A High Performance Hand-printed Numeral Recognition System with Verification Module. - Jie Zhou 023; Qiang Gan 001; Ching Y. Suen (ICDAR, 1997)

Cellular neural networks with opposite‐sign templates for image thinning. - Jun-Sheng Wang; Qiang Gan 001; Yu Wei 001; Li Xie (Int. J. Circuit Theory Appl., 1999)

Recognition of handwritten numerals by Quantum Neural Network with fuzzy features. - Jie Zhou 023; Qiang Gan 001; Adam Krzyzak; Ching Y. Suen (Int. J. Document Anal. Recognit., 1999)

Fuzzy local linearization and local basis function expansion in nonlinear system modeling. - Qiang Gan 001; Chris J. Harris (IEEE Trans. Syst. Man Cybern. Part B, 1999)

Linearization and state estimation of unknown discrete-time nonlinear dynamic systems using recurrent neurofuzzy networks. - Qiang Gan 001; Chris J. Harris (IEEE Trans. Syst. Man Cybern. Part B, 1999)

State estimation and multi-sensor data fusion using data-based neurofuzzy local linearisation process models. - Chris J. Harris; Qiang Gan 001 (Inf. Fusion, 2001)

A hybrid learning scheme combining EM and MASMOD algorithms for fuzzy local linearization modeling. - Qiang Gan 001; Chris J. Harris (IEEE Trans. Neural Networks, 2001)

Adaptive Modelling, Estimation and Fusion from Data: A Neurofuzzy Approach - Chris J. Harris; Xia Hong 001; Qiang Gan 001 (Springer, 2002)

Non-uniform partition strategies for indexing high-dimensional data with different distributions. - Ben Wang; Qiang Gan 001 (ISMSE, 2003)

Interpretability improvement of input space partitioning by merging fuzzy sets based on an entropy measure. - Shang-Ming Zhou; John Q. Gan (FUZZ-IEEE, 2004)

Integration of Projected Clusters and Principal Axis Trees for High-Dimensional Data Indexing and Query. - Ben Wang; John Q. Gan (IDEAL, 2004)

Mercer Kernel, Fuzzy C-Means Algorithm, and Prototypes of Clusters. - Shang-Ming Zhou; John Q. Gan (IDEAL, 2004)

Improving the interpretability of Takagi-Sugeno fuzzy model by using linguistic modifiers and a multiple objective learning scheme. - Shang-Ming Zhou; John Q. Gan (IJCNN, 2004)

An Unsupervised Kernel Based Fuzzy C-Means Clustering Algorithm With Kernel Normalisation. - Shang-Ming Zhou; John Q. Gan (Int. J. Comput. Intell. Appl., 2004)

An Incremental Updating Method for Clustering-Based High-Dimensional Data Indexing. - Ben Wang; John Q. Gan (CIS (1), 2005)

Inverse kinematics learning for robotic arms with fewer degrees of freedom by modular neural network systems. - Eimei Oyama; Taro Maeda; John Q. Gan; Eric M. Rosales; Karl F. MacDorman; Susumu Tachi; Arvin Agah (IROS, 2005)

An analysis of the inverse kinematics for a 5-DOF manipulator. - De Xu; Carlos Antonio Acosta Calderon; John Q. Gan; Huosheng Hu; Min Tan 001 (Int. J. Autom. Comput., 2005)

A complete analytical solution to the inverse kinematics of the Pioneer 2 robotic arm. - John Q. Gan; Eimei Oyama; Eric M. Rosales; Huosheng Hu (Robotica, 2005)

SC-Tree: An Efficient Structure for High-Dimensional Data Indexing. - Ben Wang; John Q. Gan (BNCOD, 2006)

A New Fuzzy Membership Function with Applications in Interpretability Improvement of Neurofuzzy Models. - John Q. Gan; Shang-Ming Zhou (ICIC (2), 2006)

Constructing accurate and parsimonious fuzzy models with distinguishable fuzzy sets based on an entropy measure. - Shang-Ming Zhou; John Q. Gan (Fuzzy Sets Syst., 2006)

A new fuzzy relaxation algorithm for image enhancement. - Shang-Ming Zhou; John Q. Gan (Int. J. Knowl. Based Intell. Eng. Syst., 2006)

Multiple Objective Learning for Constructing Interpretable Takagi-Sugeno Fuzzy Model. - Shang-Ming Zhou; John Q. Gan (Multi-Objective Machine Learning, 2006)

Asynchronous BCI Control of a Robot Simulator with Supervised Online Training. - Chun Sing Louis Tsui; John Q. Gan (IDEAL, 2007)

EMG-based hands-free wheelchair control with EOG attention shift detection. - Chun Sing Louis Tsui; Pei Jia; John Q. Gan; Huosheng Hu; Kui Yuan (ROBIO, 2007)

Interactive image enhancement by fuzzy relaxation. - Shang-Ming Zhou; John Q. Gan; Lida Xu; Robert I. John (Int. J. Autom. Comput., 2007)

Producing interpretable local models in parametric CMAC by regularization. - John Q. Gan; Eric M. Rosales (Int. J. Knowl. Based Intell. Eng. Syst., 2007)

Constructing L2-SVM-Based Fuzzy Classifiers in High-Dimensional Space With Automatic Model Selection and Fuzzy Rule Ranking. - Shang-Ming Zhou; John Q. Gan (IEEE Trans. Fuzzy Syst., 2007)

Adaptive Classification by Hybrid EKF with Truncated Filtering: Brain Computer Interfacing. - Ji Won Yoon; Stephen J. Roberts; Matthew Dyson; John Q. Gan (IDEAL, 2008)

Sequential Bayesian estimation for adaptive classification. - Ji Won Yoon; Stephen J. Roberts; Matthew Dyson; John Q. Gan (MFI, 2008)

A Novel Design of 4-Class BCI Using Two Binary Classifiers and Parallel Mental Tasks. - Tao Geng; John Q. Gan; Matthew Dyson; Chun Sing Louis Tsui; Francisco Sepulveda (Comput. Intell. Neurosci., 2008)

Low-level interpretability and high-level interpretability: a unified view of data-driven interpretable fuzzy system modelling. - Shang-Ming Zhou; John Q. Gan (Fuzzy Sets Syst., 2008)

Classifying mental tasks based on features of higher-order statistics from EEG signals in brain-computer interface. - Shang-Ming Zhou; John Q. Gan; Francisco Sepulveda (Inf. Sci., 2008)

Sequential EM for Unsupervised Adaptive Gaussian Mixture Model Based Classifier. - Bashar Awwad Shiekh Hasan; John Q. Gan (MLDM, 2009)

Fuzziness index driven fuzzy relaxation algorithm and applications to image processing. - Shang-Ming Zhou; John Q. Gan; Lida Xu; Robert Ivor John (Ann. Oper. Res., 2009)

A self-paced brain-computer interface for controlling a robot simulator: an online event labelling paradigm and an extended Kalman filter based algorithm for online training. - Chun Sing Louis Tsui; John Q. Gan; Stephen J. Roberts (Medical Biol. Eng. Comput., 2009)

Adaptive classification for Brain Computer Interface systems using Sequential Monte Carlo sampling. - Ji Won Yoon; Stephen J. Roberts; Matthew Dyson; John Q. Gan (Neural Networks, 2009)

Extracting Takagi-Sugeno Fuzzy Rules with Interpretable Submodels via Regularization of Linguistic Modifiers. - Shang-Ming Zhou; John Q. Gan (IEEE Trans. Knowl. Data Eng., 2009)

Multi-objective evolutionary methods for channel selection in Brain-Computer Interfaces: Some preliminary experimental results. - Bashar Awwad Shiekh Hasan; John Q. Gan; Qingfu Zhang 001 (IEEE Congress on Evolutionary Computation, 2010)

Unsupervised movement onset detection from EEG recorded during self-paced real hand movement. - Bashar Awwad Shiekh Hasan; John Q. Gan (Medical Biol. Eng. Comput., 2010)

A Hybrid Approach to Feature Subset Selection for Brain-Computer Interface Design. - John Q. Gan; Bashar Awwad Shiekh Hasan; Chun Sing Louis Tsui (IDEAL, 2011)

Bayesian inference for an adaptive Ordered Probit model: An application to Brain Computer Interfacing. - Ji Won Yoon; Stephen J. Roberts; Matthew Dyson; John Q. Gan (Neural Networks, 2011)

Continuous presentation for multi-objective channel selection in Brain-Computer Interfaces. - Noura Al Moubayed; Bashar Awwad Shiekh Hasan; John Q. Gan; Andrei Petrovski 001; John A. W. McCall (IEEE Congress on Evolutionary Computation, 2012)

Anomalous pattern based clustering of mental tasks with subject independent learning - some preliminary results. - Renato Cordeiro de Amorim; Boris G. Mirkin; John Q. Gan (Artif. Intell. Res., 2012)

Hangman BCI: An unsupervised adaptive self-paced Brain-Computer Interface for playing games. - Bashar Awwad Shiekh Hasan; John Q. Gan (Comput. Biol. Medicine, 2012)

Performance analysis of multi-frequency SSVEP-BCI using clear and frosted colour LED stimuli. - Surej Mouli; Ramaswamy Palaniappan; Ian P. Sillitoe; John Q. Gan (BIBE, 2013)

EEG-Based Cortical Localization of Neural Efficiency Related to Mathematical Giftedness. - Li Zhang; Haixian Wang; John Q. Gan (ICONIP (1), 2013)

Extracting optimal tempo-spatial features using local discriminant bases and common spatial patterns for brain computer interfacing. - Javier Asensio-Cubero; John Q. Gan; Ramaswamy Palaniappan (Biomed. Signal Process. Control., 2013)

Performance Evaluation of State-of-the-Art Ranked Retrieval Methods and Their Combinations for Query Suggestion. - Suthira Plansangket; John Q. Gan (KDIR, 2014)

CSP-Based EEG Analysis on Dissociated Brain Organization for Single-Digit Addition and Multiplication. - Lihan Wang; John Q. Gan; Haixian Wang (ISNN, 2014)

Multiresolution Analysis of an Information based EEG Graph Representation for Motor Imagery Brain Computer Interfaces. - Javier Asensio-Cubero; John Q. Gan; Ramaswamy Palaniappan (PhyCS, 2014)

Wavelet Lifting over Information-Based EEG Graphs for Motor Imagery Data Classification. - Javier Asensio-Cubero; John Q. Gan; Ramaswamy Palaniappan (PhyCS (Selected Papers), 2014)

A novel fuzzy logic approach to online exposure time calculation of line scan cameras in industrial inspection. - Hossein Farid Ghassem Nia; Huosheng Hu; John Q. Gan (Int. J. Model. Identif. Control., 2014)

A filter-dominating hybrid sequential forward floating search method for feature subset selection in high-dimensional space. - John Q. Gan; Bashar Awwad Shiekh Hasan; Chun Sing Louis Tsui (Int. J. Mach. Learn. Cybern., 2014)

cBDI-based Collaborative Control for a Robotic Wheelchair. - Adity Saikia; Md. Arif Khan; Sumant Pusph; Syed Ibtisam Tauhidi; Rupam Bhattacharyya 001; Shyamanta M. Hazarika; John Q. Gan (IHCI, 2015)

A Label-Aided Filter Method for Multi-objective Feature Selection in EEG Classification for BCI. - Pedro Martín-Smith; Julio Ortega Lopera; Javier Asensio-Cubero; John Q. Gan; Andrés Ortiz 001 (IWANN (1), 2015)

Evolutionary Multiobjective Feature Selection in Multiresolution Analysis for BCI. - Julio Ortega 001; Javier Asensio-Cubero; John Q. Gan; Andrés Ortiz 001 (IWBBIO (1), 2015)

A query suggestion method combining TF-IDF and Jaccard Coefficient for interactive web search. - Suthira Plansangket; John Q. Gan (Artif. Intell. Res., 2015)

A co-training algorithm based on modified Fisher's linear discriminant analysis. - Xue-Min Tan; Min-You Chen; John Q. Gan (Intell. Data Anal., 2015)

Class-specific pre-trained sparse autoencoders for learning effective features for document classification. - Maysa I. Abdulhussain; John Q. Gan (CEEC, 2016)

Multiresolution analysis over graphs for a motor imagery based online BCI game. - Javier Asensio-Cubero; John Q. Gan; Ramaswamy Palaniappan (Comput. Biol. Medicine, 2016)

Shallow convolutional neural network for eyeglasses detection in facial images. - Arwa M. Basbrain; Inas Al-Taie; Nassr Azeez; John Q. Gan; Adrian F. Clark (CEEC, 2017)

Prediction of the 2017 French election based on Twitter data analysis. - Lei Wang; John Q. Gan (CEEC, 2017)

Accuracy Enhancement of the Viola-Jones Algorithm for Thermal Face Detection. - Arwa M. Basbrain; John Q. Gan; Adrian F. Clark (ICIC (3), 2017)

Identifying Intrinsic Phase Lag in EEG Signals from the Perspective of Wilcoxon Signed-Rank Test. - Yunqiao Wu; John Q. Gan; Haixian Wang (ICONIP (3), 2017)

A Parallel Island Approach to Multiobjective Feature Selection for Brain-Computer Interfaces. - Julio Ortega 001; Dragi Kimovski; John Q. Gan; Andrés Ortiz 001; Miguel Damas (IWANN (1), 2017)

Deep Belief Networks and Multiobjective Feature Selection for BCI with Multiresolution Analysis. - Julio Ortega 001; Andrés Ortiz 001; Pedro Martín-Smith; John Q. Gan; Jesús González Peñalver (IWANN (1), 2017)

Re-ranking Google search returned web documents using document classification scores. - Suthira Plansangket; John Q. Gan (Artif. Intell. Res., 2017)

A supervised filter method for multi-objective feature selection in EEG classification based on multi-resolution analysis for BCI. - Pedro Martín-Smith; Julio Ortega 001; Javier Asensio-Cubero; John Q. Gan; Andrés Ortiz 001 (Neurocomputing, 2017)

A Neural Network Approach to Score Fusion for Emotion Recognition. - Arwa Mohammed Basbrain; John Q. Gan; Akihiro Sugimoto; Adrian F. Clark (CEEC, 2018)

Prediction of the 2017 French Election Based on Twitter Data Analysis Using Term Weighting. - Lei Wang; John Q. Gan (CEEC, 2018)

Deep Classifier Structures with Autoencoder for Higher-level Feature Extraction. - Maysa I. A. Almulla Khalaf; John Q. Gan (IJCCI, 2018)

Collective sparse symmetric non-negative matrix factorization for identifying overlapping communities in resting-state brain functional networks. - Xuan Li 001; John Q. Gan; Haixian Wang (NeuroImage, 2018)

A Kernel Partial least square based feature selection method. - Upasana Talukdar; Shyamanta M. Hazarika; John Q. Gan (Pattern Recognit., 2018)

A Rough Set Classifier Based on Discretization and Attribute Selection. - Yingjuan Sun; Dongbing Pu; Dongbing Gu; John Q. Gan; Kun Yang 001 (ICNC-FSKD, 2019)

Energy-Time Analysis of Convolutional Neural Networks Distributed on Heterogeneous Clusters for EEG Classification. - Juan José Escobar; Julio Ortega 001; Miguel Damas; Rukiye Savran Kiziltepe; John Q. Gan (IWANN (2), 2019)

Combining Very Deep Convolutional Neural Networks and Recurrent Neural Networks for Video Classification. - Rukiye Savran Kiziltepe; John Q. Gan; Juan José Escobar (IWANN (2), 2019)

A three-stage learning algorithm for deep multilayer perceptron with effective weight initialisation based on sparse auto-encoder. - Maysa Ibrahem Almulla Khalaf; John Q. Gan (Artif. Intell. Res., 2019)

A new multi-objective wrapper method for feature selection - Accuracy and stability analysis for BCI. - Jesús González 001; Julio Ortega 001; Miguel Damas; Pedro Martín-Smith; John Q. Gan (Neurocomputing, 2019)

Motor imagery and mental fatigue: inter-relationship and EEG based estimation. - Upasana Talukdar; Shyamanta M. Hazarika; John Q. Gan (J. Comput. Neurosci., 2019)

Augmentation of Small Training Data Using GANs for Enhancing the Performance of Image Classification. - Shih-Kai Hung; John Q. Gan (ICPR, 2020)

One-Shot Only Real-Time Video Classification: A Case Study in Facial Emotion Recognition. - Arwa M. Basbrain; John Q. Gan (IDEAL (1), 2020)

Simple Effective Methods for Decision-Level Fusion in Two-Stream Convolutional Neural Networks for Video Classification. - Rukiye Savran Kiziltepe; John Q. Gan (IDEAL (1), 2020)

Essex-NLIP at MediaEval Predicting Media Memorability 2020 Task. - Janadhip Jacutprakart; Rukiye Savran Kiziltepe; John Q. Gan; Giorgos Papanastasiou; Alba Garcia Seco de Herrera (MediaEval, 2020)

Hybrid approaches to feature subset selection for data classification in high-dimensional feature space. - Maysa Ibrahem Almulla Khalaf; John Q. Gan (Artif. Intell. Res., 2020)

Adaptation of Common Spatial Patterns based on mental fatigue for motor-imagery BCI. - Upasana Talukdar; Shyamanta M. Hazarika; John Q. Gan (Biomed. Signal Process. Control., 2020)

Neural networks and learning systems for human machine interfacing. - Zhaojie Ju; Jinguo Liu; Yongan Huang; Naoyuki Kubota; John Q. Gan (Neurocomputing, 2020)

Facial Image Augmentation from Sparse Line Features Using Small Training Data. - Shih-Kai Hung; John Q. Gan (IWANN (1), 2021)

Small facial image dataset augmentation using conditional GANs based on incomplete edge feature input. - Shih-Kai Hung; John Q. Gan (PeerJ Comput. Sci., 2021)

Optimization of Deep Architectures for EEG Signal Classification: An AutoML Approach Using Evolutionary Algorithms. - Diego A. Aquino Brítez; Andrés Ortiz 001; Julio Ortega 001; Javier León; Marco A. Formoso; John Q. Gan; Juan José Escobar (Sensors, 2021)

Boosting Facial Emotion Recognition by Using GANs to Augment Small Facial Expression Dataset. - Shih-Kai Hung; John Q. Gan (IJCNN, 2022)

SIA-SMOTE: A SMOTE-Based Oversampling Method with Better Interpolation on High-Dimensional Data by Using a Siamese Network. - Rahmat Izwan Heroza; John Q. Gan; Haider Raza (IWANN (1), 2023)

Multi-filter semi-supervised transformer model for fault diagnosis. - Xuemin Tan; Jun Qi; John Q. Gan; Jianglin Zhang; Chao Guo; Fu Wan; Ke Wang (Eng. Appl. Artif. Intell., 2023)

Motor Imagery EEG Classification Based on a Weighted Multi-Branch Structure Suitable for Multisubject Data. - Huiyang Wang; Jiuchuan Jiang; John Q. Gan; Haixian Wang (IEEE Trans. Biomed. Eng., 2023)

A novel keyframe extraction method for video classification using deep neural networks. - Rukiye Savran Kiziltepe; John Q. Gan; Juan José Escobar (Neural Comput. Appl., 2023)

Integrating Spatial Information into Global Context: Summary Vision Transformer (S-ViT). - Mohsin Ali; Haider Raza; John Q. Gan; Muhammad Haris (DICTA, 2024)

Enhancing Dental Diagnostics: Advanced Image Segmentation Models for Teeth Identification and Enumeration. - Mohsin Ali; Moin Hassan; Esra Konsa; John Q. Gan; Akhilanand Chaurasia; Haider Raza (MIUA (2), 2024)

Enhancing Skin Lesion Classification: A Self-Attention Fusion Approach with Vision Transformer. - Rahmat Izwan Heroza; John Q. Gan; Haider Raza (MIUA (2), 2024)

Integration of Feature and Decision Fusion With Deep Learning Architectures for Video Classification. - Rukiye Savran Kiziltepe; John Q. Gan; Juan José Escobar (IEEE Access, 2024)

An Explainable Machine Learning Approach for Age and Gender Estimation in Living Individuals Using Dental Biometrics. - Mohsin Ali; Haider Raza; John Q. Gan; Ariel Pokhojaev; Matanel Katz; Esra Kosan; Agustin Wahjuningrum; Omnina Saleh; Rachel Sarig; Akhilanada Chaurasia (CoRR, 2024)

Reliable and fast automatic artifact rejection of Long-Term EEG recordings based on Isolation Forest. - Runkai Zhang; Rong Rong; John Q. Gan; Yun Xu; Haixian Wang; Xiaoyun Wang (Medical Biol. Eng. Comput., 2024)

Optimising Vision Transformer Performance on Limited Datasets: A Multi-Gradient Approach. - Mohsin Ali; Haider Raza; John Q. Gan; Muhammad Haris (CVPR Workshops, 2025)

FedCIAL: Federated Color-Invariant Adversarial Learning for Enhancing Fairness and Performance in Skin Lesion Classification. - Rahmat Izwan Heroza; John Q. Gan; Haider Raza (CVPR Workshops, 2025)

An Interpretable Contrastive Learning Transformer for EEG-Based Person Identification. - Xinghan Shao; C. Chang; John Q. Gan; Haixian Wang (IEEE Trans. Inf. Forensics Secur., 2025)

Lightweight Source-Free Domain Adaptation Based on Adaptive Euclidean Alignment for Brain-Computer Interfaces. - Huiyang Wang; Hongfang Han; John Q. Gan; Haixian Wang (IEEE J. Biomed. Health Informatics, 2025)

Cross-Modal Epileptic Signal Harmonization: Frequency Domain Mapping Quantization for Pre-training a Unified Neurophysiological Transformer. - Runkai Zhang; Hua Yu; John Q. Gan; Haixian Wang (CoRR, 2025)