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Khoat Than
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2020 – today
- 2025
- [j20]Tung Nguyen, Tung Pham, Ngo Van Linh, Ha-Bang Ban, Khoat Than:
Out-of-vocabulary handling and topic quality control strategies in streaming topic models. Neurocomputing 614: 128757 (2025) - 2024
- [j19]Tung Doan
, Tuan Phan, Phu Nguyen, Khoat Than
Partial ordered Wasserstein distance for sequential data. Neurocomputing 595: 127908 (2024) - [j18]Nam Le Hai, Trang Nguyen, Ngo Van Linh
Continual variational dropout: a view of auxiliary local variables in continual learning. Mach. Learn. 113(1): 281-323 (2024) - [c26]Viet Nguyen, Giang Vu, Tung Nguyen Thanh, Khoat Than, Toan Tran:
On Inference Stability for Diffusion Models. AAAI 2024: 14449-14456 - 2023
- [j17]Khang Nguyen, Kien Do
Unsupervised image segmentation with robust virtual class contrast. Pattern Recognit. Lett. 173: 10-16 (2023) - [j16]Tran Xuan Bach, Nguyen Duc Anh
Dynamic Transformation of Prior Knowledge Into Bayesian Models for Data Streams. IEEE Trans. Knowl. Data Eng. 35(4): 3742-3750 (2023) - [c25]Lam Tran Tung
Sharpness and Gradient Aware Minimization for Memory-based Continual Learning. SoICT 2023: 189-196 - [c24]Duy-Tung Nguyen
Bayesian method for bee counting with noise-labeled data. SoICT 2023: 401-408 - [i13]Quyen Tran, Lam Tran, Khoat Than, Toan Tran, Dinh Q. Phung, Trung Le:
KOPPA: Improving Prompt-based Continual Learning with Key-Query Orthogonal Projection and Prototype-based One-Versus-All. CoRR abs/2311.15414 (2023) - [i12]Viet Nguyen, Giang Vu, Tung Nguyen Thanh, Khoat Than, Toan Tran:
On Inference Stability for Diffusion Models. CoRR abs/2312.12431 (2023) - 2022
- [j15]Ngo Van Linh
A graph convolutional topic model for short and noisy text streams. Neurocomputing 468: 345-359 (2022) - [j14]Quyen Tran, Lam Tran, Linh Chu Hai, Ngo Van Linh
From implicit to explicit feedback: A deep neural network for modeling sequential behaviours and long-short term preferences of online users. Neurocomputing 479: 89-105 (2022) - [j13]Tung Nguyen, Trung Mai, Nam Nguyen, Linh Ngo Van
Balancing stability and plasticity when learning topic models from short and noisy text streams. Neurocomputing 505: 30-43 (2022) - [j12]Dieu Vu, Khang Truong, Khanh Nguyen, Ngo Van Linh, Khoat Than:
Revisiting Supervised Word Embeddings. J. Inf. Sci. Eng. 38(2): 413-427 (2022) - [j11]Ha Nguyen, Hoang Pham, Son Nguyen, Ngo Van Linh
Adaptive infinite dropout for noisy and sparse data streams. Mach. Learn. 111(8): 3025-3060 (2022) - [c23]Ngo Van Linh
Auxiliary Local Variables for Improving Regularization/Prior Approach in Continual Learning. PAKDD (1) 2022: 16-28 - [c22]Hoang Phan, Anh Phan Tuan, Son Nguyen, Ngo Van Linh
Reducing Catastrophic Forgetting in Neural Networks via Gaussian Mixture Approximation. PAKDD (1) 2022: 106-117 - [c21]Khoa Nguyen
Random Generative Adversarial Networks. SoICT 2022: 66-73 - [i11]Truong Vu, Kien Do, Khang Nguyen, Khoat Than:
Face Swapping as A Simple Arithmetic Operation. CoRR abs/2211.10812 (2022) - [i10]Quyen Tran, Hoang Phan, Khoat Than, Dinh Q. Phung, Trung Le:
Continual Learning with Optimal Transport based Mixture Model. CoRR abs/2211.16780 (2022) - 2021
- [j10]Duc Anh Nguyen
Boosting prior knowledge in streaming variational Bayes. Neurocomputing 424: 143-159 (2021) - [c20]Son Nguyen, Duong Nguyen, Khai Nguyen, Khoat Than, Hung Bui, Nhat Ho:
Structured Dropout Variational Inference for Bayesian Neural Networks. NeurIPS 2021: 15188-15202 - [i9]Son Nguyen, Duong Nguyen, Khai Nguyen, Nhat Ho, Khoat Than, Hung Bui:
Improving Bayesian Inference in Deep Neural Networks with Variational Structured Dropout. CoRR abs/2102.07927 (2021) - [i8]Khoat Than, Nghia Vu:
Generalization of GANs under Lipschitz continuity and data augmentation. CoRR abs/2104.02388 (2021) - [i7]Quyen Tran, Lam Tran, Linh Chu Hai, Ngo Van Linh, Khoat Than:
From Implicit to Explicit feedback: A deep neural network for modeling sequential behaviours and long-short term preferences of online users. CoRR abs/2107.12325 (2021) - 2020
- [j9]Ngo Van Linh
Neural Poisson Factorization. IEEE Access 8: 106395-106407 (2020) - [j8]Xuan Bui
MAP Estimation With Bernoulli Randomness, and Its Application to Text Analysis and Recommender Systems. IEEE Access 8: 127818-127833 (2020) - [j7]Anh Phan Tuan, Tran Xuan Bach, Thien Huu Nguyen, Ngo Van Linh
Bag of biterms modeling for short texts. Knowl. Inf. Syst. 62(10): 4055-4090 (2020) - [c19]Rui Shu, Tung Nguyen, Yinlam Chow, Tuan Pham, Khoat Than, Mohammad Ghavamzadeh, Stefano Ermon, Hung H. Bui:
Predictive Coding for Locally-Linear Control. ICML 2020: 8862-8871 - [i6]Rui Shu, Tung Nguyen, Yinlam Chow, Tuan Pham, Khoat Than, Mohammad Ghavamzadeh, Stefano Ermon, Hung H. Bui:
Predictive Coding for Locally-Linear Control. CoRR abs/2003.01086 (2020) - [i5]Ngo Van Linh, Tran Xuan Bach, Khoat Than:
Graph Convolutional Topic Model for Data Streams. CoRR abs/2003.06112 (2020) - [i4]Tran Xuan Bach, Nguyen Duc Anh, Ngo Van Linh, Khoat Than:
Dynamic transformation of prior knowledge into Bayesian models for data streams. CoRR abs/2003.06123 (2020) - [i3]Anh Phan Tuan, Tran Xuan Bach, Thien Huu Nguyen, Ngo Van Linh, Khoat Than:
Bag of biterms modeling for short texts. CoRR abs/2003.11948 (2020)
2010 – 2019
- 2019
- [j6]Cuong Ha, Van-Dang Tran, Ngo Van Linh
Eliminating overfitting of probabilistic topic models on short and noisy text: The role of dropout. Int. J. Approx. Reason. 112: 85-104 (2019) - [c18]Linh The Nguyen, Ngo Van Linh, Khoat Than, Thien Huu Nguyen:
Employing the Correspondence of Relations and Connectives to Identify Implicit Discourse Relations via Label Embeddings. ACL (1) 2019: 4201-4207 - [c17]Anh Phan Tuan, Nhat Nguyen Trong, Duong Bui Trong, Ngo Van Linh, Khoat Than:
From Implicit to Explicit Feedback: A deep neural network for modeling the sequential behavior of online users. ACML 2019: 1188-1203 - [c16]Van-Son Nguyen, Duc-Tung Nguyen, Ngo Van Linh
Infinite Dropout for training Bayesian models from data streams. IEEE BigData 2019: 125-134 - [c15]Minh-Tien Nguyen, Khoat Than, Minh Le Nguyen:
Marking Mechanism in Sequence-to-sequence Model for Mapping Language to Logical Form. KSE 2019: 1-7 - [c14]Thanh Hai Hoang, Anh Phan Tuan, Ngo Van Linh
Enriching User Representation in Neural Matrix Factorization. RIVF 2019: 1-6 - 2018
- [j5]Tu Vu, Xuan Bui, Khoat Than, Ryutaro Ichise:
A Flexible Stochastic Method for Solving the MAP Problem in Topic Models. Computación y Sistemas 22(4) (2018) - [j4]Hoa M. Le, Son Ta Cong, Quyen Pham The, Ngo Van Linh
Collaborative Topic Model for Poisson distributed ratings. Int. J. Approx. Reason. 95: 62-76 (2018) - [c13]Bui Thi-Thanh-Xuan, Vu Van-Tu, Atsuhiro Takasu, Khoat Than:
A Fast Algorithm for Posterior Inference with Latent Dirichlet Allocation. ACIIDS (2) 2018: 137-146 - [c12]Huy Do, Khoat Than, Pierre Larmande:
Evaluating Named-Entity Recognition Approaches in Plant Molecular Biology. MIWAI 2018: 219-225 - [c11]Nguyen Trong Tung, Vu Hoang Dieu, Khoat Than, Ngo Van Linh
Reducing Class Overlapping in Supervised Dimension Reduction. SoICT 2018: 8-15 - 2017
- [j3]Ngo Van Linh
An effective and interpretable method for document classification. Knowl. Inf. Syst. 50(3): 763-793 (2017) - [c10]Duc Anh Nguyen
Keeping Priors in Streaming Bayesian Learning. PAKDD (2) 2017: 247-258 - [c9]Tung Doan, Khoat Than
Sparse Stochastic Inference with Regularization. PAKDD (1) 2017: 447-459 - 2016
- [c8]Khai Mai, Sang Mai, Anh Nguyen, Ngo Van Linh
Enabling Hierarchical Dirichlet Processes to Work Better for Short Texts at Large Scale. PAKDD (2) 2016: 431-442 - [c7]Vu Le Anh, Chien Phung Van, Cuong Vu Cao, Ngo Van Linh
Streaming aspect-sentiment analysis. RIVF 2016: 181-186 - 2015
- [c6]Ngo Van Linh
Effective and Interpretable Document Classification Using Distinctly Labeled Dirichlet Process Mixture Models of von Mises-Fisher Distributions. DASFAA (2) 2015: 139-153 - 2014
- [j2]Khoat Than
Modeling the diversity and log-normality of data. Intell. Data Anal. 18(6): 1067-1088 (2014) - [j1]Khoat Than
An effective framework for supervised dimension reduction. Neurocomputing 139: 397-407 (2014) - [c5]Khoat Than, Tung Doan:
Dual online inference for latent Dirichlet allocation. ACML 2014 - [c4]Ngo Van Linh
An Effective NMF-Based Method for Supervised Dimension Reduction. KSE 2014: 93-104 - 2013
- [c3]Duy Khuong Nguyen, Khoat Than
Simplicial nonnegative matrix factorization. RIVF 2013: 47-52 - [i2]Khoat Than, Tu Bao Ho:
Probable convexity and its application to Correlated Topic Models. CoRR abs/1312.4527 (2013) - 2012
- [c2]Khoat Than
Fully Sparse Topic Models. ECML/PKDD (1) 2012: 490-505 - [c1]Khoat Than, Tu Bao Ho, Duy Khuong Nguyen, Pham Ngoc Khanh:
Supervised dimension reduction with topic models. ACML 2012: 395-410 - [i1]Khoat Than, Tu Bao Ho:
Managing sparsity, time, and quality of inference in topic models. CoRR abs/1210.7053 (2012)
Coauthor Index
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