毛奕桥

About


Here is Yiqiao Mao. I am a Ph.D. candidate majoring in Software Engineering at School of Computer and Artificial Intelligence, Zhengzhou University. My main research area is Multi-modal Learning, Unsupervised Learning and Representation Learning. I have published and co-authored some research papers in several top journals and conferences.

Publications


  • Contrastive Cross-Modal Clustering with Twin Network.
    Yiqiao Mao, Xiaoqiang Yan, Shizhe Hu, and Yangdong Ye.
    Pattern Recognition, 2024. (中科院1区 SCI, IF: 8.4) [pdf] [code]

  • Memory-aware Continual Learning with Multi-modal Social Media Streams for Unsupervised Disaster Classification.
    Yiqiao Mao, Xiaoqiang Yan, Zirui Hu, Xuguang Zhang, Yangdong Ye.
    Advanced Engineering Informatics, 2024. (中科院1区 SCI, IF: 8.8) [pdf] [code]

  • ConGMC: Consistency-Guided Multimodal Clustering via Mutual Information Maximin.
    Yiqiao Mao, Xiaoqiang Yan, Jiaming Liu, and Yangdong Ye.
    IEEE Transactions on Multimedia, 2023. (中科院1区 SCI, IF: 7.3) [pdf]
    [code]

  • Deep Mutual Information Maxmin for Cross-modal Clustering.
    Yiqiao Mao, Xiaoqiang Yan, Qiang Guo, and Yangdong Ye.
    Proceedings of the AAAI Conference on Artificial Intelligence, 2021. (CCF推荐A类会议) [pdf] [code]

  • Multi-task Image Clustering via Deep Information Bottleneck.
    Xiaoqiang Yan, Yiqiao Mao, Mingyuan Li, Yangdong Ye.
    IEEE Transactions on Cybernetics, 2023. (中科院1区 SCI, IF: 11.8) [pdf]

  • Cross-modal Clustering with Deep Correlated Information Bottleneck Method.
    Xiaoqiang Yan, Yiqiao Mao, Yangdong Ye, and Hui Yu.
    IEEE Transactions on Neural Networks and Learning Systems, 2023. (中科院1区 SCI, IF: 10.4) [pdf]

  • Explanation Guided Cross-modal Social Image Clustering.
    Xiaoqiang Yan, Yiqiao Mao, Yangdong Ye, Hui Yu, and Fei-Yue Wang.
    Information Sciences, 2023. (中科院1区 SCI, IF: 8.1) [pdf]

  • A Bottleneck Network with Light Attention for Multimodal Clustering.
    Jiaming Liu, Yiqiao Mao, Zhen Huang, and Yangdong Ye.
    Knowledge-based Systems, 2023. (中科院1区 SCI, IF: 8.1) [pdf]

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

  • Heterogeneous Dual-Task Clustering with Visual-Textual Information.
    Xiaoqiang Yan, Yiqiao Mao, Shizhe Hu, Yangdong Ye.
    Proceedings of the SIAM International Conference on Data Mining, 2020. [pdf]

Fundings

  • 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
  • 传播IB方法的研究 (61772475), 国家自然科学基金,
    2018-2021, 参与
  • 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,
    2020-2022, 参与研究

Honors


  • Outstanding Achievement Award of Zhengzhou University (郑州大学研究生优秀成果奖), 2022.