| 2026 | KDD | Sell It Before You Make It: Revolutionizing E-Commerce with Personalized AI-Generated Items. | Jianghao Lin, Peng Du, Jiaqi Liu, Weite Li, Yong Yu, Weinan Zhang, Yang Cao |
| 2019 | IJCNN | A Semi-supervised Classification Using Gated Linear Model. | Yanni Ren, Weite Li, Jinglu Hu |
| 2018 | ICPR | A Segmented Local Offset Method for Imbalanced Data Classification Using Quasi-Linear Support Vector Machine. | Peifeng Liang, Xin Yuan, Weite Li, Jinglu Hu |
| 2018 | SMC | One-Class Classification Using Quasi-Linear Support Vector Machine. | Peifeng Liang, Weite Li, Yudong Wang, Jinglu Hu |
| 2017 | IJCNN | Large-scale image classification using fast SVM with deep quasi-linear kernel. | Peifeng Liang, Weite Li, Donghang Liu, Jinglu Hu |
| 2017 | IJCNN | A mixture of multiple linear classifiers with sample weight and manifold regularization. | Weite Li, Benhui Chen, Bo Zhou, Jinglu Hu |
| 2017 | IJCNN | A multilayer gated bilinear classifier: From optimizing a deep rectified network to a support vector machine. | Weite Li, Jinglu Hu |
| 2017 | IJCNN | Non-local information for a mixture of multiple linear classifiers. | Weite Li, Peifeng Liang, Xin Yuan, Jinglu Hu |
| 2016 | IJCNN | Enhancing multi-label classification based on local label constraints and classifier chains. | Benhui Chen, Weite Li, Yuqing Zhang, Jinglu Hu |
| 2016 | IJCNN | A deep quasi-linear kernel composition method for support vector machines. | Weite Li, Jinglu Hu, Benhui Chen |
| 2016 | IJCNN | A kernel level composition of multiple local classifiers for nonlinear classification. | Weite Li, Bo Zhou, Jinglu Hu |
| 2015 | IJCNN | Geometric approach of quasi-linear kernel composition for support vector machine. | Weite Li, Jinglu Hu |