activity
20122022
most citedMachine Learning for Networking: Workflow, Advances and Opportunities

447 citations · 501 across the 13 of their papers we have counts for

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7 papers · 1 filter

cs.NI20221 cited

Enabling Personalized Video Quality Optimization with VidHoc

Xu Zhang, Paul Schmitt, Marshini Chetty +2

The emerging video applications greatly increase the demand in network bandwidth that is not easy to scale. To provide higher quality of experience (QoE) under limited bandwidth, a…

cs.NI20226 cited

AccMPEG: Optimizing Video Encoding for Video Analytics

Kuntai Du, Qizheng Zhang, Anton Arapin +3

With more videos being recorded by edge sensors (cameras) and analyzed by computer-vision deep neural nets (DNNs), a new breed of video streaming systems has emerged, with the goal…

cs.NI202015 cited

SENSEI: Aligning Video Streaming Quality with Dynamic User Sensitivity

Xu Zhang, Yiyang Ou, Siddhartha Sen +1

This paper aims to improve video streaming by leveraging a simple observation: users are more sensitive to low quality in certain parts of a video than in others. For instance, reb…

cs.NI20201 cited

A New Abstraction for Internet QoE Optimization

Junchen Jiang, Siddhartha Sen

A perennial quest in networking research is how to achieve higher quality of experience (QoE) for users without incurring more resources. This work revisits an important yet often…

cs.NI2017447 cited

Machine Learning for Networking: Workflow, Advances and Opportunities

Mowei Wang, Yong Cui, Xin Wang +2

Recently, machine learning has been used in every possible field to leverage its amazing power. For a long time, the net-working and distributed computing system is the key infrast…

cs.NI20152 cited

Analyzing TCP Throughput Stability and Predictability with Implications for Adaptive Video Streaming

Yi Sun, Xiaoqi Yin, Nanshu Wang +4

Recent work suggests that TCP throughput stability and predictability within a video viewing session can inform the design of better video bitrate adaptation algorithms. Despite a…