Ensemble of ML-KNN for classification algorithm recommendation. - Xiaoyan Zhu 003; Chenzhen Ying; Jiayin Wang; Jiaxuan Li 001; Xin Lai 003; Guangtao Wang (Knowl. Based Syst., 2021)

AdaBoost.C2: Boosting Classifiers Chains for Multi-Label Classification. - Jiaxuan Li 001; Xiaoyan Zhu 003; Jiayin Wang (AAAI, 2023)

Dynamic ensemble learning for multi-label classification. - Xiaoyan Zhu 003; Jiaxuan Li 001; Jingtao Ren; Jiayin Wang; Guangtao Wang (Inf. Sci., 2023)

Automated machine learning with dynamic ensemble selection. - Xiaoyan Zhu 003; Jingtao Ren; Jiayin Wang; Jiaxuan Li 001 (Appl. Intell., 2023)

Label-Specific Multi-label Classification with Entropy Guided Clustering. - Jiaxuan Li 001; Tong Zhu; Xiaoyan Zhu 003; Jiayin Wang (ICPR (2), 2024)

Stacked co-training for semi-supervised multi-label learning. - Jiaxuan Li 001; Xiaoyan Zhu 003; Hongrui Wang; Yu Zhang 203; Jiayin Wang (Inf. Sci., 2024)

A ranking-based problem transformation method for weakly supervised multi-label learning. - Jiaxuan Li 001; Xiaoyan Zhu 003; Weichu Zhang; Jiayin Wang (Pattern Recognit., 2024)

Dual-channel graph contrastive learning for multi-label classification with label-specific features and label correlations. - Xiaoyan Zhu 003; Tong Zhu; Jiaxuan Li 001; Jiayin Wang (Neural Comput. Appl., 2024)

TCSR: Self-attention with time and category for session-based recommendation. - Xiaoyan Zhu 003; Yu Zhang 203; Jiaxuan Li 001; Jiayin Wang; Xin Lai 003 (Comput. Intell., 2024)

Multi-Label Ranking Loss Minimization for Matrix Completion. - Jiaxuan Li 001; Xiaoyan Zhu 003; Hongrui Wang; Yu Zhang 203; Xin Lai 003; Jiayin Wang (AAAI, 2025)

Learning multi-behavior user intent for session-based recommendation. - Yu Zhang 203; Xiaoyan Zhu 003; Guopeng He; Jiaxuan Li 001; Jiayin Wang (Expert Syst. Appl., 2025)