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.
Two-view Graph Neural Networks for Knowledge Graph Completion
Vinh Tong, Dai Quoc Nguyen, Dinh Phung, Dat Quoc Nguyen (ESWC 2023)
A Vietnamese Spelling Correction System
Thien Hai Nguyen, Thinh Pham, Khoi Minh Le, Manh Luong, Nguyen Luong Tran, Hieu Man, Dang Minh Nguyen, Tuan Anh Luu, Thien Huu Nguyen, Hung Bui, Dinh Phung and Dat Quoc Nguyen (IUI 2023)
Retrieving Relevant Context to Align Representations for Cross-lingual Event Detection
Nguyen Van Chien, Linh Van Ngo, Nguyen Huu Thien (Findings of ACL 2023)
XPhoneBERT: A Pre-trained Multilingual Model for Phoneme Representations for Text-to-Speech
Linh The Nguyen, Thinh Pham, Dat Quoc Nguyen (InterSpeech 2023)
Combining Heterogeneous Structures for Event Causality Identification
Amir Pouran Ben Veyseh, Franck Dernoncourt and Thien Huu Nguyen (Interspeech 2023)
Vector Quantized Wasserstein Auto-Encoder
Tung-Long Vuong, Trung Le, He Zhao, Chuanxia Zheng, Mehrtash Harandi, Jianfei Cai, Dinh Phung (ICML 2023)
Self-Attention Amortized Distributional Projection Optimization for Sliced Wasserstein Point-Cloud Reconstruction
Khai Nguyen, Dang Nguyen, Nhat Ho (ICML 2023)
Simple Transferability Estimation for Regression Tasks
Cuong N. Nguyen, Phong Tran, Lam Si Tung Ho, Vu Dinh, Anh T. Tran, Tal Hassner, Cuong V. Nguyen (UAI 2023)
Time-of-Day Neural Style Transfer for Architectural Photographs
Yingshu Chen; Tuan-Anh Vu; Ka-Chun Shum; Sai-Kit Yeung; Binh-Son Hua (2022 IEEE International Conference on Computational Photography (ICCP))
PointInverter: Point Cloud Reconstruction and Editing via a Generative Model with Shape Priors
Jaeyeon Kim, Binh-Son Hua, Duc Thanh Nguyen, Sai-Kit Yeung (WACV 2023)
Vicinal Counting Networks
Viresh Ranjan, Minh Hoai (CVPR 2022 Workshop)
Clustering Plotted Data by Image Segmentation
Tarek Naous, Srinjay Sarkar, Abubakar Abid, James Zou (CVPR 2022)