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Qiang Xu
Qiang Xu
Graduate Research Assistant, Purdue University
在 purdue.edu 的电子邮件经过验证 - 首页
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An in-depth study of uplink performance of 5G mmWave networks
M Ghoshal, ZJ Kong, Q Xu, Z Lu, S Aggarwal, I Khan, Y Li, YC Hu, ...
Proceedings of the ACM SIGCOMM Workshop on 5G and Beyond Network …, 2022
262022
Proactive {energy-aware} adaptive video streaming on mobile devices
J Meng, Q Xu, YC Hu
2021 USENIX Annual Technical Conference (USENIX ATC 21), 303-316, 2021
142021
Can 5G mmWave Support Multi-user AR?
M Ghoshal, P Dash, Z Kong, Q Xu, YC Hu, D Koutsonikolas, Y Li
International Conference on Passive and Active Network Measurement, 180-196, 2022
102022
NextG-up: a tool for measuring uplink performance of 5G networks
M Ghoshal, I Khan, Q Xu, ZJ Kong, YC Hu, D Koutsonikolas
Proceedings of the 20th Annual International Conference on Mobile Systems …, 2022
32022
AccuMO: Accuracy-Centric Multitask Offloading in Edge-Assisted Mobile Augmented Reality
ZJ Kong, Q Xu, J Meng, YC Hu
Proceedings of the 29th Annual International Conference on Mobile Computing …, 2023
22023
An Empirical Study on the Impact of Deep Parameters on Mobile App Energy Usage
Q Xu, JC Davis, YC Hu, A Jindal
2022 IEEE International Conference on Software Analysis, Evolution and …, 2022
22022
Do Larger (More Accurate) Deep Neural Network Models Help in Edge-assisted Augmented Reality?
J Meng, Z Kong, Q Xu, YC Hu
Proceedings of the ACM SIGCOMM 2021 Workshop on Network-Application …, 2021
12021
App Parameter Energy Profiling: Optimizing App Energy Drain by Finding Tunable App Parameters
Q Xu, YC Hu, A Jindal
arXiv preprint, 2020
12020
NextG-UP: a longitudinal and cross-sectional study of uplink performance of 5G networks
M Ghoshal, I Khan, Q Xu, ZJ Kong, YC Hu, D Koutsonikolas
Proceedings of the 28th Annual International Conference on Mobile Computing …, 2022
2022
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