Yu Liang

According to our database, Yu Liang authored at least 26 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

AdaPyramid: Adaptive Pyramid for Accelerating High-Resolution Object Detection on Edge Devices.

Xiaohang Shi, Sheng Zhang, Jie Wu, Ning Chen, Ke Cheng, Yu Liang, Sanglu Lu

IEEE Trans. Mob. Comput., August, 2024

Crowdsourcing Upon Learning: Energy-Aware Dispatch With Guarantee for Video Analytics.

Yu Chen, Sheng Zhang, Yibo Jin, Zhuzhong Qian, Mingjun Xiao, Wenzhong Li, Yu Liang, Sanglu Lu

IEEE Trans. Mob. Comput., April, 2024

ViChaser: Chase Your Viewpoint for Live Video Streaming With Block-Oriented Super-Resolution.

Ning Chen, Sheng Zhang, Zhi Ma, Yu Chen, Yibo Jin, Jie Wu, Zhuzhong Qian, Yu Liang, Sanglu Lu

IEEE/ACM Trans. Netw., February, 2024

SplitStream: Distributed and workload-adaptive video analytics at the edge.

Yu Liang, Sheng Zhang, Jie Wu

J. Netw. Comput. Appl., 2024

VisFlow: Adaptive Content-Aware Video Analytics on Collaborative Cameras.

Yuting Yan, Sheng Zhang, Xiaokun Wang, Ning Chen, Yu Chen, Yu Liang, Mingjun Xiao, Sanglu Lu

Proceedings of the IEEE INFOCOM 2024, 2024

TileSR: Accelerate On-Device Super-Resolution with Parallel Offloading in Tile Granularity.

Ning Chen, Sheng Zhang, Yu Liang, Jie Wu, Yu Chen, Yuting Yan, Zhuzhong Qian, Sanglu Lu

Proceedings of the IEEE INFOCOM 2024, 2024

MACRO: Incentivizing Multi-Leader Game-Based Pareto-Efficient Crowdsourcing for Video Analytics.

Yu Chen, Sheng Zhang, Ziying Zhou, Xiaokun Wang, Yu Liang, Ning Chen, Yuting Yan, Mingjun Xiao, Jie Wu, Zhuzhong Qian, Harry Xu

Proceedings of the 40th IEEE International Conference on Data Engineering, 2024

2023

Mobility-aware multi-user service placement and resource allocation in edge computing.

Yu Liang, Sheng Zhang

Comput. Networks, November, 2023

NISe: Non-Invasive Secure Framework for Multi-Access Edge Computing.

Xuguo Wang, Ligeng Chen, Yu Liang, Hao Huang

Int. J. Softw. Eng. Knowl. Eng., September, 2023

ProScale: Proactive Autoscaling for Microservice With Time-Varying Workload at the Edge.

Ke Cheng, Sheng Zhang, Chenghong Tu, Xiaohang Shi, Zhaoheng Yin, Sanglu Lu, Yu Liang, Qing Gu

IEEE Trans. Parallel Distributed Syst., April, 2023

Towards perpetual sensor networks via Overlapped Mobile Charging.

Yu Liang, Yang Lu, Mingjun Shi

Comput. Commun., April, 2023

Dependent Task Offloading and Service Caching with State Management for Mobile Edge Computing.

Zhi Ma, Sheng Zhang, Ning Chen, Zhuzhong Qian, Qing Gu, Yu Liang, Sanglu Lu

Proceedings of the IEEE International Conference on Communications, 2023

2022

Joint optimization of collaborative interactive charging and charging lane placement for cyclic electric vehicles.

Yu Liang, Sheng Zhang, Jidong Ge

Comput. Commun., 2022

2021

Interaction-Oriented Service Entity Placement in Edge Computing.

Yu Liang, Jidong Ge, Sheng Zhang, Jie Wu, Lingwei Pan, Tengfei Zhang, Bin Luo

IEEE Trans. Mob. Comput., 2021

2020

Provably Efficient Resource Allocation for Edge Service Entities Using Hermes.

Sheng Zhang, Yu Liang, Jidong Ge, Mingjun Xiao, Jie Wu

IEEE/ACM Trans. Netw., 2020

Efficient Service Entity Chain Placement in Mobile Edge Computing.

Yu Liang, Jidong Ge, Sheng Zhang, Changan Niu, Wei Song, Bin Luo

Proceedings of the 16th International Conference on Mobility, Sensing and Networking, 2020

Overlapped Mobile Charging for Sensor Networks.

Sheng Zhang, Yu Liang, Zhuzhong Qian, Mingjun Xiao, Jidong Ge, Jie Wu, Sanglu Lu

Proceedings of the 40th IEEE International Conference on Distributed Computing Systems, 2020

A Real-Time Pedestrian Counting System Based on RGB-D.

Yang Yao, Xu Zhang, Yu Liang, Xin Zhang, Furao Shen, Jian Zhao

Proceedings of the 12th International Conference on Advanced Computational Intelligence, 2020

2019

A Utility-Based Optimization Framework for Edge Service Entity Caching.

Yu Liang, Jidong Ge, Sheng Zhang, Jie Wu, Ze Tang, Bin Luo

IEEE Trans. Parallel Distributed Syst., 2019

Modeling and deploying hybrid tenant requests with shared networklets.

Yu Liang, Jidong Ge, Sheng Zhang, Bin Luo

Comput. Networks, 2019

2017

Embedding parallelizable virtual networks.

Yu Liang, Sheng Zhang

Comput. Commun., 2017

Topology Learning Embedding: A Fast and Incremental Method for Manifold Learning.

Tao Zhu, Furao Shen, Jinxi Zhao, Yu Liang

Proceedings of the Neural Information Processing - 24th International Conference, 2017

An Incremental Deep Learning Network for On-line Unsupervised Feature Extraction.

Yu Liang, Yi Yang, Furao Shen, Jinxi Zhao, Tao Zhu

Proceedings of the Neural Information Processing - 24th International Conference, 2017

Networklet: Concept and Deployment.

Sheng Zhang, Yu Liang, Zhuzhong Qian, Mingjun Xiao, Jie Wu, Fanyu Kong, Sanglu Lu

Proceedings of the 37th IEEE International Conference on Distributed Computing Systems, 2017

Modeling and Deploying Networklet.

Sheng Zhang, Yu Liang, Zhuzhong Qian, Mingjun Xiao, Jie Wu, Fanyu Kong, Sanglu Lu

Proceedings of the 2017 IEEE Global Communications Conference, 2017

2016

A Fast Manifold Learning Algorithm for Dimensionality Reduction.

Yu Liang, Furao Shen, Jinxi Zhao, Yi Yang

Proceedings of the 28th IEEE International Conference on Tools with Artificial Intelligence, 2016