LĨNH VỰC NGHIÊN CỨU

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CÔNG TRÌNH KHOA HỌC TIÊU BIỂU

Bài báo hội nghị:

1. Hanh Nguyen, Huu Tuong Tu, Vu Huan, Thien Van Luong, Nguyen Tien Cuong, Nguyen Thi Thu Trang, “Domain-Aware Mispronunciation Detection and Diagnosis Using Language-Specific Statistical Graphs,” Proceedings of INTERSPEECH 2026, ICC Sydney, Sydney, Australia.
2. T.-C. Vuong, M. X. Trang, T.-C. Nguyen, V.-D. Ngo, and T. V. Luong, “A training-free mixture-of-agents framework for multi-document summarization using LLMs and knowledge graphs,” Neural Computing and Applications, 2026.
3. T. H. Truong, K. V. Ha, D. T. Tran, H. Vu, T. V. Luong, T.-C. Nguyen, and T. T. T. Nguyen, “Mispronunciation detection and diagnosis without model training: A retrieval-based approach,” in Proc. IEEE ICASSP, 2026.
4. D. N. Tran, T. D. Gian, T.-H. Nguyen, M. X. Trang, T.-C. Nguyen, and T. V. Luong, “DeepHSIC: Deep Learning-based Signal Detector for Hybrid Downlink IM-NOMA,” in Proc. CITA, 2026.  (Scopus)
5. H.-N. D. Vuong, D.-A. Bui, T.-N. Nguyen, K.-N. T. Nguyen, M. X. Trang, T.-C. Nguyen, V.-D. Pham, and T. V. Luong, “Enhancing Explainable Cardiac Diagnosis with Guide-Grounded Multimodal LLMs,” in Proc. CITA, 2026. (Scopus)
6. G.-B. Nguyen, H.-H. Nguyen, T.-C. Vuong, M. X. Trang, D. Q. Ngo, T.-C. Nguyen, H. Vu, and T. V. Luong, “HERMES: Contrast-Aware Knowledge Graph Reasoning from Clinical Notes for Patient Outcome Prediction,” in Proc. CITA, 2026. (Scopus)
7. Ha, Vu Thanh Dat, Tuan Huy Tran, Gang Thep Dong, Ngoc Chien Chu, Huan Vu, and Tien Cuong Nguyen. Domain-Aware Enhancements to Vision-Language Models for Urban Traffic Safety Question Answering. In Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV 2025) Workshops, Honolulu, HI, USA.
8. Viet Hung Duong, Van Duy Truong, Duy Khanh Dinh, Huan Vu, Thien Van Luong, Tien Cuong Nguyen. Augmentation, Distillation and Optimization: A Practical Pipeline for Fisheye Object Detection on Edge Devices. In Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV 2025) Workshops, Honolulu, HI, USA.
9. Huu Tuong Tu, Vu Huan, Tien Cuong Nguyen, Hy Ngo Dien, Nguyen Thi Thu Trang. Synthetic Data-Driven One-to-One Alignment for Any-to-Any Voice Conversion. In Proceedings of the International Conference on Empirical Methods in Natural Language Processing (EMNLP 2025), China.
10. Hung Duong Viet, Duong Phan Huong, Huan Vu, Quyen Nguyen Duc, Hao Pham Duc, Toan Le Quang, Sy Nguyen Ba, Dung Do Tien, Sang Dinh Viet, Cuong Nguyen Tien, Hoang Pham Huy, Hy Ngo Dien. ThyroidXL: Advancing Thyroid Nodule Diagnosis with an Expert-Labeled, Pathology-Validated Dataset. In Proceedings of the International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI 2025), Seoul, South Korea.
11. Huu Tuong Tu, Luong Thanh Long, Vu Huan, Nguyen Thi Phuong Thao , Nguyen Van Thang, Nguyen Tien Cuong, Nguyen Thi Thu Trang. Voice Conversion for Low-Resource Languages via Knowledge Transfer and Domain-Adversarial Training. In Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2025), India.
12. Thien Van Luong, Phuc Si Nguyen Huu, Khanh Duy Dinh, Hung Viet Duong, Sam Duy Hong Vo, Huan Vu, Hoang Minh Tuan, and Cuong Tien Nguyen. Motorcyclist helmet violation detection framework by leveraging robust ensemble and augmentation methods. In Proceedings of the Conference on Computer Vision and Pattern Recognition (CVPR 2024) Workshops, Seattle, WA, USA.
13. Hung Viet Duong, Quyen Duc Nguyen, Thien Van Luong, Huan Vu, and Cuong Tien Nguyen. Robust data augmentation and ensemble method for object detection in fisheye camera images. In Proceedings of the Conference on Computer Vision and Pattern Recognition (CVPR 2024) Workshops, Seattle, WA, USA.
14. Viet Hung Duong, Quang Huy Tran, Huu Si Phuc Nguyen, Duc Quyen Nguyen, Tien Cuong Nguyen. Helmet rule violation detection for motorcyclists using a custom tracking framework and advanced object detection techniques.  In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2023) Workshops, Vancouver, BC, Canada