Lan Bai

32 papers C 1Journal 24Unranked 7
YearRankTypeTitle / Venue / Authors
2025 J jnl
Symmetry-Aware Short-Term Load Forecasting in Distribution Networks: A Synergistic Enhanced KMA-MVMD-Crossformer Framework.
Symmetry
Jingfeng Zhao, Kunhua Liu, Qi You, Lan Bai, Shuolin Zhang, Huiping Guo, Haowen Liu
2024 J jnl
Generalization Memorization Machine with Zero Empirical Risk for Classification.
Pattern Recognit.
Zhen Wang, Lan Bai, Yuan-Hai Shao
2024 J jnl
Handling Imbalanced Classification Problems by Weighted Generalization Memorization Machine.
Appl. Artif. Intell.
Chen Dou, Yan Lv, Zhen Wang, Lan Bai
2024 — conf
Location-Based Artifact Installation Interaction.
SIGGRAPH Asia XR
Sixue Zhang, Haitao Wang, Zhen Li, Lan Bai
2023 J jnl
Subsidy strategy of sharing logistics platform.
Complex Intell. Syst.
Yingzhen Cai, Lan Bai, Fan Jiang, Shi Yin
2023 J jnl
Twin SVM for conditional probability estimation in binary and multiclass classification.
Pattern Recognit.
Yuan-Hai Shao, Xiao-Jing Lv, Ling-Wei Huang, Lan Bai
2022 J jnl
F $F$ -norm two-dimensional linear discriminant analysis and its application on face recognition.
Int. J. Intell. Syst.
Chun-Na Li, Yi-Fan Qi, Da Zhao, Tingting Guo, Lan Bai
2022 — conf
Fast Support Vector Classifier with Quantile.
ICBICC
Yu Jia Yin, Yan Lv, Wenwen Guo, Lan Bai
2022 — conf
Fast Twin Support Vector Classification for Large Scale Problems.
ICBICC
Yan Lv, Yu Jia Yin, Wenwen Guo, Lan Bai
2022 J jnl
Multiple Flat Projections for Cross-Manifold Clustering.
IEEE Trans. Cybern.
Lan Bai, Yuan-Hai Shao, Zhen Wang, Weijie Chen, Nai-Yang Deng
2022 J jnl
Safe intuitionistic fuzzy twin support vector machine for semi-supervised learning.
Appl. Soft Comput.
Lan Bai, Xu Chen, Zhen Wang, Yuan-Hai Shao
2022 J jnl
Semisupervised Fuzzy Clustering With Fuzzy Pairwise Constraints.
IEEE Trans. Fuzzy Syst.
Zhen Wang, Shan-Shan Wang, Lan Bai, Wen-Si Wang, Yuan-Hai Shao
2022 J jnl
Two-dimensional Bhattacharyya bound linear discriminant analysis with its applications.
Appl. Intell.
Yan-Ru Guo, Yan-Qin Bai, Chun-Na Li, Lan Bai, Yuan-Hai Shao
2021 — conf
Divergent Projection Analysis for Unsupervised Dimensionality Reduction.
ITQM
Shanshan Wang, Lan Bai, Xu Chen, Zhen Wang, Yuan-Hai Shao
2021 J jnl
Fuzzy Discriminant Clustering with Fuzzy Pairwise Constraints.
CoRR
Zhen Wang, Shan-Shan Wang, Lan Bai, Wensi Wang, Yuan-Hai Shao
2021 J jnl
General Plane-Based Clustering With Distribution Loss.
IEEE Trans. Neural Networks Learn. Syst.
Zhen Wang, Yuan-Hai Shao, Lan Bai, Chun-Na Li, Li-Ming Liu
2021 C conf
Research on Acceleration Algorithm for Raw Data Simulation of High Resolution Squint Spotlight SAR.
IGARSS
Zewen Fu, Lan Bai, Zhengwei Guo, Lin Min, Ning Li
2020 J jnl
Multiple Flat Projections for Cross-manifold Clustering.
CoRR
Lan Bai, Yuan-Hai Shao, Wei-Jie Chen, Zhen Wang, Nai-Yang Deng
2020 J jnl
Two-dimensional Bhattacharyya bound linear discriminant analysis with its applications.
CoRR
Yan-Ru Guo, Yan-Qin Bai, Chun-Na Li, Lan Bai, Yuan-Hai Shao
2019 J jnl
A general model for plane-based clustering with loss function.
CoRR
Zhen Wang, Yuan-Hai Shao, Lan Bai, Chun-Na Li, Li-Ming Liu
2019 J jnl
Clustering by twin support vector machine and least square twin support vector classifier with uniform output coding.
Knowl. Based Syst.
Lan Bai, Yuan-Hai Shao, Zhen Wang, Chun-Na Li
2019 J jnl
Identification of the Best Hyperspectral Indices in Estimating Plant Species Richness in Sandy Grasslands.
Remote. Sens.
Yu Peng, Min Fan, Lan Bai, Weiguo Sang, Jinchao Feng, Zhixin Zhao, Ziye Tao
2018 J jnl
Insensitive stochastic gradient twin support vector machines for large scale problems.
Inf. Sci.
Zhen Wang, Yuan-Hai Shao, Lan Bai, Chun-Na Li, Li-Ming Liu, Nai-Yang Deng
2018 J jnl
Reversible Discriminant Analysis.
IEEE Access
Lan Bai, Zhen Wang, Yuan-Hai Shao, Chun-Na Li
2017 J jnl
Stochastic Gradient Twin Support Vector Machine for Large Scale Problems.
CoRR
Zhen Wang, Yuan-Hai Shao, Lan Bai, Li-Ming Liu, Nai-Yang Deng
2016 J jnl
MBLDA: A novel multiple between-class linear discriminant analysis.
Inf. Sci.
Zhen Wang, Yuan-Hai Shao, Lan Bai, Chun-Na Li, Li-Ming Liu, Nai-Yang Deng
2016 J jnl
Weighted Lagrange ε-twin support vector regression.
Neurocomputing
Ya-Fen Ye, Lan Bai, Xiang-Yu Hua, Yuan-Hai Shao, Zhen Wang, Nai-Yang Deng
2015 J jnl
Twin Support Vector Machine for Clustering.
IEEE Trans. Neural Networks Learn. Syst.
Zhen Wang, Yuan-Hai Shao, Lan Bai, Nai-Yang Deng
2014 J jnl
A novel feature selection method for twin support vector machine.
Knowl. Based Syst.
Lan Bai, Zhen Wang, Yuan-Hai Shao, Nai-Yang Deng
2013 — conf
Exploring Determinants of Inflation in China based on L1-∈-Twin Support Vector Regression.
ITQM
Ya-Fen Ye, Hui Cao, Lan Bai, Zhen Wang, Yuan-Hai Shao
2013 — conf
Proximal Plane Clustering via Eigenvalues.
ITQM
Yuan-Hai Shao, Lan Bai, Zhen Wang, Xiang-Yu Hua, Nai-Yang Deng
2012 — conf
Risk control research framework of supply chain of embeddedness structure based on perspective of risk conduction.
CSO
Jinjie Song, Lan Bai, Chunhe Yang