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About BDNNDL 2026

The 3rd Symposium on Big Data, Neural Networks, and Deep Learning (BDNNDL 2026) is excited to welcome you to Changji, Xinjiang, China. Please mark your calendars for September 11-13, 2026. This event is a key opportunity to join the global conversation that is shaping the future of Artificial Intelligence. We invite you to be part of this important gathering.
The conference will focus on the latest developments inBig Data, Neural Networks, and Deep Learning. It serves as a leading international platform for experts, researchers, and engineers from universities and companies worldwide. Through keynote speeches, group sessions, and interactive discussions, we will share new ideas and showcase the latest research. Together, we will explore key challenges and future directions, helping to connect academic theories with real-world industry applications.


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Important Dates

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Full Paper Submission Date

June 23, 2026


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Notification Deadline

July 28, 2026


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Final Paper Submission Date

August 12, 2026


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Registration Deadline

August 27, 2026


CFP

Conference Topics


Big Data

Cloud computing Internet of Things

Artificial Intelligence

Machine learning

Data mining and intelligent decision-making

Network and information security

Communication anti-interference system

Electronic countermeasure system

Command automation system

Satellite remote sensing system and image processing

Video coding

Audio processing

Multimedia content analysis

Virtual reality and augmented reality

Information encoding and signal transmission

Speech and image processing

Multimedia communication technology

Signal processing, etc.


Neural Network

Convolutional Neural Network

Recurrent Neural Network

Application of Neural Network in Medical Image Analysis

Robot Control

Optimal Combination

Knowledge Engineering Artificial Intelligence

Logical programming design

Human-computer interaction

Signal processing

Information extraction

Natural language inference

Neural network structure, etc.


Deep Learning

Deep learning basic algorithms

Deep learning in computer vision

Combination of natural language processing and vision

Transfer learning

Domain adaptation

Reinforcement learning

Joint learning and privacy protection

Self-supervised and unsupervised learning

Interpretability of deep learning models

Edge computing

Intelligent environment perception

Automated computing

Language translation

Computer games

Image processing, etc.


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Supported by

Sponsor

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supporter

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Co-supporter

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IEEE Beijing Chapter, Computational Intelligence Society of Shandong Branch 

Joint Laboratory of Cross-media Big Data of China University of Petroleum (East China)

contact
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Contact

Conference Secretary: Wendy

Tel: +86-18138788748(Wechat)

E-Mail: ic_bdnndl@163.com

If you have any questions or inquiries, please feel free to contact us.

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