A Novel Visualization Classifier and Its Applications. - Jie Li 055; Xianglong Tang; Xia Li 004 (FSKD (2), 2005)

A new classification model with simple decision rule for discovering optimal feature gene pairs. - Jie Li 055; Xianglong Tang (Comput. Biol. Medicine, 2007)

A new framework for identifying differentially expressed genes. - Jie Li 055; Xianglong Tang; Wei Zhao 008; Jianhua Huang (Pattern Recognit., 2007)

The personal genome browser: visualizing functions of genetic variants. - Liran Juan; Mingxiang Teng; Tianyi Zang; Yafeng Hao; Zhenxing Wang; Chengwu Yan; Yongzhuang Liu; Jie Li 055; Tianjiao Zhang; Yadong Wang 001 (Nucleic Acids Res., 2014)

Using Semantic Association to Extend and Infer Literature-Oriented Relativity Between Terms. - Liang Cheng 006; Jie Li 055; Yang Hu 008; Yue Jiang; Yongzhuang Liu; Yan-Shuo Chu; Zhenxing Wang; Yadong Wang 001 (IEEE ACM Trans. Comput. Biol. Bioinform., 2015)

A network-based pathway-expanding approach for pathway analysis. - Qiaosheng Zhang; Jie Li 055; Haozhe Xie; Hanqing Xue; Yadong Wang 001 (BMC Bioinform., 2016)

Comparison among dimensionality reduction techniques based on Random Projection for cancer classification. - Haozhe Xie; Jie Li 055; Qiaosheng Zhang; Yadong Wang 001 (Comput. Biol. Chem., 2016)

A survey of dimensionality reduction techniques based on random projection. - Haozhe Xie; Jie Li 055; Hanqing Xue (CoRR, 2017)

WDNfinder: A method for minimum driver node set detection and analysis in directed and weighted biological network. - Yan-Shuo Chu; Zhenxing Wang; Rongjie Wang; Ningyi Zhang; Jie Li 055; Yang Hu 008; Mingxiang Teng; Yadong Wang 001 (J. Bioinform. Comput. Biol., 2017)

A Survey on Indigenous Knowledge Systems Databases for African Traditional Medicines. - Catherine Francis Mangare; Jie Li 055 (ICBBS, 2018)

Ensemble of Deep Autoencoder Classifiers for Activity Recognition Based on Sensor Modalities in Smart Homes. - Serge Thomas; Mickala Bourobou; Jie Li 055 (ICPCSEE (2), 2018)

Y-SPCR: A new dimensionality reduction method for gene expression data classification. - Jie Li 055; Zhun Zhao; Li Zhou; Yadong Wang 001 (BIBM, 2019)

WMMDCA: Prediction of Drug Responses by Weight-Based Modular Mapping in Cancer Cell Lines. - Shiming Wang; Jie Li 055; Yadong Wang 001 (IEEE ACM Trans. Comput. Biol. Bioinform., 2021)

scESI: evolutionary sparse imputation for single-cell transcriptomes from nearest neighbor cells. - Qiaoming Liu; Ximei Luo; Jie Li 055; Guohua Wang (Briefings Bioinform., 2022)

M2PP: a novel computational model for predicting drug-targeted pathogenic proteins. - Shiming Wang; Jie Li 055; Yadong Wang 001 (BMC Bioinform., 2022)

A Neighborhood-Based Global Network Model to Predict Drug-Target Interactions. - Shiming Wang; Jie Li 055; Yadong Wang 001; Liran Juan (IEEE ACM Trans. Comput. Biol. Bioinform., 2022)

StackCirRNAPred: computational classification of long circRNA from other lncRNA based on stacking strategy. - Xin Wang 124; Yadong Liu; Jie Li 055; Guohua Wang (BMC Bioinform., 2022)

Leveraging Visual Prompts To Guide Language Modeling for Referring Video Object Segmentation. - Qiqi Gao; Wanjun Zhong; Jie Li 055; Tiejun Zhao (ICIP, 2023)

MTGDC: A Multi-Scale Tensor Graph Diffusion Clustering for Single-Cell RNA Sequencing Data. - Qiaoming Liu; Dong Wang 066; Li Zhou; Jie Li 055; Guohua Wang (IEEE ACM Trans. Comput. Biol. Bioinform., 2023)

MicroRNA Promoter Identification in Human With a Three-level Prediction Method. - Xin Wang 124; Jie Li 055; Guohua Wang (IEEE ACM Trans. Comput. Biol. Bioinform., 2023)

Real-time Image Enhancement with Attention Aggregation. - Qiqi Gao; Jie Li 055; Tiejun Zhao; Yadong Wang 001 (ACM Trans. Multim. Comput. Commun. Appl., 2023)

Predicting Drug-Disease Associations Through Similarity Network Fusion and Multi-View Feature Projection Representation. - Shiming Wang; Jie Li 055; Dong Wang 066; Dechen Xu; Jiahuan Jin; Yadong Wang 001 (IEEE J. Biomed. Health Informatics, 2023)

CLUE: Contrastive language-guided learning for referring video object segmentation. - Qiqi Gao; Wanjun Zhong; Jie Li 055; Tiejun Zhao (Pattern Recognit. Lett., 2024)

DVA: predicting the functional impact of single nucleotide missense variants. - Dong Wang 066; Jie Li 055; Edwin Wang; Yadong Wang 001 (BMC Bioinform., 2024)

MPLBind: Predicting the Effect of Binding Site Point Mutations on Protein-Ligand Binding Affinity Using Protein Large Language Models. - Jiahuan Jin; Jie Li 055 (J. Chem. Inf. Model., 2025)

M-NET: Transforming Single Nucleotide Variations Into Patient Feature Images for the Prediction of Prostate Cancer Metastasis and Identification of Significant Pathways. - Li Zhou; Jie Li 055; Weilong Tan (IEEE J. Biomed. Health Informatics, 2025)