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ORCIDNgo Van Linh 0001
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- affiliation: Hanoi University of Science and Technology, HUST, School of Information and Communication Technology, Vietnam
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2020 – today
- 2024
[j13]Nam Le Hai, Trang Nguyen, Ngo Van Linh
, Thien Huu Nguyen, Khoat Than:
Continual variational dropout: a view of auxiliary local variables in continual learning. Mach. Learn. 113(1): 281-323 (2024)- [c25]Thanh-Thien Le, Manh Nguyen, Tung Thanh Nguyen, Ngo Van Linh, Thien Huu Nguyen:
Continual Relation Extraction via Sequential Multi-Task Learning. AAAI 2024: 18444-18452 - 2023
- [j12]Tran Xuan Bach, Nguyen Duc Anh, Ngo Van Linh, Khoat Than:
Dynamic Transformation of Prior Knowledge Into Bayesian Models for Data Streams. IEEE Trans. Knowl. Data Eng. 35(4): 3742-3750 (2023) - [c24]Chien Nguyen, Linh Ngo Van, Thien Nguyen:
Retrieving Relevant Context to Align Representations for Cross-lingual Event Detection. ACL (Findings) 2023: 2157-2170 - [c23]Huy Nguyen, Chien Nguyen, Linh Ngo Van, Anh Luu, Thien Nguyen:
A Spectral Viewpoint on Continual Relation Extraction. EMNLP (Findings) 2023: 9621-9629 - 2022
- [j11]Ngo Van Linh, Tran Xuan Bach, Khoat Than:
A graph convolutional topic model for short and noisy text streams. Neurocomputing 468: 345-359 (2022) - [j10]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. Neurocomputing 479: 89-105 (2022) - [j9]Tung Nguyen, Trung Mai, Nam Nguyen, Linh Ngo Van, Khoat Than:
Balancing stability and plasticity when learning topic models from short and noisy text streams. Neurocomputing 505: 30-43 (2022) - [j8]Dieu Vu, Khang Truong, Khanh Nguyen, Ngo Van Linh, Khoat Than:
Revisiting Supervised Word Embeddings. J. Inf. Sci. Eng. 38(2): 413-427 (2022) - [j7]Ha Nguyen, Hoang Pham, Son Nguyen, Ngo Van Linh, Khoat Than:
Adaptive infinite dropout for noisy and sparse data streams. Mach. Learn. 111(8): 3025-3060 (2022) - [c22]Hieu Man, Nghia Trung Ngo, Linh Ngo Van, Thien Huu Nguyen:
Selecting Optimal Context Sentences for Event-Event Relation Extraction. AAAI 2022: 11058-11066 - [c21]Nghia Trung Ngo, Linh Ngo Van, Thien Huu Nguyen:
Unsupervised Domain Adaptation for Text Classification via Meta Self-Paced Learning. COLING 2022: 4741-4752 - [c20]Viet Dac Lai, Hieu Man, Linh Ngo Van, Franck Dernoncourt, Thien Nguyen:
Multilingual SubEvent Relation Extraction: A Novel Dataset and Structure Induction Method. EMNLP (Findings) 2022: 5559-5570 - [c19]Ngo Van Linh, Nam Le Hai, Hoang Pham, Khoat Than:
Auxiliary Local Variables for Improving Regularization/Prior Approach in Continual Learning. PAKDD (1) 2022: 16-28 - [c18]Hoang Phan, Anh Phan Tuan, Son Nguyen, Ngo Van Linh, Khoat Than:
Reducing Catastrophic Forgetting in Neural Networks via Gaussian Mixture Approximation. PAKDD (1) 2022: 106-117 - 2021
- [j6]Duc Anh Nguyen, Ngo Van Linh, Nguyen Kim Anh, Canh Hao Nguyen, Khoat Than:
Boosting prior knowledge in streaming variational Bayes. Neurocomputing 424: 143-159 (2021) - [i4]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
- [j5]Ngo Van Linh, Duc Anh Nguyen, Thai Binh Nguyen, Khoat Than:
Neural Poisson Factorization. IEEE Access 8: 106395-106407 (2020) - [j4]Anh Phan Tuan, Tran Xuan Bach, Thien Huu Nguyen, Ngo Van Linh, Khoat Than:
Bag of biterms modeling for short texts. Knowl. Inf. Syst. 62(10): 4055-4090 (2020) - [i3]Ngo Van Linh, Tran Xuan Bach, Khoat Than:
Graph Convolutional Topic Model for Data Streams. CoRR abs/2003.06112 (2020) - [i2]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) - [i1]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
- [j3]Cuong Ha, Van-Dang Tran, Ngo Van Linh, Khoat Than:
Eliminating overfitting of probabilistic topic models on short and noisy text: The role of dropout. Int. J. Approx. Reason. 112: 85-104 (2019) - [c17]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 - [c16]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 - [c15]Van-Son Nguyen, Duc-Tung Nguyen, Ngo Van Linh, Khoat Than:
Infinite Dropout for training Bayesian models from data streams. IEEE BigData 2019: 125-134 - [c14]Thanh Hai Hoang, Anh Phan Tuan, Ngo Van Linh, Khoat Than:
Enriching User Representation in Neural Matrix Factorization. RIVF 2019: 1-6 - 2018
- [j2]Hoa M. Le, Son Ta Cong, Quyen Pham The, Ngo Van Linh, Khoat Than:
Collaborative Topic Model for Poisson distributed ratings. Int. J. Approx. Reason. 95: 62-76 (2018) - [c13]Nguyen Trong Tung, Vu Hoang Dieu, Khoat Than, Ngo Van Linh:
Reducing Class Overlapping in Supervised Dimension Reduction. SoICT 2018: 8-15 - 2017
- [j1]Ngo Van Linh, Nguyen Kim Anh, Khoat Than, Chien Nguyen Dang:
An effective and interpretable method for document classification. Knowl. Inf. Syst. 50(3): 763-793 (2017) - [c12]Duc Anh Nguyen, Ngo Van Linh, Nguyen Kim Anh, Khoat Than:
Keeping Priors in Streaming Bayesian Learning. PAKDD (2) 2017: 247-258 - 2016
- [c11]Khai Mai, Sang Mai, Anh Nguyen, Ngo Van Linh, Khoat Than:
Enabling Hierarchical Dirichlet Processes to Work Better for Short Texts at Large Scale. PAKDD (2) 2016: 431-442 - [c10]Vu Le Anh, Chien Phung Van, Cuong Vu Cao, Ngo Van Linh, Khoat Than:
Streaming aspect-sentiment analysis. RIVF 2016: 181-186 - 2015
- [c9]Ngo Van Linh, Nguyen Kim Anh, Khoat Than, Nguyen Nguyen Tat:
Effective and Interpretable Document Classification Using Distinctly Labeled Dirichlet Process Mixture Models of von Mises-Fisher Distributions. DASFAA (2) 2015: 139-153 - 2014
- [c8]Ngo Van Linh, Nguyen Kim Anh, Khoat Than:
An Effective NMF-Based Method for Supervised Dimension Reduction. KSE 2014: 93-104 - [c7]Nguyen Kim Anh, Nguyen Khac Toi, Ngo Van Linh:
An interpretable method for text summarization based on simplicial non-negative matrix factorization. SoICT 2014: 57-64 - 2013
- [c6]Nguyen Kim Anh, Ngo Van Linh, Nguyen Khac Toi, Nguyen The Tarn:
Multi-labeled document classification using semi-supervived mixture model of Watson distributions on document manifold. SoCPaR 2013: 123-128 - [c5]Nguyen Kim Anh, Nguyen The Tarn, Ngo Van Linh:
Document clustering using mixture model of von Mises-Fisher distributions on document manifold. SoCPaR 2013: 140-145 - [c4]Nguyen Kim Anh, Ngo Van Linh, Le Hong Ky, Nguyen The Tam:
Document classification using semi-supervived mixture model of von Mises-Fisher distributions on document manifold. SoICT 2013: 94-100 - [c3]Nguyen Kim Anh, Nguyen The Tam, Ngo Van Linh:
Document clustering using dirichlet process mixture model of von Mises-Fisher distributions. SoICT 2013: 131-138 - 2012
- [c2]Ngo Van Linh, Nguyen Thi Kim Anh, Cao Manh Dat:
Improving Vietnamese Web Page Classification by Combining Hybrid Feature Selection and Label Propagation with Link Information. ICCASA 2012: 324-334 - [c1]Nguyen Thi Kim Anh, Vu Minh Thanh, Ngo Van Linh:
Efficient label propagation for classification on information networks. SoICT 2012: 41-46
Coauthor Index
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