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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

Ying-Feng Cai

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Open access Oct 2026

EIDrive: an efficient and interpretable visual-language framework for low-level control signal prediction in autonomous driving

In recent years, end-to-end autonomous driving models have shown promising potential by directly generating waypoints or control signals from sensor data. In particular, low-level control signals, such as steering angle and vehicle speed, directly determine vehicle motion, making their prediction accuracy and inter...

Wei Dong, Ying-Feng Cai, Xiao-Qiang Sun et al. · 0 citations
Oct 2026

HybridFusion: A Universal Multimodal Data Fusion Framework for 3-D Detection and Tracking

Environment perception based on multimodal data fusion is crucial for the development of autonomous driving (AD) technology. However, the existing fusion-based detection and tracking methods often struggle to efficiently utilize the multimodal complementary information. This limitation can significantly impact the safe...

Cheng Zhang, Hai Wang, Long Chen et al. · 0 citations
Jul 2026

Incorporating deep operator network into feedforward–feedback controller synthesis for path tracking of autonomous vehicles

In this paper, a deep operator network (DeepONet)-based feedforward–feedback control framework for autonomous vehicles’ path tracking controller is introduced. In the proposed framework, DeepONet is utilized for data-driven vehicle dynamics modeling within the feedforward control component. To improve the accuracy of l...

Ying-Feng Cai, Chenkai Tan, Hai Wang et al. · 0 citations
Sep 2026

ProtoAug: Prototype-Guided Uncertainty-Aware Augmentation for Long-Tail Motion Prediction

Mainstream motion predictors have achieved low average forecasting errors on large-scale benchmarks, yet rare scenarios still exhibit high uncertainty due to the coexistence of multimodal behavioral ambiguity and sparse long-tail supervision. Existing augmentation-based long-tail strategies improve robustness through l...

Ziheng Lu, Ying-Feng Cai, Hai Wang et al. · 0 citations

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