activity
20152021
most citedComyco: Quality-Aware Adaptive Video Streaming via Imitation Learning

113 citations · 425 across the 25 of their papers we have counts for

collaborators

25 papers

cs.MM2021

Multimedia Edge Computing

Zhi Wang, Wenwu Zhu, Lifeng Sun +6

In this paper, we investigate the recent studies on multimedia edge computing, from sensing not only traditional visual/audio data but also individuals' geographical preference and…

cs.MM2020★ 14 cited

Self-play Reinforcement Learning for Video Transmission

Tianchi Huang, Rui-Xiao Zhang, Lifeng Sun

Video transmission services adopt adaptive algorithms to ensure users' demands. Existing techniques are often optimized and evaluated by a function that linearly combines several w…

cs.LG2020★ 69 cited

Continual Local Training for Better Initialization of Federated Models

Xin Yao, Lifeng Sun

Federated learning (FL) refers to the learning paradigm that trains machine learning models directly in the decentralized systems consisting of smart edge devices without transmitt…

cs.LG2019★ 27 cited

Adversarial Feature Alignment: Avoid Catastrophic Forgetting in Incremental Task Lifelong Learning

Xin Yao, Tianchi Huang, Chenglei Wu +2

Human beings are able to master a variety of knowledge and skills with ongoing learning. By contrast, dramatic performance degradation is observed when new tasks are added to an ex…

cs.LG2019★ 50 cited

Federated Learning with Unbiased Gradient Aggregation and Controllable Meta Updating

Xin Yao, Tianchi Huang, Rui-Xiao Zhang +2

Federated learning (FL) aims to train machine learning models in the decentralized system consisting of an enormous amount of smart edge devices. Federated averaging (FedAvg), the…

cs.LG2019★ 31 cited

Federated Learning with Additional Mechanisms on Clients to Reduce Communication Costs

Xin Yao, Tianchi Huang, Chenglei Wu +2

Federated learning (FL) enables on-device training over distributed networks consisting of a massive amount of modern smart devices, such as smartphones and IoT (Internet of Things…

cs.MM2019★ 113 cited

Comyco: Quality-Aware Adaptive Video Streaming via Imitation Learning

Tianchi Huang, Chao Zhou, Rui-Xiao Zhang +3

Learning-based Adaptive Bit Rate~(ABR) method, aiming to learn outstanding strategies without any presumptions, has become one of the research hotspots for adaptive streaming. Howe…

cs.MM2019★ 1 cited

Reactive Video Caching via long-short-term fusion approach

Rui-Xiao Zhang, Tianchi Huang, Chenglei Wu +1

Video caching has been a basic network functionality in today's network architectures. Although the abundance of caching replacement algorithms has been proposed recently, these me…

cs.MM2018

Tiyuntsong: A Self-Play Reinforcement Learning Approach for ABR Video Streaming

Tianchi Huang, Xin Yao, Chenglei Wu +3

Existing reinforcement learning~(RL)-based adaptive bitrate~(ABR) approaches outperform the previous fixed control rules based methods by improving the Quality of Experience~(QoE)…

cs.NI2018

Multi-User Cooperative Mobile Video Streaming: Performance Analysis and Online Mechanism Design

Lin Gao, Ming Tang, Haitian Pang +2

Adaptive bitrate streaming enables video users to adapt their playing bitrates to the real-time network conditions, hence achieving the desirable quality-of-experience (QoE). In a…

cs.MM2018★ 1 cited

Performance Bound Analysis for Crowdsourced Mobile Video Streaming

Lin Gao, Ming Tang, Haitian Pang +2

Adaptive bitrate (ABR) streaming enables video users to adapt the playing bitrate to the real-time network conditions to achieve the desirable quality of experience (QoE). In this…

cs.MM2018★ 6 cited

Delay-Constrained Rate Control for Real-Time Video Streaming with Bounded Neural Network

Tianchi Huang, Rui-Xiao Zhang, Chao Zhou +1

Rate control is widely adopted during video streaming to provide both high video qualities and low latency under various network conditions. However, despite that many work have be…

cs.MM2018★ 95 cited

QARC: Video Quality Aware Rate Control for Real-Time Video Streaming via Deep Reinforcement Learning

Tianchi Huang, Rui-Xiao Zhang, Chao Zhou +1

Due to the fluctuation of throughput under various network conditions, how to choose a proper bitrate adaptively for real-time video streaming has become an upcoming and interestin…

cs.NI2017★ 5 cited

When Data Sponsoring Meets Edge Caching: A Game-Theoretic Analysis

Haitian Pang, Lin Gao, Qinghua Ding +1

Data sponsoring is a widely-used incentive method in today's cellular networks, where video content providers (CPs) cover part or all of the cellular data cost for mobile users so…

cs.MM2017★ 4 cited

Towards Wi-Fi AP-Assisted Content Prefetching for On-Demand TV Series: A Reinforcement Learning Approach

Wen Hu, Yichao Jin, Yonggang Wen +2

The emergence of smart Wi-Fi APs (Access Point), which are equipped with huge storage space, opens a new research area on how to utilize these resources at the edge network to impr…

cs.NI2017

Multi-Dimensional Auction Mechanisms for Crowdsourced Mobile Video Streaming

Ming Tang, Haitian Pang, Shou Wang +3

Crowdsourced mobile video streaming enables nearby mobile video users to aggregate network resources to improve their video streaming performances. However, users are often selfish…

cs.NI2016★ 2 cited

Joint Optimization of Data Sponsoring and Edge Caching for Mobile Video Delivery

Haitian Pang, Lin Gao, Lifeng Sun

In this work, we study the joint optimization of edge caching and data sponsoring for a video content provider (CP), aiming at reducing the content delivery cost and increasing the…

cs.MM2016

Dynamic Flow Scheduling Strategy in Multihoming Video CDNs

Ming Ma, Zhi Wang, Yankai Zhang +1

Multihoming for a video Content Delivery Network (CDN) allows edge peering servers to deliver video chunks through different Internet Service Providers (ISPs), to achieve an improv…

cs.MM2016★ 2 cited

A Measurement Study of TCP Performance for Chunk Delivery in DASH

Wen Hu, Zhi Wang, Lifeng Sun

Dynamic Adaptive Streaming over HTTP (DASH) has emerged as an increasingly popular paradigm for video streaming [13], in which a video is segmented into many chunks delivered to us…

cs.MM2016

Towards Network-Failure-Tolerant Content Delivery for Web Content

Wen Hu, Zhi Wang, Lifeng Sun

Popularly used to distribute a variety of multimedia content items in today Internet, HTTP-based web content delivery still suffers from various content delivery failures. Hindered…

cs.MM2016

Social- and Mobility-Aware Device-to-Device Content Delivery

Zhi Wang, Lifeng Sun, Miao Zhang +3

Mobile online social network services have seen a rapid increase, in which the huge amount of user-generated social media contents propagating between users via social connections…

cs.MM2016★ 2 cited

Understanding Content Placement Strategies in Smartrouter-based Peer CDN for Video Streaming

Ming Ma, Zhi Wang, Ke Su +1

Recent years have witnessed a new video delivery paradigm: smartrouter-based peer video content delivery network, which is enabled by smartrouters deployed at users' homes. ChinaCa…

cs.MM2016★ 2 cited

Understanding the Smartrouter-based Peer CDN for Video Streaming

Ming Ma, Zhi Wang, Ke Su +1

Recent years have witnessed a new video delivery paradigm: smartrouter-based video delivery network, which is enabled by smartrouters deployed at users' homes, together with the co…

cs.IR2015★ 1 cited

MAP: Microblogging Assisted Profiling of TV Shows

Xiahong Lin, Zhi Wang, Lifeng Sun

Online microblogging services that have been increasingly used by people to share and exchange information, have emerged as a promising way to profiling multimedia contents, in a s…