Alex X. Wang

According to our database, Alex X. Wang authored at least 16 papers between 2022 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2026

TTVAE: Transformer-Based Generative Modeling for Tabular Data Generation (Abstract Reprint).

Alex X. Wang, Binh P. Nguyen

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

CTVAE: Contrastive Tabular Variational Autoencoder for imbalance data.

Alex X. Wang, Minh Quang Le, Huu-Thanh Duong, Bay Nguyen Van, Binh P. Nguyen

Knowl. Inf. Syst., June, 2025

Deterministic Autoencoder using Wasserstein loss for tabular data generation.

Alex X. Wang, Binh P. Nguyen

Neural Networks, 2025

Blending is all you need: Data-centric ensemble synthetic data.

Alex X. Wang, Colin R. Simpson, Binh P. Nguyen

Inf. Sci., 2025

Addressing imbalance in health data: Synthetic minority oversampling using deep learning.

Alex X. Wang, Viet-Tuan Le, Hau Nguyen Trung, Binh P. Nguyen

Comput. Biol. Medicine, 2025

TTVAE: Transformer-based generative modeling for tabular data generation.

Alex X. Wang, Binh P. Nguyen

Artif. Intell., 2025

Generative AI for Tabular Data Synthesis.

Alex X. Wang, Binh P. Nguyen, Colin R. Simpson

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2025

2024

Enhancing public research on citizen data: An empirical investigation of data synthesis using Statistics New Zealand's Integrated Data Infrastructure.

Alex X. Wang, Stefanka S. Chukova, Andrew Sporle, Barry J. Milne, Colin R. Simpson, Binh P. Nguyen

Inf. Process. Manag., January, 2024

Challenges and opportunities of generative models on tabular data.

Alex X. Wang, Stefanka S. Chukova, Colin R. Simpson, Binh P. Nguyen

Appl. Soft Comput., 2024

Comparative Analysis of Oversampling Techniques and Deep Learning for Imbalanced Tabular Data.

Alex X. Wang, Colin R. Simpson, Binh P. Nguyen

Proceedings of the IEEE Region 10 Conference, 2024

Enhancing Data Governance through Data-Centric AI: Case Study in New Zealand Government Sector.

Alex X. Wang, Colin R. Simpson, Binh P. Nguyen

Proceedings of the 16th International Conference on Computer and Automation Engineering, 2024

Early Detection of Depression Using Machine Learning and Social Well-Being Survey Data.

Alex X. Wang, Binh P. Nguyen, Tom Elliott, James F. Mbinta, Andrew Sporle, Colin R. Simpson

Proceedings of the 16th International Conference on Computer and Automation Engineering, 2024

2023

Synthetic minority oversampling using edited displacement-based k-nearest neighbors.

Alex X. Wang, Stefanka S. Chukova, Binh P. Nguyen

Appl. Soft Comput., November, 2023

Ensemble <i>k</i>-nearest neighbors based on centroid displacement.

Alex X. Wang, Stefanka S. Chukova, Binh P. Nguyen

Inf. Sci., June, 2023

Data-centric AI to Improve Early Detection of Mental Illness.

Alex X. Wang, Stefanka S. Chukova, Colin R. Simpson, Binh P. Nguyen

Proceedings of the IEEE Statistical Signal Processing Workshop, 2023

2022

Implementation and Analysis of Centroid Displacement-Based k-Nearest Neighbors.

Alex X. Wang, Stefanka S. Chukova, Binh P. Nguyen

Proceedings of the Advanced Data Mining and Applications - 18th International Conference, 2022