ADMA2026 Call for Short 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 short papers presenting original, novel, and ongoing research in all aspects of data mining, including innovative applications, new algorithms, software development, and system implementations, as well as interdisciplinary studies exploring the use of data mining techniques.
Short papers provide authors with the opportunity to present concise contributions. All accepted short papers will be included in the ADMA2026 conference proceedings and presented at the conference as posters.
Submission Site
https://cmt3.research.microsoft.com/ADMA2026
When creating a short paper submission, authors should select the "Short Paper" track.
Important Dates (AoE Time)
| Submission Deadline | August 7, 2026 |
| Notification | September 7, 2026 |
| Camera-Ready Submission Deadline | September 14, 2026 |
| Conference Dates | November 13-15, 2026 |
Themes and Topics
Short 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
Formatting Guidelines
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Format: 6-8 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: Short papers will be published in the conference proceedings.
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Papers must be original, unpublished, and in English.
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Reduced registration fee compared to full papers.
Supplementary Materials
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Supplementary materials, such as technical appendices, source codes, and datasets, may be submitted separately in a single file to CMT, in ZIP or PDF format within 20MB, using the "Upload Supplementary Material" button.
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There is no page limit for your supplementary materials. The main paper, including references, acknowledgements, limitation claims, etc., should NOT exceed 8 pages in the LNAI format. Please do not attach technical appendices at the end of the main paper if this causes your file to be over the 8-page limit. Any submission violating this submission policy will be desk-rejected.
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The deadline for submitting supplementary materials will be 3 days after the paper submission deadline.
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Instead of using CMT, you may also choose to upload your supplementary materials to a repository (e.g., GitHub) and provide a URL in your paper. So, our reviewers can refer to the repository for your supplementary materials. This option is recommended if your files are over the 20MB size limit. Please do not edit the repository after the supplementary materials submission deadline.
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 Short Paper Track Chairs
- Guandong Xu (The Education University of Hong Kong, Hong Kong, China): gdxu@eduhk.hk
- Xiao Huang (The Hong Kong Polytechnic University, Hong Kong, China): xiao.huang@polyu.edu.hk
- Xiang Zhao (National University of Defense Technology, China): xiangzhao@nudt.edu.cn
Short Paper PC Members
We thank the following Program Committee members for their valuable contributions and thoughtful reviews.
Alex Delis, University of Athens
Chang Yang, The Hong Kong Polytechnic University
Chaoran Huang, University of New South Wales
Chengcheng Mai, Nanjing Normal University
Chengcheng Yang, East China Normal University
Dan Li, Sun Yat-Sen University
Haïfa Nakouri, ISG Tunis
Hang Yu, Shanghai University
Hao Xin, Hong Kong University of Science and Technology
Hongru Ma, Beihang University
Jie Zhao, National University of Defense Technology
Jing Zhao, State Key Laboratory of Precision Blasting, Jianghan University; School of Artificial Intelligence, Jianghan University
Junya Arai, Nippon Telegraph and Telephone Corporation
Kangzheng Liu, Huazhong University of Science and Technology
Lei Li, The Hong Kong University of Science and Technology (Guangzhou)
Li Li, Southwest University
Linjiang Guo, University of Technology Sydney
Lishan Yang, The University of Adelaide
Meghjeet Vartak, TransUnion
Mehmet Ali Kaygusuz, Middle East Technical University
Minghao Zhao, East China Normal University
Mingyue Cheng, University of Science and Technology of China
Muhammad Haris, L3S
Pengpeng Qiao, Institute of Science Tokyo
Ping Lu, Beihang University
Qiang Qu, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences
Rongjun Ye, The Hong Kong Polytechnic University
Shatrughna Upadhyay, Intuit Inc
Shuai Xu, Nanjing University of Aeronautics and Astronautics
Silvestro Roberto Poccia, University of Turin
Su Dong, Hong Kong Polytechnic University
Tanmaykumar Shah, JPMorgan Chase
Thanh Tam Nguyen, Griffith University
Tieke He, Nanjing University
Tiezheng Nie, Northeastern University
Wei Li, Harbin Engineering University
Weijian Ma, Fudan University
Weixin Zeng, National University of Defense Technology
Wenda Tang, China Telecom Cloud Computing Research Institute
Wenhao Liang, The University of Adelaide
Wenpeng Lu, Qilu University of Technology (Shandong Academy of Sciences)
Xiao Pan, Shijiazhuang Tiedao University
Xiaoxiao Chi, Macquarie University
Yanfeng Zhang, Northeastern University
Yanhao Wang, East China Normal University
Yu Yang, The Education University of Hong Kong
Yuankai Fan, Institute of Artificial Intelligence (TeleAI), China Telecom
Yuliang Ma, Northeastern University
Yunfei Zhao, Abaka AI
Yurong Cheng, Beijing Institute of Technology
Yutong Han, Dalian Minzu University
Yuxiang Zeng, Hong Kong University of Science and Technology
Yuxiao Duan, National University of Defense Technology
Zheng Liu, Nanjing University of Posts and Telecommunications
Zhixu Li, Renmin University of China