| 2025 | CVPR | Optimising Vision Transformer Performance on Limited Datasets: A Multi-Gradient Approach. | Mohsin Ali, Haider Raza, John Q. Gan, Muhammad Haris |
| 2025 | CVPR | FedCIAL: Federated Color-Invariant Adversarial Learning for Enhancing Fairness and Performance in Skin Lesion Classification. | Rahmat Izwan Heroza, John Q. Gan, Haider Raza |
| 2024 | DICTA | Integrating Spatial Information into Global Context: Summary Vision Transformer (S-ViT). | Mohsin Ali, Haider Raza, John Q. Gan, Muhammad Haris |
| 2023 | IWANN | 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 |
| 2022 | IJCNN | Boosting Facial Emotion Recognition by Using GANs to Augment Small Facial Expression Dataset. | Shih-Kai Hung, John Q. Gan |
| 2021 | IWANN | Facial Image Augmentation from Sparse Line Features Using Small Training Data. | Shih-Kai Hung, John Q. Gan |
| 2020 | ICPR | Augmentation of Small Training Data Using GANs for Enhancing the Performance of Image Classification. | Shih-Kai Hung, John Q. Gan |
| 2020 | IDEAL | One-Shot Only Real-Time Video Classification: A Case Study in Facial Emotion Recognition. | Arwa M. Basbrain, John Q. Gan |
| 2020 | IDEAL | Simple Effective Methods for Decision-Level Fusion in Two-Stream Convolutional Neural Networks for Video Classification. | Rukiye Savran Kiziltepe, John Q. Gan |
| 2019 | ICNC | A Rough Set Classifier Based on Discretization and Attribute Selection. | Yingjuan Sun, Dongbing Pu, Dongbing Gu, John Q. Gan, Kun Yang |
| 2019 | IWANN | Energy-Time Analysis of Convolutional Neural Networks Distributed on Heterogeneous Clusters for EEG Classification. | Juan Jos Escobar, Julio Ortega, Miguel Damas, Rukiye Savran Kiziltepe, John Q. Gan |
| 2019 | IWANN | Combining Very Deep Convolutional Neural Networks and Recurrent Neural Networks for Video Classification. | Rukiye Savran Kiziltepe, John Q. Gan, Juan Jos Escobar |
| 2018 | IJCCI | Deep Classifier Structures with Autoencoder for Higher-level Feature Extraction. | Maysa I. A. Almulla Khalaf, John Q. Gan |
| 2017 | ICONIP | Identifying Intrinsic Phase Lag in EEG Signals from the Perspective of Wilcoxon Signed-Rank Test. | Yunqiao Wu, John Q. Gan, Haixian Wang |
| 2017 | IWANN | A Parallel Island Approach to Multiobjective Feature Selection for Brain-Computer Interfaces. | Julio Ortega, Dragi Kimovski, John Q. Gan, Andrs Ortiz, Miguel Damas |
| 2017 | IWANN | Deep Belief Networks and Multiobjective Feature Selection for BCI with Multiresolution Analysis. | Julio Ortega, Andrs Ortiz, Pedro Martn-Smith, John Q. Gan, Jess Gonzlez Pealver |
| 2015 | IWANN | A Label-Aided Filter Method for Multi-objective Feature Selection in EEG Classification for BCI. | Pedro Martn-Smith, Julio Ortega Lopera, Javier Asensio-Cubero, John Q. Gan, Andrs Ortiz |
| 2014 | IC3K | Performance Evaluation of State-of-the-Art Ranked Retrieval Methods and Their Combinations for Query Suggestion. | Suthira Plansangket, John Q. Gan |
| 2014 | ISNN | CSP-Based EEG Analysis on Dissociated Brain Organization for Single-Digit Addition and Multiplication. | Lihan Wang, John Q. Gan, Haixian Wang |
| 2013 | BIBE | Performance analysis of multi-frequency SSVEP-BCI using clear and frosted colour LED stimuli. | Surej Mouli, Ramaswamy Palaniappan, Ian P. Sillitoe, John Q. Gan |
| 2013 | ICONIP | EEG-Based Cortical Localization of Neural Efficiency Related to Mathematical Giftedness. | Li Zhang, Haixian Wang, John Q. Gan |
| 2012 | CEC | Continuous presentation for multi-objective channel selection in Brain-Computer Interfaces. | Noura Al Moubayed, Bashar Awwad Shiekh Hasan, John Q. Gan, Andrei Petrovski, John A. W. McCall |
| 2011 | IDEAL | A Hybrid Approach to Feature Subset Selection for Brain-Computer Interface Design. | John Q. Gan, Bashar Awwad Shiekh Hasan, Chun Sing Louis Tsui |
| 2010 | CEC | Multi-objective evolutionary methods for channel selection in Brain-Computer Interfaces: Some preliminary experimental results. | Bashar Awwad Shiekh Hasan, John Q. Gan, Qingfu Zhang |
| 2008 | IDEAL | Adaptive Classification by Hybrid EKF with Truncated Filtering: Brain Computer Interfacing. | Ji Won Yoon, Stephen J. Roberts, Matthew Dyson, John Q. Gan |
| 2007 | IDEAL | Asynchronous BCI Control of a Robot Simulator with Supervised Online Training. | Chun Sing Louis Tsui, John Q. Gan |
| 2005 | CIS | An Incremental Updating Method for Clustering-Based High-Dimensional Data Indexing. | Ben Wang, John Q. Gan |
| 2005 | IROS | 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 |
| 2004 | IJCNN | Improving the interpretability of Takagi-Sugeno fuzzy model by using linguistic modifiers and a multiple objective learning scheme. | Shang-Ming Zhou, John Q. Gan |
| 2004 | IDEAL | Integration of Projected Clusters and Principal Axis Trees for High-Dimensional Data Indexing and Query. | Ben Wang, John Q. Gan |
| 2004 | IDEAL | Mercer Kernel, Fuzzy C-Means Algorithm, and Prototypes of Clusters. | Shang-Ming Zhou, John Q. Gan |