• Pre-Trained Language Models with Topic Attention for Supervised Document Structure Learning,

Dang Pham and Tuan M. V. Le,

The 2024 IEEE International Conference on Big Data (IEEE BigData 2024). [Code]

• FoTo: Targeted Visual Topic Modeling for Focused Analysis of Short Texts,

Sanuj Kumar and Tuan M. V. Le,

The 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024). [Code]

• SeeM: A Shared Latent Variable Model for Unsupervised Multi-View Anomaly Detection,

Phuong Nguyen and Tuan M. V. Le,

The 28th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD 2024). [Code]

• Multi-view Deep Markov Models for Time Series Anomaly Detection,

Phuong Nguyen, Tuan-Hiep Tran, and Tuan M. V. Le,

The 2023 IEEE International Conference on Big Data (IEEE BigData 2023). [Code]

• Utilizing Textual Reviews for Visualizing and Understanding User Preferences (short paper),

Dang Pham and Tuan M. V. Le,

The 2023 IEEE/ACM International Conference on Advances in Social Network Analysis and Mining (ASONAM 2023).

• Focused Stochastic Neighbor Embedding for Better Preserving Points of Interest,

Rafael Baez Ramirez, Sanuj Kumar, Tuan M. V. Le, and Huiping Cao,

REU Symposium at the 9th IEEE/ACM International Conference on Big Data Computing, Applications and Technologies (BDCAT 2022). [Code]

• A Word Embedding Topic Model for Robust Inference of Topics and Visualization,

Sanuj Kumar and Tuan M. V. Le,

The 1st International Conference on AI-ML Systems (AIMLSystems 2021). [Code]

• Neural Topic Models for Hierarchical Topic Detection and Visualization,

Dang Pham and Tuan M. V. Le,

The European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD 2021). [Code]

• Multi-criteria and Review-Based Overall Rating Prediction,

Ceh-Varela Edgar Eduardo, Huiping Cao, and Tuan M. V. Le,

The 25th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD 2021).

• Auto-Encoding Variational Bayes for Inferring Topics and Visualization,

Dang Pham and Tuan M. V. Le,

The 28th International Conference on Computational Linguistics (COLING 2020). [Code]

• ContraVis: Contrastive and Visual Topic Modeling for Comparing Document Collections,

Tuan V. M. Le and Leman Akoglu,

The Web Conference (WWW'19). [Code]

• SemVis: Semantic Visualization for Interactive Topical Analysis (demo paper),

Tuan M. V. Le and Hady W. Lauw,

ACM Conference on Information and Knowledge Management (CIKM'17).

• Semantic Visualization for Short Texts with Word Embeddings,

Tuan M. V. Le and Hady W. Lauw,

International Joint Conference on Artificial Intelligence (IJCAI'17). [Code]

• Word Clouds with Latent Variable Analysis for Visual Comparison of Documents,

Tuan M. V. Le and Hady W. Lauw,

International Joint Conference on Artificial Intelligence (IJCAI'16).

• Semantic Visualization with Neighborhood Graph Regularization,

Tuan M. V. Le and Hady W. Lauw,

Journal of Artificial Intelligence Research (JAIR), Volume 55, pages 1091-1133, 2016 (Award Track). [Code]

• Probabilistic Latent Document Network Embedding,

Tuan M. V. Le and Hady W. Lauw,

IEEE International Conference on Data Mining (ICDM'14). [Code]

• Semantic Visualization for Spherical Representation,

Tuan M. V. Le and Hady W. Lauw,

ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD'14). [Code]

• Manifold Learning for Jointly Modeling Topic and Visualization,

Tuan M. V. Le and Hady W. Lauw,

AAAI Conference on Artificial Intelligence (AAAI'14). Honorable Mention for Outstanding Paper Award. [Code]

• Ontology-based proximity search (short paper),

Tuan M. V. Le, Tru H. Cao, Son M. Hoang and Cho J,

International Conference on Information Integration and Web-based Applications & Services (iiWAS 2011).

• WordNet-Based Information Retrieval Using Common Hypernyms and Combined Features,

Vuong M. Ngo, Tru H. Cao and Tuan M. V. Le,

International Conference on Intelligent Computing and Information Systems (ICICIS 2011).

• Combining Named Entities with WordNet and Using Query-Oriented Spreading Activation for Semantic Text Search,

Vuong M. Ngo, Tru H. Cao and Tuan M. V. Le,

International Conference on Computing and Communication Technologies Research, Innovation and Vision for the Future (RIVF 2010).