Discovery of MicroRNA conservative sites in drosophila melanogaster. - Wei Lan; Qingfeng Chen; Taoshen Li (BMEI, 2011)

A Bayesian information criterion for portfolio selection. - Wei Lan; Hansheng Wang 002; Chih-Ling Tsai (Comput. Stat. Data Anal., 2012)

Anytime path planning in graduated state space. - Haojie Zhang; Guangming Xiong; Bo Su; Jianwei Gong; Yan Jiang 003; Huiyan Chen; Wei Lan (Intelligent Vehicles Symposium, 2013)

Mining Featured Patterns of MiRNA Interaction Based on Sequence and Structure Similarity. - Qingfeng Chen; Wei Lan; Jianxin Wang 001 (IEEE ACM Trans. Comput. Biol. Bioinform., 2013)

Predicting microRNA-disease associations by integrating multiple biological information. - Wei Lan; Jianxin Wang 001; Min Li 007; Jin Liu 012; Yi Pan 001 (BIBM, 2015)

An implementation of a fountain code-based MIMO-OFDM receiver for real-time wireless video streaming. - Robert Yi-Pin Lu; Wei Lan; Yi-Feng Cheng; Tzi-Dar Chiueh (WiMob, 2015)

Testing predictor significance with ultra high dimensional multivariate responses. - Yingying Ma; Wei Lan; Hansheng Wang 002 (Comput. Stat. Data Anal., 2015)

A high dimensional two-sample test under a low dimensional factor structure. - Yingying Ma; Wei Lan; Hansheng Wang 002 (J. Multivar. Anal., 2015)

Predicting microRNA-environmental factor interactions based on bi-random walk and multi-label learning. - Wei Lan; Jianxin Wang 001; Min Li 007; Chengqian Lu; Fang-Xiang Wu; Yi Pan 001 (BIBM, 2016)

Predicting microRNA-disease associations by walking on four biological networks. - Wei Peng 004; Wei Lan; Jianxin Wang 001; Yi Pan 001 (BIBM, 2016)

Predicting MicroRNA-Disease Associations by Random Walking on Multiple Networks. - Wei Peng 004; Wei Lan; Zeng Yu 001; Jianxin Wang 001; Yi Pan 001 (ISBRA, 2016)

Predicting drug-target interaction using positive-unlabeled learning. - Wei Lan; Jianxin Wang 001; Min Li 007; Jin Liu 012; Yaohang Li; Fang-Xiang Wu; Yi Pan 001 (Neurocomputing, 2016)

Testing covariates in high dimension linear regression with latent factors. - Wei Lan; Yue Ding; Zheng Fang; Kuangnan Fang (J. Multivar. Anal., 2016)

Designing Effective Performance Feedback Notification Systems to Stimulate Content Contribution: Evidence from a Crowdsourcing Recipe Platform. - Ni Huang 001; Bin Gu 003; Gordon Burtch; Yili Hong 002; Liang Chen; Kanliang Wang; Dongpu Fu; Bo Yang; Wei Lan (HICSS, 2017)

SHIHbot: A Facebook chatbot for Sexual Health Information on HIV/AIDS. - Jacqueline Brixey; Rens Hoegen; Wei Lan; Joshua Rusow; Karan Singla; Xusen Yin; Ron Artstein; Anton Leuski (SIGDIAL Conference, 2017)

LDAP: a web server for lncRNA-disease association prediction. - Wei Lan; Min Li 007; Kaijie Zhao; Jin Liu 012; Fang-Xiang Wu; Yi Pan 001; Jianxin Wang 001 (Bioinform., 2017)

Complex Brain Network Analysis and Its Applications to Brain Disorders: A Survey. - Jin Liu 012; Min Li 007; Yi Pan 001; Wei Lan; Ruiqing Zheng; Fang-Xiang Wu; Jianxin Wang 001 (Complex., 2017)

SDTRLS: Predicting Drug-Target Interactions for Complex Diseases Based on Chemical Substructures. - Cheng Yan; Jianxin Wang 001; Wei Lan; Fang-Xiang Wu; Yi Pan 001 (Complex., 2017)

Detecting homogenous predictors in high-dimensional panel model with an MCMC algorithm. - Ronghua Luo; Wei Lan (Commun. Stat. Simul. Comput., 2017)

The Semaphore Identification and Fault Troubleshooting Modus for Spacecraft Originating from Deep Learning and RF Method. - Wei Lan; Chun He; Mingju Wang; Ke Li; Zhijian Zhao (ICCSIP (2), 2018)

KSIBW: Predicting Kinase-Substrate Interactions Based on Bi-random Walk. - Canshang Deng; Qingfeng Chen; Zhixian Liu; Ruiqing Zheng; Jin Liu 012; Jianxin Wang 001; Wei Lan (ISBRA, 2018)

Factor-adjusted multiple testing of correlations. - Lilun Du; Wei Lan; Ronghua Luo; Pingshou Zhong (Comput. Stat. Data Anal., 2018)

A Structure-Driven Method for Information Retrieval-Based Software Change Impact Analysis. - Yun He; Tong Li 004; Wei Wang 140; Wei Lan; Xiang Li (Sci. Program., 2018)

Predicting MicroRNA-Disease Associations Based on Improved MicroRNA and Disease Similarities. - Wei Lan; Jianxin Wang 001; Min Li 007; Jin Liu 012; Fang-Xiang Wu; Yi Pan 001 (IEEE ACM Trans. Comput. Biol. Bioinform., 2018)

Classification of Alzheimer's Disease Using Whole Brain Hierarchical Network. - Jin Liu 012; Min Li 007; Wei Lan; Fang-Xiang Wu; Yi Pan 001; Jianxin Wang 001 (IEEE ACM Trans. Comput. Biol. Bioinform., 2018)

A game prototype for understanding the safety issues of a lifeboat launch. - Min Jiang 001; Wei Lan; Jian Chang 001; Mark Dodwell; Jeremy Jekins; Hui-jun Yang; Ruofeng Tong 001; Jian J. Zhang 001 (Virtual Real., 2018)

Predicting protein functions through non-negative matrix factorization regularized by protein-protein interaction network and gene functional information. - Wei Peng 004; Lun Li; Wei Dai 012; Jielin Du; Wei Lan (BIBM, 2019)

Nonparametric additive beta regression for fractional response with application to body fat data. - Kuangnan Fang; Xinyan Fan; Wei Lan; Bingquan Wang (Ann. Oper. Res., 2019)

Identifying Interactions Between Kinases and Substrates Based on Protein-Protein Interaction Network. - Qingfeng Chen; Canshang Deng; Wei Lan; Zhixian Liu; Ruiqing Zheng; Jin Liu 012; Jianxin Wang 001 (J. Comput. Biol., 2019)

Identifying MiRNA-disease association based on integrating miRNA topological similarity and functional similarity. - Qingfeng Chen; Zhao Zhe; Wei Lan; Ruchang Zhang; Zhiqiang Wang; Cheng Luo; Yi-Ping Phoebe Chen (Quant. Biol., 2019)

DNRLMF-MDA: Predicting microRNA-Disease Associations Based on Similarities of microRNAs and Diseases. - Cheng Yan; Jianxin Wang 001; Peng Ni; Wei Lan; Fang-Xiang Wu; Yi Pan 001 (IEEE ACM Trans. Comput. Biol. Bioinform., 2019)

Slip-Aware Motion Estimation for Off-Road Mobile Robots via Multi-Innovation Unscented Kalman Filter. - Fangxu Liu; Xueyuan Li; Shihua Yuan; Wei Lan (IEEE Access, 2020)

CircR2Cancer: a manually curated database of associations between circRNAs and cancers. - Wei Lan; Mingrui Zhu; Qingfeng Chen; Baoshan Chen; Jin Liu 012; Min Li 007; Yi-Ping Phoebe Chen (Database J. Biol. Databases Curation, 2020)

Identification of early mild cognitive impairment using multi-modal data and graph convolutional networks. - Jin Liu 012; Guanxin Tan; Wei Lan; Jianxin Wang 001 (BMC Bioinform., 2020)

Inferring LncRNA-disease associations based on graph autoencoder matrix completion. - Ximin Wu; Wei Lan; Qingfeng Chen; Yi Dong; Jin Liu 012; Wei Peng 004 (Comput. Biol. Chem., 2020)

Approximate least squares estimation for spatial autoregressive models with covariates. - Yingying Ma; Wei Lan; Fanying Zhou; Hansheng Wang 002 (Comput. Stat. Data Anal., 2020)

Predicting protein functions by using non-negative matrix factorisation with multi-networks co-regularisation. - Wei Peng 004; Jielin Du; Lun Li; Wei Dai 012; Wei Lan (Int. J. Data Min. Bioinform., 2020)

基于"奖励制度"的DPoS共识机制改进 (Improvement of DPoS Consensus Mechanism Based on Positive Incentive). - Mengrong Chen; Ying Lin; Wei Lan; Jinzhao Shan (计算机科学, 2020)

Improved ASD classification using dynamic functional connectivity and multi-task feature selection. - Jin Liu 012; Yu Sheng; Wei Lan; Rui Guo; Yufei Wang; Jianxin Wang 001 (Pattern Recognit. Lett., 2020)

Erratum to: Identifying miRNA-disease association based on integrating miRNA topological similarity and functional similarity. - Qingfeng Chen; Zhao Zhe; Wei Lan; Ruchang Zhang; Zhiqiang Wang; Cheng Luo; Yi-Ping Phoebe Chen (Quant. Biol., 2020)

miRTRS: A Recommendation Algorithm for Predicting miRNA Targets. - Hui Jiang 008; Jianxin Wang 001; Min Li 007; Wei Lan; Fang-Xiang Wu; Yi Pan 001 (IEEE ACM Trans. Comput. Biol. Bioinform., 2020)

A Heterogeneous Graph Convolutional Network-Based Deep Learning Model to Identify miRNA-Disease Association. - Zicheng Che; Wei Peng 004; Wei Dai 012; Shoulin Wei; Wei Lan (ISBRA, 2021)

Improved RRT Algorithms to Solve Path Planning of Multi-Glider in Time-Varying Ocean Currents. - Wei Lan; Xiang Jin; Tianlin Wang; Han Zhou 004 (IEEE Access, 2021)

A comprehensive survey on computational methods of non-coding RNA and disease association prediction. - Xiujuan Lei; Thosini Bamunu Mudiyanselage; Yuchen Zhang 003; Chen Bian; Wei Lan; Ning Yu 004; Yi Pan 001 (Briefings Bioinform., 2021)

Prediction of circRNA-miRNA Associations Based on Network Embedding. - Wei Lan; Mingrui Zhu; Qingfeng Chen; Jianwei Chen; Jin Ye 003; Jin Liu 012; Wei Peng 004; Shirui Pan (Complex., 2021)

Value Iteration Networks with Double Estimator for Planetary Rover Path Planning. - Xiang Jin; Wei Lan; Tianlin Wang; Pengyao Yu (Sensors, 2021)

ILDMSF: Inferring Associations Between Long Non-Coding RNA and Disease Based on Multi-Similarity Fusion. - Qingfeng Chen; Dehuan Lai; Wei Lan; Ximin Wu; Baoshan Chen; Jin Liu 012; Yi-Ping Phoebe Chen; Jianxin Wang 001 (IEEE ACM Trans. Comput. Biol. Bioinform., 2021)

scIAC: clustering scATAC-seq data based on Student's t-distribution similarity imputation and denoising autoencoder. - Wei Lan; Jin Ye; Xun Sun; Xiaoshu Zhu; Qingfeng Chen; Yi Pan 001 (BIBM, 2022)

Dual Channel Hybrid Messaging-Passing Graph Convolutional Network for Recommendation. - Wei Lan; Wenguang Wang (DSAA, 2022)

Graph Convolutional Networks Based on Relational Attention Mechanism for Autism Spectrum Disorders Diagnosis. - Junbin Mao; Yu Sheng; Wei Lan; Xu Tian; Jin Liu 012; Yi Pan 001 (ICIRA (1), 2022)

STgcor: A Distribution-Based Correlation Measurement Method for Spatial Transcriptome Data. - Xiaoshu Zhu; Liyuan Pang; Wei Lan; Shuang Meng; Xiaoqing Peng (ISBRA, 2022)

Neural Path Planning With Multi-Scale Feature Fusion Networks. - Xiang Jin; Wei Lan; Xin Chang (IEEE Access, 2022)

KGANCDA: predicting circRNA-disease associations based on knowledge graph attention network. - Wei Lan; Yi Dong; Qingfeng Chen; Ruiqing Zheng; Jin Liu 012; Yi Pan 001; Yi-Ping Phoebe Chen (Briefings Bioinform., 2022)

Learning-Based Path Planning Algorithm in Ocean Currents for Multi-Glider. - Wei Lan; Xiang Jin; Xin Chang; Tianlin Wang; Han Zhou 004 (Complex., 2022)

Everything you control is not everything: Achieving intention-concealed visit on social networks. - Helin Li; Hui Zhu 001; Xiaodong Lin 001; Rongxing Lu; Zhipeng Yu; Wei Lan (Comput. Secur., 2022)

Asymptotic covariance estimation by Gaussian random perturbation. - Jing Zhou; Wei Lan; Hansheng Wang 002 (Comput. Stat. Data Anal., 2022)

GANLDA: Graph attention network for lncRNA-disease associations prediction. - Wei Lan; Ximin Wu; Qingfeng Chen; Wei Peng 004; Jianxin Wang 001; Yi-Ping Phoebe Chen (Neurocomputing, 2022)

IGNSCDA: Predicting CircRNA-Disease Associations Based on Improved Graph Convolutional Network and Negative Sampling. - Wei Lan; Yi Dong; Qingfeng Chen; Jin Liu 012; Jianxin Wang 001; Yi-Ping Phoebe Chen; Shirui Pan (IEEE ACM Trans. Comput. Biol. Bioinform., 2022)

LDICDL: LncRNA-Disease Association Identification Based on Collaborative Deep Learning. - Wei Lan; Dehuan Lai; Qingfeng Chen; Ximin Wu; Baoshan Chen; Jin Liu 012; Jianxin Wang 001; Yi-Ping Phoebe Chen (IEEE ACM Trans. Comput. Biol. Bioinform., 2022)

NetPro: Neighborhood Interaction-Based Drug Repositioning via Label Propagation. - Yiran Huang; Yongjin Bin; Pingfan Zeng; Wei Lan; Cheng Zhong (IEEE ACM Trans. Comput. Biol. Bioinform., 2023)

Predicting Disease-Associated N7-Methylguanosine (m7G) Sites via Random Walk on Heterogeneous Network. - Yiran Huang; Zhihong Wu; Wei Lan; Cheng Zhong (IEEE ACM Trans. Comput. Biol. Bioinform., 2023)

Predicting miRNA-Disease Associations From miRNA-Gene-Disease Heterogeneous Network With Multi-Relational Graph Convolutional Network Model. - Wei Peng 004; Zicheng Che; Wei Dai 012; Shoulin Wei; Wei Lan (IEEE ACM Trans. Comput. Biol. Bioinform., 2023)

Benchmarking of computational methods for predicting circRNA-disease associations. - Wei Lan; Yi Dong; Hongyu Zhang; Chunling Li; Qingfeng Chen; Jin Liu 012; Jianxin Wang 001; Yi-Ping Phoebe Chen (Briefings Bioinform., 2023)

Inferring disease-associated circRNAs by multi-source aggregation based on heterogeneous graph neural network. - Chengqian Lu; Lishen Zhang; Min Zeng; Wei Lan; Guihua Duan; Jianxin Wang 001 (Briefings Bioinform., 2023)

Improving drug response prediction based on two-space graph convolution. - Wei Peng 004; Tielin Chen; Hancheng Liu; Wei Dai 012; Ning Yu 004; Wei Lan (Comput. Biol. Medicine, 2023)

A Gene Correlation Measurement Method for Spatial Transcriptome Data Based on Partitioning and Distribution. - Xiaoshu Zhu; Liyuan Pang; Xiaojun Ding; Wei Lan; Shuang Meng; Xiaoqing Peng (J. Comput. Biol., 2023)

Predicting drug-drug interactions based on multi-view and multichannel attention deep learning. - Liyu Huang; Qingfeng Chen; Wei Lan (Health Inf. Sci. Syst., 2023)

A practical multi-tab website fingerprinting attack. - Xiaodan Gu; Ming Yang 001; Bingchen Song; Wei Lan; Zhen Ling 001 (J. Inf. Secur. Appl., 2023)

GCLNSTDA: Predicting tsRNA-Disease Association Based on Contrastive Learning and Negative Sampling. - Wei Lan; Wenyi Chen; Chunling Li; Qingfeng Chen; Yi-Ping Phoebe Chen; Yi Pan 001 (BCB, 2024)

A Hybrid Algorithm based on Autoencoder and Text Convolutional Network for Integrating scATAC-seq and scRNA-seq Data. - Xiaoshu Zhu; Jiahui Liu; Wei Lan; Fei Teng (BIBM, 2024)

Single-Cell Multi-omics Clustering Algorithm Based on Adaptive Weighted Hyper-laplacian Regularization. - Wei Lan; Shengzu Huang; Xun Sun; Haibo Liao; Qingfeng Chen; Junyue Cao (ISBRA (2), 2024)

Modeling Single-Cell ATAC-Seq Data Based on Contrastive Learning. - Wei Lan; Weihao Zhou; Qingfeng Chen; Ruiqing Zheng; Yi Pan 001; Yi-Ping Phoebe Chen (ISBRA (1), 2024)

SSLDTI: A novel method for drug-target interaction prediction based on self-supervised learning. - Zhixian Liu; Qingfeng Chen; Wei Lan; Huihui Lu; Shichao Zhang (Artif. Intell. Medicine, 2024)

GloEC: a hierarchical-aware global model for predicting enzyme function. - Yiran Huang; Yufu Lin; Wei Lan; Cuiyu Huang; Cheng Zhong (Briefings Bioinform., 2024)

DeepKEGG: a multi-omics data integration framework with biological insights for cancer recurrence prediction and biomarker discovery. - Wei Lan; Haibo Liao; Qingfeng Chen; Lingzhi Zhu; Yi Pan 001; Yi-Ping Phoebe Chen (Briefings Bioinform., 2024)

MHCLMDA: multihypergraph contrastive learning for miRNA-disease association prediction. - Wei Peng; Zhichen He; Wei Dai; Wei Lan (Briefings Bioinform., 2024)

IBPGNET: lung adenocarcinoma recurrence prediction based on neural network interpretability. - Zhanyu Xu; Haibo Liao; Liuliu Huang; Qingfeng Chen; Wei Lan; Shikang Li (Briefings Bioinform., 2024)

Transformer-Based Single-Cell Language Model: A Survey. - Wei Lan; Guohang He; Mingyang Liu; Qingfeng Chen; Junyue Cao; Wei Peng 004 (Big Data Min. Anal., 2024)

A Survey of Hallucination in Large Visual Language Models. - Wei Lan; Wenyi Chen; Qingfeng Chen; Shirui Pan; Huiyu Zhou 001; Yi Pan 001 (CoRR, 2024)

Supervised centrality via sparse network influence regression: an application to the 2021 Henan floods' social network. - Yingying Ma; Wei Lan; Chenlei Leng; Ting Li; Hansheng Wang (CoRR, 2024)

scMoMtF: An interpretable multitask learning framework for single-cell multi-omics data analysis. - Wei Lan; Tongsheng Ling; Qingfeng Chen; Ruiqing Zheng; Min Li 007; Yi Pan 001 (PLoS Comput. Biol., 2024)

LGCDA: Predicting CircRNA-Disease Association Based on Fusion of Local and Global Features. - Wei Lan; Chunling Li; Qingfeng Chen; Ning Yu 004; Yi Pan 001; Yu Zheng 013; Yi-Ping Phoebe Chen (IEEE ACM Trans. Comput. Biol. Bioinform., 2024)

Multiview Subspace Clustering via Low-Rank Symmetric Affinity Graph. - Wei Lan; Tianchuan Yang; Qingfeng Chen; Shichao Zhang 001; Yi Dong; Huiyu Zhou 001; Yi Pan 001 (IEEE Trans. Neural Networks Learn. Syst., 2024)

RGNCNDDA: Predicting Potential Drug-Disease Associations via Residual Graph Normalized Convolutional Network. - An Qin 007; Wei Lan; Feng Zhan; Ying Tan; Yiran Huang (ISBRA (1), 2025)

Community influence analysis in social networks. - Yuanxing Chen; Kuangnan Fang; Wei Lan; Chih-Ling Tsai; Qingzhao Zhang (Comput. Stat. Data Anal., 2025)

Multichannel Contribution Aware Network for Prostate Cancer Grading in Histopathology Images. - Junlai Qiu; Qingfeng Chen; Wei Lan; Junyue Cao (J. Comput. Biol., 2025)

Inspired by pathogenic mechanisms: A novel gradual multi-modal fusion framework for mild cognitive impairment diagnosis. - Xu Tian; Hong-Dong Li; Hanhe Lin; Chao Li 031; Yu-Ping Wang; Harrison X. Bai; Wei Lan; Jin Liu 012 (Neural Networks, 2025)

Contrastive Clustering Learning for Multi-Behavior Recommendation. - Wei Lan; Guoxian Zhou; Qingfeng Chen; Wenguang Wang; Shirui Pan; Yi Pan 001; Shichao Zhang 001 (ACM Trans. Inf. Syst., 2025)

The Large Language Models on Biomedical Data Analysis: A Survey. - Wei Lan; Zhentao Tang; Mingyang Liu; Qingfeng Chen; Wei Peng 004; Yi-Ping Phoebe Chen; Yi Pan 001 (IEEE J. Biomed. Health Informatics, 2025)