Active Sparse Mobile Crowd Sensing Based on Matrix Completion

Author:

Xie Kun1,Li Xiaocan1,Wang Xin2,Xie Gaogang3,Wen Jigang4,Zhang Dafang1

Affiliation:

1. Hunan University, Changsha, China

2. Stony Brook University, Stony Brook, NY, USA

3. Institute of Computing Technology & University of Chinese Academy of Sciences, Beijing, China

4. Institute of Computing Technology & Chinese Academy of Sciences, Beijing, China

Funder

U.S. NSF CNS

the China Scholarship Council Foundation

National Natural Science Foundation of China

the open project funding of CAS Key Lab of Network Data Science and Technology, Chinese Academy of Sciences

Hunan Provincial Innovation Foundation For Postgraduate

the open project funding of State Key Laboratory of Computer Architecture, Institute of Computing Technology, Chinese Academy of Sciences

Hunan Provincial Natural Science Foundation of China

U.S. NSF ECCS

Publisher

ACM

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1. Spatial-Temporal Data Inference With Graph Attention Neural Networks in Sparse Mobile Crowdsensing;IEEE Transactions on Network Science and Engineering;2024-09

2. UAV-Assisted Active Sparse Crowdsensing for Ground Signal Map Construction Based on 3-D Spatial–Temporal Correlation;IEEE Internet of Things Journal;2024-08-15

3. cuFastTucker: A Novel Sparse FastTucker Decomposition For HHLST on Multi-GPUs;ACM Transactions on Parallel Computing;2024-06-08

4. META-MCS: A Meta-knowledge Based Multiple Data Inference Framework;IEEE INFOCOM 2024 - IEEE Conference on Computer Communications;2024-05-20

5. Few-Shot Data Completion for New Tasks in Sparse Crowdsensing;IEEE INFOCOM 2024 - IEEE Conference on Computer Communications;2024-05-20

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