Image Processing and Modeling for Active Needle Steering in Liver Surgery. - Bing Nan Li; Binh P. Nguyen; Sim Heng Ong; Jing Qin 001; Liangjing Yang; Chee-Kong Chui (CAR, 2009)

Performance-cost analyses software for H.264 Forward/Inverse Integer Transform. - Trang T. T. Do 001; Thinh M. Le; Binh P. Nguyen; Yajun Ha (International Symposium on Rapid System Prototyping, 2010)

Prediction-based directional search for fast block-matching motion estimation. - Binh P. Nguyen; Trang T. T. Do 001; Chee-Kong Chui; Sim Heng Ong (SoICT, 2010)

Particle-based simulation of blood flow and vessel wall interactions in virtual surgery. - Jing Qin 001; Wai-Man Pang; Binh P. Nguyen; Dong Ni 001; Chee-Kong Chui (SoICT, 2010)

An efficient clustering method for fast rendering of time-varying volumetric medical data. - Zhenlan Wang; Binh P. Nguyen; Chee-Kong Chui; Jing Qin 001; Chuan-Heng Ang; Sim Heng Ong (Vis. Comput., 2010)

An efficient compression scheme for 4-D medical images using hierarchical vector quantization and motion compensation. - Binh P. Nguyen; Chee-Kong Chui; Sim Heng Ong; Stephen K. Y. Chang (Comput. Biol. Medicine, 2011)

Ant colony optimization for model predictive control for blood glucose regulation. - Yvonne Ho; Binh P. Nguyen; Chee-Kong Chui (SoICT, 2012)

Fast point quadrupling on elliptic curves. - Duc-Phong Le; Binh P. Nguyen (SoICT, 2012)

Implementation of model predictive control with modified minimal model on low-power RISC microcontrollers. - Binh P. Nguyen; Yvonne Ho; Zimei Wu; Chee-Kong Chui (SoICT, 2012)

A clustering-based system to automate transfer function design for medical image visualization. - Binh P. Nguyen; Wei-Liang Tay; Chee-Kong Chui; Sim Heng Ong (Vis. Comput., 2012)

In situ spatial AR surgical planning using projector-Kinect system. - Rong Wen; Binh P. Nguyen; Chin-Boon Chng; Chee-Kong Chui (SoICT, 2013)

Automatic transfer function design for medical visualization using visibility distributions and projective color mapping. - Lile Cai; Wei-Liang Tay; Binh P. Nguyen; Chee-Kong Chui; Sim Heng Ong (Comput. Medical Imaging Graph., 2013)

Near-Field Communication Transceiver System Modeling and Analysis Using SystemC/SystemC-AMS With the Consideration of Noise Issues. - Wei Li; Dian Zhou; Minghua Li; Binh P. Nguyen; Xuan Zeng 001 (IEEE Trans. Very Large Scale Integr. Syst., 2013)

Development of a cognitive engine for balancing automation and human control of surgical robotic system. - Chee-Kong Chui; Binh P. Nguyen; Rong Wen (URAI, 2014)

Hand gesture guided robot-assisted surgery based on a direct augmented reality interface. - Rong Wen; Wei-Liang Tay; Binh P. Nguyen; Chin-Boon Chng; Chee-Kong Chui (Comput. Methods Programs Biomed., 2014)

Publishing Graph Data with Subgraph Differential Privacy. - Binh P. Nguyen; Hoa Ngo; Jihun Kim 002; Jong Kim 001 (WISA, 2015)

Rule-Enhanced Transfer Function Generation for Medical Volume Visualization. - Lile Cai; Binh P. Nguyen; Chee-Kong Chui; Sim Heng Ong (Comput. Graph. Forum, 2015)

Robust Biometric Recognition From Palm Depth Images for Gloved Hands. - Binh P. Nguyen; Wei-Liang Tay; Chee-Kong Chui (IEEE Trans. Hum. Mach. Syst., 2015)

Automated brain tumor segmentation using kernel dictionary learning and superpixel-level features. - Xuan Chen; Binh P. Nguyen; Chee-Kong Chui; Sim Heng Ong (SMC, 2016)

Superpixel-based segmentation of muscle fibers in multi-channel microscopy. - Binh P. Nguyen; Hans Heemskerk; Peter T. C. So; Lisa Tucker-Kellogg (BMC Syst. Biol., 2016)

Comments on and corrections to 'Hardware-software co-design architecture for joint photo expert graphic XR encoder'. - Trang Thi Thu Do 001; Binh P. Nguyen (IET Image Process., 2016)

A two-level clustering approach for multidimensional transfer function specification in volume visualization. - Lile Cai; Binh P. Nguyen; Chee-Kong Chui; Sim Heng Ong (Vis. Comput., 2017)

Deep Learning Models for Tuberculosis Detection from Chest X-ray Images. - Quang H. Nguyen 001; Binh P. Nguyen; Son Duy Dao; Balagopal Unnikrishnan; Rajan Dhingra; Savitha Rani Ravichandran; Sravani Satpathy; Nirmal Raja Palaparthi; Matthew Chin Heng Chua (ICT, 2019)

Fast and Accurate Capitalization and Punctuation for Automatic Speech Recognition Using Transformer and Chunk Merging. - Binh P. Nguyen; Vu Bao Hung Nguyen; Hien Nguyen 008; Pham Ngoc Phuong; The-Loc Nguyen; Quoc Truong Do; Luong Chi Mai (O-COCOSDA, 2019)

DeLHCA: Deep transfer learning for high-content analysis of the effects of drugs on immune cells. - Shaista Hussain; Ankit Das; Binh P. Nguyen; Mardiana Marzuki; Shuping Lin; Arun Kumar 006; Graham Wright; Amit Singhal 003 (TENCON, 2019)

iProDNA-CapsNet: identifying protein-DNA binding residues using capsule neural networks. - Binh P. Nguyen; Quang H. Nguyen 001; Giang-Nam Doan-Ngoc; Thanh-Hoang Nguyen-Vo; Susanto Rahardja (BMC Bioinform., 2019)

Predicting the onset of type 2 diabetes using wide and deep learning with electronic health records. - Binh P. Nguyen; Hung N. Pham; Hop Tran; Nhung Nghiem; Quang H. Nguyen 001; Trang T. T. Do 001; Cao Truong Tran; Colin R. Simpson (Comput. Methods Programs Biomed., 2019)

The Mediating Role of Perceived Value in the Effect of Multi-Dimensional Risk in Mobile Banking. - Long Pham; Stan Williamson; Cyrus Mohebbi; Binh P. Nguyen; Hien Nguyen (Int. J. Enterp. Inf. Syst., 2019)

Physiological Signal Analysis and Classification of Stress from Virtual Reality Video Game. - Syem Ishaque; Alice Rueda; Binh P. Nguyen; Naimul Mefraz Khan; Sridhar Krishnan 001 (EMBC, 2020)

Automated Grading in Diabetic Retinopathy Using Image Processing and Modified EfficientNet. - Hung N. Pham; Renjie Tan; Yu Tian Cai; Shahril Mustafa; Ngan Chong Yeo; Hui Juin Lim; Trang T. T. Do 001; Binh P. Nguyen; Matthew Chin Heng Chua (ICCCI, 2020)

Video-based Skeletal Feature Extraction for Hand Gesture Recognition. - Kim Chwee Lim; Swee Heng Sin; Chien Wei Lee; Weng Khin Chin; Junliang Lin; Khang Nguyen; Quang H. Nguyen 001; Binh P. Nguyen; Matthew Chua 001 (ICMLSC, 2020)

Diabetic Retinopathy Detection using Deep Learning. - Quang H. Nguyen 001; Ramasamy Muthuraman; Laxman Singh; Gopa Sen; Anh Cuong Tran; Binh P. Nguyen; Matthew Chin Heng Chua (ICMLSC, 2020)

Churn Prediction using Ensemble Learning. - Xing Wang; Khang Nguyen; Binh P. Nguyen (ICMLSC, 2020)

High-content image generation for drug discovery using generative adversarial networks. - Shaista Hussain; Ayesha Anees; Ankit Das; Binh P. Nguyen; Mardiana Marzuki; Shuping Lin; Graham Wright; Amit Singhal 003 (Neural Networks, 2020)

Heart Disease Classification using Novel Heterogeneous Ensemble. - Khang Nguyen; Jerome Wei Yang Lim; Kuo Ping Lee; Terry Lin; Jing Tian 002; Trang T. T. Do 001; Matthew Chin Heng Chua; Binh P. Nguyen (BHI, 2021)

Clustering and Feature Analysis of Smartphone Data for Depression Monitoring. - Binh P. Nguyen; Sharadha Kolappan; Venkat Bhat; Sridhar Krishnan 001 (EMBC, 2021)

Feature Analysis and Hierarchical Classification of Anxiety Severity during early COVID-19. - Binh P. Nguyen; Michael Nigro; Alice Rueda; Sharadha Kolappan; Venkat Bhat; Sridhar Krishnan 001 (EMBC, 2021)

Stacking segment-based CNN with SVM for recognition of atrial fibrillation from single-lead ECG recordings. - Quang H. Nguyen 001; Binh P. Nguyen; Trung B. Nguyen; Trang T. T. Do 001; James F. Mbinta; Colin R. Simpson (Biomed. Signal Process. Control., 2021)

Robo-advisor using genetic algorithm and BERT sentiments from tweets for hybrid portfolio optimisation. - Edmund Kwong Wei Leow; Binh P. Nguyen; Matthew Chin Heng Chua (Expert Syst. Appl., 2021)

Prediction of FMN Binding Sites in Electron Transport Chains Based on 2-D CNN and PSSM Profiles. - Nguyen-Quoc-Khanh Le; Binh P. Nguyen (IEEE ACM Trans. Comput. Biol. Bioinform., 2021)

Implementation and Analysis of Centroid Displacement-Based k-Nearest Neighbors. - Alex X. Wang; Stefanka S. Chukova; Binh P. Nguyen (ADMA (1), 2022)

Multi-level Community-awareness Graph Neural Networks for Neural Machine Translation. - Binh P. Nguyen; Long H. B. Nguyen; Dien Dinh (COLING, 2022)

A lightweight classification of adaptor proteins using transformer networks. - Sylwan Rahardja; Mou Wang; Binh P. Nguyen; Pasi Fränti; Susanto Rahardja (BMC Bioinform., 2022)

Bone age assessment and sex determination using transfer learning. - Quang H. Nguyen 001; Binh P. Nguyen; Minh T. Nguyen; Matthew Chua 001; Trang T. T. Do 001; Nhung Nghiem (Expert Syst. Appl., 2022)

Digital phenotyping for classification of anxiety severity during COVID-19. - Binh P. Nguyen; Martin Ivanov; Venkat Bhat; Sri Krishnan (Frontiers Digit. Health, 2022)

Predicting Antimalarial Activity in Natural Products Using Pretrained Bidirectional Encoder Representations from Transformers. - Thanh-Hoang Nguyen-Vo; Quang H. Trinh; Loc Nguyen; Trang T. T. Do 001; Matthew Chin Heng Chua; Binh P. Nguyen (J. Chem. Inf. Model., 2022)

iCYP-MFE: Identifying Human Cytochrome P450 Inhibitors Using Multitask Learning and Molecular Fingerprint-Embedded Encoding. - Thanh-Hoang Nguyen-Vo; Quang H. Trinh; Loc Nguyen; Phuong-Uyen Nguyen-Hoang; Thien-Ngan Nguyen; Dung T. Nguyen; Binh P. Nguyen; Ly Le (J. Chem. Inf. Model., 2022)

iANP-EC: Identifying Anticancer Natural Products Using Ensemble Learning Incorporated with Evolutionary Computation. - Loc Nguyen; Thanh-Hoang Nguyen-Vo; Quang H. Trinh; Bach Hoai Nguyen; Phuong-Uyen Nguyen-Hoang; Ly Le; Binh P. Nguyen (J. Chem. Inf. Model., 2022)

PhraseAttn: Dynamic Slot Capsule Networks for phrase representation in Neural Machine Translation. - Binh P. Nguyen; Binh Le; Long H. B. Nguyen; Dien Dinh (J. Intell. Fuzzy Syst., 2022)

Digital Interventions to Reduce Distress Among Frontline Health Care Providers: Analysis of Self-Perceived Stress. - Binh P. Nguyen; Andrei B. B. Torres; Alice Rueda; Walter Sim; Douglas M. Campbell; Wendy Lou; Bill Kapralos; Lindsay Beavers; Adam Dubrowski; Venkat Bhat; Sridhar Krishnan 001 (EMBC, 2023)

Digital Phenotype Representation by Statistical, Information Theory, Data-Driven Approach with Digital Health Data. - Binh P. Nguyen; Michael Nigro; Alice Rueda; Venkat Bhat; Sridhar Krishnan 001 (ICASSP, 2023)

iR6mA-RNN: Identifying N6-Methyladenosine Sites in Eukaryotic Transcriptomes using Recurrent Neural Networks and Sequence-embedded Features. - Binh P. Nguyen; Thanh-Hoang Nguyen-Vo; Loc Nguyen; Quang H. Trinh; Chalinor Baliuag; Trang T. T. Do 001; Susanto Rahardja (SSP, 2023)

Data-centric AI to Improve Early Detection of Mental Illness. - Alex X. Wang; Stefanka S. Chukova; Colin R. Simpson; Binh P. Nguyen (SSP, 2023)

Ensemble k-nearest neighbors based on centroid displacement. - Alex X. Wang; Stefanka S. Chukova; Binh P. Nguyen (Inf. Sci., 2023)

Development of a data-driven digital phenotype profile of distress experience of healthcare workers during COVID-19 pandemic. - Binh P. Nguyen; Andrei B. B. Torres; Caroline W. Espinola; Walter Sim; Deborah Kenny; Douglas M. Campbell; Wendy Lou; Bill Kapralos; Lindsay Beavers; Elizabeth Peter; Adam Dubrowski; Sridhar Krishnan 001; et al. (Comput. Methods Programs Biomed., 2023)

Synthetic minority oversampling using edited displacement-based k-nearest neighbors. - Alex X. Wang; Stefanka S. Chukova; Binh P. Nguyen (Appl. Soft Comput., 2023)

Early Detection of Depression Using Machine Learning and Social Well-Being Survey Data. - Alex X. Wang; Binh P. Nguyen; Tom Elliott; James F. Mbinta; Andrew Sporle; Colin R. Simpson (ICCAE, 2024)

Enhancing Data Governance through Data-Centric AI: Case Study in New Zealand Government Sector. - Alex X. Wang; Colin R. Simpson; Binh P. Nguyen (ICCAE, 2024)

Hierarchical Federated Learning in MEC Networks with Knowledge Distillation. - Tuan Dung Nguyen; Ngoc Anh Tong; Binh P. Nguyen; Quoc Viet Hung Nguyen; Phi Le Nguyen; Thanh Trung Huynh (IJCNN, 2024)

A Contrastive Learning and Graph-based Approach for Missing Modalities in Multimodal Federated Learning. - Thu Hang Phung; Binh P. Nguyen; Thanh Hung Nguyen; Quoc Viet Hung Nguyen; Phi Le Nguyen; Thanh Trung Huynh (IJCNN, 2024)

i6mA-CNN: A Web-based System to Identify DNA N6-Methyladenine Sites in Mouse Genomes. - Thanh-Hoang Nguyen-Vo; Susanto Rahardja; Binh P. Nguyen (ISCAS, 2024)

AI Framework for Detecting Lordosis-Kyphosis-Scoliosis in Salmon X-Rays. - Loc Nguyen; Seumas P. Walker; Jane E. Symonds; Binh P. Nguyen (IVCNZ, 2024)

Comparison of Hand-Crafted and Deep Features Towards Explainable AI at the Edge for Analysis of Audio Scenes. - Michael Nigro; Binh P. Nguyen; Sridhar Krishnan 001 (MLSP, 2024)

Identifying Nephrotoxicity of Small Molecules Using Machine Learning. - Thanh-Hoang Nguyen-Vo; Linh Bui; Trang T. T. Do 001; Susanto Rahardja; Binh P. Nguyen (TENCON, 2024)

Comparative Analysis of Oversampling Techniques and Deep Learning for Imbalanced Tabular Data. - Alex X. Wang; Colin R. Simpson; Binh P. Nguyen (TENCON, 2024)

Aerial Data Exploration: An in-Depth Study From Horizontal to Oriented Viewpoint. - Nguyen D. Vo; Huong-Giang Ngo; Toan Le; Quang Nguyen; Danh-Du Doan; Binh P. Nguyen; Do Le-Huu; Nguyen Le-Duy; Huy Tran; Khanh-Duy Nguyen; Khang Nguyen 001 (IEEE Access, 2024)

Challenges and opportunities of generative models on tabular data. - Alex X. Wang; Stefanka S. Chukova; Colin R. Simpson; Binh P. Nguyen (Appl. Soft Comput., 2024)

Adaptive edge prior-based deep attention residual network for low-dose CT image denoising. - Tong Wu; Peizhao Li; Jie Sun; Binh P. Nguyen (Biomed. Signal Process. Control., 2024)

Random subspace ensemble for directly classifying high-dimensional incomplete data. - Cao Truong Tran; Binh P. Nguyen (Evol. Intell., 2024)

From SMILES to Enhanced Molecular Property Prediction: A Unified Multimodal Framework with Predicted 3D Conformers and Contrastive Learning Techniques. - Long D. Nguyen; Quang H. Nguyen 001; Quang H. Trinh; Binh P. Nguyen (J. Chem. Inf. Model., 2024)

Multitask Learning on Graph Convolutional Residual Neural Networks for Screening of Multitarget Anticancer Compounds. - Thanh-Hoang Nguyen-Vo; Trang T. T. Do 001; Binh P. Nguyen (J. Chem. Inf. Model., 2024)

Predicting Cardiotoxicity of Molecules Using Attention-Based Graph Neural Networks. - Tuan Vinh; Loc Nguyen; Quang H. Trinh; Thanh-Hoang Nguyen-Vo; Binh P. Nguyen (J. Chem. Inf. Model., 2024)

Enhancing public research on citizen data: An empirical investigation of data synthesis using Statistics New Zealand's Integrated Data Infrastructure. - Alex X. Wang; Stefanka S. Chukova; Andrew Sporle; Barry J. Milne; Colin R. Simpson; Binh P. Nguyen (Inf. Process. Manag., 2024)

ResGAT: Residual Graph Attention Networks for molecular property prediction. - Thanh-Hoang Nguyen-Vo; Trang T. T. Do 001; Binh P. Nguyen (Memetic Comput., 2024)

Molecular representations in bio-cheminformatics. - Thanh-Hoang Nguyen-Vo; Paul Teesdale-Spittle; Joanne E. Harvey; Binh P. Nguyen (Memetic Comput., 2024)

Generative AI for Tabular Data Synthesis. - Alex X. Wang; Binh P. Nguyen; Colin R. Simpson (PAKDD (4), 2025)

TTVAE: Transformer-based generative modeling for tabular data generation. - Alex X. Wang; Binh P. Nguyen (Artif. Intell., 2025)

Addressing imbalance in health data: Synthetic minority oversampling using deep learning. - Alex X. Wang; Viet-Tuan Le; Hau Nguyen Trung; Binh P. Nguyen (Comput. Biol. Medicine, 2025)

Blending is all you need: Data-centric ensemble synthetic data. - Alex X. Wang; Colin R. Simpson; Binh P. Nguyen (Inf. Sci., 2025)

Deterministic Autoencoder using Wasserstein loss for tabular data generation. - Alex X. Wang; Binh P. Nguyen (Neural Networks, 2025)

CTVAE: Contrastive Tabular Variational Autoencoder for imbalance data. - Alex X. Wang; Minh Quang Le; Huu-Thanh Duong; Bay Nguyen Van; Binh P. Nguyen (Knowl. Inf. Syst., 2025)

AIM: an accurate and explainable model for ATAC to GEX translation and pathway analysis. - Quang H. Nguyen; Hoang V. Tran; Huu Tien Nguyen; Phuong T. M. Le; Phi Le Nguyen; Binh P. Nguyen (Memetic Comput., 2025)