Advances in Multimodal Learning and Representation
A special issue of Computers (ISSN 2073-431X). This special issue belongs to the section "AI-Driven Innovations".
Deadline for manuscript submissions: 30 September 2026 | Viewed by 219
Special Issue Editors
Interests: small-shot and zero-shot learning; multi-modal representation learning; biological information computing
Interests: big data; machine learning; security and privacy protection; artificial intelligence security; privacy computing; deep learning
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
We are pleased to invite you to contribute to the Special Issue "Advances in Multimodal Learning and Representation".
As data continues to grow in scale, diversity, and complexity, intelligent systems that can retrieve, interpret, and reason over heterogeneous information have become essential. Modern AI is rapidly moving beyond isolated tasks, such as searching or classification, toward integrated pipelines capable of semantic understanding, high-level inference, and data-driven decision support. Advances in machine learning, multimodal analytics, large language models, and knowledge-enhanced AI are enabling new possibilities for building robust, explainable, and context-aware intelligent systems across domains.
This Special Issue aims to bring together cutting-edge research that spans the full spectrum of complex data intelligence, from efficient retrieval and representation learning to semantic analysis, reasoning, and decision-making applications. We welcome contributions that introduce novel methodologies, theoretical insights, scalable architectures, or impactful real-world systems that demonstrate how intelligent processing can transform decision workflows in areas such as scientific discovery, cybersecurity, healthcare, environmental analytics, and education.
We invite original research articles, comprehensive reviews, and case studies from both academia and industry.
Dr. Bocheng Ren
Dr. Jun Feng
Guest Editors
Manuscript Submission Information
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 250 words) can be sent to the Editorial Office for assessment.
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Computers is an international peer-reviewed open access monthly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1800 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
Keywords
- multimodal learning
- multimodal representation/cross-modal representation
- multimodal fusion/multimodal integration
- multimodal understanding
- multimodal large language models (MLLMs)
- vision-language models
- cross-modal retrieval
- generalization/zero-shot learning/few-shot learning
- multimodal transformer
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