Missing multi-label learning with non-equilibrium based on classification margin. - Yusheng Cheng; Kun Qian 011; Yibin Wang 002; Dawei Zhao 002 (Appl. Soft Comput., 2020)

Missing multi-label learning with non-equilibrium based on two-level autoencoder. - Yusheng Cheng; Fan Song; Kun Qian 011 (Appl. Intell., 2021)

Multi-label Feature Extraction With Distance-Based Graph Attention Network. - Yue Peng; Kun Qian 011; Guojie Song; Fan Min 001 (IJCRS, 2022)

Global and local attention-based multi-label learning with missing labels. - Yusheng Cheng; Kun Qian 011; Fan Min 001 (Inf. Sci., 2022)

Multi-label active learning through serial-parallel neural networks. - Xue-Yang Min; Kun Qian 011; Ben-Wen Zhang; Guojie Song; Fan Min 001 (Knowl. Based Syst., 2022)

Weight matrix sharing for multi-label learning. - Kun Qian 011; Xue-Yang Min; Yusheng Cheng; Fan Min 001 (Pattern Recognit., 2023)

Self-dependence multi-label learning with double k for missing labels. - Kun Qian 011; Xue-Yang Min; Yusheng Cheng; Guojie Song; Fan Min 001 (Artif. Intell. Rev., 2023)

Semi-supervised regression via embedding space mapping and pseudo-label smearing. - Liyan Liu; Jin Zhang; Kun Qian 011; Fan Min 001 (Appl. Intell., 2024)

Multi-label learning for fault diagnosis of pumping units with one positive label. - Kun Qian 011; Jinyu Tang; Qimei Zhao; Shu Zhao; Fan Min 001 (Appl. Soft Comput., 2025)