Yu Liang

Orcid: 0000-0002-9251-4337

Affiliations:
  • Nanjing University, State Key Laboratory for Novel Software Technology, China


According to our database1, Yu Liang authored at least 21 papers between 2016 and 2024.

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Timeline

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Bibliography

2024
Crowdsourcing Upon Learning: Energy-Aware Dispatch With Guarantee for Video Analytics.
IEEE Trans. Mob. Comput., April, 2024

ViChaser: Chase Your Viewpoint for Live Video Streaming With Block-Oriented Super-Resolution.
IEEE/ACM Trans. Netw., February, 2024

2023
Mobility-aware multi-user service placement and resource allocation in edge computing.
Comput. Networks, November, 2023

NISe: Non-Invasive Secure Framework for Multi-Access Edge Computing.
Int. J. Softw. Eng. Knowl. Eng., September, 2023

ProScale: Proactive Autoscaling for Microservice With Time-Varying Workload at the Edge.
IEEE Trans. Parallel Distributed Syst., April, 2023

Towards perpetual sensor networks via Overlapped Mobile Charging.
Comput. Commun., April, 2023

Dependent Task Offloading and Service Caching with State Management for Mobile Edge Computing.
Proceedings of the IEEE International Conference on Communications, 2023

2022
Joint optimization of collaborative interactive charging and charging lane placement for cyclic electric vehicles.
Comput. Commun., 2022

2021
Interaction-Oriented Service Entity Placement in Edge Computing.
IEEE Trans. Mob. Comput., 2021

2020
Provably Efficient Resource Allocation for Edge Service Entities Using Hermes.
IEEE/ACM Trans. Netw., 2020

Efficient Service Entity Chain Placement in Mobile Edge Computing.
Proceedings of the 16th International Conference on Mobility, Sensing and Networking, 2020

Overlapped Mobile Charging for Sensor Networks.
Proceedings of the 40th IEEE International Conference on Distributed Computing Systems, 2020

A Real-Time Pedestrian Counting System Based on RGB-D.
Proceedings of the 12th International Conference on Advanced Computational Intelligence, 2020

2019
A Utility-Based Optimization Framework for Edge Service Entity Caching.
IEEE Trans. Parallel Distributed Syst., 2019

Modeling and deploying hybrid tenant requests with shared networklets.
Comput. Networks, 2019

2017
Embedding parallelizable virtual networks.
Comput. Commun., 2017

Topology Learning Embedding: A Fast and Incremental Method for Manifold Learning.
Proceedings of the Neural Information Processing - 24th International Conference, 2017

An Incremental Deep Learning Network for On-line Unsupervised Feature Extraction.
Proceedings of the Neural Information Processing - 24th International Conference, 2017

Networklet: Concept and Deployment.
Proceedings of the 37th IEEE International Conference on Distributed Computing Systems, 2017

Modeling and Deploying Networklet.
Proceedings of the 2017 IEEE Global Communications Conference, 2017

2016
A Fast Manifold Learning Algorithm for Dimensionality Reduction.
Proceedings of the 28th IEEE International Conference on Tools with Artificial Intelligence, 2016


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