Research outputs
2026
Biomedical Information Retrieval with Positive-Unlabeled Learning and Knowledge Graphs
Wang, Y., Chen, Q., Zhang, H., Wang, W., Wang, Q., Pan, Y., . . . Nguyen, A. (2024). Biomedical Information Retrieval with Positive-Unlabeled Learning and Knowledge Graphs. ACM Transactions on Intelligent Systems and Technology. doi:10.1145/3702647
An Object Detection Benchmark of a Novel Byzantine Iconography Dataset
Theofilis, N., Nguyen, A., Payne, T. R., & Tamma, V. (2026). An Object Detection Benchmark of a Novel Byzantine Iconography Dataset. Journal on Computing and Cultural Heritage. doi:10.1145/3842383
Burn depth assessment by photoacoustic imaging: A review
Zhou, J., Liang, S., Park, J. H., Nguyen, A., & Seong, M. (2026). Burn depth assessment by photoacoustic imaging: A review. Methods, 252, 65-82. doi:10.1016/j.ymeth.2026.04.014
VeloRM: disentangling pre- and post-splicing RNA modification dynamics at single-cell resolution
Wang, H., Song, B., Wu, Z., Zhang, Y., Li, J., Zhang, Y., . . . Meng, J. (2026). VeloRM: disentangling pre- and post-splicing RNA modification dynamics at single-cell resolution. NUCLEIC ACIDS RESEARCH, 54(12), 18 pages. doi:10.1093/nar/gkag645
Stochastic semantic segmentation with Stochastic Mixture of Bottleneck Experts
Liew, Y. Z., Tan, A. H. P., Majeed, A. P. P. A., Nguyen, A., Paoletti, P., & Chen, W. (2026). Stochastic semantic segmentation with Stochastic Mixture of Bottleneck Experts. ARRAY, 30, 10 pages. doi:10.1016/j.array.2026.100752
TAVR-VLM: Risk-Conditioned Causal Grounding for Hallucination-Resistant Report Generation
MA-KANet: Enhancing retinal vessel segmentation through multi-scale feature fusion and attention mechanisms
Li, G., Zhang, F., Ateeq, M., Nguyen, A., & Majeed, A. P. P. A. (2026). MA-KANet: Enhancing retinal vessel segmentation through multi-scale feature fusion and attention mechanisms. ICT Express, 12(3), 553-558. doi:10.1016/j.icte.2026.02.006
Design of a Magnetic Dual-Needle Biopsy Capsule Robot Resilient to Cross-Infection and Mixed Contamination
Ye, B., Chen, Z., Wang, S., Liu, S., Wang, B., Shu, Z., . . . Liu, S. (2026). Design of a Magnetic Dual-Needle Biopsy Capsule Robot Resilient to Cross-Infection and Mixed Contamination. IEEE TRANSACTIONS ON MEDICAL ROBOTICS AND BIONICS, 8(2), 894-905. doi:10.1109/TMRB.2026.3680996
SAGE: Sustainable Agent-Guided Expert-tuning for Culturally Attuned Translation in Low-Resource Southeast Asia
Lu, Z., Zhang, C., Li, Y., Stefanidis, A., Nguyen, A., Razzak, I., . . . Jiang, Z. (2026). SAGE: Sustainable Agent-Guided Expert-tuning for Culturally Attuned Translation in Low-Resource Southeast Asia. In Www 2026 Proceedings of the ACM Web Conference 2026 (pp. 9101-9112). doi:10.1145/3774904.3793041
3D medical image segmentation via sequential 2D slice processing
Liew, Y. Z., Tan, A. H. P., Majeed, A. P. P. A., Nguyen, A., Paoletti, P., & Chen, W. (2026). 3D medical image segmentation via sequential 2D slice processing. ICT EXPRESS, 12(2), 295-300. doi:10.1016/j.icte.2025.07.008
SkinCLIP-VL: Consistency-Aware Vision-Language Learning for Multimodal Skin Cancer Diagnosis
SAGE: Sustainable Agent-Guided Expert-tuning for Culturally Attuned Translation in Low-Resource Southeast Asia
Channel-adaptive generative reconstruction and fusion for multi-sensor graph features in few-shot fault diagnosis
You, P., Wang, L., Nguyen, A., Zhang, X., & Huang, B. (2026). Channel-adaptive generative reconstruction and fusion for multi-sensor graph features in few-shot fault diagnosis. INFORMATION FUSION, 127, 17 pages. doi:10.1016/j.inffus.2025.103742
Enhanced Prediction of Post-Myocardial Infarction Complications: Dual-Modality Analysis with Optimized Flow Cytometry Preprocessing and Feature Visualization
Al-Dausari, N., Coenen, F., Nguyen, A., & Shantsila, E. (2026). Enhanced Prediction of Post-Myocardial Infarction Complications: Dual-Modality Analysis with Optimized Flow Cytometry Preprocessing and Feature Visualization. In Unknown Book (Vol. 2703 CCIS, pp. 93-105). doi:10.1007/978-3-032-06878-1_5
MonoPredict-MI: Predicting Post-Myocardial Infarction Complications from Flow Cytometry–Derived Monocyte Subsets Using Neural Networks
Al-Dausari, N., Coenen, F., Nguyen, A., & Shantsila, E. (2026). MonoPredict-MI: Predicting Post-Myocardial Infarction Complications from Flow Cytometry–Derived Monocyte Subsets Using Neural Networks. In Proceedings of the 19th International Joint Conference on Biomedical Engineering Systems and Technologies (pp. 463-474). INSTICC. doi:10.5220/0014247900004070
Out-of-Distribution Detection in Gastrointestinal Vision by Estimating Nearest Centroid Distance Deficit
Pokhrel, S., Bhandari, S., Ali, S., Lambrou, T., Anh, N., Shrestha, Y. R., . . . Bhattarai, B. (2026). Out-of-Distribution Detection in Gastrointestinal Vision by Estimating Nearest Centroid Distance Deficit. In Unknown Book (Vol. 15917, pp. 190-200). doi:10.1007/978-3-031-98691-8_14
2025
Learning Human Motion with Temporally Conditional Mamba
Nguyen, Q., Le, T., Huang, B., Vu, M. N., Le, N., Vo, T., & Nguyen, A. (2025). Learning Human Motion with Temporally Conditional Mamba. In Proceedings SIGGRAPH Asia 2025 Conference Papers SA 2025. doi:10.1145/3757377.3763948
An explainable approach to learning feature representations of omics data using optimal transport to improve phenotype stratification
Gadhia, N. A., Ghosh, S., Krishna, R., Nguyen, A., & Smyrnakis, M. (2025). An explainable approach to learning feature representations of omics data using optimal transport to improve phenotype stratification. In Bcb 2025 Proceedings of the 16th ACM International Conference on Bioinformatics Computational Biology and Health Informatics. doi:10.1145/3765612.3767214
BiMa: Towards Biases Mitigation for Text-Video Retrieval via Scene Element Guidance
Le, H., Chung, N., Kieu, T., Nguyen, A., & Le, N. (2025). BiMa: Towards Biases Mitigation for Text-Video Retrieval via Scene Element Guidance. In Mm 2025 Proceedings of the 33rd ACM International Conference on Multimedia Co Located with mm 2025 (pp. 2831-2840). doi:10.1145/3746027.3754833
Interpreting Radiologist's Intention from Eye Movements in Chest X-ray Diagnosis
Pham, T. T., Nguyen, A., Deng, Z., Wu, C. C., Nguyen, H., & Le, N. (2025). Interpreting Radiologist's Intention from Eye Movements in Chest X-ray Diagnosis. In Mm 2025 Proceedings of the 33rd ACM International Conference on Multimedia Co Located with mm 2025 (pp. 257-266). doi:10.1145/3746027.3755039
GraspMamba: A Mamba-based Language-driven Grasp Detection Framework with Hierarchical Feature Learning
Nguyen, H. H., Vuong, A., Nguyen, A., Reid, I., & Vu, M. N. (2025). GraspMamba: A Mamba-based Language-driven Grasp Detection Framework with Hierarchical Feature Learning. In 2025 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) Vol. 00 (pp. 15808-15815). Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/iros60139.2025.11245817
Modeling The States of Liquid Phase Change Pouch Actuators by Reservoir Computing
Caremel, C., Nguyen, K., Nguyen, A., Huber, M., Kawahara, Y., & Ta, T. D. (2025). Modeling The States of Liquid Phase Change Pouch Actuators by Reservoir Computing. In 2025 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) Vol. 00 (pp. 3601-3608). Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/iros60139.2025.11247242
More Reliable Pseudo-Labels, Better Performance: A Generalized Approach to Single Positive Multi-Label Learning
Tran, L., Vo, T., Nguyen, A., Dinh, S., & Nguyen, V. (2025). More Reliable Pseudo-Labels, Better Performance: A Generalized Approach to Single Positive Multi-Label Learning. In 2025 IEEE/CVF International Conference on Computer Vision (ICCV) Vol. 00 (pp. 1349-1358). Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/iccv51701.2025.00133
SplineFormer: An Explainable Transformer Network for Autonomous Endovascular Navigation
Jianu, T., Doust, S., Li, M., Huang, B., Tuong, D., Hoan, N., . . . Anh, N. (2025). SplineFormer: An Explainable Transformer Network for Autonomous Endovascular Navigation. In 2025 IEEE/RSJ INTERNATIONAL CONFERENCE ON INTELLIGENT ROBOTS AND SYSTEMS (IROS) (pp. 7718-7725). doi:10.1109/IROS60139.2025.11246898
Towards a Universal 3D Medical Multi-Modality Generalization via Learning Personalized Invariant Representation
Tan, Z., Yang, X., Pan, T., Liu, T., Jiang, C., Guo, X., . . . Cheng, Y. (2025). Towards a Universal 3D Medical Multi-Modality Generalization via Learning Personalized Invariant Representation. In 2025 IEEE/CVF International Conference on Computer Vision (ICCV) Vol. 00 (pp. 21895-21905). Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/iccv51701.2025.02033
NUMINA: A Natural Understanding Benchmark for Multi-dimensional Intelligence and Numerical Reasoning Abilities
Multimodal zero-shot learning of previously unseen epitranscriptomes from RNA-seq data
Song, Y., Song, B., Huang, D., Nguyen, A., Hu, L., Meng, J., & Wang, Y. (2025). Multimodal zero-shot learning of previously unseen epitranscriptomes from RNA-seq data. BRIEFINGS IN BIOINFORMATICS, 26(4), 16 pages. doi:10.1093/bib/bbaf332
Hybrid Gripper with Passive Pneumatic Soft Joints for Grasping Deformable Thin Objects
Tran, N. -D., Ly, H. -H., Nguyen, X. -T., Mac, T. -T., Nguyen, A., & Ta, T. D. (2025). Hybrid Gripper with Passive Pneumatic Soft Joints for Grasping Deformable Thin Objects. In 2025 IEEE International Conference on Robotics and Automation (ICRA) Vol. 00 (pp. 7858-7864). Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/icra55743.2025.11127915
Online Trajectory Replanner for Dynamically Grasping Irregular Objects
Vu, M. N., Grander, F., Nguyen, A., & Unger, C. (2025). Online Trajectory Replanner for Dynamically Grasping Irregular Objects. In 2025 IEEE International Conference on Robotics and Automation (ICRA) Vol. 00 (pp. 7975-7981). Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/icra55743.2025.11128477
FedSSL: Federated Learning with Shape-Sensitive Loss for Catheter and Guidewire Segmentation
Kongtongvattana, C., Huang, B., Nguyen, H., Olajide, O., & Nguyen, A. (2025). FedSSL: Federated Learning with Shape-Sensitive Loss for Catheter and Guidewire Segmentation. In 2024 IEEE International Conference on Robotics and Biomimetics (ROBIO) (pp. 2137-2143). IEEE. doi:10.1109/robio64047.2024.10907455
Statistical modeling of single-cell epitranscriptomics enabled trajectory and regulatory inference of RNA methylation
Wang, H., Wang, Y., Zhou, J., Song, B., Tu, G., Nguyen, A., . . . Meng, J. (2025). Statistical modeling of single-cell epitranscriptomics enabled trajectory and regulatory inference of RNA methylation. CELL GENOMICS, 5(1), 22 pages. doi:10.1016/j.xgen.2024.100702
A Novel Approach to Differential Expression Analysis of Co-Occurrence Networks for Small-Sampled Microbiome Data
Gadhia, N., Smyrnakis, M., Liu, P. -Y., Blake, D., Hay, M., Nguyen, A., . . . Krishna, R. (2025). A Novel Approach to Differential Expression Analysis of Co-Occurrence Networks for Small-Sampled Microbiome Data. IEEE TRANSACTIONS ON COMPUTATIONAL BIOLOGY AND BIOINFORMATICS, 22(4), 1311-1322. doi:10.1109/TCBBIO.2025.3554740
Adaptive Parametric Activation
Alexandridis, K. P., Deng, J., Nguyen, A., & Luo, S. (2025). Adaptive Parametric Activation. In Unknown Book (Vol. 15112 LNCS, pp. 455-476). doi:10.1007/978-3-031-72949-2_26
Are Spatial-Temporal Graph Convolution Networks for Human Action Recognition Over-Parameterized?
Xie, J., Zhao, Y., Meng, Y., Zhao, H., Nguyen, A., & Zheng, Y. (2025). Are Spatial-Temporal Graph Convolution Networks for Human Action Recognition Over-Parameterized?. In 2025 IEEE/CVF CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR) (pp. 24309-24319). doi:10.1109/CVPR52734.2025.02264
Attention-SSM Network for Predicting Springback Error in Single Point Incremental Forming
Chen, D., Oscoz, M. P., Martin Rebe, A., Hai, Y., Coenen, F., & Nguyen, A. (2025). Attention-SSM Network for Predicting Springback Error in Single Point Incremental Forming. In Proceedings of the International Joint Conference on Neural Networks. doi:10.1109/IJCNN64981.2025.11228939
Autonomous Catheterization With Open-Source Simulator and Expert Trajectory
Jianu, T., Huang, B., Van Vo, T., Nhat Vu, M., Kang, J., Nguyen, H. C., . . . Nguyen, A. (2025). Autonomous Catheterization With Open-Source Simulator and Expert Trajectory. In Handbook of Robotic and Image Guided Surgery (pp. 131-148). doi:10.1016/B978-0-443-13912-3.00054-3
CT-ScanGaze: A Dataset and Baselines for 3D Volumetric Scanpath Modeling
Pham, T. T., Awasthi, A., Khan, S., Marti, E. D., Nguyen, T. P., Vo, K., . . . Le, N. (2025). CT-ScanGaze: A Dataset and Baselines for 3D Volumetric Scanpath Modeling. In Proceedings of the IEEE International Conference on Computer Vision (pp. 21732-21743). doi:10.1109/ICCV51701.2025.02018
EgoMusic-Driven Human Dance Motion Estimation with Skeleton Mamba
Nguyen, Q., Le, N., Huang, B., Vu, M. N., Tang, C., Nguyen, V., . . . Nguyen, A. (2025). EgoMusic-Driven Human Dance Motion Estimation with Skeleton Mamba. In Proceedings of the IEEE International Conference on Computer Vision (pp. 12023-12033). doi:10.1109/ICCV51701.2025.01118
FG-CXR: A Radiologist-Aligned Gaze Dataset for Enhancing Interpretability in Chest X-Ray Report Generation
Pham, T. T., Ho, N. V., Bui, N. T., Phan, T., Brijesh, P., Adjeroh, D., . . . Le, N. (2025). FG-CXR: A Radiologist-Aligned Gaze Dataset for Enhancing Interpretability in Chest X-Ray Report Generation. In Unknown Book (Vol. 15477 LNCS, pp. 71-88). doi:10.1007/978-981-96-0960-4_5
FedEFM: Federated Endovascular Foundation Model with Unseen Data
Tuong, D., Nghia, V., Jianu, T., Huang, B., Minh, V., Su, J., . . . Anh, N. (2025). FedEFM: Federated Endovascular Foundation Model with Unseen Data. In 2025 IEEE INTERNATIONAL CONFERENCE ON ROBOTICS AND AUTOMATION (ICRA) (pp. 10072-10079). doi:10.1109/ICRA55743.2025.11127787
FedPGD: Federated Learning with Projected Gradient Descent for Catheter and Guidewire Segmentation
Kongtongvattana, C., Huang, B., Nguyen, H., Olajide, O., & Nguyen, A. (2025). FedPGD: Federated Learning with Projected Gradient Descent for Catheter and Guidewire Segmentation. In Unknown Book (Vol. 1419 LNNS, pp. 80-91). doi:10.1007/978-3-031-92011-0_7
FlowMI-HybridNet: Integrating Data Handling and Neural Network for Enhanced Post-Myocardial Infarction Complication Prediction
Al-Dausari, N., Coenen, F., Nguyen, A., & Shantsila, E. (2025). FlowMI-HybridNet: Integrating Data Handling and Neural Network for Enhanced Post-Myocardial Infarction Complication Prediction. In Unknown Book (Vol. 1537 LNNS, pp. 327-341). doi:10.1007/978-981-96-9242-2_24
Fractal Calibration for long-tailed object detection
Alexandridis, K. P., Elezi, I., Deng, J., Nguyen, A., & Luo, S. (2025). Fractal Calibration for long-tailed object detection. In Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition (pp. 15139-15150). doi:10.1109/CVPR52734.2025.01410
GraspMAS: Zero-Shot Language-driven Grasp Detection with Multi-Agent System
Nguyen, Q., Le, T., Nguyen, H., Vo, T., Ta, T. D., Huang, B., . . . Nguyen, A. (2025). GraspMAS: Zero-Shot Language-driven Grasp Detection with Multi-Agent System. In 2025 IEEE/RSJ INTERNATIONAL CONFERENCE ON INTELLIGENT ROBOTS AND SYSTEMS (IROS) (pp. 14939-14946). doi:10.1109/IROS60139.2025.11246582
Guide3D: A Bi-planar X-ray Dataset for 3D Shape Reconstruction
Jianu, T., Huang, B., Nguyen, H., Bhattarai, B., Do, T., Tjiputra, E., . . . Nguyen, A. (2025). Guide3D: A Bi-planar X-ray Dataset for 3D Shape Reconstruction. In Unknown Book (Vol. 15476, pp. 366-382). doi:10.1007/978-981-96-0917-8_21
LP-Diff: Towards Improved Restoration of Real-World Degraded License Plate
Gong, H., Zhang, Z., Feng, Y., Anh, N., & Liu, H. (2025). LP-Diff: Towards Improved Restoration of Real-World Degraded License Plate. In 2025 IEEE/CVF CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR) (pp. 17831-17840). doi:10.1109/CVPR52734.2025.01661
Language-Driven 6-DoF Grasp Detection Using Negative Prompt Guidance
Nguyen, T., Vu, M. N., Huang, B., Vuong, A., Vuong, Q., Le, N., . . . Nguyen, A. (2025). Language-Driven 6-DoF Grasp Detection Using Negative Prompt Guidance. In Unknown Book (Vol. 15077 LNCS, pp. 363-381). doi:10.1007/978-3-031-72655-2_21
Lightweight Temporal Transformer Decomposition for Federated Autonomous Driving
Tuong, D., Nguyen, B. X., Tran, Q. D., Tjiputra, E., Chiu, T. -C., & Anh, N. (2025). Lightweight Temporal Transformer Decomposition for Federated Autonomous Driving. In 2025 IEEE/RSJ INTERNATIONAL CONFERENCE ON INTELLIGENT ROBOTS AND SYSTEMS (IROS) (pp. 12472-12479). doi:10.1109/IROS60139.2025.11246435
NUMINA: A Natural Understanding Benchmark for Multi-dimensional Intelligence and Numerical Reasoning Abilities
Zeng, C., Wang, Y., Wang, Z., Wang, W., Yang, Z., Bao, M., . . . Yue, Y. (2025). NUMINA: A Natural Understanding Benchmark for Multi-dimensional Intelligence and Numerical Reasoning Abilities. In Emnlp 2025 2025 Conference on Empirical Methods in Natural Language Processing Findings of Emnlp 2025 (pp. 22575-22590). doi:10.18653/v1/2025.findings-emnlp.1229
OVITA: Open-Vocabulary Interpretable Trajectory Adaptations
Maurya, A., Ghosh, T., Nguyen, A., & Prakash, R. (2025). OVITA: Open-Vocabulary Interpretable Trajectory Adaptations. IEEE ROBOTICS AND AUTOMATION LETTERS, 10(11), 11054-11061. doi:10.1109/LRA.2025.3606309
Robotic-CLIP: Fine-tuning CLIP on Action Data for Robotic Applications
Nghia, N., Vu, M. N., Ta, T. D., Huang, B., Vo, T., Le, N., & Anh, N. (2025). Robotic-CLIP: Fine-tuning CLIP on Action Data for Robotic Applications. In 2025 IEEE INTERNATIONAL CONFERENCE ON ROBOTICS AND AUTOMATION (ICRA) (pp. 5930-5936). doi:10.1109/ICRA55743.2025.11127829
Safe Trajectory Optimization and Efficient-Offline Robust Model Predictive Control for Autonomous Vehicle Lane Change
Nguyen, H. D., Kim, D., Nguyen, A., Han, K., & Vu, M. N. (2025). Safe Trajectory Optimization and Efficient-Offline Robust Model Predictive Control for Autonomous Vehicle Lane Change. IEEE Transactions on Intelligent Vehicles, 10(6), 3871-3885. doi:10.1109/TIV.2024.3467111
Scalable Group Choreography via Variational Phase Manifold Learning
Le, N., Le, K., Bui, X., Do, T., Tjiputra, E., Tran, Q. D., & Nguyen, A. (2025). Scalable Group Choreography via Variational Phase Manifold Learning. In Unknown Book (Vol. 15076, pp. 293-311). doi:10.1007/978-3-031-72649-1_17
Sheet Metal Forming Springback Prediction Using Image Geometrics (SPIG): A Novel Approach Using Heatmaps and Convolutional Neural Network
Chen, D., Oscoz, M. P., Hai, Y., Ander, M. R., Coenen, F., & Nguyen, A. (2025). Sheet Metal Forming Springback Prediction Using Image Geometrics (SPIG): A Novel Approach Using Heatmaps and Convolutional Neural Network. In International Joint Conference on Knowledge Discovery Knowledge Engineering and Knowledge Management Ic3k Proceedings Vol. 1 (pp. 28-38). doi:10.5220/0013673100004000
Soft Joints Grippers for Grasping Deformable Thin Objects
Tran, N. -D., Ly, H. -H., Nguyen, X. -T., Mac, T. -T., Nguyen, A., & Ta, T. D. (2025). Soft Joints Grippers for Grasping Deformable Thin Objects. The Proceedings of JSME annual Conference on Robotics and Mechatronics (Robomec), 2025(0), 2p1-r01. doi:10.1299/jsmermd.2025.2p1-r01
Statistical modeling of immunoprecipitation efficiency of MeRIP-seq data enabled accurate detection and quantification of epitranscriptome
Wang, H., Chen, K., Wei, Z., Song, B., Zhu, M., Su, J., . . . Wang, Y. (2025). Statistical modeling of immunoprecipitation efficiency of MeRIP-seq data enabled accurate detection and quantification of epitranscriptome. COMPUTATIONAL AND STRUCTURAL BIOTECHNOLOGY JOURNAL, 27, 3742-3752. doi:10.1016/j.csbj.2025.08.030
Translating Simulation Images to X-Ray Images via Multi-scale Semantic Matching
Kang, J., Jianu, T., Huang, B., Bhattarai, B., Ngan, L., Coenen, F., & Anh, N. (2025). Translating Simulation Images to X-Ray Images via Multi-scale Semantic Matching. In Unknown Book (Vol. 15265, pp. 95-104). doi:10.1007/978-3-031-73748-0_10
Weakly-Supervised Learning via Multi-Lateral Decoder Branching for Tool Segmentation in Robot-Assisted Cardiovascular Catheterization
Omisore, O. M., Akinyemi, T., Anh, N., & Wang, L. (2025). Weakly-Supervised Learning via Multi-Lateral Decoder Branching for Tool Segmentation in Robot-Assisted Cardiovascular Catheterization. In 2025 IEEE INTERNATIONAL CONFERENCE ON ROBOTICS AND AUTOMATION (ICRA) (pp. 9325-9331). doi:10.1109/ICRA55743.2025.11128773
2024
A novel approach to differential expression analysis of co-occurrence networks for small-sampled microbiome data
Dynamic Semantic-based Spatial-Temporal Graph Convolution Network for Skeleton-based Human Action Recognition
Xie, J., Meng, Y., Zhao, Y., Anh, N., Yang, X., & Zheng, Y. (2024). Dynamic Semantic-based Spatial-Temporal Graph Convolution Network for Skeleton-based Human Action Recognition. IEEE Transactions on Image Processing, 1. doi:10.1109/tip.2024.3497837
Domain-specific Guided Summarization for Mental Health Posts
Samba: Semantic segmentation of remotely sensed images with state space model
Zhu, Q., Cai, Y., Fang, Y., Yang, Y., Chen, C., Fan, L., & Nguyen, A. (2024). Samba: Semantic segmentation of remotely sensed images with state space model. HELIYON, 10(19), 10 pages. doi:10.1016/j.heliyon.2024.e38495
ShapeFormer: Shape Prior Visible-to-Amodal Transformer-based Amodal Instance Segmentation
Tran, M., Bounsavy, W., Vo, K., Nguyen, A., Nguyen, T., & Le, N. (2024). ShapeFormer: Shape Prior Visible-to-Amodal Transformer-based Amodal Instance Segmentation. In 2024 International Joint Conference on Neural Networks (IJCNN) Vol. 00 (pp. 1-8). Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/ijcnn60899.2024.10650837
CLIP-DR: Textual Knowledge-Guided Diabetic Retinopathy Grading with Ranking-aware Prompting
Spring Back Prediction Using Point Series and Deep Learning
Bingqian, Y., Zeng, Y., Yang, H., Penalva Oscoz, M., Ortiz, M., Coenen, F., & Nguyen, A. (n.d.). Spring Back Prediction Using Point Series and Deep Learning. International Journal of Advanced Manufacturing Technology.
Open-Fusion: Real-time Open-Vocabulary 3D Mapping and Queryable Scene Representation
Yamazaki, K., Hanyu, T., Vo, K., Pham, T., Tran, M., Doretto, G., . . . Le, N. (2024). Open-Fusion: Real-time Open-Vocabulary 3D Mapping and Queryable Scene Representation. In 2024 IEEE International Conference on Robotics and Automation (ICRA) Vol. 00 (pp. 9411-9417). Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/icra57147.2024.10610193
WAVER: Writing-Style Agnostic Text-Video Retrieval Via Distilling Vision-Language Models Through Open-Vocabulary Knowledge
Le, H., Kieu, T., Nguyen, A., & Le, N. (2024). WAVER: Writing-Style Agnostic Text-Video Retrieval Via Distilling Vision-Language Models Through Open-Vocabulary Knowledge. In ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) Vol. 00 (pp. 3025-3029). Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/icassp48485.2024.10446193
DKE-Research at SemEval-2024 Task 2: Incorporating Data Augmentation with Generative Models and Biomedical Knowledge to Enhance Inference Robustness
Dynamic Semantic-Based Spatial Graph Convolution Network for Skeleton-Based Human Action Recognition
Xie, J., Meng, Y., Zhao, Y., Anh, N., Yang, X., & Zheng, Y. (2024). Dynamic Semantic-Based Spatial Graph Convolution Network for Skeleton-Based Human Action Recognition. In THIRTY-EIGHTH AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE, VOL 38 NO 6 (pp. 6225-6233). Retrieved from https://www.webofscience.com/
SimPS-Net: Simultaneous Pose & Segmentation Network of Surgical Tools
Souipas, S., Nguyen, A., Laws, S., Davies, B., & Rodriguez Y Baena, F. (2024). SimPS-Net: Simultaneous Pose & Segmentation Network of Surgical Tools. In Unknown Conference Vol. 6 (pp. 90-85). EasyChair. doi:10.29007/plzv
Film-GAN: towards realistic analog film photo generation
Gong, H., Su, J., Seng, K. P., Nguyen, A., Liu, A., & Liu, H. (2024). Film-GAN: towards realistic analog film photo generation. Neural Computing and Applications, 36(8), 4281-4291. doi:10.1007/s00521-023-09283-5
Self-supervised learning for point cloud data: A survey
Zeng, C., Wang, W., Nguyen, A., & Yue, Y. (2023). Self-supervised learning for point cloud data: A survey. Expert Systems with Applications, 121354. doi:10.1016/j.eswa.2023.121354
Zero-Shot Medical Information Retrieval via Knowledge Graph Embedding
Wang, Y., Wang, Z., Wang, W., Chen, Q., Huang, K., Nguyen, A., & De, S. (2024). Zero-Shot Medical Information Retrieval via Knowledge Graph Embedding. In Unknown Conference (pp. 29-40). Springer Nature Switzerland. doi:10.1007/978-3-031-52216-1_3
I-AI: A Controllable & Interpretable AI System for Decoding Radiologists’ Intense Focus for Accurate CXR Diagnoses
Pham, T. T., Brecheisen, J., Nguyen, A., Nguyen, H., & Le, N. (2024). I-AI: A Controllable & Interpretable AI System for Decoding Radiologists’ Intense Focus for Accurate CXR Diagnoses. In 2024 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) Vol. 00 (pp. 7835-7844). Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/wacv57701.2024.00767
3D Guidewire Shape Reconstruction from Monoplane Fluoroscopic Image
Jianu, T., Huang, B., Berthet-Rayne, P., Fichera, S., & Nguyen, A. (2024). 3D Guidewire Shape Reconstruction from Monoplane Fluoroscopic Image. In Unknown Book (Vol. 1132, pp. 84-94). doi:10.1007/978-3-031-70684-4_7
CLIP-DR: Textual Knowledge-Guided Diabetic Retinopathy Grading with Ranking-Aware Prompting
Yu, Q., Xie, J., Anh, N., Zhao, H., Zhang, J., Fu, H., . . . Meng, Y. (2024). CLIP-DR: Textual Knowledge-Guided Diabetic Retinopathy Grading with Ranking-Aware Prompting. In Unknown Book (Vol. 15001, pp. 667-677). doi:10.1007/978-3-031-72378-0_62
CathSim: An Open-Source Simulator for Endovascular Intervention
Jianu, T., Huang, B., Vu, M. N., Abdelaziz, M. E. M. K., Fichera, S., Lee, C. -Y., . . . Nguyen, A. (2024). CathSim: An Open-Source Simulator for Endovascular Intervention. IEEE TRANSACTIONS ON MEDICAL ROBOTICS AND BIONICS, 6(3), 971-979. doi:10.1109/TMRB.2024.3421256
DKE-Research at SemEval-2024 Task 2: Incorporating Data Augmentation with Generative Models and Biomedical Knowledge to Enhance Inference Robustness
Wang, Y., Wang, Z., Wang, W., Chen, Q., Huang, K., Anh, N., & De, S. (2024). DKE-Research at SemEval-2024 Task 2: Incorporating Data Augmentation with Generative Models and Biomedical Knowledge to Enhance Inference Robustness. In PROCEEDINGS OF THE 18TH INTERNATIONAL WORKSHOP ON SEMANTIC EVALUATION, SEMEVAL-2024 (pp. 88-94). Retrieved from https://www.webofscience.com/
Domain-specific Guided Summarization for Mental Health Posts
Qian, L., Wang, Y., Wang, Z., Zhang, H., Wang, W., Yu, T., & Nguyen, A. (2024). Domain-specific Guided Summarization for Mental Health Posts. In Paclic Pacific Asia Conference on Language Information and Computation.
Fine-Grained Visual Classification using Self Assessment Classifier
Do, T., Trani, H., Tjiputra, E., Tran, Q. D., & Anh, N. (2024). Fine-Grained Visual Classification using Self Assessment Classifier. In 2024 IEEE CONFERENCE ON ARTIFICIAL INTELLIGENCE, CAI 2024 (pp. 597-602). doi:10.1109/CAI59869.2024.00117
Generating Valid and Natural Adversarial Examples with Large Language Models
Wang, Z., Wang, W., Chen, Q., Wang, Q., & Anh, N. (2024). Generating Valid and Natural Adversarial Examples with Large Language Models. In PROCEEDINGS OF THE 2024 27 TH INTERNATIONAL CONFERENCE ON COMPUTER SUPPORTED COOPERATIVE WORK IN DESIGN, CSCWD 2024 (pp. 1716-1721). doi:10.1109/CSCWD61410.2024.10580402
Grasp-Anything: Large-scale Grasp Dataset from Foundation Models
Vuong, A. D., Vu, M. N., Le, H., Huang, B., Binh, H. T. T., Vo, T., . . . Nguyen, A. (2024). Grasp-Anything: Large-scale Grasp Dataset from Foundation Models. In 2024 IEEE INTERNATIONAL CONFERENCE ON ROBOTICS AND AUTOMATION (ICRA 2024) (pp. 14030-14037). doi:10.1109/ICRA57147.2024.10611277
HabiCrowd: A High Performance Simulator for Crowd-Aware Visual Navigation
An, V., Toan, N., Minh, N. V., Huang, B., Binh, H. T. T., Thieu, V., & Anh, N. (2024). HabiCrowd: A High Performance Simulator for Crowd-Aware Visual Navigation. In 2024 IEEE/RSJ INTERNATIONAL CONFERENCE ON INTELLIGENT ROBOTS AND SYSTEMS, IROS 2024 (pp. 5821-5827). doi:10.1109/IROS58592.2024.10801823
Interpret Your Decision: Logical Reasoning Regularization for Generalization in Visual Classification
Tan, Z., Yang, X., Wang, Q., Anh, N., & Huang, K. (2024). Interpret Your Decision: Logical Reasoning Regularization for Generalization in Visual Classification. In ADVANCES IN NEURAL INFORMATION PROCESSING SYSTEMS 37 (NEURIPS 2024) (pp. 39 pages). Retrieved from https://www.webofscience.com/
Knowledge Distillation from Monolingual to Multilingual Models for Intelligent and Interpretable Multilingual Emotion Detection
Wang, Y., Wang, Z., Han, N., Wang, W., Chen, Q., Zhang, H., . . . Nguyen, A. (2024). Knowledge Distillation from Monolingual to Multilingual Models for Intelligent and Interpretable Multilingual Emotion Detection. In Wassa 2024 14th Workshop on Computational Approaches to Subjectivity Sentiment and Social Media Analysis Proceedings of the Workshop (pp. 470-475).
Language-Conditioned Affordance-Pose Detection in 3D Point Clouds
Toan, N., Minh, N. V., Huang, B., Tuan, V. V., Vy, T., Ngan, L., . . . Anh, N. (2024). Language-Conditioned Affordance-Pose Detection in 3D Point Clouds. In 2024 IEEE INTERNATIONAL CONFERENCE ON ROBOTICS AND AUTOMATION, ICRA 2024 (pp. 3071-3078). doi:10.1109/ICRA57147.2024.10610008
Language-driven Grasp Detection
An, D. V., Minh, N. V., Baoru, H., Nghia, N., Hieu, L., Thieu, V., & Anh, N. (2024). Language-driven Grasp Detection. In 2024 IEEE/CVF CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR) (pp. 17902-17912). doi:10.1109/CVPR52733.2024.01695
Language-driven Grasp Detection with Mask-guided Attention
Nan, V. V., Minh, N. V., Huang, B., An, V., Ngan, L., Thieu, V., & Anh, N. (2024). Language-driven Grasp Detection with Mask-guided Attention. In 2024 IEEE/RSJ INTERNATIONAL CONFERENCE ON INTELLIGENT ROBOTS AND SYSTEMS, IROS 2024 (pp. 7492-7498). doi:10.1109/IROS58592.2024.10802256
Lightweight Language-driven Grasp Detection using Conditional Consistency Model
Nghia, N., Minh, N. V., Huang, B., Vuong, A., Ngan, L., Thieu, V., & Anh, N. (2024). Lightweight Language-driven Grasp Detection using Conditional Consistency Model. In 2024 IEEE/RSJ INTERNATIONAL CONFERENCE ON INTELLIGENT ROBOTS AND SYSTEMS (IROS 2024) (pp. 13719-13725). doi:10.1109/IROS58592.2024.10802007
Multi-disease Detection in Retinal Images Guided by Disease Causal Estimation
Xie, J., Chen, X., Zhao, Y., Meng, Y., Zhao, H., Anh, N., . . . Zheng, Y. (2024). Multi-disease Detection in Retinal Images Guided by Disease Causal Estimation. In Unknown Book (Vol. 15001, pp. 743-753). doi:10.1007/978-3-031-72378-0_69
Open-Vocabulary Affordance Detection using Knowledge Distillation and Text-Point Correlation
Tuan, V. V., Minh, N. V., Huang, B., Toan, N., Ngan, L., Thieu, V., & Anh, N. (2024). Open-Vocabulary Affordance Detection using Knowledge Distillation and Text-Point Correlation. In 2024 IEEE INTERNATIONAL CONFERENCE ON ROBOTICS AND AUTOMATION (ICRA 2024) (pp. 13968-13975). doi:10.1109/ICRA57147.2024.10610247
Predicting Post Myocardial Infarction Complication: A Study Using Dual-Modality and Imbalanced Flow Cytometry Data
Aldausari, N., Coenen, F., Nguyen, A., & Shantsila, E. (2024). Predicting Post Myocardial Infarction Complication: A Study Using Dual-Modality and Imbalanced Flow Cytometry Data. In International Joint Conference on Knowledge Discovery Knowledge Engineering and Knowledge Management Ic3k Proceedings Vol. 1 (pp. 81-90). doi:10.5220/0012998300003838
Preface
Yap, E. H., Majeed, A. P. P. A., Chen, W., Liu, P., Huang, X., Nguyen, A., & Kim, U. H. (2024). Preface. Lecture Notes in Networks and Systems, 1132 LNNS, v-vi.
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Yap, E. H., Abdul Majeed, A. P. P., Chen, W., Liu, P., Huang, X., Nguyen, A., & Kim, U. H. (2024). Preface. Lecture Notes in Networks and Systems, 1133 LNNS.
Real-time active constraint generation and enforcement for surgical tools using 3D detection and localisation network
Souipas, S., Nguyen, A., Laws, S. G., Davies, B. L., & Rodriguez y Baena, F. (2024). Real-time active constraint generation and enforcement for surgical tools using 3D detection and localisation network. Frontiers in Robotics and AI, 11. doi:10.3389/frobt.2024.1365632
Reducing Non-IID Effects in Federated Autonomous Driving with Contrastive Divergence Loss
Do, T., Nguyen, B. X., Tran, Q. D., Nguyen, H., Tjiputra, E., Chiu, T. -C., & Nguyen, A. (2024). Reducing Non-IID Effects in Federated Autonomous Driving with Contrastive Divergence Loss. In 2024 IEEE INTERNATIONAL CONFERENCE ON ROBOTICS AND AUTOMATION, ICRA 2024 (pp. 2190-2196). doi:10.1109/ICRA57147.2024.10611202
Shape-Sensitive Loss for Catheter and Guidewire Segmentation
Kongtongvattana, C., Huang, B., Kang, J., Nguyen, H., Olufemi, O., & Nguyen, A. (2024). Shape-Sensitive Loss for Catheter and Guidewire Segmentation. In Unknown Book (Vol. 1132, pp. 95-107). doi:10.1007/978-3-031-70684-4_8
Style Transfer for 2D Talking Head Generation
Pham, T. T., Do, T., Le, N., Le, N., Nguyen, H., Tjiputra, E., . . . Nguyen, A. (2024). Style Transfer for 2D Talking Head Generation. In 2024 IEEE/CVF CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION WORKSHOPS, CVPRW (pp. 7500-7509). doi:10.1109/CVPRW63382.2024.00745
2023
Controllable Group Choreography using Contrastive Diffusion
Le, N., Tuong, D., Khoa, D., Hien, N., Tjiputra, E., Tran, Q. D., & Nguyen, A. (2023). Controllable Group Choreography using Contrastive Diffusion. ACM TRANSACTIONS ON GRAPHICS, 42(6), 14 pages. doi:10.1145/3618356
Semantic Similarity Distance: Towards better text-image consistency metric in text-to-image generation
Tan, Z., Yang, X., Ye, Z., Wang, Q., Yan, Y., Nguyen, A., & Huang, K. (2023). Semantic Similarity Distance: Towards better text-image consistency metric in text-to-image generation. Pattern Recognition, 144, 109883. doi:10.1016/j.patcog.2023.109883
Two-Step Online Trajectory Planning of a Quadcopter in Indoor Environments with Obstacles
Zimmermann, M., Vu, M. N., Beck, F., Nguyen, A., & Kugi, A. (2023). Two-Step Online Trajectory Planning of a Quadcopter in Indoor Environments with Obstacles. In IFAC-PapersOnLine Vol. 56 (pp. 11002-11009). doi:10.1016/j.ifacol.2023.10.799
Generating Valid and Natural Adversarial Examples with Large Language Models
Zero-Shot Medical Information Retrieval via Knowledge Graph Embedding
Inverse Image Frequency for Long-Tailed Image Recognition
Alexandridis, K. P., Luo, S., Nguyen, A., Deng, J., & Zafeiriou, S. (2023). Inverse Image Frequency for Long-Tailed Image Recognition. IEEE Transactions on Image Processing, 32, 5721-5736. doi:10.1109/tip.2023.3321461
Inverse Image Frequency for Long-tailed Image Recognition
Detecting the Sensing Area of a Laparoscopic Probe in Minimally Invasive Cancer Surgery
Huang, B., Hu, Y., Nguyen, A., Giannarou, S., & Elson, D. S. (2023). Detecting the Sensing Area of a Laparoscopic Probe in Minimally Invasive Cancer Surgery. In Unknown Conference (pp. 260-270). Springer Nature Switzerland. doi:10.1007/978-3-031-43996-4_25
Formulating a method to analyse the differential expression of co-occurrence networks for small-sampled microbiome data
Gadhia, N., Smyrnakis, M., Liu, P. -Y., Blake, D., Hay, M., Nguyen, A., . . . Krishna, R. (2023). Formulating a method to analyse the differential expression of co-occurrence networks for small-sampled microbiome data. In 14TH ACM CONFERENCE ON BIOINFORMATICS, COMPUTATIONAL BIOLOGY, AND HEALTH INFORMATICS, BCB 2023 (pp. 6 pages). doi:10.1145/3584371.3612969
CathSim: An Open-source Simulator for Endovascular Intervention
Prompt-based Zero-shot Text Classification with Conceptual Knowledge
Wang, Y., Wang, W., Chen, Q., Huang, K., Nguyen, A., & De, S. (2023). Prompt-based Zero-shot Text Classification with Conceptual Knowledge. In Proceedings of the Annual Meeting of the Association for Computational Linguistics Vol. 4 (pp. 30-38).
SimPS-Net: Simultaneous Pose & Segmentation Network of Surgical Tools
Souipas, S., Nguyen, A., Laws, S. G., Davies, B. L., & Baena, F. R. Y. (2023). SimPS-Net: Simultaneous Pose & Segmentation Network of Surgical Tools. IEEE Transactions on Medical Robotics and Bionics, 1. doi:10.1109/tmrb.2023.3291022
SimPS-Net: Simultaneous Pose & Segmentation Network of Surgical Tools
Souipas, S., Nguyen, A., Laws, S., Davies, B., & Rodriguez Y Baena, F. (2023). SimPS-Net: Simultaneous Pose & Segmentation Network of Surgical Tools. In Proceedings of The 15th Hamlyn Symposium on Medical Robotics 2023 (pp. 71-72). The Hamlyn Centre for Robotic Surgery. doi:10.31256/hsmr2023.36
In-Vivo Validation of a Novel Robotic Platform for Endovascular Intervention
Dagnino, G., Kundrat, D., Kwok, T. M. Y., Abdelaziz, M. E. M. K., Chi, W., Nguyen, A., . . . Yang, G. -Z. (2023). In-Vivo Validation of a Novel Robotic Platform for Endovascular Intervention. IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING, 70(6), 1786-1794. doi:10.1109/TBME.2022.3227734
Self-Supervised Learning for Point Clouds Data: A Survey
Fusing external knowledge resources for natural language understanding techniques: A survey
Wang, Y., Wang, W., Chen, Q., Huang, K., Nguyen, A., De, S., & Hussain, A. (2023). Fusing external knowledge resources for natural language understanding techniques: A survey. Information Fusion, 92, 190-204. doi:10.1016/j.inffus.2022.11.025
Multi-task adaptive pooling enabled synergetic learning of RNA modification across tissue, type and species from low-resolution epitranscriptomes
Song, Y., Wang, Y., Wang, X., Huang, D., Nguyen, A., & Meng, J. (2023). Multi-task adaptive pooling enabled synergetic learning of RNA modification across tissue, type and species from low-resolution epitranscriptomes. BRIEFINGS IN BIOINFORMATICS. doi:10.1093/bib/bbad105
Machine learning-based framework for optimally solving the analytical inverse kinematics for redundant manipulators
Vu, M. N., Beck, F., Schwegel, M., Hartl-Nesic, C., Nguyen, A., & Kugi, A. (2023). Machine learning-based framework for optimally solving the analytical inverse kinematics for redundant manipulators. Mechatronics, 91, 102970. doi:10.1016/j.mechatronics.2023.102970
A Client-Server Deep Federated Learning for Cross-Domain Surgical Image Segmentation
Subedi, R., Gaire, R. R., Ali, S., Nguyen, A., Stoyanov, D., & Bhattarai, B. (2023). A Client-Server Deep Federated Learning for Cross-Domain Surgical Image Segmentation. In Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics Vol. 14314 LNCS (pp. 21-33). doi:10.1007/978-3-031-44992-5_3
Language-driven Scene Synthesis using Multi-conditional Diffusion Model
An, D. V., Minh, N. V., Toan, T. N., Huang, B., Dzung, N., Thieu, V., & Anh, N. (2023). Language-driven Scene Synthesis using Multi-conditional Diffusion Model. In ADVANCES IN NEURAL INFORMATION PROCESSING SYSTEMS 36 (NEURIPS 2023) (pp. 23 pages). Retrieved from https://www.webofscience.com/
Learning to Terminate in Object Navigation
Song, Y., Nguyen, A., & Lee, C. Y. (2023). Learning to Terminate in Object Navigation. In Proceedings of Machine Learning Research Vol. 222 (pp. 1247-1262).
Music-Driven Group Choreography
Le, N., Pham, T., Do, T., Tjiputra, E., Tran, Q. D., & Nguyen, A. (2023). Music-Driven Group Choreography. In 2023 IEEE/CVF CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR) (pp. 8673-8682). doi:10.1109/CVPR52729.2023.00838
Open-Vocabulary Affordance Detection in 3D Point Clouds
Nguyen, T., Vu, M. N., Vuong, A., Nguyen, D., Vo, T., Le, N., & Nguyen, A. (2023). Open-Vocabulary Affordance Detection in 3D Point Clouds. In IEEE International Conference on Intelligent Robots and Systems (pp. 5692-5698). doi:10.1109/IROS55552.2023.10341553
Preface
Bhattarai, B., Rau, A., Namburete, A., Caramalau, R., Stoyanov, D., Ali, S., & Nguyen, A. (2023). Preface (Vol. 14314 LNCS).
Reducing Training Time in Cross-Silo Federated Learning using Multigraph Topology
Tuong, D., Nguyen, B. X., Vuong, P., Toan, T., Tjiputra, E., Tran, Q. D., & Anh, N. (2023). Reducing Training Time in Cross-Silo Federated Learning using Multigraph Topology. In 2023 IEEE/CVF INTERNATIONAL CONFERENCE ON COMPUTER VISION (ICCV 2023) (pp. 19352-19362). doi:10.1109/ICCV51070.2023.01778
Self-Supervised Learning for Point Clouds through Multi-crop Mutual Prediction
Zeng, C., Wang, W., Xiao, J., Nguyen, A., & Yue, Y. (2023). Self-Supervised Learning for Point Clouds through Multi-crop Mutual Prediction. In 2023 IEEE 4th International Conference on Pattern Recognition and Machine Learning Prml 2023 (pp. 160-167). doi:10.1109/PRML59573.2023.10348385
Uncertainty-aware Label Distribution Learning for Facial Expression Recognition
Le, N., Nguyen, K., Tran, Q., Tjiputra, E., Le, B., & Nguyen, A. (2023). Uncertainty-aware Label Distribution Learning for Facial Expression Recognition. In 2023 IEEE/CVF WINTER CONFERENCE ON APPLICATIONS OF COMPUTER VISION (WACV) (pp. 6077-6086). doi:10.1109/WACV56688.2023.00603
2022
Long-tailed Instance Segmentation using Gumbel Optimized Loss
Self-supervised Depth Estimation in Laparoscopic Image Using 3D Geometric Consistency
Huang, B., Zheng, J. -Q., Nguyen, A., Xu, C., Gkouzionis, I., Vyas, K., . . . Elson, D. S. (2022). Self-supervised Depth Estimation in Laparoscopic Image Using 3D Geometric Consistency. In MEDICAL IMAGE COMPUTING AND COMPUTER ASSISTED INTERVENTION, MICCAI 2022, PT VII Vol. 13437 (pp. 13-22). doi:10.1007/978-3-031-16449-1_2
Coarse-to-Fine Reasoning for Visual Question Answering
Nguyen, B. X., Do, T., Tran, H., Tjiputra, E., Tran, Q. D., & Nguyen, A. (2022). Coarse-to-Fine Reasoning for Visual Question Answering. In 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW). IEEE. doi:10.1109/cvprw56347.2022.00502
Simultaneous Depth Estimation and Surgical Tool Segmentation in Laparoscopic Images
Huang, B., Anh, N., Wang, S., Wang, Z., Mayer, E., Tuch, D., . . . Elson, D. S. (2022). Simultaneous Depth Estimation and Surgical Tool Segmentation in Laparoscopic Images. IEEE TRANSACTIONS ON MEDICAL ROBOTICS AND BIONICS, 4(2), 335-338. doi:10.1109/TMRB.2022.3170215
Deep Federated Learning for Autonomous Driving
Anh, N., Tuong, D., Minh, T., Nguyen, B. X., Chien, D., Tu, P., . . . Tran, Q. D. (2022). Deep Federated Learning for Autonomous Driving. In 2022 IEEE INTELLIGENT VEHICLES SYMPOSIUM (IV) (pp. 1824-1830). doi:10.1109/IV51971.2022.9827020
Generalised Zero-shot Learning for Entailment-based Text Classification with Externa Knowledge
Wang, Y., Wang, W., Chen, Q., Huang, K., Anh, N., & De, S. (2022). Generalised Zero-shot Learning for Entailment-based Text Classification with Externa Knowledge. In 2022 IEEE INTERNATIONAL CONFERENCE ON SMART COMPUTING (SMARTCOMP 2022) (pp. 19-25). doi:10.1109/SMARTCOMP55677.2022.00018
Long-Tailed Instance Segmentation Using Gumbel Optimized Loss
Alexandridis, K. P., Deng, J., Nguyen, A., & Luo, S. (2022). Long-Tailed Instance Segmentation Using Gumbel Optimized Loss. In Unknown Book (Vol. 13670, pp. 353-369). doi:10.1007/978-3-031-20080-9_21
Occlusion-Robust Visual Markerless Bone Tracking for Computer-Assisted Orthopedic Surgery
Hu, X., Anh, N., & Rodriguez y Baena, F. (2022). Occlusion-Robust Visual Markerless Bone Tracking for Computer-Assisted Orthopedic Surgery. IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT, 71, 11 pages. doi:10.1109/TIM.2021.3134764
2021
Light-Weight Deformable Registration Using Adversarial Learning With Distilling Knowledge
Tran, M. Q., Tuong, D., Huy, T., Tjiputra, E., Tran, Q. D., & Anh, N. (2022). Light-Weight Deformable Registration Using Adversarial Learning With Distilling Knowledge. IEEE TRANSACTIONS ON MEDICAL IMAGING, 41(6), 1443-1453. doi:10.1109/TMI.2022.3141013
Global-local attention for emotion recognition
Le, N., Nguyen, K., Nguyen, A., & Le, B. (2021). Global-local attention for emotion recognition. NEURAL COMPUTING & APPLICATIONS. doi:10.1007/s00521-021-06778-x
Graph-based Person Signature for Person Re-Identifications
Nguyen, B. X., Nguyen, B. D., Do, T., Tjiputra, E., Tran, Q. D., & Nguyen, A. (2021). Graph-based Person Signature for Person Re-Identifications. In 2021 IEEE/CVF CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION WORKSHOPS, CVPRW 2021 (pp. 3487-3496). doi:10.1109/CVPRW53098.2021.00388
Graph-based person signature for person re-identifications
Nguyen, B. X., Nguyen, B. D., Do, T., Tjiputra, E., Tran, Q. D., & Nguyen, A. (2021). Graph-based person signature for person re-identifications. In IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops (pp. 3487-3496). doi:10.1109/CVPRW53098.2021.00388
An MR-Safe Endovascular Robotic Platform: Design, Control, and Ex-Vivo Evaluation
Kundrat, D., Dagnino, G., Kwok, T. M. Y., Abdelaziz, M. E. M. K., Chi, W., Nguyen, A., . . . Yang, G. -Z. (2021). An MR-Safe Endovascular Robotic Platform: Design, Control, and Ex-Vivo Evaluation. IEEE Transactions on Biomedical Engineering. doi:10.1109/TBME.2021.3065146
Autonomous Navigation with Mobile Robots Using Deep Learning and the Robot Operating System
Nguyen, A., & Tran, Q. D. (2021). Autonomous Navigation with Mobile Robots Using Deep Learning and the Robot Operating System. In Studies in Computational Intelligence (Vol. 962, pp. 177-195). doi:10.1007/978-3-030-75472-3_5
Multiple Meta-model Quantifying for Medical Visual Question Answering
Do, T., Nguyen, B. X., Tjiputra, E., Tran, M., Tran, Q. D., & Anh, N. (2021). Multiple Meta-model Quantifying for Medical Visual Question Answering. In MEDICAL IMAGE COMPUTING AND COMPUTER ASSISTED INTERVENTION - MICCAI 2021, PT V Vol. 12905 (pp. 64-74). doi:10.1007/978-3-030-87240-3_7
Self-supervised generative adversarial network for depth estimation in laparoscopic images
Huang, B., Zheng, J. -Q., Nguyen, A., Tuch, D., Vyas, K., Giannarou, S., & Elson, D. S. (2021). Self-supervised generative adversarial network for depth estimation in laparoscopic images. In International Conference on Medical Image Computing and Computer-Assisted Intervention (pp. 227-237). Springer, Cham.
2020
Autonomous Navigation with Mobile Robots using Deep Learning and the Robot Operating System
Nguyen, A., & Tran, Q. (2020). Autonomous Navigation with Mobile Robots using Deep Learning and the Robot Operating System. Retrieved from https://arxiv.org/abs/2012.02417v2
Autonomous Navigation in Complex Environments with Deep Multimodal Fusion Network
Nguyen, A., Nguyen, N., Tran, K., Tjiputra, E., & Tran, Q. D. (2020). Autonomous Navigation in Complex Environments with Deep Multimodal Fusion Network. In IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2020.
BeetleBot: A Multi-Purpose AI-Driven Mobile Robot for Realistic Environments
Nguyen, A., Tjiputra, E., & Tran, Q. D. (2020). BeetleBot: A Multi-Purpose AI-Driven Mobile Robot for Realistic Environments. In Proceedings of UKRAS20 Conference: Robots into the real world.
Collaborative Robot-Assisted Endovascular Catheterization with Generative Adversarial Imitation Learning
Chi, W., Dagnino, G., Kwok, T. M. Y., Nguyen, A., Kundrat, D., Abdelaziz, M. E. M. K., . . . Yang, G. Z. (2020). Collaborative Robot-Assisted Endovascular Catheterization with Generative Adversarial Imitation Learning. In 2020 International Conference on Robotics and Automation (ICRA).
End-to-End Real-time Catheter Segmentation with Optical Flow-Guided Warping during Endovascular Intervention
Nguyen, A., Kundrat, D., Dagnino, G., Chi, W., Abdelaziz, M. E. M. K., Guo, Y., . . . Yang, G. -Z. (2020). End-to-End Real-time Catheter Segmentation with Optical Flow-Guided Warping during Endovascular Intervention. In 2020 IEEE International Conference on Robotics and Automation (ICRA).
Hybrid Data-Driven and Analytical Model for Kinematic Control of a Surgical Robotic Tool
Cursi, F., Nguyen, A., & Yang, G. -Z. (2020). Hybrid Data-Driven and Analytical Model for Kinematic Control of a Surgical Robotic Tool. arXiv e-prints, arXiv-2006.
Nonlinearity Compensation in a Multi-DoF Shoulder Sensing Exosuit for Real-Time Teleoperation
Varghese, R. J., Nguyen, A., Burdet, E., Yang, G. -Z., & Lo, B. P. L. (2020). Nonlinearity Compensation in a Multi-DoF Shoulder Sensing Exosuit for Real-Time Teleoperation. In International Conference on Soft Robotics (RoboSoft), 2020..
2019
Object captioning and retrieval with natural language
Nguyen, A., Tran, Q. D., Do, T. -T., Reid, I., Caldwell, D. G., & Tsagarakis, N. G. (2019). Object captioning and retrieval with natural language. In Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops (pp. 0).
Real-time 6DOF pose relocalization for event cameras with stacked spatial LSTM networks
Nguyen, A., Do, T. -T., Caldwell, D. G., & Tsagarakis, N. G. (2019). Real-time 6DOF pose relocalization for event cameras with stacked spatial LSTM networks. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops.
Scene Understanding for Autonomous Manipulation with Deep Learning
Nguyen, A. (2019). Scene Understanding for Autonomous Manipulation with Deep Learning. arXiv preprint arXiv:1903.09761.
V2CNet: A Deep Learning Framework to Translate Videos to Commands for Robotic Manipulation
Nguyen, A., Do, T. -T., Reid, I., Caldwell, D. G., & Tsagarakis, N. G. (2019). V2CNet: A Deep Learning Framework to Translate Videos to Commands for Robotic Manipulation. abs/1903.10869.
2018
Affordancenet: An end-to-end deep learning approach for object affordance detection
Do*, T. -T., Nguyen*, A., & Reid, I. (2018). Affordancenet: An end-to-end deep learning approach for object affordance detection. In 2018 IEEE International Conference on Robotics and Automation (ICRA).
Translating Videos to Commands for Robotic Manipulation with Deep Recurrent Neural Networks
Anh, N., Kanoulas, D., Muratore, L., Caldwell, D. G., & Tsagarakis, N. G. (2018). Translating Videos to Commands for Robotic Manipulation with Deep Recurrent Neural Networks. In 2018 IEEE INTERNATIONAL CONFERENCE ON ROBOTICS AND AUTOMATION (ICRA) (pp. 3782-3788). Retrieved from https://www.webofscience.com/
2017
Object-based affordances detection with convolutional neural networks and dense conditional random fields
Nguyen, A., Kanoulas, D., Caldwell, D. G., & Tsagarakis, N. G. (2017). Object-based affordances detection with convolutional neural networks and dense conditional random fields. In 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) (pp. 5908-5915). IEEE.
Vision-based foothold contact reasoning using curved surface patches
Kanoulas, D., Zhou, C., Nguyen, A., Kanoulas, G., Caldwell, D. G., & Tsagarakis, N. G. (2017). Vision-based foothold contact reasoning using curved surface patches. In 2017 IEEE-RAS 17th International Conference on Humanoid Robotics (Humanoids) (pp. 121-128). IEEE.
2016
Detecting object affordances with convolutional neural networks
Nguyen, A., Kanoulas, D., Caldwell, D. G., & Tsagarakis, N. G. (2016). Detecting object affordances with convolutional neural networks. In 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) (pp. 2765-2770). IEEE.
Preparatory object reorientation for task-oriented grasping
Nguyen, A., Kanoulas, D., Caldwell, D. G., & Tsagarakis, N. G. (2016). Preparatory object reorientation for task-oriented grasping. In 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) (pp. 893-899). IEEE.
2014
Contextual labeling 3D point clouds with conditional random fields
Nguyen, A., & Le, B. (2014). Contextual labeling 3D point clouds with conditional random fields. In Asian Conference on Intelligent Information and Database Systems (pp. 581-590). Springer, Cham.
2013
3D point cloud segmentation: A survey
Nguyen, A., & Le, B. (2013). 3D point cloud segmentation: A survey. In Robotics, Automation and Mechatronics (RAM), 2013 IEEE Conference on (pp. 225-230). IEEE.