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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

Chao Yan

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5 papers indexed here

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Conference Aug 2026

Proactive Bandwidth Orchestration in Industrial SD-WANs: A Time-Aware Deep Reinforcement Learning Approach

The aggregation of concurrent Industrial Internet of Things (IIoT) data traffic from distributed sites to the cloud frequently induces uplink congestion at the capacityconstrained cloud infrastructure ingress. Conventional reactive congestion control mechanisms are constrained by inherent feedback delays, while static...

Chen-Hong Li, You-Tian Du, Hao-Tian Zhang et al. · 0 citations
Conference Aug 2026

From Noisy Hands to Stable Grasps: Object-Centric Dexterous Retargeting

Retargeting human hand motions to dexterous robot hands from monocular video remains a challenging task due to the inherent noise, depth ambiguity, and frequent occlusions in vision-based hand pose estimation. Existing physicsbased methods often fail when the input reference trajectory violates physical constraints, le...

Ziang Huang, Chao Yan, Ruo-Dai Li et al. · 0 citations
Conference Aug 2026

COMPASS: Efficient Structured Reasoning Via Action Policy Compression*

As smart industry evolves toward human-centric collaboration, large language models are increasingly expected to function as cognitive agents that actively support complex reasoning and cooperative decision-making. However, although existing search-based reasoning methods can improve performance on complex reasoning ta...

Ke-Zhao Li, You-Tian Du, Zhi-Yuan Xu et al. · 0 citations
Conference Aug 2026

Synergizing Global Structure and Local Evidence: A Discriminative Question Answering Framework Based on Knowledge Graphs

With the recent progress of Large Language Models (LLMs), there has been paradigm-shifting improvement in natural language understanding, significantly outperforming traditional Knowledge Graph Question Answering (KGQA) methods. However, when deployed in specialized vertical domains, domain knowledge deficits of genera...

Jian-Shu Wei, Shuai-Peng Li, Xin Dong et al. · 0 citations
Conference Aug 2026

Physics-Guided Distributional Shaping for Runtime Risk Assessment in Autonomous Driving

Reliable risk assessment in interactive traffic remains a fundamental challenge, as rule-based methods rely on rigid safety constraints while pure statistical models lack explicit kinematic boundaries. We propose a physics-guided distributional shaping framework that reweights a learned interaction density with a bound...

Shuai Liu, Chao Yan, Jian-Chen Hu et al. · 0 citations

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