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ORCIDYazhou Ren 0001
Ya-Zhou Ren 0001
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- affiliation: University of Electronic Science and Technology of China, School of Computer Science and Engineering
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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) - [c53]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 - [c52]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 - [c51]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 - [c50]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 - [c49]Zhen Long, Qiyuan Wang, Yazhou Ren, Yipeng Liu, Ce Zhu:
S2MVTC: A Simple Yet Efficient Scalable Multi-View Tensor Clustering. CVPR 2024: 24088-24097 - [c48]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 - [c47]Caixuan Luo, Jie Xu, Yazhou Ren, Junbo Ma, Xiaofeng Zhu:
Simple Contrastive Multi-View Clustering with Data-Level Fusion. IJCAI 2024: 4697-4705 - [c46]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 - [c45]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 - [c44]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 - [c43]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 - [c42]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 - [i29]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) - [i28]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) - 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
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last updated on 2024-11-07 21:32 CET by the dblp team
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