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Guosheng Lin

Also published under: G. Lin

Publications

104

Citations

7,502

Publications by Year

20132025

Co-Authors:

Jun CenCesar CadenaJianfei CaiYujun CaiSijia Cai

Show All Co-Authors (192)

Guosheng Lin

Also published under: G. Lin

Affiliation

School of Computer Science and Engineering, Nanyang Technological University, Singapore

Publication Topics

Point Cloud,
Semantic Segmentation,
Camera Pose,
Pseudo Labels,
Self-supervised Learning,
Feature Maps,
Optical Flow,
Training Data,
Base Classes,
3D Reconstruction,
3D Shape,
Bounding Box

Biography

Guosheng Lin (Member, IEEE) received the PhD degree from The University of Adelaide in 2014. He is an associate professor with the College of Computing and Data Science, Nanyang Technological University, Singapore. His research interests are in computer vision and machine learning including scene understanding, 3D vision and generative learning.(Based on document published on 8 October 2024).

Publications

104

Citations

7,502

Publications by Year

20132025

Co-Authors:

Jun Cen
Cesar Cadena
Jianfei Cai
Yujun Cai
Sijia Cai

Show All Co-Authors (192)

Author's Published Works

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Showing 1-2 of 2 results

Conferences (2)

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Lin Chen(2)
Xue Jiang(2)
Zhimeng Zhong(1)
Zhentao Zou(1)
Pei Xiao(1)
Department of Electronic Engineering, Shanghai Jiao Tong University, Shanghai, China(1)
Communications Research Laboratory, Ilmenau University of Technology, Ilmenau, Germany(1)
School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University, Shanghai, China(1)
Wireless Network RAN Research Department, Huawei Technologies Co. LTD, Shanghai, China(1)
Institute for Communication Systems, University of Surrey, Guildford, U.K(1)
2021 55th Asilomar Conference on Signals, Systems, and Computers(1)
2023 31st European Signal Processing Conference (EUSIPCO)(1)
IEEE(2)
Helsinki, Finland(1)
Pacific Grove, CA, USA(1)
Channel Estimation(2)
Downlink Channel(2)
Frequency Division Duplex(2)
Massive Multiple-input Multiple-output(2)
Massive Multiple-input Multiple-output Systems(2)

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Downlink Channel Estimation in FDD Massive MIMO Systems Based on Multi-Resolution Discrimination Dictionary Learning

Zhentao Zou;Lin Chen;Xue Jiang;Pei Xiao

2023 31st European Signal Processing Conference (EUSIPCO)

Year: 2023 | Conference Paper |

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Compressive sensing (CS) techniques can be used to reduce the pilot overhead, and to improve the performance of channel estimation in massive multiple-input multiple-output (MIMO) systems. Most existing methods adopt the DFT matrix as a basis, which leads to direction mismatch and energy leakage problem in practice. However, the properties of geometry-based stochastic channel model (GSCM) are usua...Show More

Downlink Channel Estimation in FDD Massive MIMO Systems Based on Multi-Resolution Discrimination Dictionary Learning

Zhentao Zou;Lin Chen;Xue Jiang;Pei Xiao

2023 31st European Signal Processing Conference (EUSIPCO)

Year: 2023 | Conference Paper |

Tensor-Based Downlink Channel Reconstruction for FDD Massive MIMO

Lin Chen;Xue Jiang;Zhimeng Zhong;Xingzhao Liu;Martin Haardt

2021 55th Asilomar Conference on Signals, Systems, and Computers

Year: 2021 | Conference Paper |

Cited by: Papers (5)

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The acquisition of downlink channel state information (CSI) at the base station is a prerequisite for various applications in frequency division duplex (FDD) massive multipleinput multiple-output (MIMO) systems. To obtain accurate CSI, conventional approaches employ downlink training and feedback with a considerable overhead. In this paper, we exploit the partial reciprocity between FDD uplink and...Show More

Tensor-Based Downlink Channel Reconstruction for FDD Massive MIMO

Lin Chen;Xue Jiang;Zhimeng Zhong;Xingzhao Liu;Martin Haardt

2021 55th Asilomar Conference on Signals, Systems, and Computers

Year: 2021 | Conference Paper |

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