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2020 – today
- 2025
[j57]Yuanxing Chen, Kuangnan Fang, Wei Lan, Chih-Ling Tsai, Qingzhao Zhang:
Community influence analysis in social networks. Comput. Stat. Data Anal. 202: 108037 (2025)- 2024
- [j56]Zhixian Liu, Qingfeng Chen, Wei Lan, Huihui Lu, Shichao Zhang:
SSLDTI: A novel method for drug-target interaction prediction based on self-supervised learning. Artif. Intell. Medicine 149: 102778 (2024) - [j55]Zhanyu Xu, Haibo Liao, Liuliu Huang, Qingfeng Chen
, Wei Lan, Shikang Li:
IBPGNET: lung adenocarcinoma recurrence prediction based on neural network interpretability. Briefings Bioinform. 25(3) (2024) - [j54]Yiran Huang, Yufu Lin, Wei Lan, Cuiyu Huang, Cheng Zhong:
GloEC: a hierarchical-aware global model for predicting enzyme function. Briefings Bioinform. 25(5) (2024) - [j53]Wei Lan, Chunling Li, Qingfeng Chen, Ning Yu, Yi Pan, Yu Zheng, Yi-Ping Phoebe Chen:
LGCDA: Predicting CircRNA-Disease Association Based on Fusion of Local and Global Features. IEEE ACM Trans. Comput. Biol. Bioinform. 21(5): 1413-1422 (2024) - [j52]Wei Lan, Tianchuan Yang, Qingfeng Chen, Shichao Zhang, Yi Dong, Huiyu Zhou, Yi Pan:
Multiview Subspace Clustering via Low-Rank Symmetric Affinity Graph. IEEE Trans. Neural Networks Learn. Syst. 35(8): 11382-11395 (2024) - [c19]Wei Lan, Shengzu Huang, Xun Sun, Haibo Liao, Qingfeng Chen, Junyue Cao:
Single-Cell Multi-omics Clustering Algorithm Based on Adaptive Weighted Hyper-laplacian Regularization. ISBRA (2) 2024: 373-382 - [c18]Wei Lan, Weihao Zhou, Qingfeng Chen, Ruiqing Zheng, Yi Pan, Yi-Ping Phoebe Chen:
Modeling Single-Cell ATAC-Seq Data Based on Contrastive Learning. ISBRA (1) 2024: 473-482 - [i1]Wei Lan, Guohang He, Mingyang Liu, Qingfeng Chen, Junyue Cao, Wei Peng:
Transformer-based Single-Cell Language Model: A Survey. CoRR abs/2407.13205 (2024) - 2023
- [j51]Wei Lan, Yi Dong, Hongyu Zhang, Chunling Li, Qingfeng Chen, Jin Liu, Jianxin Wang, Yi-Ping Phoebe Chen:
Benchmarking of computational methods for predicting circRNA-disease associations. Briefings Bioinform. 24(1) (2023) - [j50]Chengqian Lu, Lishen Zhang, Min Zeng, Wei Lan, Guihua Duan, Jianxin Wang:
Inferring disease-associated circRNAs by multi-source aggregation based on heterogeneous graph neural network. Briefings Bioinform. 24(1) (2023) - [j49]Wei Peng, Tielin Chen, Hancheng Liu, Wei Dai, Ning Yu, Wei Lan:
Improving drug response prediction based on two-space graph convolution. Comput. Biol. Medicine 158: 106859 (2023) - [j48]Liyu Huang, Qingfeng Chen, Wei Lan:
Predicting drug-drug interactions based on multi-view and multichannel attention deep learning. Health Inf. Sci. Syst. 11(1): 50 (2023) - [j47]Xiaodan Gu, Ming Yang, Bingchen Song, Wei Lan, Zhen Ling:
A practical multi-tab website fingerprinting attack. J. Inf. Secur. Appl. 79: 103627 (2023) - [j46]Xiaoshu Zhu, Liyuan Pang, Xiaojun Ding, Wei Lan, Shuang Meng, Xiaoqing Peng:
A Gene Correlation Measurement Method for Spatial Transcriptome Data Based on Partitioning and Distribution. J. Comput. Biol. 30(8): 877-888 (2023) - [j45]Yiran Huang, Yongjin Bin, Pingfan Zeng, Wei Lan, Cheng Zhong:
NetPro: Neighborhood Interaction-Based Drug Repositioning via Label Propagation. IEEE ACM Trans. Comput. Biol. Bioinform. 20(3): 2159-2169 (2023) - [j44]Yiran Huang, Zhihong Wu, Wei Lan, Cheng Zhong:
Predicting Disease-Associated N7-Methylguanosine (m7G) Sites via Random Walk on Heterogeneous Network. IEEE ACM Trans. Comput. Biol. Bioinform. 20(5): 3173-3181 (2023) - [j43]Wei Peng, Zicheng Che, Wei Dai, Shoulin Wei, Wei Lan:
Predicting miRNA-Disease Associations From miRNA-Gene-Disease Heterogeneous Network With Multi-Relational Graph Convolutional Network Model. IEEE ACM Trans. Comput. Biol. Bioinform. 20(6): 3363-3375 (2023) - 2022
- [j42]Xiang Jin, Wei Lan, Xin Chang:
Neural Path Planning With Multi-Scale Feature Fusion Networks. IEEE Access 10: 118176-118186 (2022) - [j41]Wei Lan, Yi Dong, Qingfeng Chen, Ruiqing Zheng, Jin Liu, Yi Pan, Yi-Ping Phoebe Chen:
KGANCDA: predicting circRNA-disease associations based on knowledge graph attention network. Briefings Bioinform. 23(1) (2022) - [j40]Wei Lan, Xiang Jin, Xin Chang, Tianlin Wang, Han Zhou:
Learning-Based Path Planning Algorithm in Ocean Currents for Multi-Glider. Complex. 2022: 1715226:1-1715226:17 (2022) - [j39]Helin Li, Hui Zhu, Xiaodong Lin, Rongxing Lu, Zhipeng Yu, Wei Lan:
Everything you control is not everything: Achieving intention-concealed visit on social networks. Comput. Secur. 119: 102778 (2022) - [j38]Jing Zhou, Wei Lan, Hansheng Wang:
Asymptotic covariance estimation by Gaussian random perturbation. Comput. Stat. Data Anal. 171: 107459 (2022) - [j37]Wei Lan, Ximin Wu, Qingfeng Chen, Wei Peng, Jianxin Wang, Yi-Ping Phoebe Chen:
GANLDA: Graph attention network for lncRNA-disease associations prediction. Neurocomputing 469: 384-393 (2022) - [j36]Wei Lan, Dehuan Lai, Qingfeng Chen, Ximin Wu, Baoshan Chen, Jin Liu, Jianxin Wang, Yi-Ping Phoebe Chen:
LDICDL: LncRNA-Disease Association Identification Based on Collaborative Deep Learning. IEEE ACM Trans. Comput. Biol. Bioinform. 19(3): 1715-1723 (2022) - [j35]Wei Lan, Yi Dong, Qingfeng Chen, Jin Liu, Jianxin Wang, Yi-Ping Phoebe Chen, Shirui Pan:
IGNSCDA: Predicting CircRNA-Disease Associations Based on Improved Graph Convolutional Network and Negative Sampling. IEEE ACM Trans. Comput. Biol. Bioinform. 19(6): 3530-3538 (2022) - [c17]Wei Lan, Jin Ye, Xun Sun, Xiaoshu Zhu, Qingfeng Chen, Yi Pan:
scIAC: clustering scATAC-seq data based on Student's t-distribution similarity imputation and denoising autoencoder. BIBM 2022: 206-211 - [c16]Wei Lan, Wenguang Wang:
Dual Channel Hybrid Messaging-Passing Graph Convolutional Network for Recommendation. DSAA 2022: 1-7 - [c15]Junbin Mao, Yu Sheng, Wei Lan, Xu Tian, Jin Liu, Yi Pan:
Graph Convolutional Networks Based on Relational Attention Mechanism for Autism Spectrum Disorders Diagnosis. ICIRA (1) 2022: 341-348 - [c14]Xiaoshu Zhu, Liyuan Pang, Wei Lan, Shuang Meng, Xiaoqing Peng:
STgcor: A Distribution-Based Correlation Measurement Method for Spatial Transcriptome Data. ISBRA 2022: 9-18 - 2021
- [j34]Wei Lan, Xiang Jin, Tianlin Wang, Han Zhou:
Improved RRT Algorithms to Solve Path Planning of Multi-Glider in Time-Varying Ocean Currents. IEEE Access 9: 158098-158115 (2021) - [j33]Xiujuan Lei, Thosini Bamunu Mudiyanselage, Yuchen Zhang, Chen Bian, Wei Lan, Ning Yu, Yi Pan:
A comprehensive survey on computational methods of non-coding RNA and disease association prediction. Briefings Bioinform. 22(4) (2021) - [j32]Wei Lan, Mingrui Zhu, Qingfeng Chen, Jianwei Chen, Jin Ye, Jin Liu, Wei Peng, Shirui Pan:
Prediction of circRNA-miRNA Associations Based on Network Embedding. Complex. 2021: 6659695:1-6659695:10 (2021) - [j31]Xiang Jin, Wei Lan, Tianlin Wang, Pengyao Yu:
Value Iteration Networks with Double Estimator for Planetary Rover Path Planning. Sensors 21(24): 8418 (2021) - [j30]Qingfeng Chen, Dehuan Lai, Wei Lan, Ximin Wu, Baoshan Chen, Jin Liu, Yi-Ping Phoebe Chen, Jianxin Wang:
ILDMSF: Inferring Associations Between Long Non-Coding RNA and Disease Based on Multi-Similarity Fusion. IEEE ACM Trans. Comput. Biol. Bioinform. 18(3): 1106-1112 (2021) - [c13]Zicheng Che, Wei Peng, Wei Dai, Shoulin Wei, Wei Lan:
A Heterogeneous Graph Convolutional Network-Based Deep Learning Model to Identify miRNA-Disease Association. ISBRA 2021: 130-141 - 2020
- [j29]Fangxu Liu, Xueyuan Li, Shihua Yuan, Wei Lan:
Slip-Aware Motion Estimation for Off-Road Mobile Robots via Multi-Innovation Unscented Kalman Filter. IEEE Access 8: 43482-43496 (2020) - [j28]Wei Lan, Mingrui Zhu, Qingfeng Chen, Baoshan Chen, Jin Liu, Min Li, Yi-Ping Phoebe Chen:
CircR2Cancer: a manually curated database of associations between circRNAs and cancers. Database J. Biol. Databases Curation 2020 (2020) - [j27]Jin Liu, Guanxin Tan, Wei Lan, Jianxin Wang:
Identification of early mild cognitive impairment using multi-modal data and graph convolutional networks. BMC Bioinform. 21-S(6): 123 (2020) - [j26]Ximin Wu, Wei Lan, Qingfeng Chen, Yi Dong, Jin Liu, Wei Peng:
Inferring LncRNA-disease associations based on graph autoencoder matrix completion. Comput. Biol. Chem. 87: 107282 (2020) - [j25]Yingying Ma, Wei Lan, Fanying Zhou, Hansheng Wang:
Approximate least squares estimation for spatial autoregressive models with covariates. Comput. Stat. Data Anal. 143 (2020) - [j24]Wei Peng, Jielin Du, Lun Li, Wei Dai, Wei Lan:
Predicting protein functions by using non-negative matrix factorisation with multi-networks co-regularisation. Int. J. Data Min. Bioinform. 23(4): 318-342 (2020) - [j23]Mengrong Chen, Ying Lin, Wei Lan, Jinzhao Shan:
基于"奖励制度"的DPoS共识机制改进 (Improvement of DPoS Consensus Mechanism Based on Positive Incentive). 计算机科学 47(2): 269-275 (2020) - [j22]Jin Liu, Yu Sheng, Wei Lan, Rui Guo, Yufei Wang, Jianxin Wang:
Improved ASD classification using dynamic functional connectivity and multi-task feature selection. Pattern Recognit. Lett. 138: 82-87 (2020) - [j21]Qingfeng Chen, Zhao Zhe, Wei Lan, Ruchang Zhang, Zhiqiang Wang, Cheng Luo, Yi-Ping Phoebe Chen:
Erratum to: Identifying miRNA-disease association based on integrating miRNA topological similarity and functional similarity. Quant. Biol. 8(3): 277 (2020) - [j20]Hui Jiang, Jianxin Wang, Min Li, Wei Lan, Fang-Xiang Wu, Yi Pan:
miRTRS: A Recommendation Algorithm for Predicting miRNA Targets. IEEE ACM Trans. Comput. Biol. Bioinform. 17(3): 1032-1041 (2020)
2010 – 2019
- 2019
- [j19]Kuangnan Fang, Xinyan Fan, Wei Lan, Bingquan Wang:
Nonparametric additive beta regression for fractional response with application to body fat data. Ann. Oper. Res. 276(1-2): 331-347 (2019) - [j18]Qingfeng Chen, Canshang Deng, Wei Lan, Zhixian Liu, Ruiqing Zheng, Jin Liu, Jianxin Wang:
Identifying Interactions Between Kinases and Substrates Based on Protein-Protein Interaction Network. J. Comput. Biol. 26(8): 836-845 (2019) - [j17]Qingfeng Chen, Zhao Zhe, Wei Lan, Ruchang Zhang, Zhiqiang Wang, Cheng Luo, Yi-Ping Phoebe Chen:
Identifying MiRNA-disease association based on integrating miRNA topological similarity and functional similarity. Quant. Biol. 7(3): 202-209 (2019) - [j16]Cheng Yan, Jianxin Wang, Peng Ni, Wei Lan, Fang-Xiang Wu, Yi Pan:
DNRLMF-MDA: Predicting microRNA-Disease Associations Based on Similarities of microRNAs and Diseases. IEEE ACM Trans. Comput. Biol. Bioinform. 16(1): 233-243 (2019) - [c12]Wei Peng, Lun Li, Wei Dai, Jielin Du, Wei Lan:
Predicting protein functions through non-negative matrix factorization regularized by protein-protein interaction network and gene functional information. BIBM 2019: 86-89 - 2018
- [j15]Lilun Du, Wei Lan, Ronghua Luo, Pingshou Zhong:
Factor-adjusted multiple testing of correlations. Comput. Stat. Data Anal. 128: 34-47 (2018) - [j14]Yun He, Tong Li, Wei Wang, Wei Lan, Xiang Li:
A Structure-Driven Method for Information Retrieval-Based Software Change Impact Analysis. Sci. Program. 2018: 5494209:1-5494209:16 (2018) - [j13]Jin Liu, Min Li, Wei Lan, Fang-Xiang Wu, Yi Pan, Jianxin Wang:
Classification of Alzheimer's Disease Using Whole Brain Hierarchical Network. IEEE ACM Trans. Comput. Biol. Bioinform. 15(2): 624-632 (2018) - [j12]Wei Lan, Jianxin Wang, Min Li, Jin Liu, Fang-Xiang Wu, Yi Pan:
Predicting MicroRNA-Disease Associations Based on Improved MicroRNA and Disease Similarities. IEEE ACM Trans. Comput. Biol. Bioinform. 15(6): 1774-1782 (2018) - [j11]Min Jiang, Wei Lan, Jian Chang, Mark Dodwell, Jeremy Jekins, Hui-jun Yang, Ruofeng Tong, Jian J. Zhang:
A game prototype for understanding the safety issues of a lifeboat launch. Virtual Real. 22(2): 137-148 (2018) - [c11]Wei Lan, Chun He, Mingju Wang, Ke Li, Zhijian Zhao:
The Semaphore Identification and Fault Troubleshooting Modus for Spacecraft Originating from Deep Learning and RF Method. ICCSIP (2) 2018: 208-219 - [c10]Canshang Deng, Qingfeng Chen, Zhixian Liu, Ruiqing Zheng, Jin Liu, Jianxin Wang, Wei Lan:
KSIBW: Predicting Kinase-Substrate Interactions Based on Bi-random Walk. ISBRA 2018: 151-162 - 2017
- [j10]Wei Lan, Min Li, Kaijie Zhao, Jin Liu, Fang-Xiang Wu, Yi Pan, Jianxin Wang:
LDAP: a web server for lncRNA-disease association prediction. Bioinform. 33(3): 458-460 (2017) - [j9]Cheng Yan, Jianxin Wang, Wei Lan, Fang-Xiang Wu, Yi Pan:
SDTRLS: Predicting Drug-Target Interactions for Complex Diseases Based on Chemical Substructures. Complex. 2017: 2713280:1-2713280:10 (2017) - [j8]Jin Liu, Min Li, Yi Pan, Wei Lan, Ruiqing Zheng, Fang-Xiang Wu, Jianxin Wang:
Complex Brain Network Analysis and Its Applications to Brain Disorders: A Survey. Complex. 2017: 8362741:1-8362741:27 (2017) - [j7]Ronghua Luo, Wei Lan:
Detecting homogenous predictors in high-dimensional panel model with an MCMC algorithm. Commun. Stat. Simul. Comput. 46(9): 7376-7392 (2017) - [c9]Ni Huang, Bin Gu, Gordon Burtch, Yili Hong, Liang Chen, Kanliang Wang, Dongpu Fu, Bo Yang, Wei Lan:
Designing Effective Performance Feedback Notification Systems to Stimulate Content Contribution: Evidence from a Crowdsourcing Recipe Platform. HICSS 2017: 1-10 - [c8]Jacqueline Brixey, Rens Hoegen, Wei Lan, Joshua Rusow, Karan Singla, Xusen Yin, Ron Artstein, Anton Leuski:
SHIHbot: A Facebook chatbot for Sexual Health Information on HIV/AIDS. SIGDIAL Conference 2017: 370-373 - 2016
- [j6]Wei Lan, Jianxin Wang, Min Li, Jin Liu, Yaohang Li, Fang-Xiang Wu, Yi Pan:
Predicting drug-target interaction using positive-unlabeled learning. Neurocomputing 206: 50-57 (2016) - [j5]Wei Lan, Yue Ding, Zheng Fang, Kuangnan Fang:
Testing covariates in high dimension linear regression with latent factors. J. Multivar. Anal. 144: 25-37 (2016) - [c7]Wei Lan, Jianxin Wang, Min Li, Chengqian Lu, Fang-Xiang Wu, Yi Pan:
Predicting microRNA-environmental factor interactions based on bi-random walk and multi-label learning. BIBM 2016: 27-32 - [c6]Wei Peng, Wei Lan, Jianxin Wang, Yi Pan:
Predicting microRNA-disease associations by walking on four biological networks. BIBM 2016: 299-302 - [c5]Wei Peng, Wei Lan, Zeng Yu, Jianxin Wang, Yi Pan:
Predicting MicroRNA-Disease Associations by Random Walking on Multiple Networks. ISBRA 2016: 127-135 - 2015
- [j4]Yingying Ma, Wei Lan, Hansheng Wang:
Testing predictor significance with ultra high dimensional multivariate responses. Comput. Stat. Data Anal. 83: 275-286 (2015) - [j3]Yingying Ma, Wei Lan, Hansheng Wang:
A high dimensional two-sample test under a low dimensional factor structure. J. Multivar. Anal. 140: 162-170 (2015) - [c4]Wei Lan, Jianxin Wang, Min Li, Jin Liu, Yi Pan:
Predicting microRNA-disease associations by integrating multiple biological information. BIBM 2015: 183-188 - [c3]Robert Yi-Pin Lu, Wei Lan, Yi-Feng Cheng, Tzi-Dar Chiueh:
An implementation of a fountain code-based MIMO-OFDM receiver for real-time wireless video streaming. WiMob 2015: 696-703 - 2013
- [j2]Qingfeng Chen, Wei Lan, Jianxin Wang:
Mining Featured Patterns of MiRNA Interaction Based on Sequence and Structure Similarity. IEEE ACM Trans. Comput. Biol. Bioinform. 10(2): 415-422 (2013) - [c2]Haojie Zhang, Guangming Xiong, Bo Su, Jianwei Gong, Yan Jiang, Huiyan Chen, Wei Lan:
Anytime path planning in graduated state space. Intelligent Vehicles Symposium 2013: 358-362 - 2012
- [j1]Wei Lan, Hansheng Wang, Chih-Ling Tsai:
A Bayesian information criterion for portfolio selection. Comput. Stat. Data Anal. 56(1): 88-99 (2012) - 2011
- [c1]Wei Lan, Qingfeng Chen, Taoshen Li:
Discovery of MicroRNA conservative sites in drosophila melanogaster. BMEI 2011: 1711-1714
Coauthor Index
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