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Sponsored AI AM CLAUDE, A Beginner's Guide: Learn the basics of working with AI AI AM CLAUDE, A Beginner's Guide: Learn the basics of working with AI

Author

Zihan Fang

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2 papers indexed here

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Conference Open access Sep 2026

Boosting Knowledge Transfer and Retention with Brain-inspired Multi-View Incremental Learning

Inspired by underlying neural processing mechanisms, a novel view incremental learning framework named Hebbian View Orthogonal Projection is proposed, which constructs a knowledge transfer space, where gradient updates are projected onto the orthogonal complement of historical representations, thereby mitigating interf...

Yu-Hong Chen, Zi-Han Fang, Hui-Feng Yin et al. · 0 citations
Conference Open access Sep 2026

McGcn: Learning Continuous Graph Dynamics for Multi-Channel Fusion

A novel framework for multi-channel data fusion that integrates a multi-channel encoding module with continuous feature dynamics to initialize and evolve the latent node representations over static graph topologies, and effectively mitigates the performance degradation typically associated with deep graph architectures...

Na Song, Zi-Han Fang, Wei-Dong Zhang et al. · 0 citations

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