Rough Set Approach to Information Tables with Imprecise Decisions. - Masahiro Inuiguchi; Bingjun Li (RSCTC, 2008)

Hybrid forecasting method of GM(1, 1) disaster model with application to regional ggain production. - Bingjun Li; Masahiro Inuiguchi (SMC, 2008)

A Monitoring and Management System for Farmland Environmental Base on Flex and Web Services. - Yanmin Wang; Yuchun Pan; Bingbo Gao; Zhenyu Zhang; Bingjun Li (CCTA (1), 2011)

Dynamical Analysis on Influencing Factors of Grain Production in Henan Province Based on Grey Systems Theory. - Bingjun Li; Chunhua He; Liping Hu; Yanhua Li (Grey Syst. Theory Appl., 2011)

Attribute reduction for imprecise decision tables. - Masahiro Inuiguchi; Bingjun Li (GrC, 2012)

The Smallest Randić Index for Trees. - Bingjun Li; Weijun Liu (WISM, 2012)

GM(1, 1) forecast under function cot?x transformation. - Jing Ye; Bingjun Li; Fang Liu (Grey Syst. Theory Appl., 2013)

Grey-Markov prediction model based on background value optimization and central-point triangular whitenization weight function. - Jing Ye; Yaoguo Dang; Bingjun Li (Commun. Nonlinear Sci. Numer. Simul., 2018)

Application of combined model with DGM(1, 1) and linear regression in grain yield prediction. - Bingjun Li; Weiming Yang; Xiaolu Li (Grey Syst. Theory Appl., 2018)

Color Recognition for Rubik's Cube Robot. - Shenglan Liu 001; Dong Jiang; Lin Feng 001; Feilong Wang; Zhanbo Feng; Xiang Liu; Shuai Guo 002; Bingjun Li; Yuchen Cong (CoRR, 2019)

An Action of the Picard Group on Generalized Euler Classes. - Bingjun Li; Jianjun Jiao; Dan Yang (SimuTools (2), 2020)

On Exponential Stability for Delayed Inertial BAM Neural Networks via Non-reduced Order Approach. - Bingnan Tang; Bingjun Li; Jianjun Jiao; Fengjun Di (SimuTools (1), 2020)

Grey relational decision making model of three-parameter interval grey number based on AHP and DEA. - Bingjun Li; Xiaoxiao Zhu (Grey Syst. Theory Appl., 2020)

Cancer molecular subtype classification by graph convolutional networks on multi-omics data. - Bingjun Li; Tianyu Wang; Sheida Nabavi (BCB, 2021)

Single-cell RNA sequencing data clustering using graph convolutional networks. - Tianyu Wang; Bingjun Li; Sheida Nabavi (BIBM, 2021)

Outdoor positioning system using received signal strength indicator based on reliability. - Bingjun Li; Ryo Ishizuka; Kaidi Wang; Shigeyuki Tateno (SICE, 2021)

Multidimensional research on agrometeorological disasters based on grey BP neural network. - Bingjun Li; Shuhua Zhang (Grey Syst. Theory Appl., 2021)

Prediction of grain supply and demand structural balance in China based on grey models. - Weiming Yang; Bingjun Li (Grey Syst. Theory Appl., 2021)

Research on node importance evaluation of complex products based on three-parameter interval grey number grey relational model. - Congdong Li; Weiming Yang; Yinyun Yu; Bingjun Li (J. Intell. Fuzzy Syst., 2021)

Semi-supervised classification of disease prognosis using CR images with clinical data structured graph. - Jun Bai; Bingjun Li; Sheida Nabavi (BCB, 2022)

Matrix form of interval multivariable gray model and its application. - Sandang Guo; Yaqian Jing; Bingjun Li (Grey Syst. Theory Appl., 2022)

Application progress of grey model technology in agricultural science. - Bingjun Li; Shuhua Zhang; Wenyan Li 005; Yifan Zhang (Grey Syst. Theory Appl., 2022)

Contrastive Learning in Single-cell Multiomics Clustering. - Bingjun Li; Sheida Nabavi (BCB, 2023)

scGEMOC, A Graph Embedded Contrastive Learning Single-cell Multiomics Clustering Model. - Bingjun Li; Sheida Nabavi (BIBM, 2023)

DCCNV: Enhanced CNV Detection in Single-Cell Sequencing Using Diffusion Process and Contrastive Learning. - Mostafa Karami; Bingjun Li; Samson Weiner; Sahand Hamzehei; Sheida Nabavi (BCB, 2024)

Multi-modal Spatial Clustering for Spatial Transcriptomics Utilizing High-resolution Histology Images. - Bingjun Li; Mostafa Karami; Masum Shah Junayed; Sheida Nabavi (BIBM, 2024)

Improved allele-specific single-cell copy number estimation in low-coverage DNA-sequencing. - Samson Weiner; Bingjun Li; Sheida Nabavi (Bioinform., 2024)

A multimodal graph neural network framework for cancer molecular subtype classification. - Bingjun Li; Sheida Nabavi (BMC Bioinform., 2024)