Jiaxuan Li

11 papers A* 2Journal 8Unranked 1
YearRankTypeTitle / Venue / Authors
2025 J jnl
Learning multi-behavior user intent for session-based recommendation.
Expert Syst. Appl.
Yu Zhang, Xiaoyan Zhu, Guopeng He, Jiaxuan Li, Jiayin Wang
2025 A* conf
Multi-Label Ranking Loss Minimization for Matrix Completion.
AAAI
Jiaxuan Li, Xiaoyan Zhu, Hongrui Wang, Yu Zhang, Xin Lai, Jiayin Wang
2024 J jnl
A ranking-based problem transformation method for weakly supervised multi-label learning.
Pattern Recognit.
Jiaxuan Li, Xiaoyan Zhu, Weichu Zhang, Jiayin Wang
2024 J jnl
Dual-channel graph contrastive learning for multi-label classification with label-specific features and label correlations.
Neural Comput. Appl.
Xiaoyan Zhu, Tong Zhu, Jiaxuan Li, Jiayin Wang
2024 — conf
Label-Specific Multi-label Classification with Entropy Guided Clustering.
ICPR (2)
Jiaxuan Li, Tong Zhu, Xiaoyan Zhu, Jiayin Wang
2024 J jnl
Stacked co-training for semi-supervised multi-label learning.
Inf. Sci.
Jiaxuan Li, Xiaoyan Zhu, Hongrui Wang, Yu Zhang, Jiayin Wang
2024 J jnl
TCSR: Self-attention with time and category for session-based recommendation.
Comput. Intell.
Xiaoyan Zhu, Yu Zhang, Jiaxuan Li, Jiayin Wang, Xin Lai
2023 A* conf
AdaBoost.C2: Boosting Classifiers Chains for Multi-Label Classification.
AAAI
Jiaxuan Li, Xiaoyan Zhu, Jiayin Wang
2023 J jnl
Automated machine learning with dynamic ensemble selection.
Appl. Intell.
Xiaoyan Zhu, Jingtao Ren, Jiayin Wang, Jiaxuan Li
2023 J jnl
Dynamic ensemble learning for multi-label classification.
Inf. Sci.
Xiaoyan Zhu, Jiaxuan Li, Jingtao Ren, Jiayin Wang, Guangtao Wang
2021 J jnl
Ensemble of ML-KNN for classification algorithm recommendation.
Knowl. Based Syst.
Xiaoyan Zhu, Chenzhen Ying, Jiayin Wang, Jiaxuan Li, Xin Lai, Guangtao Wang