Feng Li

65 papers Journal 36Unranked 29
YearRankTypeTitle / Venue / Authors
2026 J jnl
A Hierarchical Attention-Based Negative Sampling Method for Drug Repositioning Using Neighborhood Interaction Fusion.
IEEE J. Biomed. Health Informatics
Cheng-Long Mi, Ling-Yun Dai, Junliang Shang, Rong Zhu, Juan Wang, Feng Li
2026 J jnl
A multi-objective multi-stage genetic algorithm for community detection in biological networks.
Future Gener. Comput. Syst.
Mingyuan Bi, Junliang Shang, Yahan Li, Anqi Xu, Yaxuan Zhang, Feng Li, Jin-Xing Liu
2026 J jnl
A multi-source similarity fusion method based on hypergraph convolutional networks and graph transformers for predicting miRNA-disease associations.
Comput. Biol. Chem.
Ling-Yun Dai, Cheng-Long Mi, Xu Wang, Junliang Shang, Feng Li, Juan Wang, Rong Zhu
2026 J jnl
Epileptic Seizure Prediction Using Multi-Strategy Data Augmentation and Hierarchical Contrastive Learning.
IEEE J. Biomed. Health Informatics
Longfei Qi, Feng Li, Junliang Shang, Daohui Ge, Shihan Wang, Shasha Yuan
2025 J jnl
A Contrastive Learning-Enhanced Residual Network for Predicting Epileptic Seizures Using EEG Signals.
Int. J. Neural Syst.
Longfei Qi, Shasha Yuan, Feng Li, Junliang Shang, Juan Wang, Shihan Wang
2025 J jnl
A Modified Transformer Network for Seizure Detection Using EEG Signals.
Int. J. Neural Syst.
Wenrong Hu, Juan Wang, Feng Li, Daohui Ge, Yuxia Wang, Qingwei Jia, Shasha Yuan
2025 — conf
A Neighborhood Selection Learning Artificial Bee Colony Algorithm Based on Population Backtracking for Detecting Epistatic Interactions.
ISBRA (1)
Yan Sun, Xiaoqi Tang, Linqian Zhao, Yaxuan Zhang, Junliang Shang, Feng Li, Jin-Xing Liu
2025 — conf
Adaptive Weighting Contrastive Learning for Spatial Domain Identification in Spatial Transcriptomics.
BIBM
Xiyue Li, Ling-Yun Dai, Junliang Shang, Rong Zhu, Feng Li
2025 — conf
Label-Guided Graph Contrastive Learning for Single-Cell Fusion Clustering.
ISBRA (1)
Baojuan Qin, Junliang Shang, Yan Zhao, Xiaohan Zhang, Feng Li, Jin-Xing Liu
2025 — conf
MGAMDA: Multi Source Similarity Fusion-Based Graph Convolutional Neural Network and Attention Mechanism Network for Predicting MiRNA-Disease Associations.
BIBM
Ling-Yun Dai, Cheng-Long Mi, Xu Wang, Juan Wang, Rong Zhu, Feng Li
2025 J jnl
MPSO-CD: A Multi-Objective Particle Swarm Optimization Community Detection Method for Identifying Disease Modules.
IEEE Trans. Comput. Biol. Bioinform.
Xuhui Zhu, Mingyuan Bi, Junliang Shang, Yan Sun, Feng Li, Yuanyuan Zhang, Ling-Yun Dai, Shengjun Li, Jinxing Liu
2025 J jnl
Multi-Affinity network integration based on multi-omics data for tumor stratification.
Biomed. Signal Process. Control.
Feng Li, Yanru Gao, Zhensheng Sun, Shengjun Li, Junliang Shang, Jin-Xing Liu
2025 J jnl
Optimizing transformer-based prediction of human microbe-disease associations through integrated loss strategies.
PeerJ Comput. Sci.
Rong Zhu, Yong Wang, Junliang Shang, Ling-Yun Dai, Feng Li
2025 — conf
PDA-GTGCN: Identification of PiRNA-Disease Associations Based on Group Feature Transformation Graph Convolutional Network.
ISBRA (1)
Xiaoqi Tang, Xianghan Meng, Junliang Shang, Baojuan Qin, Xin He, Yan Zhao, Daohui Ge, Feng Li, Jin-Xing Liu
2025 — conf
Predicting Potential Associations Between Microbes and Diseases Using Graph Attention Auto-encoder and PU Learning.
ICIC (27)
Jie Zheng, Lingyun Dai, Feng Li, Rong Zhu
2025 J jnl
RPMVCDA: Random Perturbation and Multi-View Graph Convolutional Networks for CircRNA-Disease Association Prediction.
IEEE Trans. Comput. Biol. Bioinform.
Xin He, Junliang Shang, Daohui Ge, Feng Li, Jin-Xing Liu
2025 J jnl
STDDAE: Identifying spatial domains in spatial transcriptomics by dual denoising autoencoder with attention mechanism.
Eng. Appl. Artif. Intell.
Yue Gao, Ying-Lian Gao, Cui-Na Jiao, Xu-Ran Dou, Feng Li, Jin-Xin Liu
2025 — conf
SUIFS: A Symmetric Uncertainty Based Interactive Feature Selection Method.
ISBRA (1)
Yan Sun, Xiaohan Zhang, Qi Zhong, Junliang Shang, Qianqian Ren, Feng Li, Jin-Xing Liu
2025 — conf
Spatial Multi-Omics Integration Via Information-Aware Multi-View Contrastive Learning.
BIBM
Conghui Zhang, Ling-Yun Dai, Rong Zhu, Juan Wang, Junliang Shang, Feng Li
2025 J jnl
stDGAC: A novel identifying spatial domains method via graph attention contrastive network for spatial transcriptomics data.
Comput. Biol. Medicine
Jing Jing, Yue Gao, Ying-Lian Gao, Feng Li, Juan Wang, Jin-Xing Liu
2025 J jnl
stMHCG: High-confidence multi-view clustering for identification of spatial domains from spatially resolved transcriptomics.
Neurocomputing
Xiaohan Zhang, Junliang Shang, Yan Zhao, Baojuan Qin, Qianqian Ren, Feng Li, Jin-Xing Liu
2024 J jnl
A Fusion Learning Model Based on Deep Learning for Single-Cell RNA Sequencing Data Clustering.
J. Comput. Biol.
Tian-Jing Qiao, Feng Li, Shasha Yuan, Ling-Yun Dai, Juan Wang
2024 J jnl
A feature extraction framework for discovering pan-cancer driver genes based on multi-omics data.
Quant. Biol.
Xiaomeng Xue, Feng Li, Junliang Shang, Lingyun Dai, Daohui Ge, Qianqian Ren
2024 J jnl
A framework for scRNA-seq data clustering based on multi-view feature integration.
Biomed. Signal Process. Control.
Feng Li, Yang Liu, Jinxing Liu, Daohui Ge, Junliang Shang
2024 — conf
A multi-objective genetic algorithm based on neighborhood coevolution for community detection.
BIBM
Mingyuan Bi, Junliang Shang, Xiaotong Kong, Feng Li, Yuanyuan Zhang, Jin-Xing Liu
2024 J jnl
A review of recent advances in spatially resolved transcriptomics data analysis.
Neurocomputing
Yue Gao, Ying-Lian Gao, Jing Jing, Feng Li, Chun-Hou Zheng, Jin-Xing Liu
2024 — conf
CPSORCL: A Cooperative Particle Swarm Optimization Method with Random Contrastive Learning for Interactive Feature Selection.
ISBRA (2)
Junliang Shang, Yahan Li, Xiaohan Zhang, Feng Li, Yuanyuan Zhang, Jin-Xing Liu
2024 J jnl
Diagnosis-Guided Deep Subspace Clustering Association Study for Pathogenetic Markers Identification of Alzheimer's Disease Based on Comparative Atlases.
IEEE J. Biomed. Health Informatics
Cui-Na Jiao, Junliang Shang, Feng Li, Xinchun Cui, Yan-Li Wang, Ying-Lian Gao, Jin-Xing Liu
2024 J jnl
FSCME: A Feature Selection Method Combining Copula Correlation and Maximal Information Coefficient by Entropy Weights.
IEEE J. Biomed. Health Informatics
Qi Zhong, Junliang Shang, Qianqian Ren, Feng Li, Cui-Na Jiao, Jin-Xing Liu
2024 — conf
Integrating Autoencoder and Multi-View Graph Convolutional Networks for Spatial Domains Identification.
BIBM
Fanhao Meng, Feng Li, Yanru Gao, Daohui Ge, Rong Zhu, Junliang Shang
2024 J jnl
KFDAE: CircRNA-Disease Associations Prediction Based on Kernel Fusion and Deep Auto-Encoder.
IEEE J. Biomed. Health Informatics
Wen-Yue Kang, Ying-Lian Gao, Ying Wang, Feng Li, Jin-Xing Liu
2024 J jnl
M
IEEE J. Biomed. Health Informatics
Shuang Wang, Jin-Xing Liu, Feng Li, Juan Wang, Ying-Lian Gao
2024 J jnl
MGCNRF: Prediction of Disease-Related miRNAs Based on Multiple Graph Convolutional Networks and Random Forest.
IEEE Trans. Neural Networks Learn. Syst.
Yi Yang, Yan Sun, Feng Li, Boxin Guan, Jin-Xing Liu, Junliang Shang
2024 — conf
Multi-Population Ant Colony Optimization With Knowledge-Based Local Searches for Epistasis Detection.
BIBM
Qianqian Ren, Shaoyi Liu, Lianlian Zhang, Junliang Shang, Feng Li
2024 — conf
SGEGCAE: A Sparse Gating Enhanced Graph Convolutional Autoencoder for Multi-omics Data Integration and Classification.
ICIC (LNBI 1)
Junliang Shang, Limin Zhang, Linqian Zhao, Xin He, Yan Zhao, Daohui Ge, Jin-Xing Liu, Feng Li
2024 J jnl
SGFCCDA: Scale Graph Convolutional Networks and Feature Convolution for circRNA-Disease Association Prediction.
IEEE J. Biomed. Health Informatics
Junliang Shang, Linqian Zhao, Xin He, Xianghan Meng, Limin Zhang, Daohui Ge, Feng Li, Jin-Xing Liu
2024 J jnl
SLGCN: Structure-enhanced line graph convolutional network for predicting drug-disease associations.
Knowl. Based Syst.
Bao-Min Liu, Ying-Lian Gao, Feng Li, Chun-Hou Zheng, Jin-Xing Liu
2024 — conf
Spatial domains identification based on multi-view contrastive learning in spatial transcriptomics.
BIBM
Yanru Gao, Feng Li, Fanhao Meng, Daohui Ge, Qianqian Ren, Junliang Shang
2023 — conf
ABCAE: Artificial Bee Colony Algorithm with Adaptive Exploitation for Epistatic Interaction Detection.
ISBRA
Qianqian Ren, Yahan Li, Feng Li, Jin-Xing Liu, Junliang Shang
2023 J jnl
DM-MOGA: a multi-objective optimization genetic algorithm for identifying disease modules of non-small cell lung cancer.
BMC Bioinform.
Junliang Shang, Xuhui Zhu, Yan Sun, Feng Li, Xiangzhen Kong, Jin-Xing Liu
2023 J jnl
GCCN: Graph Capsule Convolutional Network for Progressive Mild Cognitive Impairment Prediction and Pathogenesis Identification Based on Imaging Genetic Data.
IEEE J. Biomed. Health Informatics
Junliang Shang, Qi Zou, Qianqian Ren, Boxin Guan, Feng Li, Jin-Xing Liu, Yan Sun
2023 — conf
MKGSAGE: A Computational Framework via Multiple Kernel Fusion on GraphSAGE for Inferring Potential Disease-Related Microbes.
BIBM
Shuang Wang, Jin-Xing Liu, Bao-Min Liu, Ling-Yun Dai, Feng Li, Ying-Lian Gao
2023 J jnl
MSGCA: Drug-Disease Associations Prediction Based on Multi-Similarities Graph Convolutional Autoencoder.
IEEE J. Biomed. Health Informatics
Ying Wang, Ying-Lian Gao, Juan Wang, Feng Li, Jin-Xing Liu
2023 J jnl
NLRRC: A Novel Clustering Method of Jointing Non-Negative LRR and Random Walk Graph Regularized NMF for Single-Cell Type Identification.
IEEE J. Biomed. Health Informatics
Juan Wang, Linping Wang, Shasha Yuan, Feng Li, Jin-Xing Liu, Junliang Shang
2023 — conf
Spectral Clustering of Single-Cell RNA-Sequencing Data by Multiple Feature Sets Affinity.
ICIC (3)
Yang Liu, Feng Li, Junliang Shang, Daohui Ge, Qianqian Ren, Shengjun Li
2023 — conf
Spectral clustering based on multi-similarity learning method for single-cell RNA-seq data.
BIBM
Lianlian Zhang, Shaoyi Liu, Qianqian Ren, Junliang Shang, Xiangzhen Kong, Feng Li
2023 — conf
idenLD-AREL: identifying lncRNA-disease associations by random forests based on an ensemble learning framework.
BIBM
Yahan Li, Mingrui Zhang, Junliang Shang, Yaxuan Zhang, Feng Li, Jin-Xing Liu
2023 — conf
scGASI: A Graph Autoencoder-Based Single-Cell Integration Clustering Method.
ISBRA
Tian-Jing Qiao, Feng Li, Shasha Yuan, Ling-Yun Dai, Juan Wang
2022 — conf
A Network-Based Voting Method for Identification and Prioritization of Personalized Cancer Driver Genes.
ISBRA
Han Li, Feng Li, Junliang Shang, Xikui Liu, Yan Li
2022 — conf
Artificial bee colony algorithm based on self-adjusting random grouping for high-order epistasis detection.
BIBM
Junliang Shang, Yijun Gu, Yan Sun, Feng Li, Jin-Xin Liu, Boxin Guan
2022 — conf
Construction of Gene Network Based on Inter-tumor Heterogeneity for Tumor Type Identification.
ICIC (2)
Zhensheng Sun, Junliang Shang, Hongyu Duan, Jin-Xing Liu, Xikui Liu, Yan Li, Feng Li
2022 — conf
Identification of cancer driver modules by combining network functional and topology information.
BIBM
Xin Chu, Feng Li, Hongyu Duan, Junliang Shang, Juan Wang, Jin-Xing Liu
2022 — conf
Probability Connectivity-Based Multimodality Regression Analysis for Associating Disease-Specific Multimodal Brain Imaging Phenotypes with Genetic Risk Factors.
BIBM
Cui-Na Jiao, Chun-Hou Zheng, Jin-Xing Liu, Feng Li
2022 — conf
TDCOSR: A Multimodality Fusion Framework for Association Analysis Between Genes and ROIs of Alzheimer's Disease.
ISBRA
Qi Zou, Yan Sun, Feng Li, Juan Wang, Jin-Xing Liu, Junliang Shang
2022 — conf
scSASSL: Self-attention semi-supervised learning with deep generative models to automatically identify cell types.
BIBM
Hongyu Duan, Feng Li, Xin Chu, Zhensheng Sun, Junliang Shang, Xikui Liu, Yan Li
2021 J jnl
DSCMF: prediction of LncRNA-disease associations based on dual sparse collaborative matrix factorization.
BMC Bioinform.
Jin-Xing Liu, Ming-Ming Gao, Zhen Cui, Ying-Lian Gao, Feng Li
2021 J jnl
MOPIO: A Multi-Objective Pigeon-Inspired Optimization Algorithm for Community Detection.
Symmetry
Junliang Shang, Yiting Li, Yan Sun, Feng Li, Yuanyuan Zhang, Jin-Xing Liu
2021 J jnl
Multiscale part mutual information for quantifying nonlinear direct associations in networks.
Bioinform.
Junliang Shang, Jing Wang, Yan Sun, Feng Li, Jin-Xing Liu, Honghai Zhang
2020 J jnl
Detection of Driver Modules with Rarely Mutated Genes in Cancers.
IEEE ACM Trans. Comput. Biol. Bioinform.
Feng Li, Lin Gao, Bingbo Wang
2020 J jnl
IDSSIM: an lncRNA functional similarity calculation model based on an improved disease semantic similarity method.
BMC Bioinform.
Wenwen Fan, Junliang Shang, Feng Li, Yan Sun, Shasha Yuan, Jin-Xing Liu
2019 — conf
Dual Sparse Collaborative Matrix Factorization Method Based on Gaussian Kernel Function for Predicting LncRNA-Disease Associations.
ICIC (3)
Ming-Ming Gao, Zhen Cui, Ying-Lian Gao, Feng Li, Jin-Xing Liu
2019 — conf
Inferring Communities and Key Genes of Triple Negative Breast Cancer Based on Robust Principal Component Analysis and Network Analysis.
IDMB
Qian Ding, Yan Sun, Junliang Shang, Yuanyuan Zhang, Feng Li, Jin-Xing Liu
2019 J jnl
NIPMI: A Network Method Based on Interaction Part Mutual Information to Detect Characteristic Genes From Integrated Data on Multi-Cancers.
IEEE Access
Qian Ding, Junliang Shang, Yan Sun, Guangshuai Liu, Feng Li, Xiguo Yuan, Jin-Xing Liu
2018 J jnl
Feature related multi-view nonnegative matrix factorization for identifying conserved functional modules in multiple biological networks.
BMC Bioinform.
Peizhuo Wang, Lin Gao, Yuxuan Hu, Feng Li
2015 J jnl
Identifying overlapping mutated driver pathways by constructing gene networks in cancer.
BMC Bioinform.
Hao Wu, Lin Gao, Feng Li, Fei Song, Xiaofei Yang, Nikola K. Kasabov