Alex X. Wang

Orcid: 0000-0002-3691-8652

According to our database1, Alex X. Wang authored at least 15 papers between 2022 and 2025.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

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Bibliography

2025
CTVAE: Contrastive Tabular Variational Autoencoder for imbalance data.
Knowl. Inf. Syst., June, 2025

Deterministic Autoencoder using Wasserstein loss for tabular data generation.
Neural Networks, 2025

Blending is all you need: Data-centric ensemble synthetic data.
Inf. Sci., 2025

Addressing imbalance in health data: Synthetic minority oversampling using deep learning.
Comput. Biol. Medicine, 2025

TTVAE: Transformer-based generative modeling for tabular data generation.
Artif. Intell., 2025

Generative AI for Tabular Data Synthesis.
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.
Inf. Process. Manag., January, 2024

Challenges and opportunities of generative models on tabular data.
Appl. Soft Comput., 2024

Comparative Analysis of Oversampling Techniques and Deep Learning for Imbalanced Tabular Data.
Proceedings of the IEEE Region 10 Conference, 2024

Enhancing Data Governance through Data-Centric AI: Case Study in New Zealand Government Sector.
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.
Proceedings of the 16th International Conference on Computer and Automation Engineering, 2024

2023
Synthetic minority oversampling using edited displacement-based k-nearest neighbors.
Appl. Soft Comput., November, 2023

Ensemble <i>k</i>-nearest neighbors based on centroid displacement.
Inf. Sci., June, 2023

Data-centric AI to Improve Early Detection of Mental Illness.
Proceedings of the IEEE Statistical Signal Processing Workshop, 2023

2022
Implementation and Analysis of Centroid Displacement-Based k-Nearest Neighbors.
Proceedings of the Advanced Data Mining and Applications - 18th International Conference, 2022


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