Not all Minorities are Equal: Empty-Class-Aware Distillation for Heterogeneous Federated Learning. - Kuangpu Guo; Yuhe Ding; Jian Liang 001; Ran He 001; Zilei Wang; Tieniu Tan (CoRR, 2024)

An Enhanced Federated Prototype Learning Method under Domain Shift. - Liang Kuang; Kuangpu Guo; Jian Liang 001; Jianguo Zhang (CoRR, 2024)

Exploring Vacant Classes in Label-Skewed Federated Learning. - Kuangpu Guo; Yuhe Ding; Jian Liang 001; Zilei Wang; Ran He 001; Tieniu Tan (AAAI, 2025)

Personalized Federated Learning via Dual-Prompt Optimization and Cross Fusion. - Yuguang Zhang; Kuangpu Guo; Zhihe Lu; Yunbo Wang; Jian Liang (CoRR, 2025)