BTFM 2026

Call for Papers

Topics of interest for submission include, but are not limited to, the following:

Blockchain protocols and architectures
Consensus algorithms
Blockchain for IoT
Smart contracts
Privacy and anonymity
Blockchain security
Decentralized identity
Blockchain in finance and DeFi
Energy-efficient blockchain
Cross-chain interoperability

Blockchain Technology

Model architectures and training
Multimodal models
Scalable pretraining
Domain adaptation
Responsible and ethical AI
Knowledge reasoning
Robustness and bias
Model compression
Real-world applications
Security and privacy

Foundation Models

Submission Instructions

English is the official language, and the paper mustbe written in English only.
A full Paper is required for publication purposes.
An abstract is required for presentation purposes only.
The submitted papers must be original and not under consideration elsewhere.
Authors of formally accepted papers will be required to prepare a presentation, either as an onsite talk or a poster display. At least one author of each accepted paper must register for and attend the conference.

Templates for submission

The paper should be no less than 4 pages. The paper is limited with 4 pages, including figures, tables & references (Additional pages will be permitted at the cost of $50 per additional page).

Steps for Paper Submission

Please log in RDLink (Electronic Submission System), fill in related information and submit your paper. You will be notified after the staff get the review result, which normally around 5-7 days after submission. If you did not receive the feedback after the duration, please contact icbtfm@163.com.

Click the Submit button below
Create an RDLink account (for new user)
Log in RDLink with user name and password
Fill out the form and upload your paper in .doc and .pdf format
Complete the submission and make sure you receive a response from conference secretary

Publication

All submissions will undergo a double-blind peer review by 2-3 experts in relevant fields. Acceptance will be based on the quality of the paper and satisfactory revisions in response to reviewers’ comments. Accepted papers, following proper registration and presentation, will be published by IEEE (ISBN: 979-8-3195-4182-6), included in the IEEE Xplore database and submitted for indexing in EI Compendex and Scopus.

Notes

Academic integrity represents the moral code and ethical policy upheld within academia, encompassing values such as honesty, rigor in research, the avoidance of cheating and plagiarism, and adherence to high academic standards. Scholars are expected to strictly follow these principles; failure to do so grants the review committee the authority to reject a paper outright during the review process. Given that databases are continuously updated, if plagiarism or a high repetition rate is later identified, the publisher reserves the right to reject the paper from publication. In such cases, the author bears full responsibility for any infractions.

Guidelines for Using Generative AI (GenAI) Tools in Manuscripts

Generative AI tools can assist in academic writing but must be used responsibly to maintain research integrity. Authors bear full responsibility for all manuscript content, including AI-generated material. Please follow these guidelines:

Language and Formatting:

GenAI tools (e.g., ChatGPT, Grammarly) may be used to improve grammar, spelling, and formatting. Authors must carefully review and edit all AI-generated content for accuracy and coherence.

Content Accuracy & Originality:

Verify the correctness of AI-generated text, citations, and data. Use plagiarism detection tools to ensure originality and avoid copyright issues.

Figures and Data:

Review AI-generated charts and visuals to ensure they accurately represent the original data and do not mislead.

Transparency and Disclosure:

Disclose the use of AI tools in the Methodology or Acknowledgements section, specifying the tool name, version, and specific use (e.g., language editing, data analysis).

No Data Fabrication or Manipulation:

Do not use GenAI to create, fabricate, or manipulate data or images in a way that distorts research results.

Limitations and Authorship:

GenAI tools cannot replace human research efforts or be credited as authors. Only human contributors responsible for the work should be listed as authors.