Special Session 1:
AI-Driven Information Processing: Advances in Image and Textual Analysis
Introduction:
As artificial intelligence continues to advance, its integration into image and textual data processing has emerged as a pivotal frontier in computational intelligence. We are pleased to invite you to the upcoming special session on "AI-Driven Information Processing: Advances in Image and Textual Analysis." This special session will bring together experts, researchers, and practitioners from the fields of artificial intelligence, image analysis, and textual processing. The event will feature keynote talks from leading AI experts alongside peer-reviewed paper presentations. Attendees will have the opportunity to present their latest research findings, introduce innovative methodologies, and discuss real-world applications, fostering collaboration and knowledge exchange. This session aims to explore cutting-edge methodologies and practical impacts of AI in advancing image and textual information processing.
Scope:
We welcome original contributions in, but not limited to, the following areas:
n Deep Learning for Image and Textual Processing
n Natural Language Understanding and Generation
n Multimodal Approaches for Image and Text Understanding
n Real-world applications in AI for Image and Textual Processing
Special Session Chair:
Xiaopeng Liu, Shandong University of Science and Technology, China
Long Chen, Imperial College London, UK
Special Session 2:
AI for Sustainable Oceans: Intelligent Data Analytics and Marine Technology
Introduction:
The sustainable development of the world’s oceans has become one of the most pressing global challenges of our time. With the rapid progress of artificial intelligence and data-driven technologies, new opportunities are emerging to better understand, protect, and utilize marine ecosystems. The special session on “AI for Sustainable Oceans: Intelligent Data Analytics and Marine Technology” aims to provide a dedicated platform for researchers, practitioners, and policymakers to exchange ideas and showcase innovations at the intersection of AI, data science, and ocean sustainability. This session will feature invited talks by leading experts as well as peer-reviewed paper presentations, fostering cross-disciplinary dialogue and collaborations. The focus will be on intelligent data analytics and cutting-edge marine technologies that contribute to sustainable ocean management, resource monitoring, and climate resilience.
Scope:
We welcome original contributions in, but not limited to, the following areas:
n AI-driven ocean monitoring and prediction
n Intelligent data analytics for marine ecosystems
n Remote sensing and computer vision for ocean observation
n Robotics and autonomous systems for marine applications
Special Session Chair:
Ying Gao, Qingdao University of Science and Technology, China
Ziyang Hong, The Chinese University of Hong Kong, Shenzhen, China
Special Session 3:
Visual and Multimodal Intelligence: From Data Understanding to Human-Centered Applications
Introduction:
The increasing complexity of contemporary environments places higher demands on intelligent systems, requiring them to perceive, understand, infer, and interact effectively with contextual information and multimodal data. With the rapid advances in computer vision, multimodal learning, and generative technologies, the field of multimodal data processing and human-centered artificial intelligence (AI) is entering a new era of opportunities. Especially with the emergence of visual large language models (VLLMs), transformative technologies have been developed for cross-modal data understanding, inference, and interaction. This special session will bring together researchers and practitioners to explore the latest developments in leveraging visual and multimodal data to design sustainable, human-centered intelligent systems, supporting applications in affective computing, smart healthcare, digital humans, intelligent transportation, and related domains.
Scope:
We welcome original contributions in, but not limited to, the following areas:
n Multimodal Data Fusion and Representation Learning (including visual, language, audio, physiological, and social signals, etc.)
◼ VLLMs and Generative AI
◼ Benchmarks and New Datasets
◼ Human-centered Visual Intelligence (including social signal processing, affective computing, and behavior understanding, etc.)
◼ Reliable and Sustainable Multimodal Artificial Intelligence
Special Session Chair:
Jiawen He, Ocean University of China, China
Wenxu Wang, Ocean University of China, China
Yiming Wang, University of Glasgow, UK