Hao-Zhe Liu

According to our database, Hao-Zhe Liu authored at least 2 papers between 2023 and 2024.

Collaborative distances:

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

2024

Asymmetric Beta Loss for Evidence-Based Safe Semi-Supervised Multi-Label Learning.

Hao-Zhe Liu, Ming-Kun Xie, Chen-Chen Zong, Sheng-Jun Huang

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

2023

Class-Distribution-Aware Pseudo-Labeling for Semi-Supervised Multi-Label Learning.

Ming-Kun Xie, Jiahao Xiao, Hao-Zhe Liu, Gang Niu, Masashi Sugiyama, Sheng-Jun Huang

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023