BDNNDL 2026 (Symposium on Big Data, Neural Networks, and Deep Learning) is an academic conference held in Changji, China on 2026-09-11. The paper submission deadline is 2026-08-28. Acceptance notifications are sent on 2026-08-28.
The topics of interest for submission include, but are not limited to:
◕ Track 1: Big Data Analysis and Intelligent Computing
Big Data Processing and Analysis
Data Mining Technology
Data Visualization
Data-Driven Decision
Distributed Computing and Storage
Cloud Computing and Big Data Platform
High Performance Computing
Data Management and Optimization
Real-time Data Analysis
Intelligent Data System, etc.
◕ Track 2:Computer Vision and Pattern Recognition
DImage Processing and Analysis
Object Detection and Recognition
Image Classification
Video Analysis
Pattern Recognition Technology
Face Recognition and Authentication
Medical Image Analysis
Intelligent Sensing System
3D Vision and Reconstruction
Multimedia Information Processing, etc.
◕ Track 3: Neural Networks and Intelligent Computing
Artificial Neural Networks
Deep Neural Networks
Convolutional Neural Networks
Recurrent Neural Networks
Graph Neural Networks
Reinforcement Learning
Model Optimization and Training
Intelligent Optimization Algorithms
Neural Computing Methods
Bio-inspired Computing, etc.
◕ Track 4: Intelligent Systems and Industry Applications
Intelligent Manufacturing
Smart Healthcare
Smart Transportation
Smart City
Financial Intelligent Analysis
Industrial Intelligent System
Intelligent Recommendation System
Intelligent Monitoring and Prediction
Internet of Things and Intelligent Applications
Digital Transformation Technology, etc.
◕ Track 5:Deep Learning and Intelligent Algorithm
Deep Learning Methods
Representation Learning
Transfer Learning
Federated Learning
Generative Artificial Intelligence
Multimodal Learning
Intelligent Prediction and Classification
Feature Learning and Extraction
Model Compression and Acceleratio, etc..
◕ Track 6: Data Security and Trustworthy Intelligence
Data Security and Privacy Protection
Network Security
Intelligent System Security
Trustworthy Artificial Intelligence
Data Governance
Explainable Artificial Intelligence
Blockchain and Data Trust
Robust Learning and Adversarial Techniques
Privacy Computing
Intelligent Risk Assessment, etc.
l Other related topics
아직 댓글이 없습니다.