Yingpeng Tang — accepted AI-conference papers

2026

Cross-View Lewis Weight Fusion Empowering Exemplar Replay for Federated Class-Incremental Learning

Zhuang Qi, Yingpeng Tang, Lei Meng, Xiaoxiao Li, Han Yu, Xiangxu Meng

ICML 2026poster

Federated Class-Incremental Learning (FCIL) aims to continually expand a model’s recognition capacity in a distributed environment, enabling it to learn new classes while retaining knowledge of previously seen ones. Exemplar replay has emerged as a promising strategy owing to its simplicity and effe…

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2026

Federated Data and Feature Selection by Generalized CUR Decomposition

Yingpeng Tang, Zhuang Qi, Xiaoli Tang, Wei Zhuo, Sheng-Jun Huang, Han Yu

ICML 2026poster

With the advance of federated learning (FL) in privacy-sensitive domains such as healthcare, finance, and mobile intelligence, the need for efficient and robust training becomes increasingly urgent. Communication bottlenecks, heterogeneous client distributions, and fairness requirements make it esse…

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