1B000

 Zhengzheng Lou   娄铮铮


 PhD


       
 School of Information Engineering
 Zhengzhou University, Zhengzhou China

 Email: iezzlou@zzu.edu.cn
 URL: http://www5.zzu.edu.cn/mlis/louzz 
picture
   

Biography

I received the PhD degree from Zhengzhou University in 2014.I am currently an associate professor in the School of Information Engineering at Zhengzhou University.

Research Interests

Machine Learning, Pattern Recognition, Computer vision, Information Bottleneck Theory.  

Fundings

    [国家自然科学青年基金]

    Radius k-means 算法及其拓展问题的研究（61502434），国家自然科学青年基金项目，2016~2018，主持人

    [国家自然科学基金项目]

    传播IB方法的研究（61772475），国家自然科学基金，2018~2021，参与者

    多变量IB方法及算法的研究（61170223），国家自然科学基金，2012~2015，参与者

    IB算法及其应用的研究（60773048），国家自然科学基金，2008~2010，参与者


Publications

[Journal]

  • Chaoyang Zhang, Zhengzheng Lou, Qinglei Zhou and Shizhe Hu*: Multi-View Clustering via Triplex Information Maximization. IEEE Transactions on Image Processing (TIP). Accepted, 2023. [PDF]

  • Shizhe Hu, Guoliang Zou, Chaoyang Zhang, Zhengzheng Lou, Ruilin Geng and Yangdong Ye*: Joint Contrastive Triple-learning for Deep Multi-view Clustering. Information Processing and Management (IPM). Accepted, 2023.[Code]

  • Shizhe Hu, Zenglin Shi, Xiaoqiang Yan, Zhengzheng Lou, and Yangdong Ye*: Multi-view Clustering with Propagating Information Bottleneck. IEEE Transactions on Neural Networks and Learning Systems (TNNLS). Accepted, 2023.

  • Zhengzheng Lou, Zhaoxu Cheng, Hui Li, Zhixia Teng, Yang Liu, Zhen Tian. Predicting miRNA-disease associations via learning multimodal networks and fusing mixed neighborhood information. Briefings in bioinformatics, 2022.(IF: 13.994)

  • Shizhe Hu, Zhengzheng Lou, and Yangdong Ye*: View-wise VS Cluster-wise Weight: Which Is Better for Multi-view Clustering?. IEEE Transactions on Image Processing (TIP). 31: 58-71, 2022.[PDF]

  • Shizhe Hu, Bo Wang, Zhengzheng Lou, Yangdong Ye*: Multi-view Content-Context Information Bottleneck for Image Clustering. Expert Systems With Applications. 2021, Accepted.[PDF]

  • Xiaoqiang Yan, Zhengzheng Lou, Shizhe Hu, Yangdong Ye: Multi-task information bottleneck co-clustering for unsupervised cross-view human action categorization. ACM Transactions on Knowledge Discovery from Data (ACM TKDD). 2020, 14(2):1-23. [PDF]

  • Caihong Hu, Qiang Wu, Hui Li, Shengqi Jian, Nan Li, Zhengzheng Lou*. Deep Learning with a Long Short-Term Memory Networks Approach for Rainfall-Runoff Simulation. Water, 10(11): 1543, 2018.(Highly cited.)

  • Xiaoqiang Yan,Yangdong Ye, Zhengzheng Lou: Unsupervised video categorization based on multivariate information bottleneck method. Knowledge-Based Systems (KBS). 2015, 84, 34-45. [PDF]

  • Yangdong Ye, Ruina Liu, Zhengzheng Lou: Incorporating side information into multivariate Information Bottleneck for generating alternative clusterings. Pattern Recognition Letters (PRL). 2015, 51, 70-78. [PDF]

[Conference]

  • Shizhe Hu, Ruilin Geng, Zhaoxu Cheng, Chaoyang Zhang, Guoliang Zou, Zhengzheng Lou, Yangdong Ye*: A Parameter-free Multi-view Information Bottleneck Clustering Method by Cross-view Weighting. ACM International Conference on Multimedia (ACM MM), 2022, Accepted.

  • Shizhe Hu, Zhenquan Hou, Zhengzheng Lou, Yangdong Ye: Content VS Context: How about "Walking Hand-In-Hand" for Image Clustering. IEEE International Conference on Acoustics, Speech, and Signal Processing (IEEE ICASSP). 2020, 3707-3711. [PDF]

  • Zhengzheng Lou, Yangdong Ye, Xiaoqiang Yan: The Multi-Feature Information Bottleneck with Application to Unsupervised Image Categorization. International Joint Conference on Artificial Intelligence (IJCAI). 2013,1508-1515. [PDF]

  • Zhengzheng Lou, Yangdong Ye, Zhenfeng Zhu: Information Bottleneck with Local Consistency. Pacific Rim International Conference on Artificial Intelligence (PRICAI). 2012,285-296. [PDF]

  • Zhengzheng Lou, Yangdong Ye, Dong Liu: Unsupervised Object Category Discovery via Information Bottleneck Method. ACM Multimedia (ACM MM). 2010,863-866. [PDF]

[Chinese Journal]

  • 鲁博仁，胡世哲，娄铮铮，叶阳东: 面向铁路文本分类的字符级特征提取方法. 计算机科学，2020，已录用.

  • 胡世哲，娄铮铮，王若彬，闫小强，叶阳东: 一种双重加权的多视角聚类方法. 计算机学报，2020，已录用.

  • 吴宾，娄铮铮，叶阳东: 联合正则化的矩阵分解推荐算法. 软件学报，2018, 29(09):2681-2696.

  • 潘笑颜，娄铮铮，姬波，叶阳东: 多视角生成模型的可解释性聚类. 计算机研究与发展，2017，54（8）：1713-1723.

  • 娄铮铮，叶阳东: 基于最大化交叉互信息的对称IB算法. 计算机学报，2016，39（8）：1515-1527.

  • 时增林，叶阳东，吴云鹏，娄铮铮: 基于序的空间金字塔池化网络的人群计数方法. 自动化学报，2016，42（6）：866-874.

  • 闫小强，卢耀恩，娄铮铮，叶阳东: 基于并行IB的多种语义文本聚类算法. 模式识别与人工智能，2017，30（6）：559-568.

  • 江鹏，叶阳东，娄铮铮: 一种面向非平衡数据的多簇IB算法. 计算机科学，2016，43（7）：245-250.

  • 娄铮铮，杨晨，叶阳东: 基于数据选择模型的IB算法.电子学报，2014，42（9）：1839-1846.

  • 娄铮铮，叶阳东，刘瑞娜: 基于IB方法的无冗余多视角聚类. 计算机研究与发展，2013，50（9）：1865-1875.