ACM Multimedia Asia 2025
December 9 – 12, 2025
Grand Millenium Hotel, Kuala Lumpur, Malaysia
Call for Papers
ACM Multimedia Asia is a SIGMM organised conference that will be held in Malaysia from Dec 9-12 2025. It has an extensive program that includes technical sessions covering all aspects of the multimedia field in forms of oral and poster presentations, tutorials, panels, demonstrations, brave new idea, and doctoral symposium.
The scope of the ACM Multimedia Asia 2025 will cover new technology frontiers and new use cases, in the multimedia areas, to discuss and envision the future of both technology and applications. It invites submission of research papers presenting novel theoretical and algorithmic solutions addressing problems across the domain of multimedia and related applications.
Call For Paper (MMAsia 2025).pdfUpdates
Stay tuned for more updates here.
Deadlines for Regular Paper / Short Paper / Special Session Submission Extended to August 13, 2025
Submission site is now open: https://cmt3.research.microsoft.com/mmasia2025 (June 12, 2025)
Selected best papers will be invited to submit a full-length paper to a special issue of ACM Transactions on Multimedia Computing, Communications and Applications (TOMM).
Keynote Speakers
MM Asia 2025 Distinguished Keynote Speakers.
Prof. Liu Zhiyuan
Tsinghua University, China
Liu Zhiyuan is a Tenured Associate Professor in the Department of Computer Science at Tsinghua University. His main research interests cover large language models, knowledge graphs, and social computing. He has published over 200 papers in international journals and conferences on AI with over 67k citations and has released series of MiniCPM and MiniCPM-o/v models specifically designed on device. He was listed as an Elsevier China Highly Cited Scholar for five consecutive years (2020–2024) and in MIT Technology Review's 35 Innovators Under 35 (China).
Talk Title: Towards Artificial General Intelligence: Key Challenges and Trends
Talk Abstract: In early 2025, DeepSeek V3 and R1 released by China’s DeepSeek Team attracted global attention. This demonstrates that Chinese teams can maximize the utilization of limited resources through algorithmic innovations despite constraints from computing power bottlenecks, achieving advanced model capabilities with low cost and high quality. These two models reflect two main themes in the development of artificial intelligence: enhancing model intelligence through algorithmic innovations to expand the capability spectrum of AI; achieving continuous improvement in the capability density of models, rapid reduction in training and application costs, and high-quality development of AI through synergistic innovation across data, models, and computing power—laying the foundation for AI inclusivity. This talk will explore the development trends of large models moving towards artificial general intelligence from these two perspectives.
Prof. Shin'ichi Satoh
National Institute of Informatics (NII), Tokyo, Japan
Prof. Cathal Gurrin
Dublin City University, Ireland
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