10 citations · 15 across the 3 of their papers we have counts for
5 papers
Localised Adaptive Spatial-Temporal Graph Neural Network
Wenying Duan, Xiaoxi He, Zimu Zhou +2
Spatial-temporal graph models are prevailing for abstracting and modelling spatial and temporal dependencies. In this work, we ask the following question: whether and to what exten…
AdaEnlight: Energy-aware Low-light Video Stream Enhancement on Mobile Devices
Sicong Liu, Xiaochen Li, Zimu Zhou +4
The ubiquity of camera-embedded devices and the advances in deep learning have stimulated various intelligent mobile video applications. These applications often demand on-device p…
AdaDeep: A Usage-Driven, Automated Deep Model Compression Framework for Enabling Ubiquitous Intelligent Mobiles
Sicong Liu, Junzhao Du, Kaiming Nan +3
Recent breakthroughs in Deep Neural Networks (DNNs) have fueled a tremendously growing demand for bringing DNN-powered intelligence into mobile platforms. While the potential of de…
Adaptive Loss-aware Quantization for Multi-bit Networks
Zhongnan Qu, Zimu Zhou, Yun Cheng +1
We investigate the compression of deep neural networks by quantizing their weights and activations into multiple binary bases, known as multi-bit networks (MBNs), which accelerate…
Multi-Task Zipping via Layer-wise Neuron Sharing
Xiaoxi He, Zimu Zhou, Lothar Thiele
Future mobile devices are anticipated to perceive, understand and react to the world on their own by running multiple correlated deep neural networks on-device. Yet the complexity…