Wei-Xuan Bao

According to our database, Wei-Xuan Bao authored at least 5 papers between 2021 and 2026.

Collaborative distances:

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

2026

Collaborative Dual Representations for Semi-Supervised Partial Label Learning.

Wei-Xuan Bao, Yong Rui, Min-Ling Zhang

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2024

Disentangled Partial Label Learning.

Wei-Xuan Bao, Yong Rui, Min-Ling Zhang

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2022

Disambiguation Enabled Linear Discriminant Analysis for Partial Label Dimensionality Reduction.

Min-Ling Zhang, Jing-Han Wu, Wei-Xuan Bao

ACM Trans. Knowl. Discov. Data, 2022

Submodular Feature Selection for Partial Label Learning.

Wei-Xuan Bao, Jun-Yi Hang, Min-Ling Zhang

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

2021

Partial Label Dimensionality Reduction via Confidence-Based Dependence Maximization.

Wei-Xuan Bao, Jun-Yi Hang, Min-Ling Zhang

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021