Geometric approach of quasi-linear kernel composition for support vector machine. - Weite Li; Jinglu Hu (IJCNN, 2015)

Enhancing multi-label classification based on local label constraints and classifier chains. - Benhui Chen; Weite Li; Yuqing Zhang 001; Jinglu Hu (IJCNN, 2016)

A deep quasi-linear kernel composition method for support vector machines. - Weite Li; Jinglu Hu; Benhui Chen (IJCNN, 2016)

A kernel level composition of multiple local classifiers for nonlinear classification. - Weite Li; Bo Zhou 016; Jinglu Hu (IJCNN, 2016)

A Deep Neural Network Based Quasi-Linear Kernel for Support Vector Machines. - Weite Li; Bo Zhou 016; Benhui Chen; Jinglu Hu (IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2016)

A mixture of multiple linear classifiers with sample weight and manifold regularization. - Weite Li; Benhui Chen; Bo Zhou 016; Jinglu Hu (IJCNN, 2017)

A multilayer gated bilinear classifier: From optimizing a deep rectified network to a support vector machine. - Weite Li; Jinglu Hu (IJCNN, 2017)

Non-local information for a mixture of multiple linear classifiers. - Weite Li; Peifeng Liang; Xin Yuan 010; Jinglu Hu (IJCNN, 2017)

Large-scale image classification using fast SVM with deep quasi-linear kernel. - Peifeng Liang; Weite Li; Donghang Liu; Jinglu Hu (IJCNN, 2017)

A Segmented Local Offset Method for Imbalanced Data Classification Using Quasi-Linear Support Vector Machine. - Peifeng Liang; Xin Yuan 010; Weite Li; Jinglu Hu (ICPR, 2018)

One-Class Classification Using Quasi-Linear Support Vector Machine. - Peifeng Liang; Weite Li; Yudong Wang; Jinglu Hu (SMC, 2018)

A Deep Neural Network Based Hierarchical Multi-Label Classifier for Protein Function Prediction. - Xin Yuan 010; Weite Li; Kui Lin; Jinglu Hu (CITS, 2019)

A Semi-supervised Classification Using Gated Linear Model. - Yanni Ren; Weite Li; Jinglu Hu (IJCNN, 2019)

Transparent Collision Visualization of Point Clouds Acquired by Laser Scanning. - Weite Li; Kenya Shigeta; Kyoko Hasegawa; Liang Li 002; Keiji Yano; Motoaki Adachi; Satoshi Tanaka (ISPRS Int. J. Geo Inf., 2019)

Application of the Edge Upsampling Network to Soft-Edge Regions in a 3D-Scanned Point Cloud. - Weite Li; Kyoko Hasegawa; Liang Li 002; Akihiro Tsukamoto; Hiroshi Yamaguchi; Fadjar I. Thufail; Brahmantara; Satoshi Tanaka (AsiaSim, 2021)

Deep Learning-Based Point Upsampling for Edge Enhancement of 3D-Scanned Data and Its Application to Transparent Visualization. - Weite Li; Kyoko Hasegawa; Liang Li 002; Akihiro Tsukamoto; Satoshi Tanaka (Remote. Sens., 2021)

Infrared Small Target Detection Based on Gradient-Intensity Joint Saliency Measure. - Yongsong Li; Zhengzhou Li; Weite Li; Yuchuan Liu (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2022)

Missing Region Completion Network for Large-Scale Laser-Scanned Point Clouds: Application to Transparent Visualization of Cultural Heritage. - Weite Li; Jiao Pan; Kyoko Hasegawa; Liang Li 002; Satoshi Tanaka (Remote. Sens., 2024)

Sell It Before You Make It: Revolutionizing E-Commerce with Personalized AI-Generated Items. - Jianghao Lin; Peng Du; Jiaqi Liu; Weite Li; Yong Yu 001; Weinan Zhang 001; Yang Cao (CoRR, 2025)