Gene Cheung

Gene Cheung

York University

H-index: 43

North America-Canada

About Gene Cheung

Gene Cheung, With an exceptional h-index of 43 and a recent h-index of 27 (since 2020), a distinguished researcher at York University, specializes in the field of 3D imaging, graph signal processing.

His recent articles reflect a diverse array of research interests and contributions to the field:

Comparative Study of Balanced Signed Graph Learning for Random Graphs

Volumetric 3d Point Cloud Attribute Compression: Learned Polynomial Bilateral Filter for Prediction

Manifold graph signal restoration using gradient graph Laplacian regularizer

Soft Image Segmentation Using Gradient Graph Laplacian Regularizer

Signal Processing in the Retina: Interpretable Graph Classifier to Predict Ganglion Cell Responses

Mixed Graph Signal Analysis of Joint Image Denoising/Interpolation

Joint Signal Interpolation/Time-Varying Graph Estimation Via Smoothness and Low-Rank Priors

Complex Graph Laplacian Regularizer for Inferencing Grid States

Gene Cheung Information

University

Position

Associate Professor Department of EECS

Citations(all)

7297

Citations(since 2020)

3110

Cited By

5305

hIndex(all)

43

hIndex(since 2020)

27

i10Index(all)

165

i10Index(since 2020)

73

Email

University Profile Page

York University

Google Scholar

View Google Scholar Profile

Gene Cheung Skills & Research Interests

3D imaging

graph signal processing

Top articles of Gene Cheung

Title

Journal

Author(s)

Publication Date

Comparative Study of Balanced Signed Graph Learning for Random Graphs

IEICE Proceedings Series

Haruki Yokota

Hiroshi Higashi

Yuichi Tanaka

Gene Cheung

2024/3/5

Volumetric 3d Point Cloud Attribute Compression: Learned Polynomial Bilateral Filter for Prediction

Tam Thuc Do

Philip A Chou

Gene Cheung

2024/4/14

Manifold graph signal restoration using gradient graph Laplacian regularizer

IEEE Transactions on Signal Processing

Fei Chen

Gene Cheung

Xue Zhang

2024/1/4

Soft Image Segmentation Using Gradient Graph Laplacian Regularizer

Fei Chen

Gene Cheung

Xue Zhang

2024/4/14

Signal Processing in the Retina: Interpretable Graph Classifier to Predict Ganglion Cell Responses

IEEE Open Journal of Signal Processing

Yasaman Parhizkar

Gene Cheung

Andrew W Eckford

2024/1/1

Mixed Graph Signal Analysis of Joint Image Denoising/Interpolation

Niruhan Viswarupan

Gene Cheung

Fengbo Lan

Michael S Brown

2024/4/14

Joint Signal Interpolation/Time-Varying Graph Estimation Via Smoothness and Low-Rank Priors

Saghar Bagheri

Gene Cheung

Tim Eadie

Antonio Ortega

2024/4/14

Complex Graph Laplacian Regularizer for Inferencing Grid States

Chinthaka Dinesh

Junfei Wang

Gene Cheung

Pirathayini Srikantha

2023/10/31

3d point cloud enhancement with multiple measurements

2023/2/23

Signed Graph Balancing with Graph Cut

Haruki Yokota

Junya Hara

Yuichi Tanaka

Gene Cheung

2023/9/4

Learned Nonlinear Predictor for Critically Sampled 3D Point Cloud Attribute Compression

arXiv preprint arXiv:2311.13539

Tam Thuc Do

Philip A Chou

Gene Cheung

2023/11/22

Eigen-Decomposition-Free Directed Graph Sampling via Gershgorin Disc Alignment

Yuejiang Li

H Vicky Zhao

Gene Cheung

2023/6/4

Retinex-based Image Denoising/Contrast Enhancement Using Gradient Graph Laplacian Regularizer

Yeganeh Gharedaghi

Gene Cheung

Xianming Liu

2023/10/8

Fast MSE-based Sampling of Bandlimited Graph Signals via Low-pass Impulse Responses

IEEE Transactions on Signal Processing

Fen Wang

Gene Cheung

Minxiang Ye

Taihao Li

Yi-Tian Feng

2023/8/25

On Designing A 3d Imaging Summer Project For Ontario’s High School Students During Covid-19 Pandemic

Fengbo Lan

Gene Cheung

Prabhkirat Arora

Deinabo Richard-Koko

Lisa Cole

2023/6/4

Sparse graph learning with spectrum prior for deep graph convolutional networks

Jin Zeng

Yang Liu

Gene Cheung

Wei Hu

2023/6/4

Encoding method, encoding apparatus, and program

2023/9/12

Modeling Viral Information Spreading via Directed Acyclic Graph Diffusion

Chinthaka Dinesh

Gene Cheung

Fei Chen

Yuejiang Li

H Vicky Zhao

2023/12/4

Graph Sparsification for GCN Towards Optimal Crop Yield Predictions

Saghar Bagheri

Gene Cheung

Tim Eadie

2023/7/16

Volumetric attribute compression for 3d point clouds using feedforward network with geometric attention

Tam Thuc Do

Philip A Chou

Gene Cheung

2023/6/4

See List of Professors in Gene Cheung University(York University)

Co-Authors

H-index: 71
Antonio Ortega

Antonio Ortega

University of Southern California

H-index: 66
Pascal Frossard

Pascal Frossard

École Polytechnique Fédérale de Lausanne

H-index: 57
Patrick Le Callet

Patrick Le Callet

Université de Nantes

H-index: 57
Sung-Ju Lee

Sung-Ju Lee

KAIST

H-index: 55
Chia-Wen Lin (林嘉文)

Chia-Wen Lin (林嘉文)

National Tsing Hua University

H-index: 54
Chen-Nee Chuah

Chen-Nee Chuah

University of California, Davis

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