Chee-Ming Ting

Chee-Ming Ting

Monash University

H-index: 20

Oceania-Australia

About Chee-Ming Ting

Chee-Ming Ting, With an exceptional h-index of 20 and a recent h-index of 15 (since 2020), a distinguished researcher at Monash University, specializes in the field of Statistical Signal Processing, Machine Learning, Biomedical Signals, Neuroimaging, Time Series Analysis.

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

Dynamic MRI reconstruction using low-rank plus sparse decomposition with smoothness regularization

ASF-YOLO: A novel YOLO model with attentional scale sequence fusion for cell instance segmentation

Graph autoencoders for embedding learning in brain networks and major depressive disorder identification

A Multimodal Feature Distillation with CNN-Transformer Network for Brain Tumor Segmentation with Incomplete Modalities

BrainFC-CGAN: A Conditional Generative Adversarial Network for Brain Functional Connectivity Augmentation and Aging Synthesis

Brain waves spectral analysis of human responses to odorous and non-odorous substances: a preliminary study

CAFCT: Contextual and Attentional Feature Fusions of Convolutional Neural Networks and Transformer for Liver Tumor Segmentation

Bgf-yolo: Enhanced yolov8 with multiscale attentional feature fusion for brain tumor detection

Chee-Ming Ting Information

University

Position

Associate Professor . PhD (Maths - Statistics)

Citations(all)

1284

Citations(since 2020)

858

Cited By

726

hIndex(all)

20

hIndex(since 2020)

15

i10Index(all)

30

i10Index(since 2020)

19

Email

University Profile Page

Monash University

Google Scholar

View Google Scholar Profile

Chee-Ming Ting Skills & Research Interests

Statistical Signal Processing

Machine Learning

Biomedical Signals

Neuroimaging

Time Series Analysis

Top articles of Chee-Ming Ting

Title

Journal

Author(s)

Publication Date

Dynamic MRI reconstruction using low-rank plus sparse decomposition with smoothness regularization

arXiv preprint arXiv:2401.16928

Chee-Ming Ting

Fuad Noman

Raphaël C-W Phan

Hernando Ombao

2024/1/30

ASF-YOLO: A novel YOLO model with attentional scale sequence fusion for cell instance segmentation

arXiv preprint arXiv:2312.06458

Ming Kang

Chee-Ming Ting

Fung Fung Ting

Raphaël C-W Phan

2023/12/11

Graph autoencoders for embedding learning in brain networks and major depressive disorder identification

IEEE Journal of Biomedical and Health Informatics

Fuad Noman

Chee-Ming Ting

Hakmook Kang

Raphaël C-W Phan

Hernando Ombao

2024/1/9

A Multimodal Feature Distillation with CNN-Transformer Network for Brain Tumor Segmentation with Incomplete Modalities

arXiv preprint arXiv:2404.14019

Ming Kang

Fung Fung Ting

Raphaël C-W Phan

Zongyuan Ge

Chee-Ming Ting

2024/4/22

BrainFC-CGAN: A Conditional Generative Adversarial Network for Brain Functional Connectivity Augmentation and Aging Synthesis

Yee-Fan Tan

Junn-Yong Loo

Chee-Ming Ting

Fuad Noman

Raphaël C-W Phan

...

2024/4/14

Brain waves spectral analysis of human responses to odorous and non-odorous substances: a preliminary study

The Journal of Laryngology & Otology

Xiao Hong Chow

Chee Ming Ting

Aneeza Khairiyah Wan Hamizan

Farah Dayana Zahedi

Hui Jan Tan

...

2024/3

CAFCT: Contextual and Attentional Feature Fusions of Convolutional Neural Networks and Transformer for Liver Tumor Segmentation

arXiv preprint arXiv:2401.16886

Ming Kang

Chee-Ming Ting

Fung Fung Ting

Raphaël Phan

2024/1/30

Bgf-yolo: Enhanced yolov8 with multiscale attentional feature fusion for brain tumor detection

arXiv preprint arXiv:2309.12585

Ming Kang

Chee-Ming Ting

Fung Fung Ting

Raphaël C-W Phan

2023/9/22

CST-YOLO: A Novel Method for Blood Cell Detection Based on Improved YOLOv7 and CNN-Swin Transformer

arXiv preprint arXiv:2306.14590

Ming Kang

Chee-Ming Ting

Fung Fung Ting

Raphaël Phan

2023/6/26

Unsupervised Cross-Domain Soft Sensor Modelling via A Deep Bayesian Particle Flow Framework

arXiv preprint arXiv:2306.04919

Junn Yong Loo

Ze Yang Ding

Surya G Nurzaman

Chee-Ming Ting

Vishnu Monn Baskaran

...

2023/6/8

ELEGANT: End-to-end Language Grounded Speech Denoiser for Efficient Generation of Talking Face

Ai-Fang Chai

Sailaja Rajanala

Arghya Pal

Raphaël C-W Phan

Chee-Ming Ting

2023/10/31

A Deep Probabilistic Spatiotemporal Framework for Dynamic Graph Representation Learning with Application to Brain Disorder Identification

arXiv preprint arXiv:2302.07243

Junn Yong Loo

Sin-Yee Yap

Fuad Noman

Raphael CW Phan

Chee-Ming Ting

2023/2/14

A Unified Framework for Static and Dynamic Functional Connectivity Augmentation for Multi-Domain Brain Disorder Classification

Yee-Fan Tan

Chee-Ming Ting

Fuad Noman

Raphaël C-W Phan

Hernando Ombao

2023/10/8

RCS-YOLO: A fast and high-accuracy object detector for brain tumor detection

Ming Kang

Chee-Ming Ting

Fung Fung Ting

Raphaël C-W Phan

2023/10/1

GraphEx: Facial Action Unit Graph for Micro-Expression Classification

Shu-Min Leong

Fuad Noman

Raphaël C-W Phan

Vishnu Monn Baskaran

Chee-Ming Ting

2022/10/16

Markov-switching state-space models with applications to neuroimaging

Computational Statistics & Data Analysis

David Degras

Chee-Ming Ting

Hernando Ombao

2022/10/1

Rhythmic Pattern of EEG for Identifying Schizophrenia

Sh Hussain Hussain

Fuad M Noman

Hadri Hussain

Chee-Ming Ting

Syed Rasul Bin G Syed Hamid

...

2022/9/14

Classification of ECG Ventricular Beats Assisted by Gaussian Parameters’ Dictionary

Sh Hussain Salleh

Fuad Noman

Hadri Hussain

Chee-Ming Ting

Syed Rasul bin G Syed Hamid

...

2022/2/28

Graph-regularized manifold-aware conditional Wasserstein GAN for brain functional connectivity generation

arXiv preprint arXiv:2212.05316

Yee-Fan Tan

Chee-Ming Ting

Fuad Noman

Raphaël C-W Phan

Hernando Ombao

2022/12/10

A Brief Review of Computation Techniques for ECG Signal Analysis

Salleh Sh Hussain

Fuad Noman

Hadri Hussain

Chee-Ming Ting

Syed Rasul G Syed bin Hamid

...

2022/2/28

See List of Professors in Chee-Ming Ting University(Monash University)