About me

任亚洲，电子科技大学副教授，硕士生导师。2014年于华南理工大学取得博士学位。 长期从事人工智能与智慧医疗的研究，在AAAI、IJCAI、CVPR、ICCV、NeurIPS、ACM MM、SIGIR、ICDM、ECCV等国际顶级会议，以及TKDE、TIP、TGRS、NN、KBS、IS等国际知名期刊上发表论文80多篇（其中第一/通讯作者40多篇），完成书籍章节1篇。Google引用1千多次。主持国家自然科学基金（NSFC）青年基金1项、四川省科技计划重点研发项目1项、广东省自然科学基金1项、中国博士后科学基金1项、中央高校基本科研经费3项、校级重点教改项目1项；作为骨干成员参研科技创新2030-“新一代人工智能”重大项目、NSFC重点项目、四川省重大科技项目等多个项目。 现任中国工业和应用数学学会大数据与人工智能专委会委员；中国医药教育协会临床智能分会委员；四川省人工智能学会理事；成都市生物医学工程学会理事。是HCIN期刊编委；TPAMI、TKDE、TNNLS、TIP、TFS、NN、PR等期刊审稿人；AAAI、IJCAI、CVPR、ICCV、ACM MM、ICDM等国际会议的程序委员会成员。

Purity: 四川省, 成都市, 高新区, 西源大道, No.2006

Purity: yazhou.ren@uestc.edu.cn   Purity: Google Scholor; DBLP   Purity: 招生信息

代表性论文(Publications)

  • Chenhang Cui, Yazhou Ren*, Jingyu Pu, Xiaorong Pu, Lifang He. Deep Multi-View Subspace Clustering with Anchor Graph. IJCAI (CCF A 类会议), 2023.
  • Zongmo Huang, Yazhou Ren*, Xiaorong Pu, Shudong Huang, Zenglin Xu, Lifang He. Self-Supervised Graph Attention Networks for Deep Weighted Multi-View Clustering. AAAI (CCF A 类会议), 2023.
  • 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 (CCF A 类会议), 2023.
  • 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, TIP (SCI一区), 2023.
  • 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, CBM (SCI一区), 2022.
  • Zongmo Huang, Xiaorong Pu, Gongshun Tang, Ming Ping, Guo Jiang, Mengjie Wanga, Xiaoyu Wei, Yazhou Ren*. BS-80K: The First Large Open-access Dataset of Bone Scan Images, CBM (SCI一区), 2022.
  • Shudong Huang, Hongjie Wu, Yazhou Ren, Ivor Tsang, Zenglin Xu, Jiancheng Lv, Wentao Feng. Multi-view Subspace Clustering on Topological Manifold, NeurIPS (CCF A 类会议), 2022.
  • Shudong Huang, Yixi Liu, Yazhou Ren*, Ivor W Tsang, Zenglin Xu, Jiancheng Lv*. Learning Smooth Representation for Multi-view Subspace Clustering. ACM MM (CCF A 类会议), 2022
  • 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 MM (CCF A 类会议), 2022
  • Jie Xu, Yazhou Ren*, Huayi Tang, Zhimeng Yang, Lili Pan, Yang Yang, Xiaorong Pu, S Yu Philip, Lifang He. Self-supervised discriminative feature learning for deep multi-view clustering. TKDE (CCF A 类期刊), 2022.
  • Jie Xu, Huayi Tang, Yazhou Ren*, Liang Peng, Xiaofeng Zhu, Lifang He Multi-level Feature Learning for Contrastive Multi-view Clustering, CVPR (CCF A 类会议), 2022, pages 16051-16060.
  • Jie Xu, Chao Li, Yazhou Ren*, Liang Peng, Yujie Mo, Xiaoshuang Shi*, Xiaofeng Zhu. Deep Incomplete Multi-view Clustering via Mining Cluster Complementarity. AAAI (CCF A 类会议), 2022.
  • 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. TGRS (SCI一区), 2022, 60: 5900318.
  • Fangfei Lin, Bing Bai, Kun Bai, Yazhou Ren, Peng Zhao, Zenglin Xu. Contrastive Multi-view Hyperbolic Hierarchical Clustering. IJCAI (CCF A 类会议) , 2022, pages 3250-3256.
  • 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 (CCF A 类会议), 2021, pages 9234-9243.
  • Zongmo Huang, Yazhou Ren*, Xiaorong Pu, Lifang He. Non-Linear Fusion for Self-Paced Multi-View Clustering. ACM MM (CCF A 类会议), 2021, pages 3211-3219.
  • Kecheng Chen, Kun Long, Yazhou Ren*, Jiayu Sun, Xiaorong Pu*. Lesion-Inspired Denoising Network: Connecting Medical Image Denoising and Lesion Detection. ACM MM (CCF A 类会议), 2021, pages 3283–3292.
  • Zongmo Huang, Yazhou Ren*, Xiaorong Pu, Lili Pan, Dezhong Yao, Guoxian Yu. Dual self-paced multi-view clustering. Neural Networks (SCI二区), 2021, 140: 184-192.
  • Jie Xu, Yazhou Ren*, Guofeng Li, Lili Pan, Ce Zhu, Zenglin Xu. Deep Embedded Multi-view Clustering with Collaborative Training. Information Sciences (SCI一区), 2021, 573: 279-290.
  • Kecheng Chen, Jiaxin Huang, Jiayu Sun, Yazhou Ren*, Xiaorong Pu*. Task-Driven Deep Learning for LDCT Image Denoising. ISICDM (EI会议；获LDCT降噪比赛冠军). 2020, pages 35-39
  • Junyu Lu, Xiancong Ren, Yazhou Ren, Ao Liu, Zenglin Xu. Improving contextual language models for response retrieval in multi-turn conversation. SIGIR (CCF A 类会议), 2020, pages 1805-1808.
  • Yazhou Ren*, Ni Wang, Mingxia Li, Zenglin Xu. Deep density-based image clustering, Knowledge-Based Systems (SCI一区), 2020, 197: 105841.
  • Yazhou Ren*, Shudong Huang, Peng Zhao, Zenglin Xu. Self-paced and auto-weighted multi-view clustering, Neurocomputing (SCI 二区), 2020, 383: 248-256.
  • Yazhou Ren*, Uday Kamath, Carlotta Domeniconi, Zenglin Xu. Parallel Boosted Clustering. Neurocomputing (SCI 二区), 2019, 351: 87-100.
  • Xuanwu Liu, Guoxian Yu, Carlotta Domeniconi, Jun Wang, Yazhou Ren, Maozu Guo. Ranking-based Deep Cross-modal Hashing. AAAI (CCF A 类会议), 2022, pages 4400-4407.
  • Shudong Huang, Peng Zhao, Yazhou Ren, Tianrui Li, Zenglin Xu. Self-paced and soft-weighted nonnegative matrix factorization for data representation. Knowledge-Based Systems (SCI一区), 2019, 164: 29-37.
  • Yazhou Ren*, Xiaofan Que, Dezhong Yao, Zenglin Xu. Self-paced multi-task clustering, Neurocomputing (SCI 二区), 2019, 350: 212-220.
  • Yazhou Ren*, Kangrong Hu, Xinyi Dai, Lili Pan, Steven C.H. Hoi, Zenglin Xu. Semi-supervised Deep Embedded Clustering. Neurocomputing (SCI二区), 2019, 325: 121-130.
  • Yazhou Ren*, Xin Yan, Zechuan Hu, and Zenglin Xu. Self-Paced Multi-Task Multi-View Capped-norm Clustering. ICONIP (CCF C类会议), 2018, pages 205-217.
  • Yazhou Ren*, Xiaohui Hu, Ke Shi, Guoxian Yu, Dezhong Yao, and Zenglin Xu. Semi-supervised DenPeak Clustering with Pairwise Constraints. PRICAI (CCF C类会议), 2018, pages 837–850.
  • Yazhou Ren*, Peng Zhao, Zenglin Xu, and Dezhong Yao. Balanced self-paced learning with feature corruption. IJCNN (CCF C类会议), 2017, pages 2064-2071
  • Yazhou Ren*, Carlotta Domeniconi, Guoji Zhang, and Guoxian Yu. Weighted-object ensemble clustering: methods and analysis. KAIS (SCI三区，CCF B类期刊), 2017, 51(2):661-689.
  • Yazhou Ren*, Peng Zhao, Yongpan Sheng, Dezhong Yao, and Zenglin Xu. Robust Softmax Regression for Multi-class Classification with Self-Paced Learning. IJCAI (CCF A类会议), 2017, pages 2641-2647
  • Jiehua Wu, Guoji Zhang, Yazhou Ren. A balanced modularity maximization link prediction model in social networks. IPM (SCI一区), 2017, 53(1): 295–307
  • Yazhou Ren*, Uday Kamath, Carlotta Domeniconi, and Guoji Zhang. Boosted Mean Shift Clustering. ECML/PKDD (CCF B类会议), 2014, pages 646–661.
  • Yazhou Ren*, Carlotta Domeniconi, Guoji Zhang, and Guoxian Yu. A Weighted Adaptive Mean Shift Clustering Algorithm. SDM (CCF B类会议，数据挖掘旗舰会议), 2014, pages 794-802
  • Yazhou Ren*, Carlotta Domeniconi, Guoji Zhang, and Guoxian Yu. Weighted-Object Ensemble Clustering. ICDM (CCF B类会议，数据挖掘旗舰会议), 2013, pages 627-636.
  • Yazhou Ren*, Guoji Zhang, Guoxian Yu, and Xuan Li. Local and Global Structure Preserving based Feature Selection. Neurocomputing (SCI二区), 2012, 89:147-157.

报告(Talks)


[2022.12] DsINS会议特邀报告：《基于自监督学习的深度多视图聚类》


[2022.4] 学术论坛：《聚类：由简入繁》


[2021.12] 医工结合学术沙龙：《人工智能+医疗》


[2021.10] 中国人工智能大会CAAI青年科学家沙龙：《面向临床的医学图像降噪》