j37]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)- [j36]Jianpeng Chen, Yujing Wang, Ming Zeng, Zongyi Xiang, Bitan Hou, Tong Yu, Ole J. Mengshoel, Yazhou Ren:
Customizing graph neural networks using path reweighting. Inf. Sci. 674: 120681 (2024) - [j35]Zhen Long, Ce Zhu, Pierre Comon, Yazhou Ren, Yipeng Liu:
Feature Space Recovery for Efficient Incomplete Multi-View Clustering. IEEE Trans. Knowl. Data Eng. 36(9): 4664-4677 (2024) - [j34]Zhen Long, Ce Zhu, Jie Chen, Zihan Li, Yazhou Ren, Yipeng Liu:
Multi-View MERA Subspace Clustering. IEEE Trans. Multim. 26: 3102-3112 (2024) - [j33]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) - [j32]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) - [c54]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 - [c53]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 - [c52]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 - [c51]Jie Xu, Yazhou Ren, Xiaolong Wang, Lei Feng, Zheng Zhang, Gang Niu, Xiaofeng Zhu:
Investigating and Mitigating the Side Effects of Noisy Views for Self-Supervised Clustering Algorithms in Practical Multi-View Scenarios. CVPR 2024: 22957-22966 - [c50]Zhen Long, Qiyuan Wang, Yazhou Ren, Yipeng Liu, Ce Zhu:
S2MVTC: A Simple Yet Efficient Scalable Multi-View Tensor Clustering. CVPR 2024: 24088-24097 - [c49]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 - [c48]Caixuan Luo, Jie Xu, Yazhou Ren, Junbo Ma, Xiaofeng Zhu:
Simple Contrastive Multi-View Clustering with Data-Level Fusion. IJCAI 2024: 4697-4705 - [c47]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 - [c46]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 - [c45]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 - [c44]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 - [c43]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 - [c42]Xinyue Chen, Yazhou Ren, Jie Xu, Fangfei Lin, Xiaorong Pu, Yang Yang:
Bridging Gaps: Federated Multi-View Clustering in Heterogeneous Hybrid Views. NeurIPS 2024 - [i32]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) - [i31]Zhen Long, Qiyuan Wang, Yazhou Ren, Yipeng Liu, Ce Zhu:
S^2MVTC: a Simple yet Efficient Scalable Multi-View Tensor Clustering. CoRR abs/2403.09107 (2024) - [i30]Jianpeng Chen, Yawen Ling, Yazhou Ren, Zichen Wen, Tianyi Wu, Shufei Zhang, Lifang He:
SiMilarity-Enhanced Homophily for Multi-View Heterophilous Graph Clustering. CoRR abs/2410.03596 (2024) - [i29]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) - [i28]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
- [j31]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) - [j30]Lirong He, Qingzhong Ai, Yuqing Lei, Lili Pan, Yazhou Ren, Zenglin Xu:
Edge enhancement improves adversarial robustness in image classification. Neurocomputing 518: 122-132 (2023) - [j29]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) - [j28]Jie Xu, Yazhou Ren, Xiaoshuang Shi, Heng Tao Shen, Xiaofeng Zhu:
UNTIE: Clustering analysis with disentanglement in multi-view information fusion. Inf. Fusion 100: 101937 (2023) - [j27]Lirong He, Qingzhong Ai, Xincheng Yang, Yazhou Ren, Qifan Wang, Zenglin Xu:
Boosting adversarial robustness via self-paced adversarial training. Neural Networks 167: 706-714 (2023) - [j26]Jie Xu, Chao Li, Liang Peng, Yazhou Ren, Xiaoshuang Shi, Heng Tao Shen, Xiaofeng Zhu:
Adaptive Feature Projection With Distribution Alignment for Deep Incomplete Multi-View Clustering. IEEE Trans. Image Process. 32: 1354-1366 (2023) - [j25]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) - [c41]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 - [c40]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 - [c39]Terry Yue Zhuo, Yaqing Liao, Yuecheng Lei, Lizhen Qu, Gerard de Melo, Xiaojun Chang, Yazhou Ren, Zenglin Xu:
ViLPAct: A Benchmark for Compositional Generalization on Multimodal Human Activities. EACL (Findings) 2023: 2147-2162 - [c38]Fangfei Lin, Bing Bai, Yiwen Guo, Hao Chen, Yazhou Ren, Zenglin Xu:
MHCN: A Hyperbolic Neural Network Model for Multi-view Hierarchical Clustering. ICCV 2023: 16479-16489 - [c37]Chenhang Cui, Yazhou Ren, Jingyu Pu, Xiaorong Pu, Lifang He:
Deep Multi-view Subspace Clustering with Anchor Graph. IJCAI 2023: 3577-3585 - [c36]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 - [c35]Yixi Liu, Yuze Tan, Hongjie Wu, Shudong Huang, Yazhou Ren, Jiancheng Lv:
Preserving Local and Global Information: An Effective Metric-based Subspace Clustering. ACM Multimedia 2023: 3619-3627 - [c34]Zhenqian Wu, Yazhou Ren, Xiaorong Pu, Zhifeng Hao, Lifang He:
Generative Neutral Features-Disentangled Learning for Facial Expression Recognition. ACM Multimedia 2023: 4300-4308 - [c33]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 - [c32]Jie Xu, Shuo Chen, Yazhou Ren, Xiaoshuang Shi, Hengtao Shen, Gang Niu, Xiaofeng Zhu:
Self-Weighted Contrastive Learning among Multiple Views for Mitigating Representation Degeneration. NeurIPS 2023 - [i27]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) - [i26]Jie Xu, Gang Niu, Xiaolong Wang, Yazhou Ren, Lei Feng, Xiaoshuang Shi, Heng Tao Shen, Xiaofeng Zhu:
Investigating and Mitigating the Side Effects of Noisy Views in Multi-view Clustering in Practical Scenarios. CoRR abs/2303.17245 (2023) - [i25]Chenhang Cui, Yazhou Ren, Jingyu Pu, Xiaorong Pu, Lifang He:
Deep Multi-View Subspace Clustering with Anchor Graph. CoRR abs/2305.06939 (2023) - [i24]Zhen Long, Ce Zhu, Jie Chen, Zihan Li, Yazhou Ren, Yipeng Liu:
Multi-view MERA Subspace Clustering. CoRR abs/2305.09095 (2023) - [i23]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) - [i22]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
- [j24]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) - [j23]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) - [j22]Xiangping Kang, Guoxian Yu, Carlotta Domeniconi, Jun Wang, Wei Guo, Yazhou Ren, Xiayan Zhang, Lizhen Cui:
Self-paced annotations of crowd workers. Knowl. Inf. Syst. 64(12): 3235-3263 (2022) - [j21]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) - [c31]Jie Xu, Chao Li, Yazhou Ren, Liang Peng, Yujie Mo, Xiaoshuang Shi, Xiaofeng Zhu:
Deep Incomplete Multi-View Clustering via Mining Cluster Complementarity. AAAI 2022: 8761-8769 - [c30]Jie Xu, Huayi Tang, Yazhou Ren, Liang Peng, Xiaofeng Zhu, Lifang He:
Multi-level Feature Learning for Contrastive Multi-view Clustering. CVPR 2022: 16030-16039 - [c29]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 - [c28]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 - [c27]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 - [c26]Fangfei Lin, Bing Bai, Kun Bai, Yazhou Ren, Peng Zhao, Zenglin Xu:
Contrastive Multi-view Hyperbolic Hierarchical Clustering. IJCAI 2022: 3250-3256 - [c25]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 - [c24]Shudong Huang, Yixi Liu, Yazhou Ren, Ivor W. Tsang, Zenglin Xu, Jiancheng Lv:
Learning Smooth Representation for Multi-view Subspace Clustering. ACM Multimedia 2022: 3421-3429 - [c23]Shudong Huang, Hongjie Wu, Yazhou Ren, Ivor W. Tsang, Zenglin Xu, Wentao Feng, Jiancheng Lv:
Multi-view Subspace Clustering on Topological Manifold. NeurIPS 2022 - [i21]Fangfei Lin, Bing Bai, Kun Bai, Yazhou Ren, Peng Zhao, Zenglin Xu:
Contrastive Multi-view Hyperbolic Hierarchical Clustering. CoRR abs/2205.02618 (2022) - [i20]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) - [i19]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) - [i18]Terry Yue Zhuo, Yaqing Liao, Yuecheng Lei, Lizhen Qu, Gerard de Melo, Xiaojun Chang, Yazhou Ren, Zenglin Xu:
ViLPAct: A Benchmark for Compositional Generalization on Multimodal Human Activities. CoRR abs/2210.05556 (2022) - [i17]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
- [j20]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) - [j19]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) - [j18]Jie Xu, Yazhou Ren, Guofeng Li, Lili Pan, Ce Zhu, Zenglin Xu:
Deep embedded multi-view clustering with collaborative training. Inf. Sci. 573: 279-290 (2021) - [j17]Zongmo Huang, Yazhou Ren, Xiaorong Pu, Lili Pan, Dezhong Yao, Guoxian Yu:
Dual self-paced multi-view clustering. Neural Networks 140: 184-192 (2021) - [c22]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 - [c21]Xiangping Kang, Guoxian Yu, Carlotta Domeniconi, Jun Wang, Wei Guo, Yazhou Ren, Lizhen Cui:
Crowdsourcing with Self-paced Workers. ICDM 2021: 280-289 - [c20]Zongmo Huang, Yazhou Ren, Xiaorong Pu, Lifang He:
Non-Linear Fusion for Self-Paced Multi-View Clustering. ACM Multimedia 2021: 3211-3219 - [c19]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 - [i16]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) - [i15]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) - [i14]Zongmo Huang, Yazhou Ren, Xiaorong Pu, Lifang He:
Non-Linear Fusion for Self-Paced Multi-View Clustering. CoRR abs/2104.09255 (2021) - [i13]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) - [i12]Jianpeng Chen, Yujing Wang, Ming Zeng, Zongyi Xiang, Yazhou Ren:
Graph Attention Networks with LSTM-based Path Reweighting. CoRR abs/2106.10866 (2021) - [i11]Jie Xu, Huayi Tang, Yazhou Ren, Xiaofeng Zhu, Lifang He:
Contrastive Multi-Modal Clustering. CoRR abs/2106.11193 (2021) - [i10]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) - [i9]Lili Pan, Mingming Meng, Yazhou Ren, Yali Zheng, Zenglin Xu:
Self-Paced Deep Regression Forests with Consideration on Ranking Fairness. CoRR abs/2112.06455 (2021) - 2020
- [j16]Shudong Huang, Zenglin Xu, Zhao Kang, Yazhou Ren:
Regularized nonnegative matrix factorization with adaptive local structure learning. Neurocomputing 382: 196-209 (2020) - [j15]Yazhou Ren, Shudong Huang, Peng Zhao, Minghao Han, Zenglin Xu:
Self-paced and auto-weighted multi-view clustering. Neurocomputing 383: 248-256 (2020) - [j14]Yazhou Ren, Ni Wang, Mingxia Li, Zenglin Xu:
Deep density-based image clustering. Knowl. Based Syst. 197: 105841 (2020) - [j13]Lili Pan, Shen Cheng, Jian Liu, Peijun Tang, Bowen Wang, Yazhou Ren, Zenglin Xu:
Latent Dirichlet allocation based generative adversarial networks. Neural Networks 132: 461-476 (2020) - [c18]Lili Pan, Shijie Ai, Yazhou Ren, Zenglin Xu:
Self-Paced Deep Regression Forests with Consideration on Underrepresented Examples. ECCV (30) 2020: 271-287 - [c17]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 - [c16]Kecheng Chen, Jiaxin Huang, Jiayu Sun, Yazhou Ren, Xiaorong Pu:
Task-Driven Deep Learning for LDCT Image Denoising. ISICDM 2020: 35-39 - [c15]Junyu Lu, Xiancong Ren, Yazhou Ren, Ao Liu, Zenglin Xu:
Improving Contextual Language Models for Response Retrieval in Multi-Turn Conversation. SIGIR 2020: 1805-1808 - [i8]Lili Pan, Shijie Ai, Yazhou Ren, Zenglin Xu:
Self-Paced Deep Regression Forests with Consideration on Underrepresented Samples. CoRR abs/2004.01459 (2020) - [i7]Jie Xu, Yazhou Ren, Guofeng Li, Lili Pan, Ce Zhu, Zenglin Xu:
Deep Embedded Multi-view Clustering with Collaborative Training. CoRR abs/2007.13067 (2020) - [i6]Wazir Ali, Jay Kumar, Zenglin Xu, Congjian Luo, Junyu Lu, Junming Shao, Rajesh Kumar, Yazhou Ren:
A Subword Guided Neural Word Segmentation Model for Sindhi. CoRR abs/2012.15079 (2020)
2010 – 2019
- 2019
- [j12]Jialin Tian, Yazhou Ren, Xiang Cheng:
Stratified Feature Sampling for Semi-Supervised Ensemble Clustering. IEEE Access 7: 128669-128675 (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) - [j10]Yuehui Wang, Maozu Guo, Yazhou Ren, Lianyin Jia, Guoxian Yu:
Drug repositioning based on individual bi-random walks on a heterogeneous network. BMC Bioinform. 20-S(15): 547 (2019) - [j9]Yazhou Ren, Kangrong Hu, Xinyi Dai, Lili Pan, Steven C. H. Hoi, Zenglin Xu:
Semi-supervised deep embedded clustering. Neurocomputing 325: 121-130 (2019) - [j8]Yazhou Ren, Xiaofan Que, Dezhong Yao, Zenglin Xu:
Self-paced multi-task clustering. Neurocomputing 350: 212-220 (2019) - [j7]Yazhou Ren, Uday Kamath, Carlotta Domeniconi, Zenglin Xu:
Parallel boosted clustering. Neurocomputing 351: 87-100 (2019) - [j6]Shudong Huang, Peng Zhao, Yazhou Ren, Tianrui Li, Zenglin Xu:
Self-paced and soft-weighted nonnegative matrix factorization for data representation. Knowl. Based Syst. 164: 29-37 (2019) - [c14]Xuanwu Liu, Guoxian Yu, Carlotta Domeniconi, Jun Wang, Yazhou Ren, Maozu Guo:
Ranking-Based Deep Cross-Modal Hashing. AAAI 2019: 4400-4407 - [i5]Xuanwu Liu, Guoxian Yu, Carlotta Domeniconi, Jun Wang, Yazhou Ren, Maozu Guo:
Ranking-based Deep Cross-modal Hashing. CoRR abs/1905.04450 (2019) - [i4]Shijie Ai, Yazhou Ren, Lili Pan:
Self-Paced Deep Regression Forests for Facial Age Estimation. CoRR abs/1910.03244 (2019) - 2018
- [j5]Shudong Huang, Yazhou Ren, Zenglin Xu:
Robust multi-view data clustering with multi-view capped-norm K-means. Neurocomputing 311: 197-208 (2018) - [c13]Yazhou Ren, Xin Yan, Zechuan Hu, Zenglin Xu:
Self-Paced Multi-Task Multi-View Capped-norm Clustering. ICONIP (4) 2018: 205-217 - [c12]Yazhou Ren, Xiaohui Hu, Ke Shi, Guoxian Yu, Dezhong Yao, Zenglin Xu:
Semi-supervised DenPeak Clustering with Pairwise Constraints. PRICAI (1) 2018: 837-850 - [i3]Yazhou Ren, Xiaofan Que, Dezhong Yao, Zenglin Xu:
Self-Paced Multi-Task Clustering. CoRR abs/1808.08068 (2018) - [i2]Yazhou Ren, Ni Wang, Mingxia Li, Zenglin Xu:
Deep Density-based Image Clustering. CoRR abs/1812.04287 (2018) - [i1]Lili Pan, Shen Cheng, Jian Liu, Yazhou Ren, Zenglin Xu:
Latent Dirichlet Allocation in Generative Adversarial Networks. CoRR abs/1812.06571 (2018) - 2017
- [j4]Jiehua Wu, Guoji Zhang, Ya-Zhou Ren:
A balanced modularity maximization link prediction model in social networks. Inf. Process. Manag. 53(1): 295-307 (2017) - [j3]Jiehua Wu, Guoji Zhang, Ya-Zhou Ren, Xia-Yan Zhang, Qiao Yang:
Weighted Local Naive Bayes Link Prediction. J. Inf. Process. Syst. 13(4): 914-927 (2017) - [j2]Ya-Zhou Ren, Carlotta Domeniconi, Guoji Zhang, Guo-Xian Yu:
Weighted-object ensemble clustering: methods and analysis. Knowl. Inf. Syst. 51(2): 661-689 (2017) - [c11]Xiaofan Que, Yazhou Ren, Jiayu Zhou, Zenglin Xu:
Regularized Multi-source Matrix Factorization for Diagnosis of Alzheimer's Disease. ICONIP (1) 2017: 463-473 - [c10]Yanming Yu, Guoxian Yu, Xia Chen, Ya-Zhou Ren:
Semi-supervised Multi-label Linear Discriminant Analysis. ICONIP (1) 2017: 688-698 - [c9]Yazhou Ren, Peng Zhao, Yongpan Sheng, Dezhong Yao, Zenglin Xu:
Robust Softmax Regression for Multi-class Classification with Self-Paced Learning. IJCAI 2017: 2641-2647 - [c8]Yazhou Ren, Peng Zhao, Zenglin Xu, Dezhong Yao:
Balanced self-paced learning with feature corruption. IJCNN 2017: 2064-2071 - [c7]Bin Liu, Zenglin Xu, Bo Dai, Haoli Bai, Xianghong Fang, Yazhou Ren, Shandian Zhe:
Learning from semantically dependent multi-tasks. IJCNN 2017: 3498-3505 - 2014
- [c6]Ya-Zhou Ren, Uday Kamath, Carlotta Domeniconi, Guoji Zhang:
Boosted Mean Shift Clustering. ECML/PKDD (2) 2014: 646-661 - [c5]Ya-Zhou Ren, Carlotta Domeniconi, Guoji Zhang, Guo-Xian Yu:
A Weighted Adaptive Mean Shift Clustering Algorithm. SDM 2014: 794-802 - 2013
- [c4]Ya-Zhou Ren, Carlotta Domeniconi, Guoji Zhang, Guo-Xian Yu:
Weighted-Object Ensemble Clustering. ICDM 2013: 627-636 - [c3]Jiehua Wu, Guoji Zhang, Ya-Zhou Ren, Xia-Yan Zhang, Guo-Xian Yu:
Exploiting neighbors' latent correlation for link prediction in complex network. ICMLC 2013: 1077-1082 - 2012
- [j1]Ya-Zhou Ren, Guoji Zhang, Guo-Xian Yu, Xuan Li:
Local and global structure preserving based feature selection. Neurocomputing 89: 147-157 (2012) - [c2]Hairui Zhou, Jian Li, Yazhou Ren, Lina He, Fei Hu:
Active delay variation control for improving fault tolerance in an avionics network. WFCS 2012: 149-152 - 2011
- [c1]Ya-Zhou Ren, Guoji Zhang, Guo-Xian Yu:
Random subspace based semi-supervised feature selection. ICMLC 2011: 113-118
Coauthor Index
[j37] [j33] [j32] [c54] [c53] [c52] [c49] [c47] [c46] [c45] [c44] [c43] [c42] [i32] [i29] [i28] [j31] [j29] [j25] [c41] [c40] [c37] [c36] [c34] [c33] [i27] [i25] [i23] [i22] [j24] [j23] [j21] [c29] [c28] [c27] [c25] [i20] [i19] [i17] [j20] [j19] [j17] [c22] [c20] [c19] [i16] [i15] [i14] [i13] [i10] [c17] [c16] [j11]
Guoxian Yu
aka: Guo-Xian Yu
aka: Guo-Xian Yu
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[+][–] Unpaywalled article links
Add open access links from 
to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
[+][–] Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2025-03-04 21:19 CET by the dblp team
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