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闫小强

日期:2022-09-23 信息来源: 浏览量:


闫小强,男,1989年生,副教授,硕士生导师。主要研究方向为机器学习、人工智能、计算机视觉、模式识别和数据挖掘。主持国家自然科学基金、中国博士后面上基金、河南省科技攻关等多项国家与省部级科研项目,参与多项国家自然基金和重点研发计划项目。在IEEE CVPR、IJCAI、AAAI、IEEE TNNLS、IEEE TCYB、IEEE TKDE、IEEE TII、Information fusion、ACM TKDD、SIAM SDM、Information Sciences、Expert Systems with Applications、Knowledge-based systems、计算机研究与发展、模式识别与人工智能等在国内外顶级期刊/会议发表多篇学术论文。曾获“ACM中国郑州分会优秀博士论文奖”“中国多媒体大会优秀论文奖”、“河南省自然科学论文一等奖”等。

代表性论文

[1] 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(中科院一区,Top期刊)

[2] 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(中科院一区,Top期刊)

[3] 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(CCF-A类国际会议)

[4] Xiaoqiang Yan, Yangdong Ye, Xueying Qiu, Hui Yu: Synergetic information bottleneck for joint multi-view and ensemble clustering. Information Fusion. 2020, 56:15-27(中科院一区,Top期刊)

[5] 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 (中科院一区,Top期刊)

[6] 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(CCF-A类国际会议)

[7] Yiqiao Mao, Xiaoqiang Yan, Qiang Guo, Yangdong Ye: Deep Mutual Information Maxmin for Cross-modal Clustering. AAAI 2021, 35(10): 8893-8901(CCF-A类国际会议,共同一作)

[8] 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(CCF-B类期刊)

[9] Xiaoqiang Yan, Yiqiao Mao, Yangdong Ye, Hui Yu, and Fei-Yue Wang: Explanation Guided Cross-modal Social Image Clustering. Information Sciences, 2022, 593: 1-16(中科院一区,Top期刊)

[10] Xiaoqiang Yan, Kaiyuan Shi, Yangdong Ye, and Hui Yu: Deep Correlation Mining for Multi-task Image Clustering. Expert Systems With Applications, 2022, 187: 115973(中科院一区,Top期刊)

[11] Xiaoqiang Yan, Yangdong Ye, Zhengzheng Lou: Unsupervised video categorization based on multivariate information bottleneck method. Knowledge-Based Systems (KBS). 2015, 84, 34-45. (中科院一区,Top期刊)

[12] 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(CCF推荐B类国际会议)

[13] 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(CCF-A中文期刊)

承担/参与课题

[1] 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

[2] 基于深度信息瓶颈方法的跨媒体协同分析研究(2020M682357),中国博士后面上项目,2021-2022,主持

[3] 跨媒体分析中选择性记忆策略的可计算建模及算法性探索,河南省科技攻关项目,2022-2023,主持

[4] 传播IB方法的研究(61772475),国家自然科学基金,2018-2021,参与

[5] 图传播IB方法的模型及传播机制研究(62176239),国家自然科学基金,2022-2025,参与

招生信息

欢迎对机器学习、人工智能、计算机视觉、模式识别、数据挖掘、跨媒体智能、视频图像处理、知识推理等方向感兴趣的同学加入,请有意向同学将个人简历和成绩单发送至iexqyan@zzu.edu.cn

实验室主页:http://www5.zzu.edu.cn/mlis/info/1011/1013.htm





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