Endoscopic Image Classification using Block-based Color Feature Descriptors. - Viet Dung Nguyen; Minh Phuong Luong; Hoang Khoi Do (RIVF, 2022)

Skin Lesion Classification on Imbalanced Data Using Deep Learning with Soft Attention. - Viet Dung Nguyen; Ngoc Dung Bui; Hoang Khoi Do (Sensors, 2022)

Semantic Communication for Partial Observation Multi-agent Reinforcement Learning. - Hoang Khoi Do; Thi Quynh Dinh; Minh Duong Nguyen; Tien Hoa Nguyen (SSP, 2023)

Revisiting LARS for Large Batch Training Generalization of Neural Networks. - Hoang Khoi Do; Duong Nguyen; Hoa Nguyen; Long Tran-Thanh; Quoc-Viet Pham (CoRR, 2023)

PAT: Pixel-wise Adaptive Training for Long-tailed Segmentation. - Hoang Khoi Do; Duong Nguyen; Nguyen H. Tran; Viet Dung Nguyen (CoRR, 2024)

How Homogenizing the Channel-wise Magnitude Can Enhance EEG Classification Model? - Huyen Ngo; Hoang Khoi Do; Duong Nguyen; Viet Dung Nguyen; Lan Dang (CoRR, 2024)

Revisiting the Disequilibrium Issues in Tackling Heart Disease Classification Tasks. - Thao Hoang; Linh Nguyen; Hoang Khoi Do; Duong Nguyen; Viet Dung Nguyen (CoRR, 2024)

Towards Layer-Wise Personalized Federated Learning: Adaptive Layer Disentanglement via Conflicting Gradients. - Minh Duong Nguyen; Khanh Le; Hoang Khoi Do; Nguyen H. Tran; Duc Nguyen; Chien Trinh; Zhaohui Yang (CoRR, 2024)

PAT: Pixel-wise Adaptive Training for long-tailed segmentation. - Hoang Khoi Do; Minh-Duong Nguyen; Nguyen H. Tran; Viet Dung Nguyen (Pattern Recognit. Lett., 2025)

Text-to-3D Generation using Jensen-Shannon Score Distillation. - Hoang Khoi Do; Binh-Son Hua (CoRR, 2025)

Revisiting LARS for Large Batch Training Generalization of Neural Networks. - Hoang Khoi Do; Minh-Duong Nguyen; Nguyen Tien Hoa 001; Long Tran-Thanh; Nguyen Hoang Tran; Quoc-Viet Pham (IEEE Trans. Artif. Intell., 2025)

Knowledge Abstraction for Knowledge-based Semantic Communication: A Generative Causality Invariant Approach. - Minh-Duong Nguyen; Quoc-Viet Pham; Nguyen H. Tran; Hoang Khoi Do; Duy T. Ngo; Won-Joo Hwang (CoRR, 2025)