# MLICOM — EAI International Conference on Machine Learning and Intelligent Communications - **Submission deadline**: 2026-08-31 - **Notification date**: 2026-09-20 - **Conference date**: 2026-11-07 - **Location**: Sanya, China - **Conference Partner Index**: 49.4/100 (ranked #1640, confidence 0.45, algorithm 1.1) — how this is computed: https://www.myhuiban.com/ranking - **Trackers**: 0 - **Attendees**: 0 - **Canonical page**: https://www.myhuiban.com/conference/3174 ## Past editions | Year | Deadline | Conference date | Location | |---|---|---|---| | 2020 | 2020-04-15 | 2020-07-25 | Shenzhen, China | ## Call for papers Scope Emerging artificial intelligence (AI) and machine learning (ML) technologies, coupled with advanced intelligent communications, are driving a paradigm shift across academic research and industrial applications. From multi-modality learning to federated intelligence, these technologies are not only revolutionizing wireless communication systems (e.g., physical layer optimization, intelligent decision-making, and secure data transmission) but also enabling deep integration with diverse fields such as healthcare, industry, manufacturing, education, culture, governance, and digital humanities. The integration of ML and intelligent communications breaks through traditional domain boundaries—for instance, realizing secure transmission of medical data via federated learning, optimizing industrial IoT communication for smart manufacturing, and facilitating cross-cultural humanistic exchange through intelligent language processing. MLICOM 2026 aims to build a comprehensive academic platform that bridges ML/AI algorithms, intelligent communication technologies, and cross-domain applications. We welcome high-quality original research papers (theoretical, experimental, or application-oriented) focusing on recent advancements, challenges, and innovative solutions at the intersection of ML and intelligent communications. By covering a broad spectrum of fields including digital humanities, the conference seeks to foster interdisciplinary dialogue among academia, industry, and public sectors, and serve as a catalyst for the development of next-generation intelligent communication systems and their practical deployments. Topics 1. ML & Intelligent Communications Foundations Intelligent cloud / edge / cloud-edge collaborative communications ML-driven resource allocation (spectrum, power, computation, bandwidth) Green and energy-aware intelligent communications (sustainable network design) Intelligent software-defined radios (SDR) and flexible communication architectures Intelligent massive MIMO, beamforming, and dynamic antenna configuration Cooperative and distributed coding & signal processing for intelligent networks Wireless sensor networks (WSN) and IoT: ML-optimized data transmission Satellite and radar communications: intelligent signal processing and anti-interference Cognitive radio networks: ML-based spectrum sensing and sharing Federated learning (FL) and distributed learning for secure communication systems Multi-modality learning for cross-media communication (text, image, audio, video) Pre-trained models and transfer learning in intelligent communications Generative AI for communication content generation and error correction ML-driven network security, privacy preservation, and trust management 2. Cross-Domain Applications of ML 2.1 Industry & Manufacturing Industrial IoT (IIoT) communication optimization for smart factories ML-driven predictive maintenance via real-time industrial data transmission Intelligent communication in collaborative robotics and automated production lines 2.2 Education & E-Learning Intelligent remote teaching communication platforms (adaptive bandwidth allocation) ML-based personalized learning: communication optimization for educational data Secure transmission of educational big data and cross-institutional collaboration AI-driven interactive communication tools 2.3 Government & Public Services Smart governance communication platforms Secure communication for e-government AI-driven traffic and transportation communication Environmental monitoring: ML-based communication for sensor networks 2.4 Other Emerging Applications Intelligent unmanned systems (vehicles, drones): communication and adaptive sensing Accessible communication: ML-optimized solutions for people with disabilities ML-based semantic communication and cultural adaptation Digital archaeology: communication optimization for remote sensing data AI-assisted preservation of endangered languages: intelligent speech and text communication ML-based analysis of humanistic communication patterns 3. Other Relevant Topics Datasets and evaluation metrics for ML-empowered intelligent communications Low-resource language processing in cross-lingual communication Edge AI for resource-constrained communication devices Quantum machine learning for next-generation secure communications Ethical and regulatory issues of AI-driven intelligent communications ## Related conferences - EAI CHINACOM — EAI International Conference on Communications and Networking in China — https://www.myhuiban.com/conference/106 - EAI WiCON — EAI International Conference on Wireless Internet — https://www.myhuiban.com/conference/105 - EAI SecureComm — EAI International Conference on Security and Privacy in Communication Networks — https://www.myhuiban.com/conference/368 - EAI SmartGIFT — EAI International Conference on Smart Grid and Innovative Frontiers in Telecommunications — https://www.myhuiban.com/conference/3316 - SIGIR — International Conference on Research and Development in Information Retrieval — https://www.myhuiban.com/conference/141 ## Related journals - Machine Learning — https://www.myhuiban.com/journal/194 - IEEE Transactions on Multimedia — https://www.myhuiban.com/journal/152 - Knowledge-Based Systems — https://www.myhuiban.com/journal/227 - Software & Systems Modeling — https://www.myhuiban.com/journal/99 - IEEE Transactions on Computers — https://www.myhuiban.com/journal/3 --- Source: Conference Partner — https://www.myhuiban.com/conference/3174 (rankings reproduced from CCF / ICORE / QUALIS; data cached up to 1 hour)