| 2026 | PAKDD | Hierarchical Graph-Language Models for Sequential Sentence Classification. | Phuong Nguyen, Tuan M. V. Le, Julian J. McAuley |
| 2024 | PAKDD | SeeM: A Shared Latent Variable Model for Unsupervised Multi-view Anomaly Detection. | Phuong Nguyen, Tuan M. V. Le |
| 2021 | PAKDD | Multi-criteria and Review-Based Overall Rating Prediction. | Edgar Eduardo Ceh-Varela, Huiping Cao, Tuan M. V. Le |
| 2020 | COLING | Auto-Encoding Variational Bayes for Inferring Topics and Visualization. | Dang Pham, Tuan M. V. Le |
| 2019 | WWW | ContraVis: Contrastive and Visual Topic Modeling for Comparing Document Collections. | Tuan M. V. Le, Leman Akoglu |
| 2017 | CIKM | SemVis: Semantic Visualization for Interactive Topical Analysis. | Tuan M. V. Le, Hady W. Lauw |
| 2017 | IJCAI | Semantic Visualization for Short Texts with Word Embeddings. | Tuan M. V. Le, Hady Wirawan Lauw |
| 2016 | IJCAI | Word Clouds with Latent Variable Analysis for Visual Comparison of Documents. | Tuan M. V. Le, Hady Wirawan Lauw |
| 2014 | AAAI | Manifold Learning for Jointly Modeling Topic and Visualization. | Tuan M. V. Le, Hady Wirawan Lauw |
| 2014 | ICDM | Probabilistic Latent Document Network Embedding. | Tuan M. V. Le, Hady Wirawan Lauw |
| 2014 | KDD | Semantic visualization for spherical representation. | Tuan M. V. Le, Hady Wirawan Lauw |
| 2011 | IIWAS | Ontology-based proximity search. | Tuan M. V. Le, Tru Hoang Cao, Son M. Hoang, Junghoo Cho |