Xiaoqiang Yan   闫小强


 PhD


       
 School of Information Engineering
 Zhengzhou University, Zhengzhou China

 Email_1: iexqyan@zzu.edu.cn
 Email_2: iexqyan@gmail.com
 URL: http://www5.zzu.edu.cn/mlis/xqyan
picture
   

Biography

I am currently a lecturer in the School of Information Engineering at Zhengzhou University. I received the PhD degree supervised by Prof. Yang-Dong Ye from Zhengzhou University in 2018. I worked one year as a visiting scholar at Visual Computing Groups (VCG) in University of Portsmouth, UK.


News

  • 2020.12.02 One paper has been accepted by top conference AAAI Conference on Artificial Intelligence (AAAI)

  • 2019.08.16 Dr. Xiaoqiang Yan has been awarded a grant from NSFC about cross-media alalysis starting from January 2020

  • 2019.08.13 One paper has been accepted by top journal IEEE Transactions on Knowledge and Data Engineering (TKDE)

  • 2019.08.11 One paper has been accepted by top journal IEEE Transactions on Industrial Informatics (TII)

  • 2018.09.14 One paper has been awarded ChinaMM Excellent Paper

  • 2017.07.21 One paper has been accepted by top conference IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

  • 2016.04.30 One paper has been accepted by top conference International Joint Conference on Aritifical Intelligence (IJCAI)



Research Interests

Computer Vision, Pattern Recognition, Machine Learning, Artificial Intelligence.


Fundings

    [国家自然科学青年基金]

    多路聚合的跨媒体模式分析与知识推理研究(61906172),国家自然科学青年基金项目,2020~2022,主持人



Publications

[Journal]

  • Xiaoqiang Yan, Yiqiao Mao, Yangdong Ye and Hui Yu: Cross-modal Clustering with Deep Correlated Information Bottleneck Method. IEEE Transactions on Neural Networks and Learning Systems (TNNLS). Accepted, 2023.

  • Xiaoqiang Yan, Yiqiao Mao, Mingyuan Li, Yangdong Ye and Hui Yu: Multi-task Image Clustering via Deep Information Bottleneck. IEEE Transactions on Cybernetics (TCYB). Accepted, 2023.

  • Xiaoqiang Yan, Xiangyu Yu, Shizhe Hu, and Yangdong Ye: Mutual Boost Network for attributed graph clustering. Expert Systems With Applications. 2023, 229(Part A): 120479. [PDF][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.

  • Xiaoqiang Yan, Yiqiao Mao, Yangdong Ye, Hui Yu, and Fei-Yue Wang: Explanation Guided Cross-modal Social Image Clustering.Information Sciences.(2022) Accepted.[PDF]

  • Xiaoqiang Yan, Kaiyuan Shi, Yangdong Ye, and Hui Yu: Deep Correlation Mining for Multi-task Image Clustering. Expert Systems With Applications. 2021, Accepted.

  • Xiaoqiang Yan, Shizhe Hu, Yiqiao Mao, Yangdong Ye, and Hui Yu: Deep Multi-view Learning Methods: A Review. Neurocomputing. 2021, Accepted. [PDF]

  • Xiaoqiang Yan, Yangdong Ye, Xueying Qiu, Hui Yu: Synergetic information bottleneck for joint multi-view and ensemble clustering. Information Fusion. 2020, 56:15-27. [PDF]

  • Xiaoqiang Yan, Yangdong Ye, Xueying Qiu, Milos Manic, Hui Yu: CMIB:Unsupervised Image Object Categorization in Multiple Visual Contexts. IEEE Transaction on Industrial Informatics (IEEE TII). 2020, 16(6):3974-3986. [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]

  • Mingming Zhang, Xiaoqiang Yan, Shizhe Hu, Yangdong Ye: An Information Maximization Multi-task Clustering Method for Egocentric Temporal Segmentation. Applied Soft Computing. 2020, Accepted. [PDF]

  • Shizhe Hu, Xiaoqiang Yan, Yangdong Ye: Joint Specific and Correlated Information Exploration for Multi-view Action Clustering. Information Sciences. 2020, Accepted. [PDF]

  • Shizhe Hu, Xiaoqiang Yan, Yangdong Ye: Dynamic Auto-weighted Multi-view Co-clustering. Pattern Recognition (PR). 2019, Accepted. [PDF]

  • Shizhe Hu, Xiaoqiang Yan, Yangdong Ye: Multi-task Image Clustering through Correlation Propagation. IEEE Transactions on Knowledge and Data Engineering (IEEE TKDE). 2019, Accepted. [PDF]

  • Xiaoqiang Yan, Yangdong Ye, Yiqiao Mao, Hui Yu: Shared-Private Information Bottleneck Method for Cross-Modal Clustering. IEEE Access. 2019, 7, 36045-36056. [PDF]

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

[Conference]

  • Xiaoqiang Yan, Zhixiang Jin, Fengshou Han, Yangdong Ye: Differentiable Information Bottleneck for Deterministic Multi-view Clustering. IEEE Conference on Computer Vision and Pattern Recognition (IEEE CVPR), 2024, Accept.

  • Xiaoqiang Yan, Yingtao Gan, Yangdong Ye, Hui Yu: Live and Learn: Continual Action Clustering with Incremental Views. In AAAI Conference on Artificial Intelligence (AAAI). 2024, Accept.

  • Yiqiao Mao*, Xiaoqiang Yan*, Qiang Guo, Yangdong Ye: Deep Mutual Information Maximin for Cross-Modal Clustering. AAAI Conference on Artificial Intelligence (AAAI). 2021, Accepted. (* means equal contribution.)

  • Xiaoqiang Yan, Yiqiao Mao, Shizhe Hu, Yangdong Ye: Heterogeneous Dual-Task Clustering with Visual-Textual Information. SIAM International Conference on Data Mining (SDM). 2020, 658-666. [PDF]

  • Xiaoqiang Yan, Shizhe Hu, Yangdong Ye: Multi-task Clustering of Human Actions by Sharing Information. IEEE Conference on Computer Vision and Pattern Recognition (IEEE CVPR). 2017, 6401-6409. [PDF]

  • Xiaoqiang Yan, Yangdong Ye, Xueying Qiu: Unsupervised Human Action Categorization with Consensus Information Bottleneck Method. International Joint Conference on Artificial Intelligence (IJCAI). 2016, 2245-2251. [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]

[Chinese Journal]

  • 闫小强, 叶阳东:共享和私有信息最大化的跨媒体聚类. 计算机研究与发展, 2019,56(7)1370-1382.

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

  • 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.