Academic Editor
Author
Contributions by role
Author 1
Editor 2
Xiaoling Wang
East China Normal University, China
Summary
Edited Journals
IECE Contributions

Open Access | Research Article | 27 March 2025
A Few-shot Learning Method Using Relation Graph
Chinese Journal of Information Fusion | Volume 2, Issue 1: 70-78, 2025 | DOI: 10.62762/CJIF.2025.146072
Abstract
Few-shot learning aims to recognize new-class items under the circumstances with a few labeled support samples. However, many methods may suffer from poor guidance of limited new-class samples that are not suitable for being regarded as class centers. Recent works use word embedding to enrich the new-class distribution message but only use simple mapping between visual and semantic features during training. To solve the aforementioned problems, we propose a method that constructs a class relation graph by semantic meaning as guidance for feature extraction and fusion, to help the learning of the second-order relation information, with a light training request. In addition, we introduce two w... More >

Graphical Abstract
A Few-shot Learning Method Using Relation Graph

Open Access | Research Article | 20 March 2025
Integrating Relationship Path and Entity Neighbourhood Information for Knowledge Graph Intelligence of Social Things
Chinese Journal of Information Fusion | Volume 2, Issue 1: 27-37, 2025 | DOI: 10.62762/CJIF.2025.197460
Abstract
In the evolving framework of the Intelligence of Social Things (IoST), which amalgamates social networks and IoT ecosystems, knowledge graphs are essential for facilitating networked systems to efficiently process and leverage intricate relational data. Knowledge graphs offer essential technical assistance for various artificial intelligence applications, such as e-commerce, intelligent navigation, healthcare, and social media. Nonetheless, current knowledge graphs frequently lack completeness, harboring a considerable quantity of implicit knowledge that remains to be revealed. Consequently, tackling the difficulty of finalising knowledge graphs has emerged as a pressing research priority. M... More >

Graphical Abstract
Integrating Relationship Path and Entity Neighbourhood Information for Knowledge Graph Intelligence of Social Things

Code (Data) Available | Free Access | Review Article | 15 December 2024 | Cited: 1
A Comprehensive Survey on Emerging Techniques and Technologies in Spatio-Temporal EEG Data Analysis
Chinese Journal of Information Fusion | Volume 1, Issue 3: 183-211, 2024 | DOI: 10.62762/CJIF.2024.876830
Abstract
In recent years, the field of electroencephalography (EEG) analysis has witnessed remarkable advancements, driven by the integration of machine learning and artificial intelligence. This survey aims to encapsulate the latest developments, focusing on emerging methods and technologies that are poised to transform our comprehension and interpretation of brain activity. The structure of this paper is organized according to the categorization within the machine learning community, with representation learning as the foundational concept that encompasses both discriminative and generative approaches. We delve into self-supervised learning methods that enable the robust representation of brain sig... More >

Graphical Abstract
A Comprehensive Survey on Emerging Techniques and Technologies in Spatio-Temporal EEG Data Analysis