Wei Lan

60 papers Journal 47Unranked 13
YearRankTypeTitle / Venue / Authors
2026 J jnl
Coordinator: Semantic-coordinated dynamic fusion for multi-view clustering.
Inf. Fusion
Wei Lan, Yinghao Guo, Qingfeng Chen, Shichao Zhang, Shirui Pan, Huiyu Zhou, Yi Pan
2026 J jnl
Deep Imputation Bi-Stochastic Graph Regularized Matrix Factorization for Clustering Single-Cell RNA-Sequencing Data.
IEEE Trans. Comput. Biol. Bioinform.
Wei Lan, Jianwei Chen, Mingyang Liu, Qingfeng Chen, Jin Liu, Jianxin Wang, Yi-Ping Phoebe Chen
2025 J jnl
CLTDA: Identifying Associations Between tsRNAs and Diseases Based on Contrastive Learning.
Big Data Min. Anal.
Wei Lan, Wenyi Chen, Chunling Li, Qingfeng Chen, Wei Peng, Yi-Ping Phoebe Chen, Xiaoshu Zhu
2025 J jnl
Contrastive Clustering Learning for Multi-Behavior Recommendation.
ACM Trans. Inf. Syst.
Wei Lan, Guoxian Zhou, Qingfeng Chen, Wenguang Wang, Shirui Pan, Yi Pan, Shichao Zhang
2025 J jnl
Inspired by pathogenic mechanisms: A novel gradual multi-modal fusion framework for mild cognitive impairment diagnosis.
Neural Networks
Xu Tian, Hong-Dong Li, Hanhe Lin, Chao Li, Yu-Ping Wang, Harrison X. Bai, Wei Lan, Jin Liu
2025 J jnl
SMDPG: Identifying Metabolite-Disease Associations via Optimized Negative Sampling and Sparse Graph Convolutional Network.
IEEE Trans. Comput. Biol. Bioinform.
Yiran Huang, Qiulong Pu, Wei Lan, Cuiyu Huang, Cheng Zhong
2025 J jnl
The Large Language Models on Biomedical Data Analysis: A Survey.
IEEE J. Biomed. Health Informatics
Wei Lan, Zhentao Tang, Mingyang Liu, Qingfeng Chen, Wei Peng, Yi-Ping Phoebe Chen, Yi Pan
2024 J jnl
A Survey of Hallucination in Large Visual Language Models.
CoRR
Wei Lan, Wenyi Chen, Qingfeng Chen, Shirui Pan, Huiyu Zhou, Yi Pan
2024 J jnl
DeepKEGG: a multi-omics data integration framework with biological insights for cancer recurrence prediction and biomarker discovery.
Briefings Bioinform.
Wei Lan, Haibo Liao, Qingfeng Chen, Lingzhi Zhu, Yi Pan, Yi-Ping Phoebe Chen
2024 — conf
GCLNSTDA: Predicting tsRNA-Disease Association Based on Contrastive Learning and Negative Sampling.
BCB
Wei Lan, Wenyi Chen, Chunling Li, Qingfeng Chen, Yi-Ping Phoebe Chen, Yi Pan
2024 J jnl
GloEC: a hierarchical-aware global model for predicting enzyme function.
Briefings Bioinform.
Yiran Huang, Yufu Lin, Wei Lan, Cuiyu Huang, Cheng Zhong
2024 J jnl
IBPGNET: lung adenocarcinoma recurrence prediction based on neural network interpretability.
Briefings Bioinform.
Zhanyu Xu, Haibo Liao, Liuliu Huang, Qingfeng Chen, Wei Lan, Shikang Li
2024 J jnl
LGCDA: Predicting CircRNA-Disease Association Based on Fusion of Local and Global Features.
IEEE ACM Trans. Comput. Biol. Bioinform.
Wei Lan, Chunling Li, Qingfeng Chen, Ning Yu, Yi Pan, Yu Zheng, Yi-Ping Phoebe Chen
2024 J jnl
MHCLMDA: multihypergraph contrastive learning for miRNA-disease association prediction.
Briefings Bioinform.
Wei Peng, Zhichen He, Wei Dai, Wei Lan
2024 — conf
Modeling Single-Cell ATAC-Seq Data Based on Contrastive Learning.
ISBRA (1)
Wei Lan, Weihao Zhou, Qingfeng Chen, Ruiqing Zheng, Yi Pan, Yi-Ping Phoebe Chen
2024 J jnl
Multiview Subspace Clustering via Low-Rank Symmetric Affinity Graph.
IEEE Trans. Neural Networks Learn. Syst.
Wei Lan, Tianchuan Yang, Qingfeng Chen, Shichao Zhang, Yi Dong, Huiyu Zhou, Yi Pan
2024 J jnl
Transformer-Based Single-Cell Language Model: A Survey.
Big Data Min. Anal.
Wei Lan, Guohang He, Mingyang Liu, Qingfeng Chen, Junyue Cao, Wei Peng
2024 J jnl
Transformer-based Single-Cell Language Model: A Survey.
CoRR
Wei Lan, Guohang He, Mingyang Liu, Qingfeng Chen, Junyue Cao, Wei Peng
2024 J jnl
scMoMtF: An interpretable multitask learning framework for single-cell multi-omics data analysis.
PLoS Comput. Biol.
Wei Lan, Tongsheng Ling, Qingfeng Chen, Ruiqing Zheng, Min Li, Yi Pan
2023 J jnl
Benchmarking of computational methods for predicting circRNA-disease associations.
Briefings Bioinform.
Wei Lan, Yi Dong, Hongyu Zhang, Chunling Li, Qingfeng Chen, Jin Liu, Jianxin Wang, Yi-Ping Phoebe Chen
2023 J jnl
Improving drug response prediction based on two-space graph convolution.
Comput. Biol. Medicine
Wei Peng, Tielin Chen, Hancheng Liu, Wei Dai, Ning Yu, Wei Lan
2023 J jnl
Inferring disease-associated circRNAs by multi-source aggregation based on heterogeneous graph neural network.
Briefings Bioinform.
Chengqian Lu, Lishen Zhang, Min Zeng, Wei Lan, Guihua Duan, Jianxin Wang
2023 J jnl
NetPro: Neighborhood Interaction-Based Drug Repositioning via Label Propagation.
IEEE ACM Trans. Comput. Biol. Bioinform.
Yiran Huang, Yongjin Bin, Pingfan Zeng, Wei Lan, Cheng Zhong
2023 J jnl
Predicting Disease-Associated N7-Methylguanosine (m
IEEE ACM Trans. Comput. Biol. Bioinform.
Yiran Huang, Zhihong Wu, Wei Lan, Cheng Zhong
2023 J jnl
Predicting miRNA-Disease Associations From miRNA-Gene-Disease Heterogeneous Network With Multi-Relational Graph Convolutional Network Model.
IEEE ACM Trans. Comput. Biol. Bioinform.
Wei Peng, Zicheng Che, Wei Dai, Shoulin Wei, Wei Lan
2022 J jnl
GANLDA: Graph attention network for lncRNA-disease associations prediction.
Neurocomputing
Wei Lan, Ximin Wu, Qingfeng Chen, Wei Peng, Jianxin Wang, Yi-Ping Phoebe Chen
2022 — conf
Graph Convolutional Networks Based on Relational Attention Mechanism for Autism Spectrum Disorders Diagnosis.
ICIRA (1)
Junbin Mao, Yu Sheng, Wei Lan, Xu Tian, Jin Liu, Yi Pan
2022 J jnl
IGNSCDA: Predicting CircRNA-Disease Associations Based on Improved Graph Convolutional Network and Negative Sampling.
IEEE ACM Trans. Comput. Biol. Bioinform.
Wei Lan, Yi Dong, Qingfeng Chen, Jin Liu, Jianxin Wang, Yi-Ping Phoebe Chen, Shirui Pan
2022 J jnl
KGANCDA: predicting circRNA-disease associations based on knowledge graph attention network.
Briefings Bioinform.
Wei Lan, Yi Dong, Qingfeng Chen, Ruiqing Zheng, Jin Liu, Yi Pan, Yi-Ping Phoebe Chen
2022 J jnl
LDICDL: LncRNA-Disease Association Identification Based on Collaborative Deep Learning.
IEEE ACM Trans. Comput. Biol. Bioinform.
Wei Lan, Dehuan Lai, Qingfeng Chen, Ximin Wu, Baoshan Chen, Jin Liu, Jianxin Wang, Yi-Ping Phoebe Chen
2022 — conf
STgcor: A Distribution-Based Correlation Measurement Method for Spatial Transcriptome Data.
ISBRA
Xiaoshu Zhu, Liyuan Pang, Wei Lan, Shuang Meng, Xiaoqing Peng
2022 — conf
scIAC: clustering scATAC-seq data based on Student's t-distribution similarity imputation and denoising autoencoder.
BIBM
Wei Lan, Jin Ye, Xun Sun, Xiaoshu Zhu, Qingfeng Chen, Yi Pan
2021 — conf
A Heterogeneous Graph Convolutional Network-Based Deep Learning Model to Identify miRNA-Disease Association.
ISBRA
Zicheng Che, Wei Peng, Wei Dai, Shoulin Wei, Wei Lan
2021 J jnl
A comprehensive survey on computational methods of non-coding RNA and disease association prediction.
Briefings Bioinform.
Xiujuan Lei, Thosini Bamunu Mudiyanselage, Yuchen Zhang, Chen Bian, Wei Lan, Ning Yu, Yi Pan
2021 J jnl
ILDMSF: Inferring Associations Between Long Non-Coding RNA and Disease Based on Multi-Similarity Fusion.
IEEE ACM Trans. Comput. Biol. Bioinform.
Qingfeng Chen, Dehuan Lai, Wei Lan, Ximin Wu, Baoshan Chen, Jin Liu, Yi-Ping Phoebe Chen, Jianxin Wang
2021 J jnl
Prediction of circRNA-miRNA Associations Based on Network Embedding.
Complex.
Wei Lan, Mingrui Zhu, Qingfeng Chen, Jianwei Chen, Jin Ye, Jin Liu, Wei Peng, Shirui Pan
2020 J jnl
CircR2Cancer: a manually curated database of associations between circRNAs and cancers.
Database J. Biol. Databases Curation
Wei Lan, Mingrui Zhu, Qingfeng Chen, Baoshan Chen, Jin Liu, Min Li, Yi-Ping Phoebe Chen
2020 J jnl
Erratum to: Identifying miRNA-disease association based on integrating miRNA topological similarity and functional similarity.
Quant. Biol.
Qingfeng Chen, Zhao Zhe, Wei Lan, Ruchang Zhang, Zhiqiang Wang, Cheng Luo, Yi-Ping Phoebe Chen
2020 J jnl
Identification of early mild cognitive impairment using multi-modal data and graph convolutional networks.
BMC Bioinform.
Jin Liu, Guanxin Tan, Wei Lan, Jianxin Wang
2020 J jnl
Improved ASD classification using dynamic functional connectivity and multi-task feature selection.
Pattern Recognit. Lett.
Jin Liu, Yu Sheng, Wei Lan, Rui Guo, Yufei Wang, Jianxin Wang
2020 J jnl
Inferring LncRNA-disease associations based on graph autoencoder matrix completion.
Comput. Biol. Chem.
Ximin Wu, Wei Lan, Qingfeng Chen, Yi Dong, Jin Liu, Wei Peng
2020 J jnl
Predicting protein functions by using non-negative matrix factorisation with multi-networks co-regularisation.
Int. J. Data Min. Bioinform.
Wei Peng, Jielin Du, Lun Li, Wei Dai, Wei Lan
2020 J jnl
miRTRS: A Recommendation Algorithm for Predicting miRNA Targets.
IEEE ACM Trans. Comput. Biol. Bioinform.
Hui Jiang, Jianxin Wang, Min Li, Wei Lan, Fang-Xiang Wu, Yi Pan
2019 J jnl
DNRLMF-MDA: Predicting microRNA-Disease Associations Based on Similarities of microRNAs and Diseases.
IEEE ACM Trans. Comput. Biol. Bioinform.
Cheng Yan, Jianxin Wang, Peng Ni, Wei Lan, Fang-Xiang Wu, Yi Pan
2019 J jnl
Identifying Interactions Between Kinases and Substrates Based on Protein-Protein Interaction Network.
J. Comput. Biol.
Qingfeng Chen, Canshang Deng, Wei Lan, Zhixian Liu, Ruiqing Zheng, Jin Liu, Jianxin Wang
2019 J jnl
Identifying MiRNA-disease association based on integrating miRNA topological similarity and functional similarity.
Quant. Biol.
Qingfeng Chen, Zhao Zhe, Wei Lan, Ruchang Zhang, Zhiqiang Wang, Cheng Luo, Yi-Ping Phoebe Chen
2019 — conf
Predicting protein functions through non-negative matrix factorization regularized by protein-protein interaction network and gene functional information.
BIBM
Wei Peng, Lun Li, Wei Dai, Jielin Du, Wei Lan
2018 J jnl
Classification of Alzheimer's Disease Using Whole Brain Hierarchical Network.
IEEE ACM Trans. Comput. Biol. Bioinform.
Jin Liu, Min Li, Wei Lan, Fang-Xiang Wu, Yi Pan, Jianxin Wang
2018 — conf
KSIBW: Predicting Kinase-Substrate Interactions Based on Bi-random Walk.
ISBRA
Canshang Deng, Qingfeng Chen, Zhixian Liu, Ruiqing Zheng, Jin Liu, Jianxin Wang, Wei Lan
2018 J jnl
Predicting MicroRNA-Disease Associations Based on Improved MicroRNA and Disease Similarities.
IEEE ACM Trans. Comput. Biol. Bioinform.
Wei Lan, Jianxin Wang, Min Li, Jin Liu, Fang-Xiang Wu, Yi Pan
2017 J jnl
Complex Brain Network Analysis and Its Applications to Brain Disorders: A Survey.
Complex.
Jin Liu, Min Li, Yi Pan, Wei Lan, Ruiqing Zheng, Fang-Xiang Wu, Jianxin Wang
2017 J jnl
LDAP: a web server for lncRNA-disease association prediction.
Bioinform.
Wei Lan, Min Li, Kaijie Zhao, Jin Liu, Fang-Xiang Wu, Yi Pan, Jianxin Wang
2017 J jnl
SDTRLS: Predicting Drug-Target Interactions for Complex Diseases Based on Chemical Substructures.
Complex.
Cheng Yan, Jianxin Wang, Wei Lan, Fang-Xiang Wu, Yi Pan
2016 — conf
Predicting MicroRNA-Disease Associations by Random Walking on Multiple Networks.
ISBRA
Wei Peng, Wei Lan, Zeng Yu, Jianxin Wang, Yi Pan
2016 J jnl
Predicting drug-target interaction using positive-unlabeled learning.
Neurocomputing
Wei Lan, Jianxin Wang, Min Li, Jin Liu, Yaohang Li, Fang-Xiang Wu, Yi Pan
2016 — conf
Predicting microRNA-disease associations by walking on four biological networks.
BIBM
Wei Peng, Wei Lan, Jianxin Wang, Yi Pan
2016 — conf
Predicting microRNA-environmental factor interactions based on bi-random walk and multi-label learning.
BIBM
Wei Lan, Jianxin Wang, Min Li, Chengqian Lu, Fang-Xiang Wu, Yi Pan
2015 — conf
Predicting microRNA-disease associations by integrating multiple biological information.
BIBM
Wei Lan, Jianxin Wang, Min Li, Jin Liu, Yi Pan
2013 J jnl
Mining Featured Patterns of MiRNA Interaction Based on Sequence and Structure Similarity.
IEEE ACM Trans. Comput. Biol. Bioinform.
Qingfeng Chen, Wei Lan, Jianxin Wang
2011 — conf
Discovery of MicroRNA conservative sites in drosophila melanogaster.
BMEI
Wei Lan, Qingfeng Chen, Taoshen Li