DeepComfort: Energy-efficient thermal comfort control in buildings via reinforcement learning

G Gao, J Li, Y Wen - IEEE Internet of Things Journal, 2020 - ieeexplore.ieee.org
Heating, ventilation, and air conditioning (HVAC) are extremely energy consuming,
accounting for 40% of total building energy consumption. It is crucial to design some energy …

[HTML][HTML] Video transcoding for adaptive bitrate streaming over edge-cloud continuum

G Gao, Y Wen - Digital Communications and Networks, 2021 - Elsevier
Video transcoding is to create multiple representations of a video for content adaptation. It is
deemed as a core technique in Adaptive BitRate (ABR) streaming. How to manage video …

{SENSEI}: Aligning video streaming quality with dynamic user sensitivity

X Zhang, Y Ou, S Sen, J Jiang - 18th USENIX Symposium on Networked …, 2021 - usenix.org
This paper aims to improve video streaming by leveraging a simple observation—users are
more sensitive to low qualityin certain parts of a video than in others. For instance, re …

Intersecting realms: a cross-disciplinary examination of VR quality of experience research

A Zheleva, L De Marez, D Talsma, K Bombeke - Virtual Reality, 2024 - Springer
The advent of virtual reality (VR) technology has necessitated a reevaluation of quality of
experience (QoE) models. While numerous recent efforts have been dedicated to creating …

When wireless video streaming meets AI: A deep learning approach

L Liu, H Hu, Y Luo, Y Wen - IEEE Wireless Communications, 2019 - ieeexplore.ieee.org
Wireless multimedia big data contains valuable information on users' behavior, content
characteristics and network dynamics, which can drive system design and optimization. The …

Towards data-efficient continuous learning for edge video analytics via smart caching

L Zhang, G Gao, H Zhang - Proceedings of the 20th ACM Conference on …, 2022 - dl.acm.org
Continuous learning (CL) has recently been adopted into edge video analytics, gaining
huge success in maintaining high accuracy without constantly retraining DNN models by …

Bandwidth-efficient edge video analytics via frame partitioning and quantization optimization

C Zhou, P Yang, Z Zhang, C Wang… - ICC 2023-IEEE …, 2023 - ieeexplore.ieee.org
The surging penetration of video cameras drives the rapid growth of video frames processed
on the mobile edge. However, the scarce bandwidth and limited edge computing resources …

User-Centric Algorithms: Sculpting the Future of Adaptive Video Streaming

K Khan - … Transactions on Electrical Engineering and Computer …, 2023 - iteecs.com
This paper explores the transformative potential of user-centric algorithms in shaping the
future landscape of adaptive video streaming. Traditional streaming methods, though …

Deep Reinforcement Learning‐Based Collaborative Video Caching and Transcoding in Clustered and Intelligent Edge B5G Networks

Z Wan, Y Li - Wireless Communications and Mobile Computing, 2020 - Wiley Online Library
In the next‐generation wireless communications system of Beyond 5G networks, video
streaming services have held a surprising proportion of the whole network traffic …

Successor Feature-Based Transfer Reinforcement Learning for Video Rate Adaptation with Heterogeneous QoE Preferences

K Tang, N Kan, Y Jiang, C Li, W Dai… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
In adaptive video streaming, the design of an adaptive bitrate (ABR) strategy is critical for the
quality-of-experience (QoE) perceived by users. Though current learning-based ABR …