A Class of Binary Cyclic Codes and Their Weight Distributions. - Chao He; Rong Luo; Mei Yang 002 (IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2020)

Multi-instance Multi-label Learning Based on Parallel Attention and Local Label Manifold Correlation. - Mei Yang 002; Wen-Tao Tang; Fan Min 001 (DSAA, 2022)

Multi-instance Embedding Learning Through High-level Instance Selection. - Mei Yang 002; Wen-Xi Zeng; Fan Min 001 (PAKDD (2), 2022)

Attention-to-Embedding Framework for Multi-instance Learning. - Mei Yang 002; Yu-Xuan Zhang; Mao Ye 001; Fan Min 001 (PAKDD (2), 2022)

Towards Interpreting Vulnerability of Multi-Instance Learning via Customized and Universal Adversarial Perturbations. - Yu-Xuan Zhang; Hua Meng; Xuemei Cao 001; Zhengchun Zhou; Mei Yang 002 (CoRR, 2022)

Multi-embedding space set-kernel and its application to multi-instance learning. - Mei Yang 002; Yu-Xuan Zhang; Zhengchun Zhou; Wen-Xi Zeng; Fan Min 001 (Neurocomputing, 2022)

Multi-Instance Ensemble Learning With Discriminative Bags. - Mei Yang 002; Yu-Xuan Zhang; Xizhao Wang; Fan Min 001 (IEEE Trans. Syst. Man Cybern. Syst., 2022)

Multi-instance embedding learning with deconfounded instance-level prediction. - Yu-Xuan Zhang; Mei Yang 002; Zhengchun Zhou; Fan Min 001 (Int. J. Data Sci. Anal., 2023)

Interpreting vulnerabilities of multi-instance learning to adversarial perturbations. - Yu-Xuan Zhang; Hua Meng; Xuemei Cao 001; Zhengchun Zhou; Mei Yang 002; Avik Ranjan Adhikary (Pattern Recognit., 2023)

Dual-perspective multi-instance embedding learning with adaptive density distribution mining. - Mei Yang 002; Tian-Lin Chen; Wei-Zhi Wu 001; Wen-Xi Zeng; Jing-Yu Zhang; Fan Min 001 (Pattern Recognit., 2025)

Multi-instance embedding space set-kernel fusion with discriminability metric. - Mei Yang 002; Jing-Yu Zhang; Zhen Pan; Fan Min 001 (Appl. Intell., 2025)