ADMA2026 Call for Poster Papers
The 22nd International Conference on Advanced Data Mining and Applications (ADMA2026) will be held in Hong Kong SAR, China, November 13-15, 2026. We invite submissions of poster papers highlighting works-in-progress (WIP) or early-stage research projects. Poster submissions offer authors an opportunity to receive feedback, engage in discussions, and showcase ongoing research to the conference community.
Poster submissions should clearly outline the research motivation, problem definition, preliminary methods, and initial experimental outcomes or findings.
Submission Site
https://cmt3.research.microsoft.com/ADMA2026
When creating a poster paper submission, authors should select the "Poster" track.
Important Dates (AoE Time)
| Submission Deadline | September 11, 2026 |
| Notification | September 18, 2026 |
| Conference Dates | November 13-15, 2026 |
Themes and Topics
Poster papers should align with the following themes:
Data Mining Theories and Technologies
- Foundations and algorithms
- Big data mining
- Data stream mining
- Graph, spatial, temporal, text, multimedia mining
- Web and social network mining
- Recommender systems
- Deep learning and generative models
- Trustworthy data mining
- Data security and privacy
- Parallel and distributed mining
- Visualization and interactive mining
Data Mining Applications
- Edge intelligence
- Bioinformatics
- E-commerce
- Healthcare informatics
- Disaster prediction & prevention
- Financial market analysis
- Education enhancement
- Internet of Things
- Smart cities
- Cybersecurity
Submission Guidelines
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Format: 4 pages (including references) using LNAI (Lecture Notes in Artificial Intelligence) format. Templates and formatting details are available in Springer's Author Instructions.
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Review Process: Single-blind review (author identities known to reviewers).
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Proceedings: Poster papers will NOT be published in the conference proceedings.
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Papers should clearly define motivation, problem statement, preliminary methods, and initial results.
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Papers must be original, unpublished, and in English.
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Reduced registration fee compared to full papers.
CMT Acknowledgment
The Microsoft CMT service was used for managing the peer-reviewing process for this conference. This service was provided for free by Microsoft and they bore all expenses, including costs for Azure cloud services as well as for software development and support.
Contact Poster Track Chairs
- Rocky Chen (The University of Queensland, Australia): tong.chen@uq.edu.au
- Jianfeng Qu (Renmin University of China, China): jfqu@ruc.edu.cn