Ngo Van Linh

45 papers A* 1C 1Journal 22Unranked 21
YearRankTypeTitle / Venue / Authors
2026 — conf
DWA-KD: Dual-Space Weighting and Time-Warped Alignment for Cross-Tokenizer Knowledge Distillation.
EACL (Findings)
Duc Trung Vu, Chi Pham Khanh, Phi Van Dat, Ngo Van Linh, Dinh Viet Sang, Trung Le
2026 J jnl
DWA-KD: Dual-Space Weighting and Time-Warped Alignment for Cross-Tokenizer Knowledge Distillation.
CoRR
Duc-Quang Vu, Chi Pham Khanh, Phi Van Dat, Ngo Van Linh, Sang Dinh, Trung Le
2025 J jnl
LEAF: A Robust Expert-Based Framework for Few-Shot Continual Event Detection.
CoRR
Bao-Ngoc Dao, Quang Nguyen, Luyen Ngo Dinh, Minh Le, Ngo Van Linh
2025 — conf
MaGiX: A Multi-Granular Adaptive Graph Intelligence Framework for Enhancing Cross-Lingual RAG.
EMNLP (Findings)
Nguyen Manh Hieu, Vu Lam Anh, Hung Pham Van, Nam Le Hai, Ngo Van Linh, Nguyen Thi Ngoc Diep, Thien Huu Nguyen
2025 J jnl
Out-of-vocabulary handling and topic quality control strategies in streaming topic models.
Neurocomputing
Tung Nguyen, Tung Pham, Ngo Van Linh, Ha-Bang Ban, Khoat Than
2025 J jnl
Sub-document neural topic model.
Knowl. Based Syst.
Tung Nguyen, Duy-Tung Doan, Huu-Thanh Luong, Ngo Van Linh
2025 J jnl
TopiCOT: Neural topic model aligning with pre-trained clustering and optimal transport.
Neurocomputing
Tung Nguyen, Duy-Tung Pham, Quang Duc Nguyen, Ngo Van Linh, Duc Anh Nguyen, Sang Dinh Viet
2025 — conf
Topic Modeling for Short Texts via Optimal Transport-Based Clustering.
ACL (Findings)
Tu Vu, Manh Do, Tung Nguyen, Ngo Van Linh, Sang Dinh, Thien Huu Nguyen
2024 A* conf
Continual Relation Extraction via Sequential Multi-Task Learning.
AAAI
Thanh-Thien Le, Manh Nguyen, Tung Thanh Nguyen, Ngo Van Linh, Thien Huu Nguyen
2024 J jnl
Continual variational dropout: a view of auxiliary local variables in continual learning.
Mach. Learn.
Nam Le Hai, Trang Nguyen, Ngo Van Linh, Thien Huu Nguyen, Khoat Than
2024 J jnl
Lifelong Event Detection via Optimal Transport.
CoRR
Viet Dao, Van-Cuong Pham, Quyen Tran, Thanh-Thien Le, Ngo Van Linh, Thien Huu Nguyen
2023 J jnl
Dynamic Transformation of Prior Knowledge Into Bayesian Models for Data Streams.
IEEE Trans. Knowl. Data Eng.
Tran Xuan Bach, Nguyen Duc Anh, Ngo Van Linh, Khoat Than
2022 J jnl
A graph convolutional topic model for short and noisy text streams.
Neurocomputing
Ngo Van Linh, Tran Xuan Bach, Khoat Than
2022 J jnl
Adaptive infinite dropout for noisy and sparse data streams.
Mach. Learn.
Ha Nguyen, Hoang Pham, Son Nguyen, Ngo Van Linh, Khoat Than
2022 — conf
Auxiliary Local Variables for Improving Regularization/Prior Approach in Continual Learning.
PAKDD (1)
Ngo Van Linh, Nam Le Hai, Hoang Pham, Khoat Than
2022 J jnl
From implicit to explicit feedback: A deep neural network for modeling sequential behaviours and long-short term preferences of online users.
Neurocomputing
Quyen Tran, Lam Tran, Linh Chu Hai, Ngo Van Linh, Khoat Than
2022 — conf
Reducing Catastrophic Forgetting in Neural Networks via Gaussian Mixture Approximation.
PAKDD (1)
Hoang Phan, Anh Phan Tuan, Son Nguyen, Ngo Van Linh, Khoat Than
2022 J jnl
Revisiting Supervised Word Embeddings.
J. Inf. Sci. Eng.
Dieu Vu, Khang Truong, Khanh Nguyen, Ngo Van Linh, Khoat Than
2021 J jnl
Boosting prior knowledge in streaming variational Bayes.
Neurocomputing
Duc Anh Nguyen, Ngo Van Linh, Nguyen Kim Anh, Canh Hao Nguyen, Khoat Than
2021 J jnl
From Implicit to Explicit feedback: A deep neural network for modeling sequential behaviours and long-short term preferences of online users.
CoRR
Quyen Tran, Lam Tran, Linh Chu Hai, Ngo Van Linh, Khoat Than
2020 J jnl
Bag of biterms modeling for short texts.
CoRR
Anh Phan Tuan, Tran Xuan Bach, Thien Huu Nguyen, Ngo Van Linh, Khoat Than
2020 J jnl
Bag of biterms modeling for short texts.
Knowl. Inf. Syst.
Anh Phan Tuan, Tran Xuan Bach, Thien Huu Nguyen, Ngo Van Linh, Khoat Than
2020 J jnl
Dynamic transformation of prior knowledge into Bayesian models for data streams.
CoRR
Tran Xuan Bach, Nguyen Duc Anh, Ngo Van Linh, Khoat Than
2020 J jnl
Graph Convolutional Topic Model for Data Streams.
CoRR
Ngo Van Linh, Tran Xuan Bach, Khoat Than
2020 J jnl
Neural Poisson Factorization.
IEEE Access
Ngo Van Linh, Duc Anh Nguyen, Thai Binh Nguyen, Khoat Than
2019 J jnl
Eliminating overfitting of probabilistic topic models on short and noisy text: The role of dropout.
Int. J. Approx. Reason.
Cuong Ha, Van-Dang Tran, Ngo Van Linh, Khoat Than
2019 — conf
Employing the Correspondence of Relations and Connectives to Identify Implicit Discourse Relations via Label Embeddings.
ACL (1)
Linh The Nguyen, Ngo Van Linh, Khoat Than, Thien Huu Nguyen
2019 — conf
Enriching User Representation in Neural Matrix Factorization.
RIVF
Thanh Hai Hoang, Anh Phan Tuan, Ngo Van Linh, Khoat Than
2019 C conf
From Implicit to Explicit Feedback: A deep neural network for modeling the sequential behavior of online users.
ACML
Anh Phan Tuan, Nhat Nguyen Trong, Duong Bui Trong, Ngo Van Linh, Khoat Than
2019 — conf
Infinite Dropout for training Bayesian models from data streams.
IEEE BigData
Van-Son Nguyen, Duc-Tung Nguyen, Ngo Van Linh, Khoat Than
2018 J jnl
Collaborative Topic Model for Poisson distributed ratings.
Int. J. Approx. Reason.
Hoa M. Le, Son Ta Cong, Quyen Pham The, Ngo Van Linh, Khoat Than
2018 — conf
Reducing Class Overlapping in Supervised Dimension Reduction.
SoICT
Nguyen Trong Tung, Vu Hoang Dieu, Khoat Than, Ngo Van Linh
2017 J jnl
An effective and interpretable method for document classification.
Knowl. Inf. Syst.
Ngo Van Linh, Nguyen Kim Anh, Khoat Than, Chien Nguyen Dang
2017 — conf
Keeping Priors in Streaming Bayesian Learning.
PAKDD (2)
Duc Anh Nguyen, Ngo Van Linh, Nguyen Kim Anh, Khoat Than
2016 — conf
Enabling Hierarchical Dirichlet Processes to Work Better for Short Texts at Large Scale.
PAKDD (2)
Khai Mai, Sang Mai, Anh Nguyen, Ngo Van Linh, Khoat Than
2016 — conf
Streaming aspect-sentiment analysis.
RIVF
Vu Le Anh, Chien Phung Van, Cuong Vu Cao, Ngo Van Linh, Khoat Than
2015 — conf
Effective and Interpretable Document Classification Using Distinctly Labeled Dirichlet Process Mixture Models of von Mises-Fisher Distributions.
DASFAA (2)
Ngo Van Linh, Nguyen Kim Anh, Khoat Than, Nguyen Nguyen Tat
2014 — conf
An Effective NMF-Based Method for Supervised Dimension Reduction.
KSE
Ngo Van Linh, Nguyen Kim Anh, Khoat Than
2014 — conf
An interpretable method for text summarization based on simplicial non-negative matrix factorization.
SoICT
Nguyen Kim Anh, Nguyen Khac Toi, Ngo Van Linh
2013 — conf
Document classification using semi-supervived mixture model of von Mises-Fisher distributions on document manifold.
SoICT
Nguyen Kim Anh, Ngo Van Linh, Le Hong Ky, Nguyen The Tam
2013 — conf
Document clustering using dirichlet process mixture model of von Mises-Fisher distributions.
SoICT
Nguyen Kim Anh, Nguyen The Tam, Ngo Van Linh
2013 — conf
Document clustering using mixture model of von Mises-Fisher distributions on document manifold.
SoCPaR
Nguyen Kim Anh, Nguyen The Tarn, Ngo Van Linh
2013 — conf
Multi-labeled document classification using semi-supervived mixture model of Watson distributions on document manifold.
SoCPaR
Nguyen Kim Anh, Ngo Van Linh, Nguyen Khac Toi, Nguyen The Tarn
2012 — conf
Efficient label propagation for classification on information networks.
SoICT
Nguyen Thi Kim Anh, Vu Minh Thanh, Ngo Van Linh
2012 — conf
Improving Vietnamese Web Page Classification by Combining Hybrid Feature Selection and Label Propagation with Link Information.
ICCASA
Ngo Van Linh, Nguyen Thi Kim Anh, Cao Manh Dat