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Sponsored Artificial Intelligence: A Modern Approach, Global Edition Artificial Intelligence: A Modern Approach, Global Edition

Author

Jin-Hu Fu

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Preprint Aug 2026

FADE: From Passive Verification to Active Discovery in Counterfactual Video Understanding

This paper presents FADE, an effective training framework for counterfactual discovery and explanation that is built on an evidence-first, two-stage training paradigm, and demonstrates remarkable robustness when transitioning from constrained MCQs to unconstrained OQA and captioning.

Fufangchen Zhao, Jin-Hu Fu, Jiachen Lei et al. · 0 citations
Jul 2026

Toward Personalized Differentially Private Learning for Decentralized Local Graphs

PPGNN, a personalized differentially private framework for decentralized graph data, enables user-specific privacy budgets during local perturbation while preserving analytical utility in decentralized graph learning scenarios.

Longzhu He, Peng Tang, Chaozhuo Li et al. · 0 citations

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