Chee-Ming Ting

96 papers A* 2A 1B 10Misc 3Journal 51Unranked 29

Year	Rank	Type	Title / Venue / Authors
2026	A*	`conf`	FLAG-4D: Flow-Guided Local-Global Dual-Deformation Model for 4D Reconstruction. AAAI Guan Yuan Tan, Ngoc Tuan Vu, Arghya Pal, Sailaja Rajanala, Raphael C.-W. Phan, Mettu Srinivas, Chee-Ming Ting
2026	J	`jnl`	FLAG-4D: Flow-Guided Local-Global Dual-Deformation Model for 4D Reconstruction. CoRR Guan Yuan Tan, Ngoc Tuan Vu, Arghya Pal, Sailaja Rajanala, Raphael Chung-Wei Phan, Mettu Srinivas, Chee-Ming Ting
2026	J	`jnl`	Multi-Modal masked autoencoder and parallel Mamba for 3D brain tumor segmentation. Pattern Recognit. Lett. Yaya Huang, LiTong Liu, Tianzhen Zhang, Sisi Wang, Chee-Ming Ting
2026	J	`jnl`	PanopMamba: Vision State Space Modeling for Nuclei Panoptic Segmentation. CoRR Ming Kang, Fung Fung Ting, Raphaël C.-W. Phan, Zongyuan Ge, Chee-Ming Ting
2025	—	`conf`	Adaptive Graph Learning with Multi-graph Convolutions for Brain Disorder Classification. MICCAI (12) Fuad Noman, Raphaël C.-W. Phan, Hernando Ombao, Chee-Ming Ting
2025	J	`jnl`	Brain-MGF: Multimodal Graph Fusion Network for EEG-fMRI Brain Connectivity Analysis Under Psilocybin. CoRR Sin-Yee Yap, Fuad Noman, Junn Yong Loo, Devon Stoliker, Moein Khajehnejad, Raphaël C.-W. Phan, David L. Dowe, Adeel Razi, Chee-Ming Ting
2025	—	`conf`	Connectome-GTC: A Unified Framework for Brain Functional and Structural Connectomes Generation, Translation, and Classification. ISBI Yee-Fan Tan, Pei-Sze Tan, Fuad Noman, Raphael C.-W. Phan, Hernando Ombao, Chee-Ming Ting
2025	J	`jnl`	Denoising via Repainting: an image denoising method using layer wise medical image repainting. CoRR Arghya Pal, Sailaja Rajanala, Chee-Ming Ting, Raphael C.-W. Phan
2025	—	`conf`	HG-YOLO: Improving Tumor Detection with PP-HGNet and Global Attention Mechanism. ICCSA (1) Kien Trang, Bao Quoc Vuong, An Hoang Nguyen, Fung Fung Ting, Chee-Ming Ting
2025	—	`conf`	Herald: Democratizing Compositional Reasoning for Visual Tasks without Any Training. APSIPA Guan-Yuan Tan, Arghya Pal, Sailaja Rajanala, Raphaël C.-W. Phan, Chee-Ming Ting
2025	J	`jnl`	KANS: Knowledge Discovery Graph Attention Network for Soft Sensing in Multivariate Industrial Processes. CoRR Hwa Hui Tew, Gaoxuan Li, Fan Ding, Xuewen Luo, Junn Yong Loo, Chee-Ming Ting, Ze Yang Ding, Chee Pin Tan
2025	J	`jnl`	Learning Energy-Based Generative Models via Potential Flow: A Variational Principle Approach to Probability Density Homotopy Matching. CoRR Junn Yong Loo, Michelle Adeline, Julia Kaiwen Lau, Fang Yu Leong, Hwa Hui Tew, Arghya Pal, Vishnu Monn Baskaran, Chee-Ming Ting, Raphaël C.-W. Phan
2025	J	`jnl`	Learning Energy-Based Generative Models via Potential Flow: A Variational Principle Approach to Probability Density Homotopy Matching. Trans. Mach. Learn. Res. Junn Yong Loo, Fang Yu Leong, Michelle Adeline, Julia Kaiwen Lau, Hwa Hui Tew, Arghya Pal, Vishnu Monn Baskaran, Chee-Ming Ting, Raphaël C.-W. Phan
2025	J	`jnl`	MANGA-YOLO: A Mamba-inspired YOLO model with group attention for breast mass detection in mammograms. Comput. Biol. Medicine Kien Trang, Fung Fung Ting, Bao Quoc Vuong, Chee-Ming Ting
2025	A	`conf`	PK-YOLO: Pretrained Knowledge Guided YOLO for Brain Tumor Detection in Multiplanar MRI Slices. WACV Ming Kang, Fung Fung Ting, Raphaël C.-W. Phan, Chee-Ming Ting
2025	B	`conf`	Polyfit generative model: can a group of lower-order polynomials generate high resolution diverse images? IJCNN Arghya Pal, Ai-Fang Chai, Sailaja Rajanala, Raphael C.-W. Phan, KokSheik Wong, Chee-Ming Ting
2025	J	`jnl`	SFC-GAN: A Generative Adversarial Network for Brain Functional and Structural Connectome Translation. CoRR Yee-Fan Tan, Jun Lin Liow, Pei-Sze Tan, Fuad Noman, Raphael C.-W. Phan, Hernando Ombao, Chee-Ming Ting
2025	Misc	`conf`	ST-HCSS: Deep Spatio-Temporal Hypergraph Convolutional Neural Network for Soft Sensing. ICASSP Hwa Hui Tew, Fan Ding, Gaoxuan Li, Junn Yong Loo, Chee-Ming Ting, Ze Yang Ding, Chee Pin Tan
2025	J	`jnl`	ST-HCSS: Deep Spatio-Temporal Hypergraph Convolutional Neural Network for Soft Sensing. CoRR Hwa Hui Tew, Fan Ding, Gaoxuan Li, Junn Yong Loo, Chee-Ming Ting, Ze Yang Ding, Chee Pin Tan
2025	—	`conf`	T2I-Diff: fMRI Signal Generation via Time-Frequency Image Transform and Classifier-Free Denoising Diffusion Models. MICCAI (3) Hwa Hui Tew, Junn Yong Loo, Yee-Fan Tan, Xinyu Tang, Hernando Ombao, Fuad Noman, Raphaël C.-W. Phan, Chee-Ming Ting
2025	J	`jnl`	T2I-Diff: fMRI Signal Generation via Time-Frequency Image Transform and Classifier-Free Denoising Diffusion Models. CoRR Hwa Hui Tew, Junn Yong Loo, Yee-Fan Tan, Xinyu Tang, Hernando Ombao, Fuad Noman, Raphael C.-W. Phan, Chee-Ming Ting
2025	J	`jnl`	Validity and reliability of the ultra-short-term heart rate variability features in predicting ventricular tachyarrhythmia. Biomed. Signal Process. Control. Thion Ming Chieng, Yuan Wen Hau, Zaid Bin Omar, Chiao Wen Lim, Chee-Ming Ting, Satria Mandala
2024	A*	`conf`	A Deep Probabilistic Spatiotemporal Framework for Dynamic Graph Representation Learning with Application to Brain Disorder Identification. IJCAI Sin-Yee Yap, Junn Yong Loo, Chee-Ming Ting, Fuad Noman, Raphaël C.-W. Phan, Adeel Razi, David L. Dowe
2024	J	`jnl`	A Multimodal Feature Distillation with CNN-Transformer Network for Brain Tumor Segmentation with Incomplete Modalities. CoRR Ming Kang, Fung Fung Ting, Raphaël C.-W. Phan, Zongyuan Ge, Chee-Ming Ting
2024	B	`conf`	A Preconditioning Approach To Optimizing Sensing Matrix For Improved Compressed Sensing CT Reconstruction. ICIP Prasad Theeda, Chee-Ming Ting, Arghya Pal, Hernando Ombao
2024	J	`jnl`	ASF-YOLO: A novel YOLO model with attentional scale sequence fusion for cell instance segmentation. Image Vis. Comput. Ming Kang, Chee-Ming Ting, Fung Fung Ting, Raphaël C.-W. Phan
2024	—	`conf`	BGF-YOLO: Enhanced YOLOv8 with Multiscale Attentional Feature Fusion for Brain Tumor Detection. MICCAI (8) Ming Kang, Chee-Ming Ting, Fung Fung Ting, Raphaël C.-W. Phan
2024	Misc	`conf`	BrainFC-CGAN: A Conditional Generative Adversarial Network for Brain Functional Connectivity Augmentation and Aging Synthesis. ICASSP Yee-Fan Tan, Junn Yong Loo, Chee-Ming Ting, Fuad Noman, Raphaël C.-W. Phan, Hernando Ombao
2024	J	`jnl`	CAFCT: Contextual and Attentional Feature Fusions of Convolutional Neural Networks and Transformer for Liver Tumor Segmentation. CoRR Ming Kang, Chee-Ming Ting, Fung Fung Ting, Raphaël C.-W. Phan
2024	B	`conf`	CST-Yolo: A Novel Method For Blood Cell Detection Based On Improved Yolov7 And CNN-Swin Transformer. ICIP Ming Kang, Chee-Ming Ting, Fung Fung Ting, Raphaël C.-W. Phan
2024	B	`conf`	Cafct-Net: A Cnn-Transformer Hybrid Network With Contextual And Attentional Feature Fusion For Liver Tumor Segmentation. ICIP Ming Kang, Chee-Ming Ting, Fung Fung Ting, Raphaël C.-W. Phan
2024	B	`conf`	Deep Multi-Graph Embedded Clustering for Community Detection in FMRI Functional Brain Networks Across Individuals. ICIP Kai-Jun See, Chee-Ming Ting, Fuad Noman, Junn Yong Loo, Yee-Fan Tan, Hernando Ombao, Raphaël C.-W. Phan
2024	B	`conf`	Dynamic MRI Reconstruction Using Low-Rank Plus Sparse Decomposition With Smoothness Regularization. ICIP Chee-Ming Ting, Fuad Noman, Raphaël C.-W. Phan, Hernando Ombao
2024	J	`jnl`	Dynamic MRI reconstruction using low-rank plus sparse decomposition with smoothness regularization. CoRR Chee-Ming Ting, Fuad Noman, Raphaël C.-W. Phan, Hernando Ombao
2024	J	`jnl`	Graph Autoencoders for Embedding Learning in Brain Networks and Major Depressive Disorder Identification. IEEE J. Biomed. Health Informatics Fuad Noman, Chee-Ming Ting, Hakmook Kang, Raphaël C.-W. Phan, Hernando C. Ombao
2024	B	`conf`	KANS: Knowledge Discovery Graph Attention Network for Soft Sensing in Multivariate Industrial Processes. SMC Hwa Hui Tew, Gaoxuan Li, Fan Ding, Xuewen Luo, Junn Yong Loo, Chee-Ming Ting, Ze Yang Ding, Chee Pin Tan
2024	J	`jnl`	Node-Based Graph Convolutional Network With SLIC Method for Breast Cancer Ultrasound Images Classification. IEEE Access Kien Trang, Fung Fung Ting, Bao Quoc Vuong, Chee-Ming Ting
2024	J	`jnl`	PK-YOLO: Pretrained Knowledge Guided YOLO for Brain Tumor Detection in Multiplanar MRI Slices. CoRR Ming Kang, Fung Fung Ting, Raphaël C.-W. Phan, Chee-Ming Ting
2024	J	`jnl`	Variational Potential Flow: A Novel Probabilistic Framework for Energy-Based Generative Modelling. CoRR Junn Yong Loo, Michelle Adeline, Arghya Pal, Vishnu Monn Baskaran, Chee-Ming Ting, Raphael C.-W. Phan
2024	—	`conf`	fMRI Functional Connectivity Augmentation Using Convolutional Generative Adversarial Networks for Brain Disorder Classification. ISBI Yee-Fan Tan, Chee-Ming Ting, Fuad Noman, Raphaël C.-W. Phan, Hernando Ombao
2023	J	`jnl`	A Deep Probabilistic Spatiotemporal Framework for Dynamic Graph Representation Learning with Application to Brain Disorder Identification. CoRR Junn Yong Loo, Sin-Yee Yap, Fuad Noman, Raphael C.-W. Phan, Chee-Ming Ting
2023	B	`conf`	A Unified Framework for Static and Dynamic Functional Connectivity Augmentation for Multi-Domain Brain Disorder Classification. ICIP Yee-Fan Tan, Chee-Ming Ting, Fuad Noman, Raphaël C.-W. Phan, Hernando C. Ombao
2023	J	`jnl`	ASF-YOLO: A Novel YOLO Model with Attentional Scale Sequence Fusion for Cell Instance Segmentation. CoRR Ming Kang, Chee-Ming Ting, Fung Fung Ting, Raphaël C.-W. Phan
2023	J	`jnl`	BGF-YOLO: Enhanced YOLOv8 with Multiscale Attentional Feature Fusion for Brain Tumor Detection. CoRR Ming Kang, Chee-Ming Ting, Fung Fung Ting, Raphaël C.-W. Phan
2023	J	`jnl`	CST-YOLO: A Novel Method for Blood Cell Detection Based on Improved YOLOv7 and CNN-Swin Transformer. CoRR Ming Kang, Chee-Ming Ting, Fung Fung Ting, Raphaël C.-W. Phan
2023	—	`conf`	ELEGANT: End-to-end Language Grounded Speech Denoiser for Efficient Generation of Talking Face. APSIPA ASC Ai-Fang Chai, Sailaja Rajanala, Arghya Pal, Raphaël C.-W. Phan, Chee-Ming Ting
2023	—	`conf`	RCS-YOLO: A Fast and High-Accuracy Object Detector for Brain Tumor Detection. MICCAI (4) Ming Kang, Chee-Ming Ting, Fung Fung Ting, Raphaël C.-W. Phan
2023	J	`jnl`	RCS-YOLO: A Fast and High-Accuracy Object Detector for Brain Tumor Detection. CoRR Ming Kang, Chee-Ming Ting, Fung Fung Ting, Raphaël C.-W. Phan
2023	J	`jnl`	Unsupervised Cross-Domain Soft Sensor Modelling via Deep Physics-Inspired Particle Flow Bayes. CoRR Junn Yong Loo, Ze Yang Ding, Surya Girinatha Nurzaman, Chee-Ming Ting, Vishnu Monn Baskaran, Chee Pin Tan
2022	B	`conf`	Graph Autoencoder-Based Embedded Learning in Dynamic Brain Networks for Autism Spectrum Disorder Identification. ICIP Fuad Noman, Sin-Yee Yap, Raphaël C.-W. Phan, Hernando C. Ombao, Chee-Ming Ting
2022	J	`jnl`	Graph-Regularized Manifold-Aware Conditional Wasserstein GAN for Brain Functional Connectivity Generation. CoRR Yee-Fan Tan, Chee-Ming Ting, Fuad Noman, Raphaël C.-W. Phan, Hernando Ombao
2022	B	`conf`	GraphEx: Facial Action Unit Graph for Micro-Expression Classification. ICIP Shu-Min Leong, Fuad Noman, Raphaël C.-W. Phan, Vishnu Monn Baskaran, Chee-Ming Ting
2022	J	`jnl`	Markov-switching state-space models with applications to neuroimaging. Comput. Stat. Data Anal. David Degras, Chee-Ming Ting, Hernando C. Ombao
2022	J	`jnl`	Separating Stimulus-Induced and Background Components of Dynamic Functional Connectivity in Naturalistic fMRI. IEEE Trans. Medical Imaging Chee-Ming Ting, Jeremy I. Skipper, Fuad Noman, Steven L. Small, Hernando C. Ombao
2021	—	`conf`	A Brief Review of Computation Techniques for ECG Signal Analysis. TCCE Sheikh Hussain Shaikh Salleh, Fuad Noman, Hadri Hussain, Chee-Ming Ting, Syed Rasul Bin G. Syed Hamid, Hadrina Sh-Hussain, Muhammad Arif Jalil, Ahmad Zubaidi Abdul Latif, Syed Zuhaib Haider Rizvi, Kuryati Kipli, Kavikumar Jacob, Kanad Ray, M. Shamim Kaiser, Mufti Mahmud, Jalil Ali
2021	—	`conf`	Classification of ECG Ventricular Beats Assisted by Gaussian Parameters' Dictionary. TCCE Sh-Hussain Salleh, Fuad Noman, Hadri Hussain, Chee-Ming Ting, Syed Rasul Bin G. Syed Hamid, Hadrina Sh-Hussain, Muhammad Arif Jalil, A. L. Ahmad Zubaidi, Syed Zuhaib Haider Rizvi, Kuryati Kipli, Kavikumar Jacob, Kanad Ray, M. Shamim Kaiser, Mufti Mahmud, Jalil Ali
2021	J	`jnl`	Detecting Dynamic Community Structure in Functional Brain Networks Across Individuals: A Multilayer Approach. IEEE Trans. Medical Imaging Chee-Ming Ting, S. Balqis Samdin, Meini Tang, Hernando C. Ombao
2021	—	`conf`	Enhanced Signal Processing Using Modified Cyclic Shift Tree Denoising. AII Hadri Hussain, W. S. N. A. Wan Abd Aziz, Chee-Ming Ting, Fuad M. Noman, Ahmad Zubaidi Abdul Latif, S. Balqis Samdin, Hadrina Sh, Muhammad Arif Jalil, Yusmeera Yusoff, Kavikumar Jacob, Kanad Ray, M. Shamim Kaiser, Sheikh Hussain Shaikh Salleh, Jalil Ali
2021	J	`jnl`	Graph Autoencoders for Embedding Learning in Brain Networks and Major Depressive Disorder Identification. CoRR Fuad Noman, Chee-Ming Ting, Hakmook Kang, Raphael C.-W. Phan, Brian D. Boyd, Warren D. Taylor, Hernando C. Ombao
2021	—	`conf`	Identifying Individuals Using EEG-Based Brain Connectivity Patterns. BI Hadri Hussain, Chee-Ming Ting, Muhammad Arif Jalil, Kanad Ray, Syed Zuhaib Haider Rizvi, Jacob Kavikumar, Fuad M. Noman, Ahmad Zubaidi Ahmad Zubaidi, Yin Fen Low, Sh-Hussain, Mufti Mahmud, M. Shamim Kaiser, Jalil Ali
2021	—	`conf`	Key Techniques and Challenges for Processing of Heart Sound Signals. AII Sheikh Hussain Shaikh Salleh, Fuad M. Noman, Chee-Ming Ting, Syed Rasul Bin G. Syed Hamid, Siti Hadrina Bt Sheikh Hussain, Muhammad Arif Jalil, Ahmad Zubaidi Abdul Latif, Kavikumar Jacob, Kanad Ray, M. Shamim Kaiser, Jalil Ali
2021	J	`jnl`	Separating Stimulus-Induced and Background Components of Dynamic Functional Connectivity in Naturalistic fMRI. CoRR Chee-Ming Ting, Jeremy I. Skipper, Steven L. Small, Hernando C. Ombao
2020	J	`jnl`	A Markov-Switching Model Approach to Heart Sound Segmentation and Classification. IEEE J. Biomed. Health Informatics Fuad Noman, Sh-Hussain Salleh, Chee-Ming Ting, S. Balqis Samdin, Hernando C. Ombao, Hadri Hussain
2020	J	`jnl`	A Multi-Domain Connectome Convolutional Neural Network for Identifying Schizophrenia From EEG Connectivity Patterns. IEEE J. Biomed. Health Informatics Chun-Ren Phang, Fuad Noman, Hadri Hussain, Chee-Ming Ting, Hernando C. Ombao
2020	J	`jnl`	Detecting Dynamic Community Structure in Functional Brain Networks Across Individuals: A Multilayer Approach. CoRR Chee-Ming Ting, S. Balqis Samdin, Meini Tang, Hernando C. Ombao
2020	J	`jnl`	Multi-Scale Factor Analysis of High-Dimensional Functional Connectivity in Brain Networks. IEEE Trans. Netw. Sci. Eng. Chee-Ming Ting, Hernando C. Ombao, Sh-Hussain Salleh, Ahmad Zubaidi Abdul Latif
2019	J	`jnl`	Classification of EEG-Based Brain Connectivity Networks in Schizophrenia Using a Multi-Domain Connectome Convolutional Neural Network. CoRR Chun-Ren Phang, Chee-Ming Ting, Fuad Noman, Hernando C. Ombao
2019	—	`conf`	Classification of EEG-based Effective Brain Connectivity in Schizophrenia using Deep Neural Networks. NER Chun-Ren Phang, Chee-Ming Ting, S. Balqis Samdin, Hernando C. Ombao
2019	—	`conf`	Detecting State Changes in Community Structure of Functional Brain Networks Using a Markov-Switching Stochastic Block Model. ISBI S. Balqis Samdin, Chee-Ming Ting, Hernando C. Ombao
2019	—	`conf`	Estimating Brain Connectivity Using Copula Gaussian Graphical Models. ISBI Xu Gao, Weining Shen, Chee-Ming Ting, Steven C. Cramer, Ramesh Srinivasan, Hernando C. Ombao
2019	—	`conf`	Exploratory Analysis of Brain Signals through Low Dimensional Embedding. NER Yuxiao Wang, Chee-Ming Ting, Xu Gao, Hernando C. Ombao
2019	Misc	`conf`	Short-segment Heart Sound Classification Using an Ensemble of Deep Convolutional Neural Networks. ICASSP Fuad Noman, Chee-Ming Ting, Sh-Hussain Salleh, Hernando C. Ombao
2018	J	`jnl`	A Markov-Switching Model Approach to Heart Sound Segmentation and Classification. CoRR Fuad Noman, Sh-Hussain Salleh, Chee-Ming Ting, S. Balqis Samdin, Hernando Ombao, Hadri Hussain
2018	J	`jnl`	Estimating Dynamic Connectivity States in fMRI Using Regime-Switching Factor Models. IEEE Trans. Medical Imaging Chee-Ming Ting, Hernando C. Ombao, S. Balqis Samdin, Sh-Hussain Salleh
2018	—	`conf`	Performance Study for Multimodel Client Identification System Using Cardiac and Speech Signals. ISMICT Hadri Hussain, Sh-Hussain Salleh, Chee-Ming Ting, Fuad Noman, M. M. Mohammad, Ahmad Zubaidi Abdul Latif, Osamah Al-Hamdani
2018	J	`jnl`	Robust Facial Expression Recognition for MuCI: A Comprehensive Neuromuscular Signal Analysis. IEEE Trans. Affect. Comput. Mahyar Hamedi, Sh-Hussain Salleh, Chee-Ming Ting, Mehdi Astaraki, Alias Mohd Noor
2018	J	`jnl`	Short-segment heart sound classification using an ensemble of deep convolutional neural networks. CoRR Fuad Noman, Chee-Ming Ting, Sh-Hussain Salleh, Hernando C. Ombao
2018	J	`jnl`	Statistical models for brain signals with properties that evolve across trials. NeuroImage Hernando C. Ombao, Mark Fiecas, Chee-Ming Ting, Yin Fen Low
2017	J	`jnl`	A Unified Estimation Framework for State-Related Changes in Effective Brain Connectivity. IEEE Trans. Biomed. Eng. S. Balqis Samdin, Chee-Ming Ting, Hernando Ombao, Sh-Hussain Salleh
2017	—	`conf`	Analysis of ECG biosignal recognition for client identifiction. ICSIPA Hadri Hussain, Chee-Ming Ting, Fuad Numan, M. Nasir Ibrahim, Nur Fariza Izan, M. M. Mohammad, Hadrina Sh-Hussain
2017	—	`conf`	Heart sound segmentation using switching linear dynamical models. GlobalSIP Fuad Noman, Sh-Hussain Salleh, Chee-Ming Ting, Hadri Hussain
2017	J	`jnl`	fMRI hemodynamic response function estimation in autoregressive noise by avoiding the drift. Digit. Signal Process. Abd-Krim Seghouane, Adnan Shah, Chee-Ming Ting
2016	—	`conf`	Estimation of high-dimensional connectivity in FMRI data via subspace autoregressive models. SSP Chee-Ming Ting, Abd-Krim Seghouane, Sh-Hussain Salleh
2016	J	`jnl`	Modeling Effective Connectivity in High-Dimensional Cortical Source Signals. IEEE J. Sel. Top. Signal Process. Yuxiao Wang, Chee-Ming Ting, Hernando C. Ombao
2015	J	`jnl`	Estimating Effective Connectivity from fMRI Data Using Factor-based Subspace Autoregressive Models. IEEE Signal Process. Lett. Chee-Ming Ting, Abd-Krim Seghouane, Sheikh Hussain Shaikh Salleh, A. B. Mohd Noor
2015	J	`jnl`	Is First-Order Vector Autoregressive Model Optimal for fMRI Data? Neural Comput. Chee-Ming Ting, Abd-Krim Seghouane, Muhammad Usman Khalid, Sh-Hussain Salleh
2015	J	`jnl`	Modeling and estimation of single-trial event-related potentials using partially observed diffusion processes. Digit. Signal Process. Chee-Ming Ting, Sh-Hussain Salleh, Zaitul Marlizawati Zainuddin, Arifah Bahar
2014	J	`jnl`	Artifact Removal from Single-Trial ERPs using Non-Gaussian Stochastic Volatility Models and Particle Filter. IEEE Signal Process. Lett. Chee-Ming Ting, Sh-Hussain Salleh, Zaitul Marlizawati Zainuddin, Arifah Bahar
2014	—	`conf`	Estimating dynamic cortical connectivity from motor imagery EEG using KALMAN smoother & EM algorithm. SSP S. Balqis Samdin, Chee-Ming Ting, Sh-Hussain Salleh, Mahyar Hamedi, A. B. Mohd Noor
2014	—	`conf`	Estimation of high-dimensional brain connectivity from FMRI data using factor modeling. SSP Chee-Ming Ting, Abd-Krim Seghouane, Sheikh Hussain Shaikh Salleh, A. B. Mohd Noor
2013	—	`conf`	Discriminative tandem features for HMM-based EEG classification. EMBC Chee-Ming Ting, Simon King, Sh-Hussain Salleh, Ahmad Kamaru Ariff
2013	—	`conf`	Linear dynamic models for classification of single-trial EEG. EMBC S. Balqis Samdin, Chee-Ming Ting, Sh-Hussain Salleh, Ahmad Kamaru Ariff, A. B. Mohd Noor
2012	—	`conf`	An expectation-maximization algorithm based Kalman smoother approach for single-trial estimation of event-related potentials. EMBC Chee-Ming Ting, S. Balqis Samdin, Sh-Hussain Salleh, M. Hafizi Omar, Ismail Kamarulafizam
2011	J	`jnl`	Spectral Estimation of Nonstationary EEG Using Particle Filtering With Application to Event-Related Desynchronization (ERD). IEEE Trans. Biomed. Eng. Chee-Ming Ting, Sheikh Hussain Salleh, Zaitul Marlizawati Zainuddin, Arifah Bahar
2010	—	`conf`	ECG based personal identification using extended Kalman filter. ISSPA Chee-Ming Ting, Sheikh Hussain Salleh
2010	—	`conf`	PCA and LDA-based face verification using back-propagation neural network. ISSPA Lih-Heng Chan, Sheikh Hussain Salleh, Chee-Ming Ting, Ahmad Kamaru Ariff