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Tu Dinh Nguyen
Tu Dinh Nguyen
Senior Applied Research Scientist, VinAI
Verified email at vinai.io
Title
Cited by
Cited by
Year
A Novel Embedding Model for Knowledge Base Completion Based on Convolutional Neural Network
DQ Nguyen, TD Nguyen, DQ Nguyen, D Phung
arXiv preprint arXiv:1712.02121, 2017
6072017
Dual Discriminator Generative Adversarial Nets
TD Nguyen, T Le, H Vu, D Phung
arXiv preprint arXiv:1709.03831, 2017
2992017
MGAN: Training Generative Adversarial Nets with Multiple Generators
Q Hoang, TD Nguyen, T Le, D Phung
273*2018
A capsule network-based embedding model for knowledge graph completion and search personalization
T Vu, TD Nguyen, DQ Nguyen, D Phung
Proceedings of the 2019 Conference of the North American Chapter of the …, 2019
1982019
Learning vector representation of medical objects via EMR-driven nonnegative restricted Boltzmann machines (eNRBM)
T Tran, TD Nguyen, D Phung, S Venkatesh
Journal of biomedical informatics 54, 96-105, 2015
1622015
Animal recognition and identification with deep convolutional neural networks for automated wildlife monitoring
H Nguyen, SJ Maclagan, TD Nguyen, T Nguyen, P Flemons, K Andrews, ...
2017 IEEE International Conference on Data Science and Advanced Analytics …, 2017
1392017
Robust anomaly detection in videos using multilevel representations
H Vu, TD Nguyen, T Le, W Luo, D Phung
Proceedings of the AAAI Conference on Artificial Intelligence 33 (01), 5216-5223, 2019
702019
Large-scale online kernel learning with random feature reparameterization
TD Nguyen, T Le, H Bui, D Phung
Proceedings of the 26th International Joint Conference on Artificial …, 2017
502017
Learning parts-based representations with nonnegative restricted boltzmann machine
TD Nguyen, T Tran, D Phung, S Venkatesh
Asian Conference on Machine Learning, 133-148, 2013
382013
Learning graph representation via frequent subgraphs
D Nguyen, W Luo, TD Nguyen, S Venkatesh, D Phung
Proceedings of the 2018 SIAM International Conference on Data Mining, 306-314, 2018
372018
Energy-Based Localized Anomaly Detection in Video Surveillance
H Vu, TD Nguyen, A Travers, S Venkatesh, D Phung
Pacific-Asia Conference on Knowledge Discovery and Data Mining, 641-653, 2017
352017
A convolutional neural network-based model for knowledge base completion and its application to search personalization
DQ Nguyen, DQ Nguyen, TD Nguyen, D Phung
Semantic Web 10 (5), 947-960, 2019
322019
Tensor-variate restricted Boltzmann machines
TD Nguyen, T Tran, D Phung, S Venkatesh
Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015
302015
Sqn2vec: Learning sequence representation via sequential patterns with a gap constraint
D Nguyen, W Luo, TD Nguyen, S Venkatesh, D Phung
Joint European Conference on Machine Learning and Knowledge Discovery in …, 2019
282019
A Capsule Network-based Embedding Model for Knowledge Graph Completion and Search Personalization
DQ Nguyen, T Vu, TD Nguyen, DQ Nguyen, D Phung
arXiv preprint arXiv:1808.04122, 2018
28*2018
A Capsule Network-based Embedding Model for Knowledge Graph Completion and Search Personalization
DQ Nguyen, T Vu, TD Nguyen, DQ Nguyen, D Phung
arXiv preprint arXiv:1808.04122, 2018
28*2018
Dual space gradient descent for online learning
T Le, TD Nguyen, V Nguyen, D Phung
Proceedings of the 30th International Conference on Neural Information …, 2016
282016
Nonparametric budgeted stochastic gradient descent
T Le, V Nguyen, TD Nguyen, D Phung
Artificial Intelligence and Statistics, 654-572, 2016
282016
Latent Patient Profile Modelling and Applications with Mixed-Variate Restricted Boltzmann Machine
TD Nguyen, T Tran, D Phung, S Venkatesh
Advances in Knowledge Discovery and Data Mining 7818, 123-135, 2013
272013
Universal graph transformer self-attention networks
DQ Nguyen, TD Nguyen, D Phung
Companion Proceedings of the Web Conference 2022, 193-196, 2022
232022
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