| 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 | 62 | 2019 |
| Fully Sparse Topic Models K Than, TB Ho European Conference on Machine Learning and Principles and Practice of …, 2012 | 62 | 2012 |
| Predictive coding for locally-linear control R Shu, T Nguyen, Y Chow, T Pham, K Than, M Ghavamzadeh, S Ermon, ... International Conference on Machine Learning, 8862-8871, 2020 | 27 | 2020 |
| An interpretable deep learning model for classifying adaptor protein complexes from sequence information QH Kha, TO Tran, VN Nguyen, K Than, NQK Le Methods 207, 90-96, 2022 | 25 | 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 | 24 | 2017 |
| Employing the Correspondence of Relations and Connectives to Identify Implicit Discourse Relations via Label Embeddings LT Nguyen, LV Ngo, K Than, TH Nguyen The 57th Annual Meeting of the Association for Computational Linguistics 57 …, 2019 | 23 | 2019 |
| Utilizing sbert for finding similar questions in community question answering TT Ha, VN Nguyen, KH Nguyen, KA Nguyen, QK Than 2021 13th International Conference on Knowledge and Systems Engineering (KSE …, 2021 | 20 | 2021 |
| Author's Accepted Manuscript MA Khan | 18 | 2015 |
| A graph convolutional topic model for short and noisy text streams N Van Linh, TX Bach, K Than Neurocomputing 468, 345-359, 2022 | 17 | 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 | 14 | 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 | 13 | 2020 |
| 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 | 11 | 2022 |
| Evaluating named-entity recognition approaches in plant molecular biology H Do, K Than, P Larmande International Conference on Multi-disciplinary Trends in Artificial …, 2018 | 11 | 2018 |
| Guaranteed inference in topic models K Than, T Doan arXiv preprint arXiv:1512.03308, 2015 | 11 | 2015 |
| Predicting miRNA–disease associations using improved random walk with restart and integrating multiple similarities VT Nguyen, TTK Le, K Than, DH Tran Scientific Reports 11 (1), 21071, 2021 | 10 | 2021 |
| Boosting prior knowledge in streaming variational bayes DA Nguyen, KA Nguyen, CH Nguyen, K Than Neurocomputing 424, 143-159, 2021 | 10 | 2021 |
| Dynamic transformation of prior knowledge into Bayesian models for data streams TX Bach, ND Anh, LN Van, K Than arXiv:2003.06123, 2020 | 10 | 2020 |
| 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 | 10 | 2019 |
| 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 | 10 | 2018 |
| 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 |
