Jinan CHARAFEDDINE

Employment

• Université Paris-Saclay Researcher
  2017 - 2023
• Ecole Supérieure d'Ingénieurs Léonard de Vinci

Education

Education history is unavailable.

Projects & Funding

Projects & funding information is unavailable.

Publications (52)

• Edge artificial intelligence: Past advances, current paradigms, and emerging horizons
  Engineering Applications of Artificial Intelligence 2026 DOI: 10.1016/j.engappai.2026.115635
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• Enhancing semi-supervised multi-view graph convolutional networks via supervised contrastive learning and self-training
  Knowledge-Based Systems 2026 DOI: 10.1016/j.knosys.2026.116500
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• SCS-SupCon: Sigmoid-based common and style supervised contrastive learning with adaptive decision boundaries
  Expert Systems with Applications 2026 DOI: 10.1016/j.eswa.2026.131308
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• A Re-Node self-training approach for deep graph-based semi-supervised classification on multi-view image data
  Information Fusion 2026 DOI: 10.1016/j.inffus.2025.103887
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• Composite multi-exit contrastive learning for causal disentangling of deep representations
  Engineering Applications of Artificial Intelligence 2026 DOI: 10.1016/j.engappai.2026.115967
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• Empowering MIMO-FSO Systems: RIS Technology for Enhanced Performance in Challenging Conditions
  IEEE Open Journal of the Communications Society 2025 DOI: 10.1109/OJCOMS.2025.3553813
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• Unified Multi-view Data Clustering: Simultaneous Learning of Consensus Coefficient Matrix and Similarity Graph
  Cognitive Computation 2025 DOI: 10.1007/s12559-024-10392-z
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• Optimizing FSO System Performance: Integrating Machine Learning for Security and Reliability
  5th IEEE Middle East and North Africa Communications Conference Breaking Boundaries Pioneering the Next Era of Communication Menacomm 2025 2025 DOI: 10.1109/MENACOMM62946.2025.10911027
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• One-phase multi-view clustering with unified graph and data representation convolution
  Soft Computing 2025 DOI: 10.1007/s00500-025-10533-y
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• Multi-view learning with graph convolution networks adopting diverse graphs and genuine deep feature fusion
  Artificial Intelligence Review 2025 DOI: 10.1007/s10462-025-11301-y
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