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ICML
2024

Topics

Links

Important Dates

Last date for full Submission Deadline:

September 30, 2024

Last date for full Notification Deadline:

October 7, 2024

Last date for full Camera Ready Deadline:

November 1, 2024

Contact Us

Ms. Yan

Conference Secretary

contact.icml1@gmail.com

contact.icml2@gmail.com

Intelligent and Semantic Communications

Source and Channel Coding for Semantic Communications
Age of Information and Data Semantics
Resource Management in Semantic Communications Networks
Communication and Control Co-Design
User Privacy and Security
Energy Aspects for Semantic Communications
Semantic Communications in Emerging Wireless Networks
Integration of Data Semantics with Network Softwarization

Next Generation Communication And Networking

Networking for Cloud and Fog computing
Mobile Cloud Computing (MCC) and Multi-access Edge Computing (MEC)
Data center network architectures and performance
Integrated networking, storage, and computing
Networking flying vehicles such as UAVs and drones
Networked and Cloud Robotics
Next-generation access networks
Next-generation flow management: resource sharing, congestion control
Converged networks and applications
Internet of Things (IoT), M2M, D2D, MTC
Future Internet and next-generation networking architectures
Mobile security: device, application, and data

Telecommunication Systems

Adaptive communications
Channel estimation
Cognitive vehicular ad hoc networks
Cooperative communications
Channel coding
Interference management
Massive mimo systems
Modulation techniques
Mimo systems
Novel applications enabled by telecommunication networking systems
Ofdm communications
Power line communication
Satellite communication
Spread-spectrum communications
Uwb communications
Wireless broadcasting
Wireless communication

Optical Communication and Machine Learning

Optical Communication Technology and Applications
Optical Communication Systems and Networks
Optical signal processing
Fiber optic communication
Optical integration technology
Space optical communication
The Application of Machine Learning in Optical Communication
Intelligent Optical Network
Optical communication signal processing
Performance evaluation of optical communication
Optical communication security
Adaptive learning of optical communication systems
Optical Communication and Quantum Computing
Optical Communication and Internet of Things
Optical Communication and Artificial Intelligence
Application examples of machine learning algorithms in optical communication
Integration of optical communication and machine learning software and hardware
Optical communication standards and protocols

Machine Learning and Intelligent Communications

Intelligent cooperative networks
Intelligent massive MIMO communication systems
Intelligent positioning and navigation systems
Intelligent cooperative/distributed coding
Intelligent radar signal processing & satellite communications
Machine learning algorithms & cognitive radio networks
Machine learning and information processing in wireless sensor networks
Federated learning for wireless communication systems
Federated learning applications
Spacecraft & Space Network
Pre-trained technology in communications
Machine Learning & Network Security
Image Processing & Pattern Recognition for Intelligent Communications
Natural Language Processing for Communication Systems
Multi-Modality Learning in Intelligent Communication Applications

Deep Learning and Machine Learning

Learning Theory
Learning Robots
Artificial Neural Network (ANN)
Learning/Adaption of Recognition and Perception
Least-squares SVM (LS-SVM)
Machine Learning for Signal Processing
Machine Learning Methods
Kernel Design
Kernel Methods and Graphical Models
Learning and Adaptive Control
Learning for Handwriting Recognition
Learning in Process Automation
Learning of Action Patterns
Learning of Appropriate Behavior
Neural Methods
Neural Networks
Sparsity-Aware Learning
Subspace/Manifold Learning
Support Vector Machines (SVM)
Learning for Handwriting Recognition
Twin SVM (TWSVM)
Network Analysis and Intrusion Detection
Bayesian and Distributed Learning

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