GenAI for Information Fusion
Submission DeadLine: 30 June 2025
We invite high-quality submissions that present original research, case studies, and reviews in areas including, but not limited to:
Theoretical Foundations of GenAI for Information Fusion: New algorithms, models, and frameworks that integrate generative models with information fusion techniques.
Neural and Symbolic Fusion by GenAI: Methods and fusion mechanisms for representation and reasoning of neural and symbolic technologies based on GenAI.
Applications of GenAI in Multisource Data Fusion: Case studies and applications in fields such as healthcare, education, cybersecurity, autonomous systems, environmental monitoring, etc.
Multimodal GenAI: Methods for representation of multimodal data, such visual, text, graph, audio, etc.
Synthetic Data Generation and Utilization: Methods for creating and using synthetic data to enhance information fusion processes. Detection of GenAI content is also welcomed.
Performance Evaluation and Benchmarking: Comparative studies on the effectiveness of GenAI in improving the accuracy and efficiency of information fusion.
Scalability and Real-time Fusion: Techniques for applying GenAI in real-time information fusion scenarios and large-scale data environments.
Ethical, Legal, and Social Implications: Examination of the ethical considerations, biases, and regulatory aspects associated with the use of GenAI in information fusion.
Guest editors:
Yifan Zhu, PhD
Beijing University of Posts and Telecommunications, Beijing, China.
Email: yifan_zhu@bupt.edu.cn
Kaize Shi, PhD
University of Technology Sydney, Sydney, Australia.
Email: Kaize.Shi@uts.edu.au
Qika Lin, PhD
National University of Singapore,Singapore, Singapore.
Email: linqika@nus.edu.sg
Jie Ma, PhD
Xi’an Jiaotong University, Xi'an, China.
Email: jiema@xjtu.edu.cn
Manuscript submission information:
The journal's submission platform (https://www.editorialmanager.com/inffus/default2.aspx) will be available for receiving submissions to this Special Issue from November 1st, 2024. Please refer to the Guide for Authors to prepare your manuscript and select the article type of “VSI: GenAI for INFFUS” when submitting your manuscript online. Both the Guide for Authors and the submission portal could be found on the Journal Homepage: https://www.sciencedirect.com/journal/information-fusion.
Final Manuscript Submission Deadline *30/06/2025
Keywords:
(generative artificial intelligence) OR (generative) AND (AI) OR (generative) AND (fusion) OR (AI) AND (fusion)
Information Fusion的CAR指数
2023年3月份科睿唯安官方一次性踢除35本SCI期刊，多数涉及学术诚信问题，让我们意识到学术期刊的“被踢”指数，也很重要。目前，对于期刊的“被踢”指数，这里介绍一下：CAR指数（关于CAR的详细介绍，请关注：www.jcarindex.com），这是一种评价期刊学术诚信风险的指数，指数越高代表可能的风险越大。从数据看，Information Fusion不管是2023年度，还是2024年度实时的CAR指数，都是比较低的。当然，CAR指数仅供参考，期刊风险情况，需以科睿唯安或中科院预警等官方为准！
让推送更美好~
