16 citations · 20 across the 5 of their papers we have counts for
5 papers
Adaptive DNN Surgery for Selfish Inference Acceleration with On-demand Edge Resource
Xiang Yang, Dezhi Chen, Qi Qi +4
Deep Neural Networks (DNNs) have significantly improved the accuracy of intelligent applications on mobile devices. DNN surgery, which partitions DNN processing between mobile devi…
Can Shuffling Video Benefit Temporal Bias Problem: A Novel Training Framework for Temporal Grounding
Jiachang Hao, Haifeng Sun, Pengfei Ren +3
Temporal grounding aims to locate a target video moment that semantically corresponds to the given sentence query in an untrimmed video. However, recent works find that existing me…
PICO: Pipeline Inference Framework for Versatile CNNs on Diverse Mobile Devices
Xiang Yang, Zikang Xu, Qi Qi +4
Distributing the inference of convolutional neural network (CNN) to multiple mobile devices has been studied in recent years to achieve real-time inference without losing accuracy.…
Cloud Service-Aware Location Update in Mobile Cloud Computing
Qi Qi, Yufei Cao
Mobile devices are becoming the primary platforms for many users who always roam around when accessing the cloud computing services. From this, the cloud computing is integrated in…
Loss Rate Based Fountain Codes for Data Transfer
Jianxin Liao, Lei Zhang, Xiaomin Zhu +2
Fountain codes are becoming increasingly important for data transferring over dedicated high-speed long-distance network. However, the encoding and decoding complexity of tradition…