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Sponsored AI Networking Cookbook: Practical recipes for AI-assisted network automation and development AI Networking Cookbook: Practical recipes for AI-assisted network automation and development

Author

M. Yoon

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3 papers indexed here

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Preprint Sep 2026

DejaVu: Unifying Memory Allocations to Eliminate Redundant Copies on Unified-Memory SoCs

GPU applications on unified-memory (UMA) edge platforms often inherit a discrete-GPU memory abstraction in which they allocate one buffer for the CPU, another for the GPU, and copy data between them before and after GPU execution. On UMA hardware these buffers reside in the same physical DRAM, so the copies consume ban...

Yu-Heng Zhu, Yan-Bo Zhao, Jia-Jia Li et al. · 0 citations
#machine learning Conference Open access Oct 2024

AdaptAV: Continuous Adaption of Vision Models for Autonomous Vehicles Using Cloud-based Oracle

This work uses the abundant compute resources of the cloud to run a highly-accurate oracle model that will guide the retraining process of the on-vehicle model, leading to improved inference accuracy over time.

Yu-Heng Zhu, Dhruva Ungrupulithaya, Boluo Ge et al. · 1 citation
#machine learning Book Open access Dec 2025

FrameScope: Temporal Data Valuation for Stream Active Learning in Autonomous Vehicle Systems

Autonomous vehicles operate in dynamic, ever-changing environments where new scenarios and edge cases constantly emerge. As a result, static learning models are inadequate for ensuring safe and reliable operation. Continuous learning is essential for adapting to these evolving conditions and maintaining robust performa...

Yu-Heng Zhu, M. Yoon · 0 citations

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