| 2026 | AAAI | TTVAE: Transformer-Based Generative Modeling for Tabular Data Generation (Abstract Reprint). | Alex X. Wang, Binh P. Nguyen |
| 2026 | AIME | Predicting Fibromyalgia Pain From Self-reported Health Data Using Time-Series and Deep Learning Models. | Delnia Alipour, Olga Perepelkina, Alessandro Vinciarelli, Tahir Janmohamed, Binh P. Nguyen, Simone Stumpf |
| 2025 | ADMA | Differential Evolutionary for Label Ordering in Multi-label Classification. | Bach Hoai Nguyen, Binh P. Nguyen, Vinh Truong Hoang, Viet-Tuan Le |
| 2025 | CIBCB | iACP-KAN: Identifying Anticancer Peptides using Kolmogorov-Arnold Network. | Thanh-Hoang Nguyen-Vo, Zheng Li, Quang H. Trinh, Huu-Thanh Duong, Trang T. T. Do, Binh P. Nguyen |
| 2025 | CIBCB | GSDeep-DTA: A Hybrid Graph and Sequence-based Deep Learning Framework for Robust Drug-Target Affinity Prediction. | W. G. D. M. Samankula, Joanne Harvey, Binh P. Nguyen |
| 2025 | IJCAI | MolHFCNet: Enhancing Molecular Graph Representations with Hierarchical Feature Combining and Hybrid Pretraining. | Duy-Long Nguyen, Duc-Luong Ho-Viet, Anh-Thu Ngo-Tran, Quang H. Nguyen, Binh P. Nguyen |
| 2025 | MICCAI | Unleashing SAM for Few-Shot Medical Image Segmentation with Dual-Encoder and Automated Prompting. | Cuong M. Pham, Phi Le Nguyen, Thanh Trung Nguyen, Vu Minh Hieu Phan, Binh P. Nguyen |
| 2025 | PAKDD | Generative AI for Tabular Data Synthesis. | Alex X. Wang, Binh P. Nguyen, Colin R. Simpson |
| 2024 | IJCNN | 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 |
| 2024 | IJCNN | 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 |
| 2024 | ISCAS | i6mA-CNN: A Web-based System to Identify DNA N | Thanh-Hoang Nguyen-Vo, Susanto Rahardja, Binh P. Nguyen |
| 2024 | IVCNZ | AI Framework for Detecting Lordosis-Kyphosis-Scoliosis in Salmon X-Rays. | Loc Nguyen, Seumas P. Walker, Jane E. Symonds, Binh P. Nguyen |
| 2024 | Tencon | Identifying Nephrotoxicity of Small Molecules Using Machine Learning. | Thanh-Hoang Nguyen-Vo, Linh Bui, Trang T. T. Do, Susanto Rahardja, Binh P. Nguyen |
| 2024 | Tencon | Comparative Analysis of Oversampling Techniques and Deep Learning for Imbalanced Tabular Data. | Alex X. Wang, Colin R. Simpson, Binh P. Nguyen |
| 2023 | ICASSP | 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 |
| 2022 | ADMA | Implementation and Analysis of Centroid Displacement-Based k-Nearest Neighbors. | Alex X. Wang, Stefanka S. Chukova, Binh P. Nguyen |
| 2022 | COLING | Multi-level Community-awareness Graph Neural Networks for Neural Machine Translation. | Binh P. Nguyen, Long Nguyen, Dien Dinh |
| 2020 | ICCCI | 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, Binh P. Nguyen, Matthew Chin Heng Chua |
| 2019 | Tencon | 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, Graham Wright, Amit Singhal |
| 2016 | SMC | Automated brain tumor segmentation using kernel dictionary learning and superpixel-level features. | Xuan Chen, Binh P. Nguyen, Chee-Kong Chui, Sim Heng Ong |
| 2015 | WISA | Publishing Graph Data with Subgraph Differential Privacy. | Binh P. Nguyen, Hoa Ngo, Jihun Kim, Jong Kim |
| 2010 | RSP | Performance-cost analyses software for H.264 Forward/Inverse Integer Transform. | Trang T. T. Do, Thinh M. Le, Binh P. Nguyen, Yajun Ha |