Fan Yi — accepted AI-conference papers

2026

Explore and Establish Synergistic Effects Between Weight Pruning and Coreset Selection in Neural Network Training

Weilin Wan, Fan Yi, Weizhong Zhang, Quan Zhou, Cheng Jin

AAAI 2026technical

Modern deep neural networks rely heavily on massive model weights and training samples, incurring substantial computational costs. Weight pruning and coreset selection are two emerging paradigms proposed to improve computational efficiency. In this paper, we first explore the interplay between redu

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2025

Population Normalization for Federated Learning

Zhuoyao Wang, Fan Yi, Peizhu Gong, Caitou He, Cheng Jin, Weizhong Zhang

CVPR 2025poster

Batch normalization (BN) is widely recognized as an essential method in training deep neural networks, facilitating convergence and enhancing model stability. However, in Federated Learning (FL) contexts, where training data are typically heterogeneous and clients often face resource constraints, th…

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