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Author

Liang Yao

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Preprint Sep 2026

DroneWAM: Efficient World Action Model for Drone Visual Navigation

DroneWAM adopts a JEPA-based architecture to model future states directly in representation space, avoiding the cost of explicit future image generation and reduces the average prediction depth from 8 to 4.58 while improving trajectory accuracy, demonstrating that predictive computation can be allocated more effectivel...

Liang Yao, Fan Liu, Hong-Bo Lu et al. · 0 citations
Preprint Aug 2026

Gradient Mirage: Trainable yet Label-Unidentifiable Gradients in Large Language Model Split Learning

The key idea is to induce the adversary to solve a misspecified inverse problem, in which no plausible label sequence in the sequence space can explain the observed gradients, by inducing inconsistency across three dimensions: objective, direction, and scale.

Shiyu Miao, Yunlong Mao, Zirui Huang et al. · 0 citations

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