Focusing on Machine Learning, Computer Vision, and Natural Language Processing, our research aims to address fundamental problems in these areas and develop practical methods that enable impactful applications. As part of the Vingroup ecosystem, we are well-positioned to be at the forefront of the digitalization of customer experience via AI-based systems that can understand natural human interactions through voices, gestures, behaviors, or from smart sensors and devices. Due to our unique location we are also naturally drawn towards problems for developing countries, which might otherwise be overlooked in the research community.
Focusing on Machine Learning, Computer Vision, and Natural Language Processing, our research aims to address fundamental problems in these areas and develop practical methods that enable impactful applications. As part of the Vingroup ecosystem, we are well-positioned to be at the forefront of the digitalization of customer experience via AI-based systems that can understand natural human interactions through voices, gestures, behaviors, or from smart sensors and devices. Due to our unique location we are also naturally drawn towards problems for developing countries, which might otherwise be overlooked in the research community.
Focusing on Machine Learning, Computer Vision, and Natural Language Processing, our research aims to address fundamental problems in these areas and develop practical methods that enable impactful applications. As part of the Vingroup ecosystem, we are well-positioned to be at the forefront of the digitalization of customer experience via AI-based systems that can understand natural human interactions through voices, gestures, behaviors, or from smart sensors and devices. Due to our unique location we are also naturally drawn towards problems for developing countries, which might otherwise be overlooked in the research community.
Improving Mini-batch Optimal Transport via Partial Transportation
Khai Nguyen, Dang Nguyen, The-Anh Vu Le, Tung Pham, Nhat Ho. (ICML 2022 - to appear)
On Transportation of Mini-batches: A Hierarchical Approach
Khai Nguyen, Dang Nguyen, Quoc Nguyen, Tung Pham, Hung Bui, Dinh Phung, Trung Le, Nhat Ho. (ICML 2022 - to appear)
Entropic Gromov-Wasserstein between Gaussian Distributions
Khang Le, Dung Le, Huy Nguyen, Dat Do, Tung Pham, Nhat Ho. (ICML 2022 - to appear)
Robust Bayesian Recourse
Tuan-Duy, Ngoc Bui, Duy Nguyen, Man-Chung Yue, Viet Anh Nguyen (UAI 2022 - to appear)
Cycle Class Consistency with Distributional Optimal Transport and Knowledge Distillation for Unsupervised Domain Adaptation
Tuan Nguyen, Van Nguyen, Trung Le, He Zhao, Quan Hung Tran, Dinh Phung (UAI 2022 - to appear)
Node Co-occurrence based Graph Neural Networks for Knowledge Graph Link Prediction
Dai Quoc Nguyen*, Vinh Tong*, Dinh Phung and Dat Quoc Nguyen (WSDM 2022 - to appear)
Improving kernel online learning with a snapshot memory
Trung Le, Khanh Nguyen, Dinh Phung (Machine Learning Journal 2022)
Vietnamese Speech-based Question Answering over Car Manuals
Tin Duy Vo, Manh Tien Luong, Duong Minh Le, Hieu Minh Tran, Nhan Tri Do, Tuan-Duy Hien Nguyen, Thien Hai Nguyen, Hung Hai Bui, Dat Quoc Nguyen and Dinh Quoc Phung (IUI 2022)
Anh Tuan Bui, Trung Le, Quan Hung Tran, He Zhao, Dinh Phung (ICLR 2022)
Counterfactual Plans under Distributional Ambiguity
Bui Hong Ngoc, Duy Nguyen, Nguyen Viet Anh (ICLR 2022)
Vu Trong Hieu, Tran Minh Toan, Man-Chung Yue, Nguyen Viet Anh (ICLR 2022)
KL Guided Domain Adaptation
A. Tuan Nguyen, Toan Tran, Yarin Gal, Philip H. S. Torr, Atılım Güneş Baydin (ICLR 2022)