| 2026 | AAAI | Views Attention Fusion of Granular-ball Fuzzy Representations Split for Improved Multi-view Clustering. | Shuaiyu Liu, Song Wu, Jie Xu, Yazhou Ren, Yang Yang, Xiaorong Pu, Guoyin Wang |
| 2026 | AAAI | Topology-Aware Vision Transformers for Enhanced Scene Recognition. | Yunxi Wang, Shuaiyu Liu, Qiling Li, Yazhou Ren, Xiaorong Pu |
| 2025 | AAAI | SLR-MVTC: Smooth Low-Rank Multi-View Tensor Clustering. | Zhen Long, Yipeng Liu, Yazhou Ren, Ce Zhu |
| 2025 | CVPR | VSNet: Focusing on the Linguistic Characteristics of Sign Language. | Yuhao Li, Xinyue Chen, Hongkai Li, Xiaorong Pu, Peng Jin, Yazhou Ren |
| 2025 | ICML | Multi-View Graph Clustering via Node-Guided Contrastive Encoding. | Yazhou Ren, Junlong Ke, Zichen Wen, Tianyi Wu, Yang Yang, Xiaorong Pu, Lifang He |
| 2025 | ICML | An Effective and Secure Federated Multi-View Clustering Method with Information-Theoretic Perspective. | Xinyue Chen, Jinfeng Peng, Yuhao Li, Xiaorong Pu, Yang Yang, Yazhou Ren |
| 2025 | IJCAI | Graph Embedded Contrastive Learning for Multi-View Clustering. | Hongqing He, Jie Xu, Guoqiu Wen, Yazhou Ren, Na Zhao, Xiaofeng Zhu |
| 2025 | IJCAI | Fusion of Granular-Ball Visual Spatial Representations for Enhanced Facial Expression Recognition. | Shuaiyu Liu, Qiyao Shen, Yunxi Wang, Yazhou Ren, Guoyin Wang |
| 2025 | IJCNN | Multi-modal Hierarchical Clustering Network for Cancer Subtype Identification of Multi-omics Data. | Fangfei Lin, Jie Xu, Yazhou Ren, Junjie Chen, Irwin King, Zenglin Xu |
| 2024 | AAAI | Sparse Bayesian Deep Learning for Cross Domain Medical Image Reconstruction. | Jiaxin Huang, Qi Wu, Yazhou Ren, Fan Yang, Aodi Yang, Qianqian Yang, Xiaorong Pu |
| 2024 | AAAI | Adaptive Feature Imputation with Latent Graph for Deep Incomplete Multi-View Clustering. | Jingyu Pu, Chenhang Cui, Xinyue Chen, Yazhou Ren, Xiaorong Pu, Zhifeng Hao, Philip S. Yu, Lifang He |
| 2024 | AAAI | Homophily-Related: Adaptive Hybrid Graph Filter for Multi-View Graph Clustering. | Zichen Wen, Yawen Ling, Yazhou Ren, Tianyi Wu, Jianpeng Chen, Xiaorong Pu, Zhifeng Hao, Lifang He |
| 2024 | CVPR | S | Zhen Long, Qiyuan Wang, Yazhou Ren, Yipeng Liu, Ce Zhu |
| 2024 | CVPR | Investigating and Mitigating the Side Effects of Noisy Views for Self-Supervised Clustering Algorithms in Practical Multi-View Scenarios. | Jie Xu, Yazhou Ren, Xiaolong Wang, Lei Feng, Zheng Zhang, Gang Niu, Xiaofeng Zhu |
| 2024 | ICONIP | Frequency-Constraint VQ-VAE for Adaptive MRI Segmentation. | Qi Wu, Minghao Zhang, Ju Liu, Fan Yang, Kecheng Chen, Yazhou Ren, Xiaorong Pu |
| 2024 | IJCAI | Dynamic Weighted Graph Fusion for Deep Multi-View Clustering. | Yazhou Ren, Jingyu Pu, Chenhang Cui, Yan Zheng, Xinyue Chen, Xiaorong Pu, Lifang He |
| 2024 | IJCAI | Integrating Vision-Language Semantic Graphs in Multi-View Clustering. | Junlong Ke, Zichen Wen, Yechenhao Yang, Chenhang Cui, Yazhou Ren, Xiaorong Pu, Lifang He |
| 2024 | IJCAI | Simple Contrastive Multi-View Clustering with Data-Level Fusion. | Caixuan Luo, Jie Xu, Yazhou Ren, Junbo Ma, Xiaofeng Zhu |
| 2024 | IJCAI | Cross-View Contrastive Fusion for Enhanced Molecular Property Prediction. | Yan Zheng, Song Wu, Junyu Lin, Yazhou Ren, Jing He, Xiaorong Pu, Lifang He |
| 2023 | AAAI | Self-Supervised Graph Attention Networks for Deep Weighted Multi-View Clustering. | Zongmo Huang, Yazhou Ren, Xiaorong Pu, Shudong Huang, Zenglin Xu, Lifang He |
| 2023 | AAAI | Dual Label-Guided Graph Refinement for Multi-View Graph Clustering. | Yawen Ling, Jianpeng Chen, Yazhou Ren, Xiaorong Pu, Jie Xu, Xiaofeng Zhu, Lifang He |
| 2023 | EACL | 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, Zenglin Xu |
| 2023 | ICCV | MHCN: A Hyperbolic Neural Network Model for Multi-view Hierarchical Clustering. | Fangfei Lin, Bing Bai, Yiwen Guo, Hao Chen, Yazhou Ren, Zenglin Xu |
| 2023 | IJCAI | Deep Multi-view Subspace Clustering with Anchor Graph. | Chenhang Cui, Yazhou Ren, Jingyu Pu, Xiaorong Pu, Lifang He |
| 2022 | AAAI | Deep Incomplete Multi-View Clustering via Mining Cluster Complementarity. | Jie Xu, Chao Li, Yazhou Ren, Liang Peng, Yujie Mo, Xiaoshuang Shi, Xiaofeng Zhu |
| 2022 | CVPR | Multi-level Feature Learning for Contrastive Multi-view Clustering. | Jie Xu, Huayi Tang, Yazhou Ren, Liang Peng, Xiaofeng Zhu, Lifang He |
| 2022 | ICIP | Cross Domain Low-Dose CT Image Denoising With Semantic Information Alignment. | Jiaxin Huang, Kecheng Chen, Jiayu Sun, Xiaorong Pu, Yazhou Ren |
| 2022 | ICONIP | Shared-Attribute Multi-Graph Clustering with Global Self-Attention. | Jianpeng Chen, Zhimeng Yang, Jingyu Pu, Yazhou Ren, Xiaorong Pu, Li Gao, Lifang He |
| 2022 | ICONIP | ClusterUDA: Latent Space Clustering in Unsupervised Domain Adaption for Pulmonary Nodule Detection. | Mengjie Wang, Yuxin Zhu, Xiaoyu Wei, Kecheng Chen, Xiaorong Pu, Chao Li, Yazhou Ren |
| 2022 | IJCAI | Contrastive Multi-view Hyperbolic Hierarchical Clustering. | Fangfei Lin, Bing Bai, Kun Bai, Yazhou Ren, Peng Zhao, Zenglin Xu |
| 2021 | ICCV | Multi-VAE: Learning Disentangled View-common and View-peculiar Visual Representations for Multi-view Clustering. | Jie Xu, Yazhou Ren, Huayi Tang, Xiaorong Pu, Xiaofeng Zhu, Ming Zeng, Lifang He |
| 2021 | ICDM | Crowdsourcing with Self-paced Workers. | Xiangping Kang, Guoxian Yu, Carlotta Domeniconi, Jun Wang, Wei Guo, Yazhou Ren, Lizhen Cui |
| 2020 | ECCV | Self-Paced Deep Regression Forests with Consideration on Underrepresented Examples. | Lili Pan, Shijie Ai, Yazhou Ren, Zenglin Xu |
| 2020 | ICONIP | Low-Dose CT Image Blind Denoising with Graph Convolutional Networks. | Kecheng Chen, Xiaorong Pu, Yazhou Ren, Hang Qiu, Haoliang Li, Jiayu Sun |
| 2020 | SIGIR | Improving Contextual Language Models for Response Retrieval in Multi-Turn Conversation. | Junyu Lu, Xiancong Ren, Yazhou Ren, Ao Liu, Zenglin Xu |
| 2019 | AAAI | Ranking-Based Deep Cross-Modal Hashing. | Xuanwu Liu, Guoxian Yu, Carlotta Domeniconi, Jun Wang, Yazhou Ren, Maozu Guo |
| 2018 | ICONIP | Self-Paced Multi-Task Multi-View Capped-norm Clustering. | Yazhou Ren, Xin Yan, Zechuan Hu, Zenglin Xu |
| 2018 | PRICAI | Semi-supervised DenPeak Clustering with Pairwise Constraints. | Yazhou Ren, Xiaohui Hu, Ke Shi, Guoxian Yu, Dezhong Yao, Zenglin Xu |
| 2017 | ICONIP | Regularized Multi-source Matrix Factorization for Diagnosis of Alzheimer's Disease. | Xiaofan Que, Yazhou Ren, Jiayu Zhou, Zenglin Xu |
| 2017 | IJCAI | Robust Softmax Regression for Multi-class Classification with Self-Paced Learning. | Yazhou Ren, Peng Zhao, Yongpan Sheng, Dezhong Yao, Zenglin Xu |
| 2017 | IJCNN | Learning from semantically dependent multi-tasks. | Bin Liu, Zenglin Xu, Bo Dai, Haoli Bai, Xianghong Fang, Yazhou Ren, Shandian Zhe |
| 2017 | IJCNN | Balanced self-paced learning with feature corruption. | Yazhou Ren, Peng Zhao, Zenglin Xu, Dezhong Yao |
| 2012 | WFCS | Active delay variation control for improving fault tolerance in an avionics network. | Hairui Zhou, Jian Li, Yazhou Ren, Lina He, Fei Hu |