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ORCIDYu Liang 0001
Person information
- affiliation: Nanjing University, State Key Laboratory for Novel Software Technology, China
Other persons with the same name
- Yu Liang — disambiguation page
- Yu Liang 0002
![[0000-0001-5194-1271]](https://devdomain4test.ir/img/orcid-mark.12x12.png "0000-0001-5194-1271")
— Pennsylvania State University, University Park, PA, USA - Yu Liang 0003 — Beihang University, School of Computer Science and Engineering, Beijing, China
- Yu Liang 0004 — Department of Computer Science, City University of Hong Kong, Hong Kong
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2020 – today
- 2026
[j18]Yu Liang, Jidong Ge, Jie Wu, Sheng Zhang, Shiwu Wen, Bin Luo:
Reload: Deep reinforcement learning-based workload distribution for collaborative edges. J. Parallel Distributed Comput. 209: 105191 (2026)- 2025
- [j17]Yu Liang, Sheng Zhang, Jie Wu:
Cost-Efficient Delay-Bounded Dependent Task Offloading With Service Caching at Edges. IEEE Trans. Computers 74(11): 3568-3581 (2025) - [j16]Yu Liang, Sheng Zhang, Jie Wu:
Scrava: Super Resolution-Based Bandwidth-Efficient Cross-Camera Video Analytics. IEEE Trans. Mob. Comput. 24(1): 293-305 (2025) - [j15]Andong Zhu, Sheng Zhang, Lingkun Meng, Xiaohang Shi, Xiangyu Li, Dongxu Wang, Ke Cheng, Hesheng Sun, Sanglu Lu, Jie Wu, Yu Liang:
End-to-End Coordinated Spatio-Temporal Redundancy Elimination for Fast Video Analytics. IEEE Trans. Mob. Comput. 24(12): 13322-13338 (2025) - [c16]Yu Liang, Sheng Zhang, Jie Wu:
Online Optimization of Offloading Video Analytics Tasks to Multiple Edges for Accuracy Maximization. ICASSP 2025: 1-5 - [c15]Yu Liang, Sheng Zhang, Jie Wu:
Volatile MAB-based Configuration Selection for Offloading Video Analytics Tasks to Edges. ICASSP 2025: 1-5 - [c14]Xiaokun Wang, Yuting Yan, Sheng Zhang, Andong Zhu, Ning Chen, Yu Chen, Zhuzhong Qian, Sanglu Lu, Yu Liang:
Decode-What-Matters: Frame-Level Parallel Generative Decoding to Accelerate Large-Scale Video Analytics. ACM Multimedia 2025: 11805-11814 - [c13]Andong Zhu, Sheng Zhang, Xiaohang Shi, Hesheng Sun, Yu Liang, Zhuzhong Qian, Han Zheng, Xiaokun Wang, Ning Jiang:
VidIQ: Inference-Aware Neural Codecs for Quality-Enhanced, Real-Time Video Analytics. ACM Multimedia 2025: 12025-12034 - 2024
- [j14]Yu Liang, Sheng Zhang, Jie Wu:
SplitStream: Distributed and workload-adaptive video analytics at the edge. J. Netw. Comput. Appl. 225: 103866 (2024) - [j13]Yu Chen, Sheng Zhang, Yibo Jin, Zhuzhong Qian, Mingjun Xiao, Wenzhong Li, Yu Liang, Sanglu Lu:
Crowdsourcing Upon Learning: Energy-Aware Dispatch With Guarantee for Video Analytics. IEEE Trans. Mob. Comput. 23(4): 3138-3155 (2024) - [j12]Xiaohang Shi, Sheng Zhang, Jie Wu, Ning Chen, Ke Cheng, Yu Liang, Sanglu Lu:
AdaPyramid: Adaptive Pyramid for Accelerating High-Resolution Object Detection on Edge Devices. IEEE Trans. Mob. Comput. 23(8): 8208-8224 (2024) - [j11]Ning Chen, Sheng Zhang, Zhi Ma, Yu Chen, Yibo Jin, Jie Wu, Zhuzhong Qian, Yu Liang, Sanglu Lu:
ViChaser: Chase Your Viewpoint for Live Video Streaming With Block-Oriented Super-Resolution. IEEE/ACM Trans. Netw. 32(1): 445-459 (2024) - [c12]Yu Chen, Sheng Zhang, Ziying Zhou, Xiaokun Wang, Yu Liang, Ning Chen, Yuting Yan, Mingjun Xiao, Jie Wu, Zhuzhong Qian, Harry Xu:
MACRO: Incentivizing Multi-Leader Game-Based Pareto-Efficient Crowdsourcing for Video Analytics. ICDE 2024: 289-302 - [c11]Yuting Yan, Sheng Zhang, Xiaokun Wang, Ning Chen, Yu Chen, Yu Liang, Mingjun Xiao, Sanglu Lu:
VisFlow: Adaptive Content-Aware Video Analytics on Collaborative Cameras. INFOCOM 2024: 2019-2028 - [c10]Ning Chen, Sheng Zhang, Yu Liang, Jie Wu, Yu Chen, Yuting Yan, Zhuzhong Qian, Sanglu Lu:
TileSR: Accelerate On-Device Super-Resolution with Parallel Offloading in Tile Granularity. INFOCOM 2024: 2538-2547 - 2023
- [j10]Yu Liang, Sheng Zhang:
Mobility-aware multi-user service placement and resource allocation in edge computing. Comput. Networks 236: 110020 (2023) - [j9]Yu Liang, Yang Lu, Mingjun Shi:
Towards perpetual sensor networks via Overlapped Mobile Charging. Comput. Commun. 204: 1-10 (2023) - [j8]Xuguo Wang, Ligeng Chen, Yu Liang, Hao Huang:
NISe: Non-Invasive Secure Framework for Multi-Access Edge Computing. Int. J. Softw. Eng. Knowl. Eng. 33(9): 1467-1488 (2023) - [j7]Ke Cheng, Sheng Zhang, Chenghong Tu, Xiaohang Shi, Zhaoheng Yin, Sanglu Lu, Yu Liang, Qing Gu:
ProScale: Proactive Autoscaling for Microservice With Time-Varying Workload at the Edge. IEEE Trans. Parallel Distributed Syst. 34(4): 1294-1312 (2023) - [c9]Zhi Ma, Sheng Zhang, Ning Chen, Zhuzhong Qian, Qing Gu, Yu Liang, Sanglu Lu:
Dependent Task Offloading and Service Caching with State Management for Mobile Edge Computing. ICC 2023: 6249-6254 - 2022
- [j6]Yu Liang, Sheng Zhang, Jidong Ge:
Joint optimization of collaborative interactive charging and charging lane placement for cyclic electric vehicles. Comput. Commun. 190: 166-177 (2022) - 2021
- [j5]Yu Liang, Jidong Ge, Sheng Zhang, Jie Wu, Lingwei Pan, Tengfei Zhang, Bin Luo:
Interaction-Oriented Service Entity Placement in Edge Computing. IEEE Trans. Mob. Comput. 20(3): 1064-1075 (2021) - 2020
- [j4]Sheng Zhang, Yu Liang, Jidong Ge, Mingjun Xiao, Jie Wu:
Provably Efficient Resource Allocation for Edge Service Entities Using Hermes. IEEE/ACM Trans. Netw. 28(4): 1684-1697 (2020) - [c8]Yang Yao, Xu Zhang, Yu Liang, Xin Zhang, Furao Shen, Jian Zhao:
A Real-Time Pedestrian Counting System Based on RGB-D. ICACI 2020: 110-117 - [c7]Sheng Zhang, Yu Liang, Zhuzhong Qian, Mingjun Xiao, Jidong Ge, Jie Wu, Sanglu Lu:
Overlapped Mobile Charging for Sensor Networks. ICDCS 2020: 1213-1214 - [c6]Yu Liang, Jidong Ge, Sheng Zhang, Changan Niu, Wei Song, Bin Luo:
Efficient Service Entity Chain Placement in Mobile Edge Computing. MSN 2020: 182-189
2010 – 2019
- 2019
- [j3]Yu Liang, Jidong Ge, Sheng Zhang, Bin Luo:
Modeling and deploying hybrid tenant requests with shared networklets. Comput. Networks 153: 63-72 (2019) - [j2]Yu Liang, Jidong Ge, Sheng Zhang, Jie Wu, Ze Tang, Bin Luo:
A Utility-Based Optimization Framework for Edge Service Entity Caching. IEEE Trans. Parallel Distributed Syst. 30(11): 2384-2395 (2019) - 2017
- [j1]Yu Liang, Sheng Zhang:
Embedding parallelizable virtual networks. Comput. Commun. 102: 47-57 (2017) - [c5]Sheng Zhang, Yu Liang, Zhuzhong Qian, Mingjun Xiao, Jie Wu, Fanyu Kong, Sanglu Lu:
Modeling and Deploying Networklet. GLOBECOM 2017: 1-6 - [c4]Sheng Zhang, Yu Liang, Zhuzhong Qian, Mingjun Xiao, Jie Wu, Fanyu Kong, Sanglu Lu:
Networklet: Concept and Deployment. ICDCS 2017: 2624-2625 - [c3]Tao Zhu, Furao Shen, Jinxi Zhao, Yu Liang:
Topology Learning Embedding: A Fast and Incremental Method for Manifold Learning. ICONIP (1) 2017: 43-52 - [c2]Yu Liang, Yi Yang, Furao Shen, Jinxi Zhao, Tao Zhu:
An Incremental Deep Learning Network for On-line Unsupervised Feature Extraction. ICONIP (2) 2017: 383-392 - 2016
- [c1]Yu Liang, Furao Shen, Jinxi Zhao, Yi Yang:
A Fast Manifold Learning Algorithm for Dimensionality Reduction. ICTAI 2016: 985-988
Coauthor Index
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last updated on 2026-08-09 23:23 CEST by the dblp team
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