Weite Li

20 papers B 11Journal 6Unranked 3
YearRankTypeTitle / Venue / Authors
2026 — conf
Sell It Before You Make It: Revolutionizing E-Commerce with Personalized AI-Generated Items.
KDD (1)
Jianghao Lin, Peng Du, Jiaqi Liu, Weite Li, Yong Yu, Weinan Zhang, Yang Cao
2025 J jnl
Sell It Before You Make It: Revolutionizing E-Commerce with Personalized AI-Generated Items.
CoRR
Jianghao Lin, Peng Du, Jiaqi Liu, Weite Li, Yong Yu, Weinan Zhang, Yang Cao
2024 J jnl
Missing Region Completion Network for Large-Scale Laser-Scanned Point Clouds: Application to Transparent Visualization of Cultural Heritage.
Remote. Sens.
Weite Li, Jiao Pan, Kyoko Hasegawa, Liang Li, Satoshi Tanaka
2022 J jnl
Infrared Small Target Detection Based on Gradient-Intensity Joint Saliency Measure.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens.
Yongsong Li, Zhengzhou Li, Weite Li, Yuchuan Liu
2021 — conf
Application of the Edge Upsampling Network to Soft-Edge Regions in a 3D-Scanned Point Cloud.
AsiaSim
Weite Li, Kyoko Hasegawa, Liang Li, Akihiro Tsukamoto, Hiroshi Yamaguchi, Fadjar I. Thufail, Brahmantara, Satoshi Tanaka
2021 J jnl
Deep Learning-Based Point Upsampling for Edge Enhancement of 3D-Scanned Data and Its Application to Transparent Visualization.
Remote. Sens.
Weite Li, Kyoko Hasegawa, Liang Li, Akihiro Tsukamoto, Satoshi Tanaka
2019 — conf
A Deep Neural Network Based Hierarchical Multi-Label Classifier for Protein Function Prediction.
CITS
Xin Yuan, Weite Li, Kui Lin, Jinglu Hu
2019 B conf
A Semi-supervised Classification Using Gated Linear Model.
IJCNN
Yanni Ren, Weite Li, Jinglu Hu
2019 J jnl
Transparent Collision Visualization of Point Clouds Acquired by Laser Scanning.
ISPRS Int. J. Geo Inf.
Weite Li, Kenya Shigeta, Kyoko Hasegawa, Liang Li, Keiji Yano, Motoaki Adachi, Satoshi Tanaka
2018 B conf
A Segmented Local Offset Method for Imbalanced Data Classification Using Quasi-Linear Support Vector Machine.
ICPR
Peifeng Liang, Xin Yuan, Weite Li, Jinglu Hu
2018 B conf
One-Class Classification Using Quasi-Linear Support Vector Machine.
SMC
Peifeng Liang, Weite Li, Yudong Wang, Jinglu Hu
2017 B conf
A mixture of multiple linear classifiers with sample weight and manifold regularization.
IJCNN
Weite Li, Benhui Chen, Bo Zhou, Jinglu Hu
2017 B conf
A multilayer gated bilinear classifier: From optimizing a deep rectified network to a support vector machine.
IJCNN
Weite Li, Jinglu Hu
2017 B conf
Large-scale image classification using fast SVM with deep quasi-linear kernel.
IJCNN
Peifeng Liang, Weite Li, Donghang Liu, Jinglu Hu
2017 B conf
Non-local information for a mixture of multiple linear classifiers.
IJCNN
Weite Li, Peifeng Liang, Xin Yuan, Jinglu Hu
2016 J jnl
A Deep Neural Network Based Quasi-Linear Kernel for Support Vector Machines.
IEICE Trans. Fundam. Electron. Commun. Comput. Sci.
Weite Li, Bo Zhou, Benhui Chen, Jinglu Hu
2016 B conf
A deep quasi-linear kernel composition method for support vector machines.
IJCNN
Weite Li, Jinglu Hu, Benhui Chen
2016 B conf
A kernel level composition of multiple local classifiers for nonlinear classification.
IJCNN
Weite Li, Bo Zhou, Jinglu Hu
2016 B conf
Enhancing multi-label classification based on local label constraints and classifier chains.
IJCNN
Benhui Chen, Weite Li, Yuqing Zhang, Jinglu Hu
2015 B conf
Geometric approach of quasi-linear kernel composition for support vector machine.
IJCNN
Weite Li, Jinglu Hu