A study on PAPR reduction in OFDM using complex hadamard matrices. - Zeming Dong; Shinya Matsufuji; Yuta Ida; Takahiro Matsumoto (IWSDA, 2017)

Enhancing Code Classification by Mixup-Based Data Augmentation. - Zeming Dong; Qiang Hu; Yuejun Guo 001; Maxime Cordy; Mike Papadakis; Yves Le Traon; Jianjun Zhao 001 (CoRR, 2022)

Enhancing Mixup-Based Graph Learning for Language Processing via Hybrid Pooling. - Zeming Dong; Qiang Hu; Yuejun Guo 001; Maxime Cordy; Mike Papadakis; Yves Le Traon; Jianjun Zhao 001 (CoRR, 2022)

Boosting Source Code Learning with Text-Oriented Data Augmentation: An Empirical Study. - Zeming Dong; Qiang Hu; Yuejun Guo 001; Zhenya Zhang; Jianjun Zhao 001 (QRS Companion, 2023)

MixCode: Enhancing Code Classification by Mixup-Based Data Augmentation. - Zeming Dong; Qiang Hu; Yuejun Guo 001; Maxime Cordy; Mike Papadakis; Zhenya Zhang; Yves Le Traon; Jianjun Zhao 001 (SANER, 2023)

Boosting Source Code Learning with Data Augmentation: An Empirical Study. - Zeming Dong; Qiang Hu; Yuejun Guo 001; Zhenya Zhang; Maxime Cordy; Mike Papadakis; Yves Le Traon; Jianjun Zhao 001 (CoRR, 2023)

Importance Guided Data Augmentation for Neural-Based Code Understanding. - Zeming Dong; Qiang Hu; Xiaofei Xie; Maxime Cordy; Mike Papadakis; Jianjun Zhao 001 (CoRR, 2024)

On the effectiveness of hybrid pooling in mixup-based graph learning for language processing. - Zeming Dong; Qiang Hu; Zhenya Zhang; Yuejun Guo 001; Maxime Cordy; Mike Papadakis; Yves Le Traon; Jianjun Zhao 001 (J. Syst. Softw., 2024)

On the effectiveness of graph data augmentation for source code learning. - Zeming Dong; Qiang Hu; Zhenya Zhang; Jianjun Zhao 001 (Knowl. Based Syst., 2024)

Boosting source code learning with text-oriented data augmentation: an empirical study. - Zeming Dong; Qiang Hu; Yuejun Guo 001; Zhenya Zhang; Maxime Cordy; Mike Papadakis; Yves Le Traon; Jianjun Zhao 001 (Empir. Softw. Eng., 2025)