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Journal Articles
- 2024
[j5]Xiaowen Dai, Shaoyang Li, Libin Jin, Maozai Tian:
Quantile regression for partially linear varying coefficient spatial autoregressive models. Commun. Stat. Simul. Comput. 53(9): 4396-4411 (2024)- [j4]Yanli Qi
, Yiqing Zhou, Qing Cai, Haoyue Zhang, Yaxing Xu, Jinglin Shi, Shaoyang Li:
Architecture, Characteristics, and Resource Management of Integration of Sensing, Communications, and Computing in 6G. IEEE Netw. 38(2): 54-61 (2024) - 2022
- [j3]Wenqiang Yang, Yu Zheng, Shaoyang Li:
Digital twin of spacecraft assembly cell and case study. Int. J. Comput. Integr. Manuf. 35(3): 263-281 (2022) - 2021
- [j2]Wenqiang Yang, Yu Zheng, Shaoyang Li:
Application Status and Prospect of Digital Twin for On-Orbit Spacecraft. IEEE Access 9: 106489-106500 (2021) - 2016
- [j1]Yingcang Ma, Shaoyang Li, Yamei Liu:
The Rough Linear Approximate Space and Soft Linear Space. J. Intell. Syst. 25(2): 251-261 (2016)
Conference and Workshop Papers
- 2023
- [c14]Hongguang Li, Yaoqi Liu, Jinglin Shi, Yiqing Zhou, Ruilian Zhuo, Shaoyang Li:
Multimodal LSTM forecasting for LEO Satellite Communication Terminal access. VTC2023-Spring 2023: 1-5 - 2022
- [c13]Yaoqi Liu, Xiaogang Tang, Yiqing Zhou, Jinglin Shi, Manli Qian, Shaoyang Li:
Channel Reservation based Load Aware Handover for LEO Satellite Communications. VTC Spring 2022: 1-5 - 2017
- [c12]Juan Wang, Xiaoming Tao, Chunxiao Jiang, Shaoyang Li, Jianhua Lu:
A nonparametric Bayesian method of structural saliency dictionary learning for image compression. GlobalSIP 2017: 1200-1204 - [c11]Shaoyang Li, Xiaoming Tao, Jianhua Lu:
Variational inference for nonparametric subspace dictionary learning with hierarchical beta process. ICASSP 2017: 2691-2695 - [c10]Shaoyang Li, Xiaoming Tao, Jianhua Lu:
Variational Bayesian inference for nonparametric signal compressive sensing on structured manifolds. ICC 2017: 1-6 - [c9]Xiaoming Tao, Shaoyang Li, Zizhuo Zhang, Xijia Liu, Juan Wang, Jianhua Lu:
Prior-Information-Based Remote Sensing Image Compression with Bayesian Dictionary Learning. VTC Spring 2017: 1-6 - [c8]Zizhuo Zhang, Shaoyang Li, Xiaoming Tao, Linhao Dong, Jianhua Lu:
Online Bayesian Learning for Remote-Sensing Imagery Compression. VTC Spring 2017: 1-5 - 2016
- [c7]Baihong Lin, Xiaoming Tao, Shaoyang Li, Linhao Dong, Jianhua Lu:
Variational Bayesian image fusion based on combined sparse representations. ICASSP 2016: 1432-1436 - 2015
- [c6]Shaoyang Li, Xiaoming Tao, Linhao Dong, Jianhua Lu:
A nonparametric Bayesian approach to joint multiple dictionary learning with separate image sources. GlobalSIP 2015: 1155-1159 - [c5]Shaoyang Li, Xiaoming Tao, Jianhua Lu:
A Nonparametric Bayesian Approach to Image Compressive Sensing on Manifolds with Correlation Constraints. GLOBECOM 2015: 1-6 - [c4]Shaoyang Li, Xiaoming Tao, Yang Li, Jianhua Lu:
Large-scale structured sparse image reconstruction with correlated multiple-measurement vectors using Bayesian learning. PCS 2015: 272-276 - 2014
- [c3]Xiaoming Tao, Linhao Dong, Shaoyang Li, Yang Li, Ning Ge, Jianhua Lu:
A cognitive perspective for information processing in bandwidth-limited wireless communications. ICCI*CC 2014: 289-295 - [c2]Shaoyang Li, Xiaoming Tao, Jianhua Lu:
A low-complexity Bayesian approach to large-scale sparse image reconstruction with structured constraints. GLOBECOM 2014: 3115-3120 - [c1]Shaoyang Li, Xiaoming Tao, Jianhua Lu:
A Variational Bayesian EM Approach to Structured Sparse Signal Reconstruction. VTC Fall 2014: 1-5
Coauthor Index
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last updated on 2024-11-08 21:28 CET by the dblp team
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