ρ-hot Lexicon Embedding-based Two-level LSTM for Sentiment Analysis. - Ou Wu 001; Tao Yang 033; Mengyang Li 001; Ming Li (CoRR, 2018)

Compensation Learning. - Rujing Yao; Mengyang Li 001; Ou Wu 001 (CoRR, 2021)

Logit Perturbation. - Mengyang Li 001; Fengguang Su; Ou Wu 001; Ji Zhang 001 (AAAI, 2022)

Two-Level LSTM for Sentiment Analysis With Lexicon Embedding and Polar Flipping. - Ou Wu 001; Tao Yang 033; Mengyang Li 001; Ming Li (IEEE Trans. Cybern., 2022)

Investigating annotation noise for named entity recognition. - Yu Zhu; Yingchun Ye; Mengyang Li 001; Ji Zhang 001; Ou Wu 001 (Neural Comput. Appl., 2023)

Is Data Valuation Learnable and Interpretable? - Ou Wu 001; Weiyao Zhu; Mengyang Li 001 (CoRR, 2024)

Revisiting the Effective Number Theory for Imbalanced Learning. - Ou Wu 001; Mengyang Li 001 (IEEE Trans. Knowl. Data Eng., 2024)

Investigating the Sample Weighting Mechanism Using an Interpretable Weighting Framework. - Xiaoling Zhou; Ou Wu 001; Mengyang Li 001 (IEEE Trans. Knowl. Data Eng., 2024)

Class-Level Logit Perturbation. - Mengyang Li 001; Fengguang Su; Ou Wu 001; Ji Zhang 001 (IEEE Trans. Neural Networks Learn. Syst., 2024)

Toward learnable and interpretable data Shapley valuation for deep learning. - Mengyang Li 001; Weiyao Zhu; Ou Wu 001 (Knowl. Based Syst., 2025)

Delving Into the Training Dynamics for Image Classification. - Mengyang Li 001; Xiaoling Zhou; Ou Wu 001 (IEEE Trans. Image Process., 2025)