| Eliminating overfitting of probabilistic topic models on short and noisy text: The role of dropout C Ha, VD Tran, LN Van, K Than International Journal of Approximate Reasoning 112, 85-104, 2019 | 54 | 2019 |
| Selecting optimal context sentences for event-event relation extraction H Man, NT Ngo, LN Van, TH Nguyen Proceedings of the AAAI conference on artificial intelligence 36 (10), 11058 …, 2022 | 29 | 2022 |
| An effective and interpretable method for document classification N Van Linh, NK Anh, K Than, CN Dang Knowledge and Information Systems 50, 763-793, 2017 | 23 | 2017 |
| Employing the correspondence of relations and connectives to identify implicit discourse relations via label embeddings L Van Ngo, K Than, TH Nguyen Proceedings of the 57th Annual Meeting of the Association for Computational …, 2019 | 19 | 2019 |
| Unsupervised domain adaptation for text classification via meta self-paced learning TN Ngo, LV Ngo, TH Nguyen Proceedings of the 29th International Conference on Computational …, 2022 | 13 | 2022 |
| From Implicit to Explicit feedback: A deep neural network for modeling sequential behaviours and long-short term preferences of online users Q Tran, L Tran, LC Hai, N Van Linh, K Than Neurocomputing 479, 89-105, 2022 | 12 | 2022 |
| A graph convolutional topic model for short and noisy text streams N Van Linh, TX Bach, K Than Neurocomputing 468, 345-359, 2022 | 10 | 2022 |
| Bag of biterms modeling for short texts AP Tuan, B Tran, TH Nguyen, LN Van, K Than Knowledge and Information Systems 62 (10), 4055-4090, 2020 | 10 | 2020 |
| Enabling hierarchical Dirichlet processes to work better for short texts at large scale K Mai, S Mai, A Nguyen, N Van Linh, K Than Advances in Knowledge Discovery and Data Mining: 20th Pacific-Asia …, 2016 | 10 | 2016 |
| Collaborative topic model for poisson distributed ratings HM Le, ST Cong, QP The, N Van Linh, K Than International Journal of Approximate Reasoning 95, 62-76, 2018 | 9 | 2018 |
| Infinite Dropout for training Bayesian models from data streams VS Nguyen, DT Nguyen, LN Van, K Than 2019 IEEE international conference on big data (Big Data), 125-134, 2019 | 8 | 2019 |
| Keeping priors in streaming Bayesian learning AN Duc, N Van Linh, AN Kim, K Than Advances in Knowledge Discovery and Data Mining: 21st Pacific-Asia …, 2017 | 8 | 2017 |
| Document clustering using dirichlet process mixture model of von mises-fisher distributions NK Anh, NT Tam, N Van Linh Proceedings of the 4th Symposium on Information and Communication Technology …, 2013 | 8 | 2013 |
| Dynamic transformation of prior knowledge into Bayesian models for data streams TX Bach, ND Anh, N Van Linh, K Than IEEE Transactions on Knowledge and Data Engineering 35 (4), 3742-3750, 2021 | 7 | 2021 |
| Auxiliary local variables for improving regularization/prior approach in continual learning LN Van, NL Hai, H Pham, K Than Pacific-Asia conference on knowledge discovery and data mining, 16-28, 2022 | 6 | 2022 |
| Boosting prior knowledge in streaming variational bayes DA Nguyen, KA Nguyen, CH Nguyen, K Than Neurocomputing 424, 143-159, 2021 | 6 | 2021 |
| Graph convolutional topic model for data streams LN Van, B Tran, K Than arXiv preprint arXiv:2003.06112, 2020 | 6 | 2020 |
| Multilingual subevent relation extraction: A novel dataset and structure induction method V Lai, H Mẫn, L Ngo, F Dernoncourt, T Nguyen Findings of the Association for Computational Linguistics: EMNLP 2022, 5559-5570, 2022 | 5 | 2022 |
| Adaptive infinite dropout for noisy and sparse data streams H Nguyen, H Pham, S Nguyen, N Van Linh, K Than Machine Learning 111 (8), 3025-3060, 2022 | 5 | 2022 |
| Neural poisson factorization N Van Linh, DA Nguyen, TB Nguyen, K Than IEEE Access 8, 106395-106407, 2020 | 5 | 2020 |
