Tian-Shuang Wu

According to our database, Tian-Shuang Wu authored at least 4 papers between 2025 and 2026.

Collaborative distances:

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

2026

Breaking the Prototype Bias Loop: Confidence-Aware Federated Contrastive Learning for Highly Imbalanced Clients.

Tian-Shuang Wu, Shen-Huan Lyu, Ning Chen, Yi-Xiao He, Bin Tang, Baoliu Ye, Qingfu Zhang

CoRR, March, 2026

Compressing model with few class-imbalance samples: An out-of-distribution expedition.

Tian-Shuang Wu, Shen-Huan Lyu, Yanyan Wang, Ning Chen, Zhihao Qu, Baoliu Ye

Pattern Recognit. Lett., 2026

Improving multi-label contrastive learning by leveraging label distribution.

Ning Chen, Shen-Huan Lyu, Tian-Shuang Wu, Yanyan Wang, Bin Tang

Pattern Recognit., 2026

2025

Compressing Model with Few Class-Imbalance Samples: An Out-of-Distribution Expedition.

Tian-Shuang Wu, Shen-Huan Lyu, Ning Chen, Zhihao Qu, Baoliu Ye

CoRR, February, 2025