Optimized data management for e-learning in the clouds towards Cloodle. - Mirna Adriani; Yeow Wei Choong; Ba Hung Ngo; Laurent d'Orazio; Dominique Laurent 001; Nicolas Spyratos (SoICT, 2013)

Multi-View Collaborative Learning for Semi-Supervised Domain Adaptation. - Ba Hung Ngo; Ju Hyun Kim; Yeon Jeong Chae; Sung In Cho (IEEE Access, 2021)

Semi-Supervised Domain Adaptation Using Explicit Class-Wise Matching for Domain-Invariant and Class-Discriminative Feature Learning. - Ba Hung Ngo; Jae Hyeon Park; So Jeong Park; Sung In Cho (IEEE Access, 2021)

Distilling and Refining Domain-Specific Knowledge for Semi-Supervised Domain Adaptation. - Ju Hyun Kim; Ba Hung Ngo; Jae Hyeon Park; Jung Eun Kwon; Ho Sub Lee; Sung In Cho (BMVC, 2022)

Pseudo Label Rectification via Co-Teaching and Decoupling for Multisource Domain Adaptation in Semantic Segmentation. - So Jeong Park; Hae Ju Park; Eun Su Kang; Ba Hung Ngo; Ho Sub Lee; Sung In Cho (IEEE Access, 2022)

Collaboration Between Multiple Experts for Knowledge Adaptation on Multiple Remote Sensing Sources. - Ba Hung Ngo; Ju Hyun Kim; So Jeong Park; Sung In Cho (IEEE Trans. Geosci. Remote. Sens., 2022)

Improved Knowledge Transfer for Semi-supervised Domain Adaptation via Trico Training Strategy. - Ba Hung Ngo; Yeon Jeong Chae; Jung Eun Kwon; Jae Hyeon Park; Sung In Cho (ICCV, 2023)

Towards Robust Natural-Looking Mammography Lesion Synthesis on Ipsilateral Dual-Views Breast Cancer Analysis. - Thanh-Huy Nguyen; Quang-Hien Kha; Thai Ngoc Toan Truong; Ba Thinh Lam; Ba Hung Ngo; Quang Vinh Dinh; Nguyen-Quoc-Khanh Le (ICCV (Workshops), 2023)

Multiple Tasks-Based Multi-Source Domain Adaptation Using Divide-and-Conquer Strategy. - Ba Hung Ngo; Yeon Jeong Chae; So Jeong Park; Ju Hyun Kim; Sung In Cho (IEEE Access, 2023)

Easy-to-Hard Structure for Remote Sensing Scene Classification in Multitarget Domain Adaptation. - Ba Hung Ngo; Yeon Jeong Chae; Jae Hyeon Park; Ju Hyun Kim; Sung In Cho (IEEE Trans. Geosci. Remote. Sens., 2023)

Adversarial representation teaching with perturbation-agnostic student-teacher structure for semi-supervised learning. - Jae Hyeon Park; Ju Hyun Kim; Ba Hung Ngo; Jung Eun Kwon; Sung In Cho (Appl. Intell., 2023)

Point2Lane: Polyline-Based Reconstruction With Principal Points for Lane Detection. - Yeon Jeong Chae; So Jeong Park; Eun Su Kang; Moon Ju Chae; Ba Hung Ngo; Sung In Cho (IEEE Trans. Intell. Transp. Syst., 2023)

Learning CNN on ViT: A Hybrid Model to Explicitly Class-Specific Boundaries for Domain Adaptation. - Ba Hung Ngo; Nhat-Tuong Do-Tran; Tuan-Ngoc Nguyen; Hae-Gon Jeon; Tae Jong Choi (CVPR, 2024)

Dual Dynamic Consistency Regularization for Semi-Supervised Domain Adaptation. - Ba Hung Ngo; Ba Thinh Lam; Thanh-Huy Nguyen; Quang Vinh Dinh; Tae Jong Choi (IEEE Access, 2024)

LiteGPT: Large Vision-Language Model for Joint Chest X-ray Localization and Classification Task. - Khai Le-Duc; Ryan Zhang; Ngoc Son Nguyen; Tan-Hanh Pham; Anh Dao; Ba Hung Ngo; Anh Totti Nguyen; Truong-Son Hy (CoRR, 2024)

HiGDA: Hierarchical Graph of Nodes to Learn Local-to-Global Topology for Semi-Supervised Domain Adaptation. - Ba Hung Ngo; Doanh C. Bui; Nhat-Tuong Do-Tran; Tae Jong Choi (AAAI, 2025)

How to enrich cross-domain representations? Data augmentation, cycle-pseudo labeling, and category-aware graph learning. - Ba Hung Ngo; Doanh C. Bui; Tae Jong Choi (Expert Syst. Appl., 2025)

CLEAR: Cross-Transformers With Pre-Trained Language Model for Person Attribute Recognition and Retrieval. - Doanh C. Bui; Thinh V. Le; Ba Hung Ngo; Tae Jong Choi (Pattern Recognit., 2025)