10 hours data is all you need. - Zeping Min; Qian Ge; Zhong Li (CoRR, 2022)

Why pseudo label based algorithm is effective? -from the perspective of pseudo labeled data. - Zeping Min; Cheng Tai (CoRR, 2022)

SAN: A Robust End-to-End ASR Model Architecture. - Zeping Min; Qian Ge; Guanhua Huang (ICASSP, 2023)

Exploring the Integration of Large Language Models into Automatic Speech Recognition Systems: An Empirical Study. - Zeping Min; Jinbo Wang 003 (ICONIP (14), 2023)

Attention Link: An Efficient Attention-Based Low Resource Machine Translation Architecture. - Zeping Min (INNS DLIA@IJCNN, 2023)

AMP: A unified framework boosting low resource automatic speech recognition. - Zeping Min; Qian Ge; Zhong Li 004; Weinan E (CoRR, 2023)

Leveraging Local Variance for Pseudo-Label Selection in Semi-supervised Learning. - Zeping Min; Jinfeng Bai; Chengfei Li (AAAI, 2024)

Achieving Margin Maximization Exponentially Fast via Progressive Norm Rescaling. - Mingze Wang; Zeping Min; Lei Wu (ICML, 2024)

Towards document-level event extraction via Binary Contrastive Generation. - Guanhua Huang; Zeping Min; Qian Ge; Zhouwang Yang (Knowl. Based Syst., 2024)

DOCS: Quantifying Weight Similarity for Deeper Insights into Large Language Models. - Zeping Min; Xinshang Wang (ICLR, 2025)