Conference Information

BDMLIC 2026: International Conference on Big Data, Machine Learning and Intelligent Computing

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Submission Date:
2026-09-28 Due in 87 days
Notification Date:
2026-09-29
Conference Date:
2026-09-30
Location:
Shenzhen, China
Years:
1
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Call For Papers

BDMLIC 2026 (International Conference on Big Data, Machine Learning and Intelligent Computing) is an academic conference held in Shenzhen, China on 2026-09-30. The paper submission deadline is 2026-09-28. Acceptance notifications are sent on 2026-09-29.

The 2026 International Conference on Big Data, Machine Learning and Intelligent Computing (BDMLIC 2026) will be held on September 28–30, 2026 in Shenzhen, China. The conference is dedicated to bringing together experts, scholars, researchers and technicians in the field of big data, machine learning and intelligent computing in an international event. The main objective of the conference is to provide an open, sharing and communication platform for practitioners and researchers in the related fields to discuss and share the latest scientific research results, cutting-edge technologies, and to gain a deeper understanding of the new trends in the industry. We sincerely invite you to participate in this conference and work together to promote the research and development of big data, machine learning and intelligent computing. PUBLICATION All papers will be reviewed by two or three expert reviewers from the conference committees. After a careful reviewing process, all accepted papers will be published in the Conference Proceedings by IEEE, and submitted to IEEE xplore, EI Compendex, Scopus for indexing. CALL FOR PAPERS Topics of interests are in the broad areas of Big Data, Machine Learning and Intelligent Computing, including but not limited to: · Big Data Big Data Representation Big Data Analysis and Processing Big Data Structure, Big Data Fusion Big Data Genetics Big Data Technology Big Data Privacy Data Information and Communication Technology Wireless Communication Data Data Transmission and Data Acquisition Information Science Big Data and Artificial Intelligence Big Data and Internet Big Data and Deep Learning More topics ...... · Machine Learning Deep Learning Neural Networks Visual Feature Learning Target Detection And Image Segmentation Algorithms Multimodal Visual Information Fusion 3D Vision And Point Cloud Data Learning Medical Image Machine Learning Applications Visual Perception Under Multi-Sensor Fusion Self-Supervised Learning Reinforcement Learning And Multi-Agent Systems Transfer Learning And Lifelong Learning Federated Learning And Privacy Protection Automatic Machine Learning (AutoML) Neural Architecture Search (NAS) Adversarial Machine Learning Model Interpretability Model Robustness And Security Quantum Machine Learning More topics ...... · Intelligent Computing Genetic Algorithm Simulated Annealing Algorithm Tabu Search Algorithm Evolutionary Algorithm Heuristic Algorithm Ant Colony Algorithm Artificial Fish Swarm Algorithm Particle Swarm Algorithm Hybrid Intelligent Algorithm Immune Algorithm Rough Set Theory Neural Network Biological Computing DNA Computing Quantum Computing Intelligent Computing and Optimization Pattern Recognition Knowledge Discovery Data Mining Information Security Medical Diagnosis Intelligent Computing Applications More topics ......
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