Scopes
(The following topics include but are not limited to)
Topic 1. Deep Learning
Basic algorithms for deep learning
Deep learning in computer vision
Combining natural language processing with vision
Transfer learning, domain adaptation
Reinforcement learning
Joint learning and privacy protection
Self-supervised and unsupervised learning
Interpretability of deep learning models
Edge computing
Topic 2. Algorithms
Evolutionary computing and learning, natural computing
Genetic algorithm
Design and analysis of geometric algorithms
Graph algorithm and graph rendering
High performance computing and processing
High performance data mining algorithm, fuzzy theory and algorithm
Natural language processing, parallel and distributed algorithms and data structures
Intelligent data fusion
Numerical analysis, sorting algorithm
Pseudo-random number generators, algorithms and data structures, evolutionary computation and learning
Genetic algorithm, random algorithm, approximation algorithm, sorting algorithm
Natural computing, quantum computing
Combinatorial optimization
Computability theory
Advanced numerical algorithms, parallel and distributed algorithms
Graphics rendering and graphics algorithms
Topic 3. Data Driven
Data-driven mobile computing and wireless communications
Data-driven computer networks
Data driven network protocol
Data-driven telecommunication
Data-driven trust, security and privacy on the web
Digital double network, open space network
5G network based on big data
Data-driven software-Defined Networking (SDN)
Web-based machine learning and deep learning techniques
Network-based model and optimization algorithm
Data-driven social network analytics
Internet of Things (IoT) and large numbers
Machine learning and data mining for multimedia in social networks
Data-driven network patterns and applications, such as intelligent transportation systems
Cloud computing and application, system performance analysis
Data mining, data quality, data visualization
Data center operation and maintenance (electricity/water/district heating, etc.)
Data center management and optimization
Topic 1. Deep Learning
Basic algorithms for deep learning
Deep learning in computer vision
Combining natural language processing with vision
Transfer learning, domain adaptation
Reinforcement learning
Joint learning and privacy protection
Self-supervised and unsupervised learning
Interpretability of deep learning models
Edge computing
Topic 2. Algorithms
Evolutionary computing and learning, natural computing
Genetic algorithm
Design and analysis of geometric algorithms
Graph algorithm and graph rendering
High performance computing and processing
High performance data mining algorithm, fuzzy theory and algorithm
Natural language processing, parallel and distributed algorithms and data structures
Intelligent data fusion
Numerical analysis, sorting algorithm
Pseudo-random number generators, algorithms and data structures, evolutionary computation and learning
Genetic algorithm, random algorithm, approximation algorithm, sorting algorithm
Natural computing, quantum computing
Combinatorial optimization
Computability theory
Advanced numerical algorithms, parallel and distributed algorithms
Graphics rendering and graphics algorithms
Topic 3. Data Driven
Data-driven mobile computing and wireless communications
Data-driven computer networks
Data driven network protocol
Data-driven telecommunication
Data-driven trust, security and privacy on the web
Digital double network, open space network
5G network based on big data
Data-driven software-Defined Networking (SDN)
Web-based machine learning and deep learning techniques
Network-based model and optimization algorithm
Data-driven social network analytics
Internet of Things (IoT) and large numbers
Machine learning and data mining for multimedia in social networks
Data-driven network patterns and applications, such as intelligent transportation systems
Cloud computing and application, system performance analysis
Data mining, data quality, data visualization
Data center operation and maintenance (electricity/water/district heating, etc.)
Data center management and optimization
Important Dates/重要日期
- Submission Deadline: 2026.6.20
- Registration Deadline: 2026.6.27
- Conference Date: 2026.7.5
- Notification Date: About a week after the submission
Submission Portal/投稿方式
Mail Address: icnfeipn_cn@163.com
If you have any question or need any assistance regarding the conference, please feel free to contact our conference specialists:
蒋老师
+86-15680824672(微信同号)
3761629232
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+86---(微信同号)
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