70 citations · 110 across the 11 of their papers we have counts for
11 papers
EdgeVision: Towards Collaborative Video Analytics on Distributed Edges for Performance Maximization
Guanyu Gao, Yuqi Dong, Ran Wang +1
Deep Neural Network (DNN)-based video analytics significantly improves recognition accuracy in computer vision applications. Deploying DNN models at edge nodes, closer to end users…
Spatial-Temporal Federated Learning for Lifelong Person Re-identification on Distributed Edges
Lei Zhang, Guanyu Gao, Huaizheng Zhang
Data drift is a thorny challenge when deploying person re-identification (ReID) models into real-world devices, where the data distribution is significantly different from that of…
Towards Cost-Optimal Policies for DAGs to Utilize IaaS Clouds with Online Learning
Xiaohu Wu, Han Yu, Giuliano Casale +1
Premier cloud service providers (CSPs) offer two types of purchase options, namely on-demand and spot instances, with time-varying features in availability and price. Users like st…
A Serverless Cloud-Fog Platform for DNN-Based Video Analytics with Incremental Learning
Huaizheng Zhang, Meng Shen, Yizheng Huang +4
DNN-based video analytics have empowered many new applications (e.g., automated retail). Meanwhile, the proliferation of fog devices provides developers with more design options to…
Distributed Energy Trading and Scheduling among Microgrids via Multiagent Reinforcement Learning
Guanyu Gao, Yonggang Wen, Xiaohu Wu +1
The development of renewable energy generation empowers microgrids to generate electricity to supply itself and to trade the surplus on energy markets. To minimize the overall cost…
Baconian: A Unified Open-source Framework for Model-Based Reinforcement Learning
Linsen Dong, Guanyu Gao, Xinyi Zhang +2
Model-Based Reinforcement Learning (MBRL) is one category of Reinforcement Learning (RL) algorithms which can improve sampling efficiency by modeling and approximating system dynam…
A Framework for Allocating Server Time to Spot and On-demand Services in Cloud Computing
Xiaohu Wu, Francesco De Pellegrini, Guanyu Gao +1
Cloud computing delivers value to users by facilitating their access to computing capacity in periods when their need arises. An approach is to provide both on-demand and spot serv…
Energy-Efficient Thermal Comfort Control in Smart Buildings via Deep Reinforcement Learning
Guanyu Gao, Jie Li, Yonggang Wen
Heating, Ventilation, and Air Conditioning (HVAC) is extremely energy-consuming, accounting for 40% of total building energy consumption. Therefore, it is crucial to design some en…
Content-Aware Personalised Rate Adaptation for Adaptive Streaming via Deep Video Analysis
Guanyu Gao, Linsen Dong, Huaizheng Zhang +2
Adaptive bitrate (ABR) streaming is the de facto solution for achieving smooth viewing experiences under unstable network conditions. However, most of the existing rate adaptation…
DeepQoE: A unified Framework for Learning to Predict Video QoE
Huaizheng Zhang, Han Hu, Guanyu Gao +2
Motivated by the prowess of deep learning (DL) based techniques in prediction, generalization, and representation learning, we develop a novel framework called DeepQoE to predict v…
Resource Provisioning and Profit Maximization for Transcoding in Information Centric Networking
Guanyu Gao, Yonggang Wen, Cedric Westphal
Adaptive bitrate streaming (ABR) has been widely adopted to support video streaming services over heterogeneous devices and varying network conditions. With ABR, each video content…