Improving Vietnamese Web Page Classification by Combining Hybrid Feature Selection and Label Propagation with Link Information. - Ngo Van Linh 001; Nguyen Thi Kim Anh; Cao Manh Dat (ICCASA, 2012)

Efficient label propagation for classification on information networks. - Nguyen Thi Kim Anh; Vu Minh Thanh; Ngo Van Linh 001 (SoICT, 2012)

Multi-labeled document classification using semi-supervived mixture model of Watson distributions on document manifold. - Nguyen Kim Anh; Ngo Van Linh 001; Nguyen Khac Toi; Nguyen The Tarn (SoCPaR, 2013)

Document clustering using mixture model of von Mises-Fisher distributions on document manifold. - Nguyen Kim Anh; Nguyen The Tarn; Ngo Van Linh 001 (SoCPaR, 2013)

Document classification using semi-supervived mixture model of von Mises-Fisher distributions on document manifold. - Nguyen Kim Anh; Ngo Van Linh 001; Le Hong Ky; Nguyen The Tam (SoICT, 2013)

Document clustering using dirichlet process mixture model of von Mises-Fisher distributions. - Nguyen Kim Anh; Nguyen The Tam; Ngo Van Linh 001 (SoICT, 2013)

An Effective NMF-Based Method for Supervised Dimension Reduction. - Ngo Van Linh 001; Nguyen Kim Anh; Khoat Than (KSE, 2014)

An interpretable method for text summarization based on simplicial non-negative matrix factorization. - Nguyen Kim Anh; Nguyen Khac Toi; Ngo Van Linh 001 (SoICT, 2014)

Effective and Interpretable Document Classification Using Distinctly Labeled Dirichlet Process Mixture Models of von Mises-Fisher Distributions. - Ngo Van Linh 001; Nguyen Kim Anh; Khoat Than; Nguyen Nguyen Tat (DASFAA (2), 2015)

Enabling Hierarchical Dirichlet Processes to Work Better for Short Texts at Large Scale. - Khai Mai; Sang Mai; Anh Nguyen; Ngo Van Linh 001; Khoat Than (PAKDD (2), 2016)

Streaming aspect-sentiment analysis. - Vu Le Anh; Chien Phung Van; Cuong Vu Cao; Ngo Van Linh 001; Khoat Than (RIVF, 2016)

Keeping Priors in Streaming Bayesian Learning. - Duc Anh Nguyen; Ngo Van Linh 001; Nguyen Kim Anh; Khoat Than (PAKDD (2), 2017)

An effective and interpretable method for document classification. - Ngo Van Linh 001; Nguyen Kim Anh; Khoat Than; Chien Nguyen Dang (Knowl. Inf. Syst., 2017)

Reducing Class Overlapping in Supervised Dimension Reduction. - Nguyen Trong Tung; Vu Hoang Dieu; Khoat Than; Ngo Van Linh 001 (SoICT, 2018)

Collaborative Topic Model for Poisson distributed ratings. - Hoa M. Le; Son Ta Cong; Quyen Pham The; Ngo Van Linh 001; Khoat Than (Int. J. Approx. Reason., 2018)

Employing the Correspondence of Relations and Connectives to Identify Implicit Discourse Relations via Label Embeddings. - Linh The Nguyen; Ngo Van Linh 001; Khoat Than; Thien Huu Nguyen (ACL (1), 2019)

From Implicit to Explicit Feedback: A deep neural network for modeling the sequential behavior of online users. - Anh Phan Tuan; Nhat Nguyen Trong; Duong Bui Trong; Ngo Van Linh 001; Khoat Than (ACML, 2019)

Infinite Dropout for training Bayesian models from data streams. - Van-Son Nguyen; Duc-Tung Nguyen; Ngo Van Linh 001; Khoat Than (IEEE BigData, 2019)

Enriching User Representation in Neural Matrix Factorization. - Thanh Hai Hoang; Anh Phan Tuan; Ngo Van Linh 001; Khoat Than (RIVF, 2019)

Eliminating overfitting of probabilistic topic models on short and noisy text: The role of dropout. - Cuong Ha; Van-Dang Tran; Ngo Van Linh 001; Khoat Than (Int. J. Approx. Reason., 2019)

Neural Poisson Factorization. - Ngo Van Linh 001; Duc Anh Nguyen; Thai Binh Nguyen 001; Khoat Than (IEEE Access, 2020)

Graph Convolutional Topic Model for Data Streams. - Ngo Van Linh 001; Tran Xuan Bach; Khoat Than (CoRR, 2020)

Bag of biterms modeling for short texts. - Anh Phan Tuan; Tran Xuan Bach; Thien Huu Nguyen; Ngo Van Linh 001; Khoat Than (Knowl. Inf. Syst., 2020)

Boosting prior knowledge in streaming variational Bayes. - Duc Anh Nguyen; Ngo Van Linh 001; Nguyen Kim Anh; Canh Hao Nguyen; Khoat Than (Neurocomputing, 2021)

Selecting Optimal Context Sentences for Event-Event Relation Extraction. - Hieu Man; Nghia Trung Ngo; Linh Ngo Van 001; Thien Huu Nguyen (AAAI, 2022)

Unsupervised Domain Adaptation for Text Classification via Meta Self-Paced Learning. - Nghia Trung Ngo; Linh Ngo Van 001; Thien Huu Nguyen (COLING, 2022)

Multilingual SubEvent Relation Extraction: A Novel Dataset and Structure Induction Method. - Viet Dac Lai; Hieu Man; Linh Ngo Van 001; Franck Dernoncourt; Thien Huu Nguyen (EMNLP (Findings), 2022)

Auxiliary Local Variables for Improving Regularization/Prior Approach in Continual Learning. - Ngo Van Linh 001; Nam Le Hai; Hoang Pham; Khoat Than (PAKDD (1), 2022)

Reducing Catastrophic Forgetting in Neural Networks via Gaussian Mixture Approximation. - Hoang Phan; Anh Phan Tuan; Son Nguyen; Ngo Van Linh 001; Khoat Than (PAKDD (1), 2022)

A graph convolutional topic model for short and noisy text streams. - Ngo Van Linh 001; Tran Xuan Bach; Khoat Than (Neurocomputing, 2022)

Balancing stability and plasticity when learning topic models from short and noisy text streams. - Tung Nguyen; Trung Mai; Nam Nguyen; Linh Ngo Van 001; Khoat Than (Neurocomputing, 2022)

From implicit to explicit feedback: A deep neural network for modeling sequential behaviours and long-short term preferences of online users. - Quyen Tran; Lam Tran; Linh Chu Hai; Ngo Van Linh 001; Khoat Than (Neurocomputing, 2022)

Revisiting Supervised Word Embeddings. - Dieu Vu; Khang Truong; Khanh Nguyen; Ngo Van Linh 001; Khoat Than (J. Inf. Sci. Eng., 2022)

Adaptive infinite dropout for noisy and sparse data streams. - Ha Nguyen; Hoang Pham; Son Nguyen; Ngo Van Linh 001; Khoat Than (Mach. Learn., 2022)

Retrieving Relevant Context to Align Representations for Cross-lingual Event Detection. - Chien Nguyen; Linh Ngo Van 001; Thien Huu Nguyen (ACL (Findings), 2023)

A Spectral Viewpoint on Continual Relation Extraction. - Huy Nguyen; Chien Nguyen; Linh Ngo Van 001; Anh Tuan Luu; Thien Huu Nguyen (EMNLP (Findings), 2023)

Dynamic Transformation of Prior Knowledge Into Bayesian Models for Data Streams. - Tran Xuan Bach; Nguyen Duc Anh; Ngo Van Linh 001; Khoat Than (IEEE Trans. Knowl. Data Eng., 2023)

Continual Relation Extraction via Sequential Multi-Task Learning. - Thanh-Thien Le; Manh Nguyen; Tung Thanh Nguyen; Ngo Van Linh 001; Thien Huu Nguyen (AAAI, 2024)

Realistic Evaluation of Toxicity in Large Language Models. - Tinh Son Luong; Thanh-Thien Le; Linh Ngo Van 001; Thien Huu Nguyen (ACL (Findings), 2024)

Hierarchical Selection of Important Context for Generative Event Causality Identification with Optimal Transports. - Hieu Man; Chien Van Nguyen; Nghia Trung Ngo; Linh Ngo Van 001; Franck Dernoncourt; Thien Huu Nguyen (LREC/COLING, 2024)

Lifelong Event Detection via Optimal Transport. - Viet Dao; Van-Cuong Pham; Quyen Tran; Thanh-Thien Le; Linh Ngo Van 001; Thien Huu Nguyen (EMNLP, 2024)

NeuroMax: Enhancing Neural Topic Modeling via Maximizing Mutual Information and Group Topic Regularization. - Duy-Tung Pham; Thien Trang Nguyen Vu; Tung Nguyen; Linh Ngo Van 001; Duc Anh Nguyen; Thien Huu Nguyen (EMNLP (Findings), 2024)

Preserving Generalization of Language models in Few-shot Continual Relation Extraction. - Quyen Tran; Nguyen Xuan Thanh; Nguyen Hoang Anh; Nam Le Hai; Trung Le 001; Linh Van Ngo 001; Thien Huu Nguyen (EMNLP, 2024)

SharpSeq: Empowering Continual Event Detection through Sharpness-Aware Sequential-task Learning. - Thanh-Thien Le; Viet Dao; Linh Nguyen; Thi-Nhung Nguyen; Linh Ngo Van 001; Thien Huu Nguyen (NAACL-HLT, 2024)

Mixture of Experts Meets Prompt-Based Continual Learning. - Minh Le; An Nguyen The; Huy Nguyen; Trang Nguyen; Trang Pham; Linh Ngo Van 001; Nhat Ho (NeurIPS, 2024)

Mixture of Experts Meets Prompt-Based Continual Learning. - Minh Le; An Nguyen; Huy Nguyen; Trang Nguyen; Trang Pham; Linh Van Ngo 001; Nhat Ho (CoRR, 2024)

Leveraging Hierarchical Taxonomies in Prompt-based Continual Learning. - Quyen Tran; Minh Le; Tuan Truong; Dinh Phung 001; Linh Ngo Van 001; Thien Huu Nguyen; Nhat Ho; Trung Le 001 (CoRR, 2024)

Continual variational dropout: a view of auxiliary local variables in continual learning. - Nam Le Hai; Trang Nguyen; Ngo Van Linh 001; Thien Huu Nguyen; Khoat Than (Mach. Learn., 2024)

Adaptive Prompting for Continual Relation Extraction: A Within-Task Variance Perspective. - Minh Le; Tien Ngoc Luu; An Nguyen The; Thanh-Thien Le; Trang Nguyen; Tung Thanh Nguyen; Linh Ngo Van 001; Thien Huu Nguyen (AAAI, 2025)

Few-Shot, No Problem: Descriptive Continual Relation Extraction. - Nguyen Xuan Thanh; Anh Duc Le; Quyen Tran; Thanh-Thien Le; Linh Ngo Van 001; Thien Huu Nguyen (AAAI, 2025)

Mitigating Non-Representative Prototypes and Representation Bias in Few-Shot Continual Relation Extraction. - Thanh Duc Pham; Nam Le Hai; Linh Ngo Van 001; Nguyen Thi Ngoc Diep; Sang Dinh; Thien Huu Nguyen (ACL (1), 2025)

Topic Modeling for Short Texts via Optimal Transport-Based Clustering. - Tu Vu; Manh Do; Tung Nguyen; Ngo Van Linh 001; Sang Dinh; Thien Huu Nguyen (ACL (Findings), 2025)

HiCOT: Improving Neural Topic Models via Optimal Transport and Contrastive Learning. - Hoang Tran Vuong; Tue Le; Tu Vu; Tung Nguyen; Linh Ngo Van 001; Sang Dinh; Thien Huu Nguyen (ACL (Findings), 2025)

Mutual-pairing Data Augmentation for Fewshot Continual Relation Extraction. - Nguyen Hoang Anh; Quyen Tran; Thanh Xuan Nguyen; Nguyen Thi Ngoc Diep; Linh Ngo Van 001; Thien Huu Nguyen; Trung Le 001 (NAACL (Long Papers), 2025)

Enhancing Discriminative Representation in Similar Relation Clusters for Few-Shot Continual Relation Extraction. - Anh Duc Le; Nam Le Hai; Thanh Xuan Nguyen; Linh Ngo Van 001; Nguyen Thi Ngoc Diep; Sang Dinh; Thien Huu Nguyen (NAACL (Long Papers), 2025)

ToVo: Toxicity Taxonomy via Voting. - Tinh Son Luong; Thanh-Thien Le; Thang Viet Doan; Linh Ngo Van 001; Thien Huu Nguyen; Nguyen Thi Ngoc Diep (NAACL (Findings), 2025)

Improving Vietnamese-English Cross-Lingual Retrieval for Legal and General Domains. - Toan Ngoc Nguyen; Nam Le Hai; Nguyen Doan Hieu; Dai An Nguyen; Linh Ngo Van 001; Thien Huu Nguyen; Sang Dinh (NAACL (Short Papers), 2025)

Sharpness-Aware Minimization for Topic Models with High-Quality Document Representations. - Tung Nguyen; Tue Le; Hoang Tran Vuong; Quang Duc Nguyen; Duc Anh Nguyen; Linh Ngo Van 001; Sang Dinh; Thien Huu Nguyen (NAACL (Long Papers), 2025)

GloCOM: A Short Text Neural Topic Model via Global Clustering Context. - Quang Duc Nguyen; Tung Nguyen; Duc Anh Nguyen; Linh Ngo Van 001; Sang Dinh; Thien Huu Nguyen (NAACL (Long Papers), 2025)

A Framework for Neural Topic Modeling with Mutual Information and Group Regularization. - Tung Nguyen; Linh Van Ngo 001; Duc Anh Nguyen; Sang Dinh Viet (Neurocomputing, 2025)

Out-of-vocabulary handling and topic quality control strategies in streaming topic models. - Tung Nguyen; Tung Pham; Ngo Van Linh 001; Ha-Bang Ban; Khoat Than (Neurocomputing, 2025)

TopiCOT: Neural topic model aligning with pre-trained clustering and optimal transport. - Tung Nguyen; Duy-Tung Pham; Quang Duc Nguyen; Ngo Van Linh 001; Duc Anh Nguyen; Sang Dinh Viet (Neurocomputing, 2025)

Few-shot Continual Relation Extraction via Open Information Extraction. - Thiem Nguyen; Anh Nguyen; Quyen Tran; Tu Vu; Diep Nguyen; Linh Ngo Van 001; Thien Huu Nguyen (CoRR, 2025)

CoT2Align: Cross-Chain of Thought Distillation via Optimal Transport Alignment for Language Models with Different Tokenizers. - Anh Duc Le; Tu Vu; Nam Le Hai; Nguyen Thi Ngoc Diep; Linh Ngo Van 001; Trung Le 001; Thien Huu Nguyen (CoRR, 2025)

Towards Rehearsal-Free Continual Relation Extraction: Capturing Within-Task Variance with Adaptive Prompting. - Bao-Ngoc Dao; Quang Nguyen; Luyen Ngo Dinh; Minh Le; Nam Le 005; Linh Ngo Van 001 (CoRR, 2025)

Hierarchical Neural Collapse Detection Transformer for Class Incremental Object Detection. - Duc Thanh Pham; Hong Dang Nguyen; Nhat Minh Nguyen Quoc; Linh Ngo Van 001; Sang Dinh Viet; Duc Anh Nguyen (CoRR, 2025)