2026
Phat Cuong Nguyen, Anh-Tuan H. Le, Huynh-Hung Phan, Duc-Chinh Hoang, Dai-Hung Nguyen, Phu-Quy N. Duong, Doanh C. Bui, Khang Nguyen, "Multimodal Medical Data Analysis for Cancer Diagnosis and Prognosis: A Comprehensive Survey of Taxonomies, Benchmarks, and Methods" (submitted).
Thanh-Hiep Nguyen, Thuc-Dien Huynh, Doanh C. Bui, Khang Nguyen, "DISC-MIL: Disease-Semantic Knowledge Transfer and Concept-Guided Representation Learning for Whole-Slide Image Analysis" (submitted).
Tran Xuan Hieu Le, Thi Quynh Trang Tran, Doanh C. Bui, Van Duy Tran, Hoai Luan Pham, Yasuhiko Nakashima, "PaLAR: A Parallel Local-Attention Regularizer for Sparse-View CT Reconstruction" (submitted).
Ba Hung Ngo, Doanh C. Bui, Nhat-Tuong Do-Tran, Tae Jong Choi, "Learn by Direction, Not Imitation: Gradient-Driven Knowledge Distillation for Domain Adap- tation" (submitted).
Doanh C. Bui, Ba Hung Ngo, Cuong Do, Van-Dinh Nguyen, "SPACO: Spatial Awareness of Coral Reefs in Large Vision–Language Models for Visual Question Answering" (submitted).
Doanh C. Bui, Jin Tae Kwak, "Welcome new doctor: Continual learning with expert consultation and autoregressive inference for whole slide image analysis", Medical Image Analysis (Accepted).
Doanh C. Bui, Duc-Thanh Le, Khang Nguyen, "Long-Sequence Modeling for Sparse-View Computed Tomography Reconstruction", Machine Vision and Applications (Accepted).
Ngo-Kien Duong, Doanh C. Bui, Ba Hung Ngo, Tae Jong Choi, "RealDA: Bridging the domain gap with realistic synthesized images for unsupervised domain adaptation", ICT Express (Accepted).
2025
Doanh C. Bui, Hoai Luan Pham, Vu Trung Duong Le, Tuan Hai Vu, Van Duy Tran, Khang Nguyen, Yasuhiko Nakashima, “Lifelong Whole Slide Image Analysis: Online Vision-Language Adaptation and Past-to-Present Gradient Distillation”, IEEE Access, 13, 107583 – 107595, 2025
Doanh C. Bui, Thinh V. Le, Ba Hung Ngo, Tae Jong Choi, “CLEAR: Cross-Transformers With Pre-Trained Language Model for Person Attribute Recognition and Retrieval”, Pattern Recognition, 164, 111486, 2025
Ba Hung Ngo, Doanh C. Bui, Tae Jong Choi, “How to enrich cross-domain representations? Data augmentation, cycle-pseudo labeling, and category-aware graph learning”, Expert Systems with Applications, 271, 126597, 2025
Doanh C. Bui, Nghia H. Nguyen, Khang Nguyen, “UIT-OpenViIC: An open-domain benchmark for evaluating image captioning in Vietnamese”, Signal Processing: Image Communication, 140, 117430, 2025
Doanh C. Bui, Boram Song, Kyungeun Kim, Jin Tae Kwak, “Spatially-constrained and-unconstrained bi-graph interaction network for multi-organ pathology image classification”, IEEE Transactions on Medical Imaging, 44 (1), 194 – 206, 2025
2022 - 2024
Doanh C. Bui, Tam V. Nguyen, Khang Nguyen , “Transformer with multi-level grid features and depth pooling for image captioning”, Machine Vision and Applications, 35(5), 118, 2024
Tung Minh Tran, Doanh C. Bui, Tam V. Nguyen, Khang Nguyen, “Transformer-based spatio-temporal unsupervised traffic anomaly detection in aerial videos”, IEEE Transactions on Circuits and Systems for Video Technology, 34(9), 8292-8309, 2024
Doanh C. Bui, Boram Song, Kyungeun Kim, and Jin Tae Kwak. “DAX-Net: A dual-branch dual-task adaptive cross-weight feature fusion network for robust multi-class cancer classification in pathology images”, Computer Methods and Programs in Biomedicine, 248, 108112, 2024
Khang Nguyen, Thinh V. Le, Huyen Ngoc N. Van, Doanh C. Bui, “Improving human–object interaction with auxiliary semantic information and enhanced instance representation”, Pattern Recognition Letters, 175, 38-43, 2023
Khang Nguyen, Doanh C. Bui, Truc Trinh, and Nguyen D Vo, “Eaes: Effective augmented embedding spaces for text-based image captioning”, IEEE Access, 10, 32443–32452, 2022
2026
Duc-Thanh Le, Dung Do, Son T. Luu, Doanh C. Bui, "Toward Robust Dense Retrieval Using Test-Time Adaptation for Iterative Multi-Hop Question Answering" (submitted).
Vu Minh Tran, Thuc Huynh, Son T. Luu, Doanh C. Bui, "CGF-CXRMate: Image-Conditioned Clinical Context Compression and Gated Fusion for Chest X-ray Report Generation" (submitted).
Phuong Nguyen, Thuc Huynh, Doanh C. Bui, Van-Hau Pham, Khang Nguyen, "CoSlideBench: Toward Efficient Whole-Slide Image Analysis Through Continual Learning" (submitted).
Vu Minh Tran, Doanh C. Bui, Khang Nguyen, "MergeSurv: Merging-Based Continual Learning for Survival Analysis on Whole-Slide Images" (submitted).
Thuc Huynh, Tuan Le, Doanh C. Bui, "CGRL: Concept-Guided Pruning and Representation Learning for Whole-Slide Image Classification", MAPR2026 (Accepted).
Thong Doan, Doanh C. Bui, Khanh Duy Nguyen, Khang Nguyen, "Domain-Adaptive Object Detection via Pseudo-Label Self-Training and Depth Priors", MAPR2026 (Accepted).
Dung Do, Thanh Huynh, Duc Huynh, Doanh C. Bui, Khang Nguyen, "Toward Efficient Weakly Supervised Semantic Segmentation Using Only Low-Magnification Histopathological Images", MAPR2026 (Accepted).
Nhu Le, Phuong Nguyen, Tuan Le, Doanh C. Bui, Khang Nguyen, "Benchmarking Multimodal Medical Data Analysis for Cancer-Related Disease Diagnosis", MAPR2026 (Accepted).
Duc-Thanh Le, Doanh C. Bui, Mai K. Nguyen, Khang Nguyen, "Continual Merging with Test-Time Adaptation for Whole-Slide Image Analysis", MICCAI-CLIMEM, 2026 (Accepted).
Tran Xuan Hieu Le, Doanh C. Bui, Vu Trung Duong Le, Pham Hoai Luan, Khang Nguyen, Mai K. Nguyen, Tu-Bao Ho, Yasuhiko Nakashima, "CG-GLORE: A Conjugate Gradient–Based Global-Local Regularization Network for Sparse-View CT Reconstruction", British Machine Vision Conference, 2026 (Accepted).
Doanh C. Bui, Ba Hung Ngo, Pham Hoai Luan, Khang Nguyen, Mai K. Nguyen, and Yasuhiko Nakashima, “MergeSlide: Continual Model Merging and Task-to-Class Prompt-Aligned Inference for Lifelong Learning on Whole Slide Images”, In Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, Mar 6th – Mar 10th, Tucson, Arizona, USA, 2026
2023 - 2025
Ba Hung Ngo*, Doanh C. Bui*, Nhat-Tuong Do-Tran, and Choi Tae Jong, “HiGDA: Hierarchical Graph of Nodes to Learn Local-to-Global Topology for Semi-Supervised Domain Adaptation”. In Annual AAAI Conference on Artificial Intelligence, Feb. 25th – Mar. 4th, 2025
Doanh C. Bui and Jin Tae Kwak, “MECFormer: Multi-task Whole Slide Image Classification with Expert Consultation Network”, In Asian Conference on Computer Vision – ACCV, Dec. 8th – Dec. 12th, 2024
Doanh C. Bui, Trinh T. L. Vuong, and Jin Tae Kwak. “FALFormer: Feature-aware Landmarks self-attention for Whole-slide Image Classification”, In Medical Image Computing and Computer Assisted Intervention – MICCAI, Oct. 6th – Oct. 10th, 2024
Doanh C. Bui, Thinh V Le, and Ba Hung Ngo, “C2T-Net: Channel-Aware Cross-Fused Transformer-Style Networks for Pedestrian Attribute Recognition”, In Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision Workshop, 2024
TTL Vuong, Doanh C. Bui, JT Kwak, “QuIIL at T3 Challenge: Towards Automation in Life-Saving Intervention Procedures from First-Person View”, AI for Brain Lesion Detection and Trauma Video Action Recognition (BONBID-HIE Lesion Segmentation Challenge & Trauma Thompson Challenge), In Medical Image Computing and Computer Assisted Intervention – MICCAI, 202
Doanh C. Bui, Changsu Kim, Jin Tae Kwak, “Efficient semantic segmentation for computational pathology”, Medical Imaging 2024: Digital and Computational Pathology, 2024