2 papers
cs.CL2019
Towards Hierarchical Importance Attribution: Explaining Compositional Semantics for Neural Sequence Models
Xisen Jin, Zhongyu Wei, Junyi Du +2
The impressive performance of neural networks on natural language processing tasks attributes to their ability to model complicated word and phrase compositions. To explain how the…
cs.NI2019
A TDMA-like Access Scheme with Splitting Request and Transmission for Vehicular Networks
Shenglong Peng, Xuan He, Junyi Du +2
In this paper, we consider safety message transmission in a dense vehicular network. With increasing vehicular network density, the collision rate increases when multiple vehicles…