IECE - Institute of Emerging and Computer Engineers

  • Sign Up Log in
    Log in
    • [email protected]
    Academic Editor
    Author
    Contributions by role
    Author 1
    Editor 1
    ORCID
    0000-0002-6184-4771
    Xiaochun Yang
    School of Computer Science and Engineering, Northeastern University, Shenyang 110169, China
    Summary
    Xiaochun Yang (Member, IECE) received the Ph.D. degree in Computer Software and Theory from Northeastern University, 110004, China, in 2001. She is currently the dean of Software College and a professor in the School of Computer Science and Engineering with Northeastern University, China. Her research interests include Big Data management and knowledge engineering, data quality management, data privacy preserving, and recommender systems. More details about her research can be found at http://faculty.neu.edu.cn/yangxiaochun.
    Edited Journals
    Chinese Journal of Information Fusion
    IECE Contributions
    Articles
    1
    Edited
    1
    Free Access | Research Article | 23 January 2025
    Intelligent System Architecture Based on System Theory
    by
    Fuhu Chen
    ,
    Zhe Wang
    Chinese Journal of Information Fusion | Volume 2, Issue 1: 1-13, 2025 | DOI:10.62762/CJIF.2024.872211
    Abstract
    Intelligent system is a research field that attracts much attention at present. Most of the researches on intelligent system focus on intelligent technology and its application. However, an intelligent system is first of all a system, which means it should have the characteristics of a system. Design of conventional system is mainly function- or task-oriented, and adaptation to environment is passive, static and regular. However, intelligent system is faced with a complex, random and dynamic environment, and has dynamic interaction with the environment. Behind this interaction behavior is thinking and learning, and behind thinking learning is mission task and value. Therefore, intelligent sy... More >
    Graphical Abstract
    Intelligent System Architecture Based on System Theory
    Free Access | Review Article | 12 June 2024 | Cited: 3
    Bridging Modalities: A Survey of Cross-Modal Image-Text Retrieval
    by
    Tieying Li
    ,
    Lingdu Kong
    ,
    Xiaochun Yang
    ,
    Bin Wang
    ,
    Jiaxing Xu
    Chinese Journal of Information Fusion | Volume 1, Issue 1: 79-92, 2024 | DOI:10.62762/CJIF.2024.361895
    Abstract
    The rapid advancement of Internet technology, driven by social media and e-commerce platforms, has facilitated the generation and sharing of multimodal data, leading to increased interest in efficient cross-modal retrieval systems. Cross-modal image-text retrieval, encompassing tasks such as image query text (IqT) retrieval and text query image (TqI) retrieval, plays a crucial role in semantic searches across modalities. This paper presents a comprehensive survey of cross-modal image-text retrieval, addressing the limitations of previous studies that focused on single perspectives such as subspace learning or deep learning models. We categorize existing models into single-tower, dual-tower,... More >
    Graphical Abstract
    Bridging Modalities: A Survey of Cross-Modal Image-Text Retrieval