Binh P. Nguyen

95 papers A* 2B 5C 7Misc 3Journal 50Unranked 28
YearRankTypeTitle / Venue / Authors
2026 J jnl
Edge-updating graph neural networks for modeling feature interactions in tabular data.
Neural Networks
Pimwipa Charuthamrong, Colin R. Simpson, Binh P. Nguyen
2026 J jnl
MAGPrompt: Message-Adaptive Graph Prompt Tuning for Graph Neural Networks.
CoRR
Long D. Nguyen, Binh P. Nguyen
2026 J jnl
MEHC-Curation: A Python Framework for High-Quality Molecular Data Set Curation.
J. Chem. Inf. Model.
Trong-Chinh Pham, Nhat-Anh Nguyen-Dang, Thanh-Hoang Nguyen-Vo, Binh P. Nguyen
2026 A* conf
TTVAE: Transformer-Based Generative Modeling for Tabular Data Generation (Abstract Reprint).
AAAI
Alex X. Wang, Binh P. Nguyen
2026 J jnl
Topology-Aware Multiscale Mixture of Experts for Efficient Molecular Property Prediction.
CoRR
Long D. Nguyen, Kelin Xia, Binh P. Nguyen
2025 J jnl
AIM: an accurate and explainable model for ATAC to GEX translation and pathway analysis.
Memetic Comput.
Quang H. Nguyen, Hoang V. Tran, Huu Tien Nguyen, Phuong T. M. Le, Phi Le Nguyen, Binh P. Nguyen
2025 J jnl
Addressing imbalance in health data: Synthetic minority oversampling using deep learning.
Comput. Biol. Medicine
Alex X. Wang, Viet-Tuan Le, Hau Nguyen Trung, Binh P. Nguyen
2025 J jnl
Blending is all you need: Data-centric ensemble synthetic data.
Inf. Sci.
Alex X. Wang, Colin R. Simpson, Binh P. Nguyen
2025 J jnl
CTVAE: Contrastive Tabular Variational Autoencoder for imbalance data.
Knowl. Inf. Syst.
Alex X. Wang, Minh Quang Le, Huu-Thanh Duong, Bay Nguyen Van, Binh P. Nguyen
2025 J jnl
Deterministic Autoencoder using Wasserstein loss for tabular data generation.
Neural Networks
Alex X. Wang, Binh P. Nguyen
2025 — conf
Differential Evolutionary for Label Ordering in Multi-label Classification.
ADMA (4)
Bach Hoai Nguyen, Binh P. Nguyen, Vinh Truong Hoang, Viet-Tuan Le
2025 C conf
GSDeep-DTA: A Hybrid Graph and Sequence-based Deep Learning Framework for Robust Drug-Target Affinity Prediction.
CIBCB
W. G. D. M. Samankula, Joanne Harvey, Binh P. Nguyen
2025 — conf
Generative AI for Tabular Data Synthesis.
PAKDD (4)
Alex X. Wang, Binh P. Nguyen, Colin R. Simpson
2025 A* conf
MolHFCNet: Enhancing Molecular Graph Representations with Hierarchical Feature Combining and Hybrid Pretraining.
IJCAI
Duy-Long Nguyen, Duc-Luong Ho-Viet, Anh-Thu Ngo-Tran, Quang H. Nguyen, Binh P. Nguyen
2025 J jnl
TTVAE: Transformer-based generative modeling for tabular data generation.
Artif. Intell.
Alex X. Wang, Binh P. Nguyen
2025 — conf
Unleashing SAM for Few-Shot Medical Image Segmentation with Dual-Encoder and Automated Prompting.
MICCAI (6)
Cuong M. Pham, Phi Le Nguyen, Thanh Trung Nguyen, Vu Minh Hieu Phan, Binh P. Nguyen
2025 C conf
iACP-KAN: Identifying Anticancer Peptides using Kolmogorov-Arnold Network.
CIBCB
Thanh-Hoang Nguyen-Vo, Zheng Li, Quang H. Trinh, Huu-Thanh Duong, Trang T. T. Do, Binh P. Nguyen
2024 B conf
A Contrastive Learning and Graph-based Approach for Missing Modalities in Multimodal Federated Learning.
IJCNN
Thu Hang Phung, Binh P. Nguyen, Thanh Hung Nguyen, Quoc Viet Hung Nguyen, Phi Le Nguyen, Thanh Trung Huynh
2024 Misc conf
AI Framework for Detecting Lordosis-Kyphosis-Scoliosis in Salmon X-Rays.
IVCNZ
Loc Nguyen, Seumas P. Walker, Jane E. Symonds, Binh P. Nguyen
2024 J jnl
Adaptive edge prior-based deep attention residual network for low-dose CT image denoising.
Biomed. Signal Process. Control.
Tong Wu, Peizhao Li, Jie Sun, Binh P. Nguyen
2024 J jnl
Aerial Data Exploration: An in-Depth Study From Horizontal to Oriented Viewpoint.
IEEE Access
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
2024 — conf
An Effective Ensemble Deep Learning Framework for Blood-brain Barrier Permeability Prediction.
CAI
Thanh-Hoang Nguyen-Vo, Trang T. T. Do, Binh P. Nguyen
2024 J jnl
Challenges and opportunities of generative models on tabular data.
Appl. Soft Comput.
Alex X. Wang, Stefanka S. Chukova, Colin R. Simpson, Binh P. Nguyen
2024 C conf
Comparative Analysis of Oversampling Techniques and Deep Learning for Imbalanced Tabular Data.
TENCON
Alex X. Wang, Colin R. Simpson, Binh P. Nguyen
2024 — conf
Comparison of Hand-Crafted and Deep Features Towards Explainable AI at the Edge for Analysis of Audio Scenes.
MLSP
Michael Nigro, Binh P. Nguyen, Sridhar Krishnan
2024 — conf
Early Detection of Depression Using Machine Learning and Social Well-Being Survey Data.
ICCAE
Alex X. Wang, Binh P. Nguyen, Tom Elliott, James F. Mbinta, Andrew Sporle, Colin R. Simpson
2024 — conf
Enhancing Data Governance through Data-Centric AI: Case Study in New Zealand Government Sector.
ICCAE
Alex X. Wang, Colin R. Simpson, Binh P. Nguyen
2024 J jnl
Enhancing public research on citizen data: An empirical investigation of data synthesis using Statistics New Zealand's Integrated Data Infrastructure.
Inf. Process. Manag.
Alex X. Wang, Stefanka S. Chukova, Andrew Sporle, Barry J. Milne, Colin R. Simpson, Binh P. Nguyen
2024 J jnl
From SMILES to Enhanced Molecular Property Prediction: A Unified Multimodal Framework with Predicted 3D Conformers and Contrastive Learning Techniques.
J. Chem. Inf. Model.
Long D. Nguyen, Quang H. Nguyen, Quang H. Trinh, Binh P. Nguyen
2024 B conf
Hierarchical Federated Learning in MEC Networks with Knowledge Distillation.
IJCNN
Tuan Dung Nguyen, Ngoc Anh Tong, Binh P. Nguyen, Quoc Viet Hung Nguyen, Phi Le Nguyen, Thanh Trung Huynh
2024 C conf
Identifying Nephrotoxicity of Small Molecules Using Machine Learning.
TENCON
Thanh-Hoang Nguyen-Vo, Linh Bui, Trang T. T. Do, Susanto Rahardja, Binh P. Nguyen
2024 J jnl
Molecular representations in bio-cheminformatics.
Memetic Comput.
Thanh-Hoang Nguyen-Vo, Paul Teesdale-Spittle, Joanne E. Harvey, Binh P. Nguyen
2024 J jnl
Multitask Learning on Graph Convolutional Residual Neural Networks for Screening of Multitarget Anticancer Compounds.
J. Chem. Inf. Model.
Thanh-Hoang Nguyen-Vo, Trang T. T. Do, Binh P. Nguyen
2024 J jnl
Predicting Cardiotoxicity of Molecules Using Attention-Based Graph Neural Networks.
J. Chem. Inf. Model.
Tuan Vinh, Loc Nguyen, Quang H. Trinh, Thanh-Hoang Nguyen-Vo, Binh P. Nguyen
2024 J jnl
Random subspace ensemble for directly classifying high-dimensional incomplete data.
Evol. Intell.
Cao Truong Tran, Binh P. Nguyen
2024 J jnl
ResGAT: Residual Graph Attention Networks for molecular property prediction.
Memetic Comput.
Thanh-Hoang Nguyen-Vo, Trang T. T. Do, Binh P. Nguyen
2024 C conf
i6mA-CNN: A Web-based System to Identify DNA N
ISCAS
Thanh-Hoang Nguyen-Vo, Susanto Rahardja, Binh P. Nguyen
2023 J jnl
Correction: A lightweight classification of adaptor proteins using transformer networks.
BMC Bioinform.
Sylwan Rahardja, Mou Wang, Binh P. Nguyen, Pasi Fränti, Susanto Rahardja
2023 — conf
Data-centric AI to Improve Early Detection of Mental Illness.
SSP
Alex X. Wang, Stefanka S. Chukova, Colin R. Simpson, Binh P. Nguyen
2023 J jnl
Development of a data-driven digital phenotype profile of distress experience of healthcare workers during COVID-19 pandemic.
Comput. Methods Programs Biomed.
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, Venkat Bhat
2023 — conf
Digital Interventions to Reduce Distress Among Frontline Health Care Providers: Analysis of Self-Perceived Stress.
EMBC
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
2023 Misc conf
Digital Phenotype Representation by Statistical, Information Theory, Data-Driven Approach with Digital Health Data.
ICASSP
Binh P. Nguyen, Michael Nigro, Alice Rueda, Venkat Bhat, Sridhar Krishnan
2023 J jnl
Ensemble
Inf. Sci.
Alex X. Wang, Stefanka S. Chukova, Binh P. Nguyen
2023 J jnl
Synthetic minority oversampling using edited displacement-based k-nearest neighbors.
Appl. Soft Comput.
Alex X. Wang, Stefanka S. Chukova, Binh P. Nguyen
2023 — conf
iR6mA-RNN: Identifying N6-Methyladenosine Sites in Eukaryotic Transcriptomes using Recurrent Neural Networks and Sequence-embedded Features.
SSP
Binh P. Nguyen, Thanh-Hoang Nguyen-Vo, Loc Nguyen, Quang H. Trinh, Chalinor Baliuag, Trang T. T. Do, Susanto Rahardja
2022 J jnl
A lightweight classification of adaptor proteins using transformer networks.
BMC Bioinform.
Sylwan Rahardja, Mou Wang, Binh P. Nguyen, Pasi Fränti, Susanto Rahardja
2022 J jnl
Bone age assessment and sex determination using transfer learning.
Expert Syst. Appl.
Quang H. Nguyen, Binh P. Nguyen, Minh T. Nguyen, Matthew Chua, Trang T. T. Do, Nhung Nghiem
2022 J jnl
Digital phenotyping for classification of anxiety severity during COVID-19.
Frontiers Digit. Health
Binh P. Nguyen, Martin Ivanov, Venkat Bhat, Sri Krishnan
2022 — conf
Implementation and Analysis of Centroid Displacement-Based k-Nearest Neighbors.
ADMA (1)
Alex X. Wang, Stefanka S. Chukova, Binh P. Nguyen
2022 B conf
Multi-level Community-awareness Graph Neural Networks for Neural Machine Translation.
COLING
Binh P. Nguyen, Long Nguyen, Dien Dinh
2022 J jnl
PhraseAttn: Dynamic Slot Capsule Networks for phrase representation in Neural Machine Translation.
J. Intell. Fuzzy Syst.
Binh P. Nguyen, Binh Le, Long H. B. Nguyen, Dien Dinh
2022 J jnl
Predicting Antimalarial Activity in Natural Products Using Pretrained Bidirectional Encoder Representations from Transformers.
J. Chem. Inf. Model.
Thanh-Hoang Nguyen-Vo, Quang H. Trinh, Loc Nguyen, Trang T. T. Do, Matthew Chin Heng Chua, Binh P. Nguyen
2022 J jnl
iANP-EC: Identifying Anticancer Natural Products Using Ensemble Learning Incorporated with Evolutionary Computation.
J. Chem. Inf. Model.
Loc Nguyen, Thanh-Hoang Nguyen-Vo, Quang H. Trinh, Bach Hoai Nguyen, Phuong-Uyen Nguyen-Hoang, Ly Le, Binh P. Nguyen
2022 J jnl
iCYP-MFE: Identifying Human Cytochrome P450 Inhibitors Using Multitask Learning and Molecular Fingerprint-Embedded Encoding.
J. Chem. Inf. Model.
Thanh-Hoang Nguyen-Vo, Quang H. Trinh, Loc Nguyen, Phuong-Uyen Nguyen-Hoang, Thien-Ngan Nguyen, Dung T. Nguyen, Binh P. Nguyen, Ly Le
2021 — conf
Clustering and Feature Analysis of Smartphone Data for Depression Monitoring.
EMBC
Binh P. Nguyen, Sharadha Kolappan, Venkat Bhat, Sridhar Krishnan
2021 — conf
Feature Analysis and Hierarchical Classification of Anxiety Severity during early COVID-19.
EMBC
Binh P. Nguyen, Michael Nigro, Alice Rueda, Sharadha Kolappan, Venkat Bhat, Sridhar Krishnan
2021 — conf
Heart Disease Classification using Novel Heterogeneous Ensemble.
BHI
Khang Nguyen, Jerome Wei Yang Lim, Kuo Ping Lee, Terry Lin, Jing Tian, Trang T. T. Do, Matthew Chin Heng Chua, Binh P. Nguyen
2021 J jnl
Prediction of FMN Binding Sites in Electron Transport Chains Based on 2-D CNN and PSSM Profiles.
IEEE ACM Trans. Comput. Biol. Bioinform.
Nguyen-Quoc-Khanh Le, Binh P. Nguyen
2021 J jnl
Robo-advisor using genetic algorithm and BERT sentiments from tweets for hybrid portfolio optimisation.
Expert Syst. Appl.
Edmund Kwong Wei Leow, Binh P. Nguyen, Matthew Chin Heng Chua
2021 J jnl
Stacking segment-based CNN with SVM for recognition of atrial fibrillation from single-lead ECG recordings.
Biomed. Signal Process. Control.
Quang H. Nguyen, Binh P. Nguyen, Trung B. Nguyen, Trang T. T. Do, James F. Mbinta, Colin R. Simpson
2020 B conf
Automated Grading in Diabetic Retinopathy Using Image Processing and Modified EfficientNet.
ICCCI
Hung N. Pham, Renjie Tan, Yu Tian Cai, Shahril Mustafa, Ngan Chong Yeo, Hui Juin Lim, Trang T. T. Do, Binh P. Nguyen, Matthew Chin Heng Chua
2020 — conf
Churn Prediction using Ensemble Learning.
ICMLSC
Xing Wang, Khang Nguyen, Binh P. Nguyen
2020 — conf
Diabetic Retinopathy Detection using Deep Learning.
ICMLSC
Quang H. Nguyen, Ramasamy Muthuraman, Laxman Singh, Gopa Sen, Anh Cuong Tran, Binh P. Nguyen, Matthew Chin Heng Chua
2020 J jnl
High-content image generation for drug discovery using generative adversarial networks.
Neural Networks
Shaista Hussain, Ayesha Anees, Ankit Das, Binh P. Nguyen, Mardiana Marzuki, Shuping Lin, Graham Wright, Amit Singhal
2020 — conf
Physiological Signal Analysis and Classification of Stress from Virtual Reality Video Game.
EMBC
Syem Ishaque, Alice Rueda, Binh P. Nguyen, Naimul Mefraz Khan, Sridhar Krishnan
2020 — conf
Video-based Skeletal Feature Extraction for Hand Gesture Recognition.
ICMLSC
Kim Chwee Lim, Swee Heng Sin, Chien Wei Lee, Weng Khin Chin, Junliang Lin, Khang Nguyen, Quang H. Nguyen, Binh P. Nguyen, Matthew Chua
2019 C conf
DeLHCA: Deep transfer learning for high-content analysis of the effects of drugs on immune cells.
TENCON
Shaista Hussain, Ankit Das, Binh P. Nguyen, Mardiana Marzuki, Shuping Lin, Arun Kumar, Graham Wright, Amit Singhal
2019 — conf
Deep Learning Models for Tuberculosis Detection from Chest X-ray Images.
ICT
Quang H. Nguyen, Binh P. Nguyen, Son Duy Dao, Balagopal Unnikrishnan, Rajan Dhingra, Savitha Rani Ravichandran, Sravani Satpathy, Nirmal Raja Palaparthi, Matthew Chin Heng Chua
2019 — conf
Fast and Accurate Capitalization and Punctuation for Automatic Speech Recognition Using Transformer and Chunk Merging.
O-COCOSDA
Binh P. Nguyen, Vu Bao Hung Nguyen, Hien Nguyen, Pham Ngoc Phuong, The-Loc Nguyen, Quoc Truong Do, Luong Chi Mai
2019 J jnl
Fast and Accurate Capitalization and Punctuation for Automatic Speech Recognition Using Transformer and Chunk Merging.
CoRR
Binh P. Nguyen, Vu Bao Hung Nguyen, Hien Nguyen, Pham Ngoc Phuong, The-Loc Nguyen, Quoc Truong Do, Luong Chi Mai
2019 J jnl
Predicting the onset of type 2 diabetes using wide and deep learning with electronic health records.
Comput. Methods Programs Biomed.
Binh P. Nguyen, Hung N. Pham, Hop Tran, Nhung Nghiem, Quang H. Nguyen, Trang T. T. Do, Cao Truong Tran, Colin R. Simpson
2019 J jnl
The Mediating Role of Perceived Value in the Effect of Multi-Dimensional Risk in Mobile Banking.
Int. J. Enterp. Inf. Syst.
Long Pham, Stan Williamson, Cyrus Mohebbi, Binh P. Nguyen, Hien Nguyen
2019 J jnl
iProDNA-CapsNet: identifying protein-DNA binding residues using capsule neural networks.
BMC Bioinform.
Binh P. Nguyen, Quang H. Nguyen, Giang-Nam Doan-Ngoc, Thanh-Hoang Nguyen-Vo, Susanto Rahardja
2017 J jnl
A two-level clustering approach for multidimensional transfer function specification in volume visualization.
Vis. Comput.
Lile Cai, Binh P. Nguyen, Chee-Kong Chui, Sim Heng Ong
2016 B conf
Automated brain tumor segmentation using kernel dictionary learning and superpixel-level features.
SMC
Xuan Chen, Binh P. Nguyen, Chee-Kong Chui, Sim Heng Ong
2016 J jnl
Comments on and corrections to 'Hardware-software co-design architecture for joint photo expert graphic XR encoder'.
IET Image Process.
Trang Thi Thu Do, Binh P. Nguyen
2016 J jnl
Superpixel-based segmentation of muscle fibers in multi-channel microscopy.
BMC Syst. Biol.
Binh P. Nguyen, Hans Heemskerk, Peter T. C. So, Lisa Tucker-Kellogg
2015 Misc conf
Publishing Graph Data with Subgraph Differential Privacy.
WISA
Binh P. Nguyen, Hoa Ngo, Jihun Kim, Jong Kim
2015 J jnl
Robust Biometric Recognition From Palm Depth Images for Gloved Hands.
IEEE Trans. Hum. Mach. Syst.
Binh P. Nguyen, Wei-Liang Tay, Chee-Kong Chui
2015 J jnl
Rule-Enhanced Transfer Function Generation for Medical Volume Visualization.
Comput. Graph. Forum
Lile Cai, Binh P. Nguyen, Chee-Kong Chui, Sim Heng Ong
2014 — conf
Development of a cognitive engine for balancing automation and human control of surgical robotic system.
URAI
Chee-Kong Chui, Binh P. Nguyen, Rong Wen
2014 J jnl
Hand gesture guided robot-assisted surgery based on a direct augmented reality interface.
Comput. Methods Programs Biomed.
Rong Wen, Wei-Liang Tay, Binh P. Nguyen, Chin-Boon Chng, Chee-Kong Chui
2013 J jnl
Automatic transfer function design for medical visualization using visibility distributions and projective color mapping.
Comput. Medical Imaging Graph.
Lile Cai, Wei-Liang Tay, Binh P. Nguyen, Chee-Kong Chui, Sim Heng Ong
2013 — conf
In situ spatial AR surgical planning using projector-Kinect system.
SoICT
Rong Wen, Binh P. Nguyen, Chin-Boon Chng, Chee-Kong Chui
2013 J jnl
Near-Field Communication Transceiver System Modeling and Analysis Using SystemC/SystemC-AMS With the Consideration of Noise Issues.
IEEE Trans. Very Large Scale Integr. Syst.
Wei Li, Dian Zhou, Minghua Li, Binh P. Nguyen, Xuan Zeng
2012 J jnl
A clustering-based system to automate transfer function design for medical image visualization.
Vis. Comput.
Binh P. Nguyen, Wei-Liang Tay, Chee-Kong Chui, Sim Heng Ong
2012 — conf
Ant colony optimization for model predictive control for blood glucose regulation.
SoICT
Yvonne Ho, Binh P. Nguyen, Chee-Kong Chui
2012 — conf
Fast point quadrupling on elliptic curves.
SoICT
Duc-Phong Le, Binh P. Nguyen
2012 — conf
Implementation of model predictive control with modified minimal model on low-power RISC microcontrollers.
SoICT
Binh P. Nguyen, Yvonne Ho, Zimei Wu, Chee-Kong Chui
2011 J jnl
An efficient compression scheme for 4-D medical images using hierarchical vector quantization and motion compensation.
Comput. Biol. Medicine
Binh P. Nguyen, Chee-Kong Chui, Sim Heng Ong, Stephen K. Y. Chang
2010 J jnl
An efficient clustering method for fast rendering of time-varying volumetric medical data.
Vis. Comput.
Zhenlan Wang, Binh P. Nguyen, Chee-Kong Chui, Jing Qin, Chuan-Heng Ang, Sim Heng Ong
2010 — conf
Particle-based simulation of blood flow and vessel wall interactions in virtual surgery.
SoICT
Jing Qin, Wai-Man Pang, Binh P. Nguyen, Dong Ni, Chee-Kong Chui
2010 C conf
Performance-cost analyses software for H.264 Forward/Inverse Integer Transform.
International Symposium on Rapid System Prototyping
Trang T. T. Do, Thinh M. Le, Binh P. Nguyen, Yajun Ha
2010 — conf
Prediction-based directional search for fast block-matching motion estimation.
SoICT
Binh P. Nguyen, Trang T. T. Do, Chee-Kong Chui, Sim Heng Ong
2009 — conf
Image Processing and Modeling for Active Needle Steering in Liver Surgery.
CAR
Bing Nan Li, Binh P. Nguyen, Sim Heng Ong, Jing Qin, Liangjing Yang, Chee-Kong Chui