New Accepted Paper: Hier-EI

Our paper "Tackling the Imbalance in Video Analytics Pipelines with Hierarchical Embodied Intelligence" is Accepted by IEEE INFOCOM 2026!

This paper proposes Hier-EI (Hierahical Embodied Intelligence), an efficient scheduling framework that integrates a two-phase hierarchical design with embodied intelligence, which simultaneously considers spatial and temporal imbalance and enhance long-term QoE performance in cloud-edge collaborative video analytics pipelines.

Refer to homepage: https://dayu-autostreamer.github.io/hier-ei/.

For more information, please refer to:

Wenhui Zhou, Lei Xie, Jingyi Ning, Shuyu Cao, Hao Wu, Qinghua Peng and Long Fan. Tackling the Imbalance in Video Analytics Pipelines with Hierarchical Embodied Intelligence. IEEE INFOCOM, pp.1-10, 2026.