Ngo Van Linh
Orcid: 0000-0002-0011-5137Affiliations:
- Hanoi University of Science and Technology, HUST, School of Information and Communication Technology, Vietnam
According to our database1,
Ngo Van Linh
authored at least 39 papers
between 2012 and 2024.
Collaborative distances:
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Bibliography
2024
Continual variational dropout: a view of auxiliary local variables in continual learning.
Mach. Learn., January, 2024
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
2023
IEEE Trans. Knowl. Data Eng., April, 2023
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023
Retrieving Relevant Context to Align Representations for Cross-lingual Event Detection.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023
2022
From implicit to explicit feedback: A deep neural network for modeling sequential behaviours and long-short term preferences of online users.
Neurocomputing, 2022
Balancing stability and plasticity when learning topic models from short and noisy text streams.
Neurocomputing, 2022
Neurocomputing, 2022
Reducing Catastrophic Forgetting in Neural Networks via Gaussian Mixture Approximation.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2022
Auxiliary Local Variables for Improving Regularization/Prior Approach in Continual Learning.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2022
Multilingual SubEvent Relation Extraction: A Novel Dataset and Structure Induction Method.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022
Proceedings of the 29th International Conference on Computational Linguistics, 2022
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022
2021
2020
2019
Eliminating overfitting of probabilistic topic models on short and noisy text: The role of dropout.
Int. J. Approx. Reason., 2019
Proceedings of the 2019 IEEE-RIVF International Conference on Computing and Communication Technologies, 2019
Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019
From Implicit to Explicit Feedback: A deep neural network for modeling the sequential behavior of online users.
Proceedings of The 11th Asian Conference on Machine Learning, 2019
Employing the Correspondence of Relations and Connectives to Identify Implicit Discourse Relations via Label Embeddings.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019
2018
Int. J. Approx. Reason., 2018
Proceedings of the Ninth International Symposium on Information and Communication Technology, 2018
2017
Knowl. Inf. Syst., 2017
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2017
2016
Proceedings of the 2016 IEEE RIVF International Conference on Computing & Communication Technologies, 2016
Enabling Hierarchical Dirichlet Processes to Work Better for Short Texts at Large Scale.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2016
2015
Effective and Interpretable Document Classification Using Distinctly Labeled Dirichlet Process Mixture Models of von Mises-Fisher Distributions.
Proceedings of the Database Systems for Advanced Applications, 2015
2014
An interpretable method for text summarization based on simplicial non-negative matrix factorization.
Proceedings of the Fifth Symposium on Information and Communication Technology, 2014
Proceedings of the Knowledge and Systems Engineering, 2014
2013
Document clustering using dirichlet process mixture model of von Mises-Fisher distributions.
Proceedings of the 4th International Symposium on Information and Communication Technology, 2013
Document classification using semi-supervived mixture model of von Mises-Fisher distributions on document manifold.
Proceedings of the 4th International Symposium on Information and Communication Technology, 2013
Document clustering using mixture model of von Mises-Fisher distributions on document manifold.
Proceedings of the 2013 International Conference on Soft Computing and Pattern Recognition, 2013
Multi-labeled document classification using semi-supervived mixture model of Watson distributions on document manifold.
Proceedings of the 2013 International Conference on Soft Computing and Pattern Recognition, 2013
2012
Proceedings of the Symposium on Information and Communication Technology 2012, 2012
Improving Vietnamese Web Page Classification by Combining Hybrid Feature Selection and Label Propagation with Link Information.
Proceedings of the Context-Aware Systems and Applications - First International Conference, 2012