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• affiliation:Central South University, School of Information Science and Engineering, Changsha, China

• Min Li —disambiguation page
• Min Li0001(aka: Min (Leon) Li) — IMEC, Heverlee, Belgium
• Min Li0002 —George Mason University, Department of Geography and Geoinformation Science, Fairfax, VA, USA(and 1 more)
• Min Li0003 —Xi'an Jiaotong University, School of Mechanical Engineering, China(and 2 more)
• Min Li0004 — East China University of Science and Technology, Department of Mathematics, Shanghai, China
• Min Li0005 —Chongqing University of Posts and Telecommunications, Key Laboratory of Industrial Internet of Things and Networked Control, China(and 1 more)
• Min Li0006 — Beijing Institute of Technology, Institute of Application Specific Instruction-Set Processors, China
• Min Li0008 —Zhejiang University, College of Information Science and Electronic Engineering, Hangzhou, China(and 4 more)
• Min Li0009 —The University of Texas MD Anderson Cancer Center, Department of Radiation Oncology, Houston, TX, USA(and 1 more)
• Min Li0010 — California State University, College of Business Administration, Sacramento, CA, USA

• Min Li0011 — Southwest Minzu University, College of Electrical and Information Engineering, Chengdu, China
• Min Li0012 — University of Florida, Scalable Software Systems Laboratory, Gainesville, FL, USA
• Min Li0013 — Virginia Tech, Blacksburg, VA, USA
• Min Li0014 — University of California, San Diego, USA
• Min Li0015 — Chinese University of Hong Kong, Department of Mechanical and Automation Engineering, Hong Kong
• Min Li0016 —China University of Geosciences, School of Mechanical Engineering and Electronic Information, Wuhan, China(and 1 more)
• Min Li0017 — Chinese Academy of Sciences, Institute of Geodesy and Geophysics, Wuhan, China
• Min Li0018 — Sanya Aviation and Tourism College, Sanya, China
• Min Li0019 — Chinese University of Hong Kong, CURE Lab, Hong Kong
• Min Li0020 — Nanchang Institute Of Technology, School of Information Engineering, China
• Min Li0021 — Chongqing University, College of Computer Science, MoE Key Laboratory of Dependable Service Computing in Cyber Physical Society, China
• Min Li0022 —Alibaba Group(and 2 more)
• Min Li0023 — University of Electronic Science and Technology of China (UESTC), School of Automation Engineering, Chengdu, China
• Min Li0024 —Shenzhen University, College of Mathematics and Computational Science, China(and 1 more)
• Min Li0025 — Beijing Jiaotong University, Institute of Information Science, Beijing, China
• Min Li0026 — University of Electronic Science and Technology of China, Institute of Fundamental and Frontier Sciences, Chengdu, China
• Min Li0027 —University of Electronic Science and Technology of China, MOE Key Lab for Neuroinformation, Chengdu, China(and 1 more)
• Min Li0028 — Shandong Normal University, School of Mathematics and Statistics, Jinan, China
• Min Li0029 — National University of Singapore, Department of Mechanical Engineering, Singapore
• Min Li0030 —Xi'an Research Institute of High Technology, China(and 1 more)
• Min Li0031 —Southwest Jiaotong University, School of Computing and Artificial Intelligence, Chengdu, China(and 1 more)
• Min Li0032 —Hong Kong University of Science and Technology, Department of Electronic and Computer Engineering, Hong Kong(and 1 more)
• Min Li0033 — Qilu University of Technology, Shandong Computer Science Center, Shandong Academy of Sciences, Jinan, China

• Chi-Min Li
• Jianmin Li(aka: Jian-Min Li) —disambiguation page
• Junmin Li(aka: Jun-Min Li) —disambiguation page
• Katherine Shu-Min Li
• Chu Min Li0001(aka: Chu-Min Li0001, Chumin Li0001) — University of Picardie Jules Verne, Amiens, France
• Limin Sun0001(aka: Li-Min Sun0001) —University of Chinese Academy of Sciences, School of Cyber Security, Beijing, China(and 3 more)
• Limin Wang(aka: Li-Min Wang) —disambiguation page
• Limin Wang0007(aka: LiMin Wang0007, Li-Min Wang0007) — Jilin University, College of Computer Science and Technology, Changchun, China
• Limin Wang0011(aka: Li-Min Wang0011) —Guangdong University of Finance, School of Internet Finance and Information Engineering, Guangzhou, China(and 4 more)
• Limin Zhu0001(aka: LiMin Zhu0001, Li-Min Zhu0001) —Shanghai Jiao Tong University, Department of Mechanical Engineering, Shanghai, China(and 1 more)
• show all similar names

• 2025
• 
  [j157]
  Xingyi Li,Jun Hao,Zhelin Zhao,Junming Li,Xingyu Liao,Min Li,Xuequn Shang:
  PathActMarker: an R package for inferring pathway activity of complex diseases.Frontiers Comput. Sci.19(3):193908 (2025)
• 
  [j156]
  Libo Qin,Qiguang Chen,Yuhang Zhou,Zhi Chen,Yinghui Li,Lizi Liao,Min Li,Wanxiang Che,Philip S. Yu:
  A survey of multilingual large language models.Patterns6(1):101118 (2025)
• 
  [j155]
  Min Zeng,Jingwei Lu,Yiming Li,Chengqian Lu,Shichao Kan,Fei Guo,Min Li:
  CellCircLoc: Deep Neural Network for Predicting and Explaining Cell Line-Specific CircRNA Subcellular Localization.IEEE J. Biomed. Health Informatics29(2):1494-1503 (2025)
• 
  [j154]
  Xiao Jia,Xinliang Sun,Kaili Wang,Min Li:
  DRGCL: Drug Repositioning via Semantic-Enriched Graph Contrastive Learning.IEEE J. Biomed. Health Informatics29(3):1656-1667 (2025)
• 
  [i14]
  Alex Jinpeng Wang,Dongxing Mao,Jiawei Zhang,Weiming Han,Zhuobai Dong,Linjie Li,Yiqi Lin,Zhengyuan Yang,Libo Qin,Fuwei Zhang,Lijuan Wang,Min Li:
  TextAtlas5M: A Large-scale Dataset for Dense Text Image Generation.CoRRabs/2502.07870 (2025)
• 2024
• 
  [j153]
  Meng Wang,Chuqi Lei,Jianxin Wang,Yaohang Li,Min Li:
  TripHLApan: predicting HLA molecules binding peptides based on triple coding matrix and transfer learning.Briefings Bioinform.25(3) (2024)
• 
  [j152]
  Yichao Zhao,Ju Xiang,Xingyuan Shi,Pengzhen Jia,Yan Zhang,Min Li:
  MDDOmics: multi-omics resource of major depressive disorder.Database J. Biol. Databases Curation2024 (2024)
• 
  [j151]
  Min Li,Yi-Ping Phoebe Chen:
  Editorial: The 21st Asian Pacific Bioinformatics Conference 2023.Comput. Biol. Chem.113:108233 (2024)
• 
  [j150]
  Lei Song,Huimin Zhu,Kaili Wang,Min Li:
  LGGA-MPP: Local Geometry-Guided Graph Attention for Molecular Property Prediction.J. Chem. Inf. Model.64(8):3105-3113 (2024)
• 
  [j149]
  Xiang Du,Xinliang Sun,Min Li:
  Knowledge Graph Convolutional Network with Heuristic Search for Drug Repositioning.J. Chem. Inf. Model.64(12):4928-4937 (2024)
• 
  [j148]
  Yang Gao,Zhuang Xiong,Shanshan Shan,Yin Liu,Pengfei Rong,Min Li,Alan H. Wilman,G. Bruce Pike,Feng Liu,Hongfu Sun:
  Plug-and-Play latent feature editing for orientation-adaptive quantitative susceptibility mapping neural networks.Medical Image Anal.94:103160 (2024)
• 
  [j147]
  Wenkang Wang,Xiangmao Meng,Ju Xiang,Hayat Dino Bedru,Min Li:
  Dopcc: Detecting Overlapping Protein Complexes via Multi-Metrics and Co-Core Attachment Method.IEEE ACM Trans. Comput. Biol. Bioinform.21(6):2000-2010 (2024)
• 
  [c80]
  Yongheng Zhang,Qiguang Chen,Min Li,Wanxiang Che,Libo Qin:
  AutoCAP: Towards Automatic Cross-lingual Alignment Planning for Zero-shot Chain-of-Thought.ACL (Findings)2024:9191-9200
• 
  [c79]
  Jianing Wang,Jin A,Hanjun Pan,Ruiqing Zheng,Chaojin Wu,Min Li:
  CellCom: A web server for prediction, visualization, and evaluation of cell-cell communication mediated by ligand-receptor pairs.BCB2024:3:1-3:7
• 
  [c78]
  Senbiao Fang,Huimin Zhu,Yongfan Ming,Kunying Niu,Baoying Zhao,Min Li:
  RBVS: Database of the Receptor-Based Virtual Screening.BCB2024:4:1-4:9
• 
  [c77]
  Yichao Zhao,Ruiqing Zheng,Li Tang,Pengzhen Jia,Min Li:
  An Effective Tool for Differential Interaction Analysis in Single-Cell Hi-C Data.BIBM2024:264-267
• 
  [c76]
  Haojie Zhang,Min Zeng,Jinfeng Ding,Yixiong Liang,Ruiqing Zheng,Zhe Qu,Min Li,Shichao Kan:
  Aligning Multimodal Biomedical Images and Language via One Large Vision-Language Model.BIBM2024:2874-2879
• 
  [c75]
  Yongheng Zhang,Peng Wang,Qiguang Chen,Jingxuan Zhou,Yongmei Wang,Min Li,Libo Qin:
  LabCLIP: Label-Enhanced Clip for Improving Zero-Shot Text Classification.ICASSP2024:11406-11410
• 
  [c74]
  Ju Xiang,Shengkai Chen,Xiangmao Meng,Ruiqing Zheng,Ying Zheng,Min Li:
  MSMK: Multiscale Module Kernel for Identifying Disease-Related Genes.ISBRA (1)2024:13-24
• 
  [c73]
  Yongxin He,Jin Liu,Min Li,Ruiqing Zheng:
  scCoRR: A Data-Driven Self-correction Framework for Labeled scRNA-Seq Data.ISBRA (2)2024:47-58
• 
  [c72]
  Libo Qin,Qiguang Chen,Hao Fei,Zhi Chen,Min Li,Wanxiang Che:
  What Factors Affect Multi-Modal In-Context Learning? An In-Depth Exploration.NeurIPS2024
• 
  [i13]
  Libo Qin,Qiguang Chen,Yuhang Zhou,Zhi Chen,Yinghui Li,Lizi Liao,Min Li,Wanxiang Che,Philip S. Yu:
  Multilingual Large Language Model: A Survey of Resources, Taxonomy and Frontiers.CoRRabs/2404.04925 (2024)
• 
  [i12]
  Libo Qin,Qiguang Chen,Xiachong Feng,Yang Wu,Yongheng Zhang,Yinghui Li,Min Li,Wanxiang Che,Philip S. Yu:
  Large Language Models Meet NLP: A Survey.CoRRabs/2405.12819 (2024)
• 
  [i11]
  Min Li,Chen Chen,Zhuang Xiong,Ying Liu,Pengfei Rong,Shanshan Shan,Feng Liu,Hongfu Sun,Yang Gao:
  IR2QSM: Quantitative Susceptibility Mapping via Deep Neural Networks with Iterative Reverse Concatenations and Recurrent Modules.CoRRabs/2406.12300 (2024)
• 
  [i10]
  Yongheng Zhang,Qiguang Chen,Min Li,Wanxiang Che,Libo Qin:
  AutoCAP: Towards Automatic Cross-lingual Alignment Planning for Zero-shot Chain-of-Thought.CoRRabs/2406.13940 (2024)
• 
  [i9]
  Libo Qin,Qiguang Chen,Hao Fei,Zhi Chen,Min Li,Wanxiang Che:
  What Factors Affect Multi-Modal In-Context Learning? An In-Depth Exploration.CoRRabs/2410.20482 (2024)
• 
  [i8]
  Zihui Cheng,Qiguang Chen,Jin Zhang,Hao Fei,Xiaocheng Feng,Wanxiang Che,Min Li,Libo Qin:
  CoMT: A Novel Benchmark for Chain of Multi-modal Thought on Large Vision-Language Models.CoRRabs/2412.12932 (2024)
• 2023
• 
  [j146]
  Siqi Chen,Xuhua Yan,Ruiqing Zheng,Min Li:
  Bubble: a fast single-cell RNA-seq imputation using an autoencoder constrained by bulk RNA-seq data.Briefings Bioinform.24(1) (2023)
• 
  [j145]
  Min Li,Baoying Zhao,Rui Yin,Chengqian Lu,Fei Guo,Min Zeng:
  GraphLncLoc: long non-coding RNA subcellular localization prediction using graph convolutional networks based on sequence to graph transformation.Briefings Bioinform.24(1) (2023)
• 
  [j144]
  Kaili Wang,Renyi Zhou,Yifan Wu,Min Li:
  RLBind: a deep learning method to predict RNA-ligand binding sites.Briefings Bioinform.24(1) (2023)
• 
  [j143]
  Yongfan Ming,Wenkang Wang,Rui Yin,Min Zeng,Li Tang,Shizhe Tang,Min Li:
  A review of enzyme design in catalytic stability by artificial intelligence.Briefings Bioinform.24(3) (2023)
• 
  [j142]
  Meng Wang,Lukasz A. Kurgan,Min Li:
  A comprehensive assessment and comparison of tools for HLA class I peptide-binding prediction.Briefings Bioinform.24(3) (2023)
• 
  [j141]
  Ze-Ying Feng,Xue-Hong Wu,Jun-Long Ma,Min Li,Ge-Fei He,Dong-Sheng Cao,Guo-Ping Yang:
  DKADE: a novel framework based on deep learning and knowledge graph for identifying adverse drug events and related medications.Briefings Bioinform.24(4) (2023)
• 
  [j140]
  Yanping Zeng,Yongxin He,Ruiqing Zheng,Min Li:
  Inferring single-cell gene regulatory network by non-redundant mutual information.Briefings Bioinform.24(5) (2023)
• 
  [j139]
  Xuehong Wu,Junwen Duan,Yi Pan,Min Li:
  Medical Knowledge Graph: Data Sources, Construction, Reasoning, and Applications.Big Data Min. Anal.6(2):201-217 (2023)
• 
  [j138]
  Yiming Li,Min Zeng,Fuhao Zhang,Fang-Xiang Wu,Min Li:
  DeepCellEss: cell line-specific essential protein prediction with attention-based interpretable deep learning.Bioinform.39(1) (2023)
• 
  [j137]
  Xuhua Yan,Ruiqing Zheng,Fang-Xiang Wu,Min Li:
  CLAIRE: contrastive learning-based batch correction framework for better balance between batch mixing and preservation of cellular heterogeneity.Bioinform.39(3) (2023)
• 
  [j136]
  Xuhua Yan,Ruiqing Zheng,Jinmiao Chen,Min Li:
  scNCL: transferring labels from scRNA-seq to scATAC-seq data with neighborhood contrastive regularization.Bioinform.39(8) (2023)
• 
  [j135]
  Min Zeng,Yifan Wu,Yiming Li,Rui Yin,Chengqian Lu,Junwen Duan,Min Li:
  LncLocFormer: a Transformer-based deep learning model for multi-label lncRNA subcellular localization prediction by using localization-specific attention mechanism.Bioinform.39(12) (2023)
• 
  [j134]
  Chuqi Lei,Zhangli Lu,Meng Wang,Min Li:
  StackCPA: A stacking model for compound-protein binding affinity prediction based on pocket multi-scale features.Comput. Biol. Medicine164:107131 (2023)
• 
  [j133]
  Rui Yin,Zihan Luo,Pei Zhuang,Min Zeng,Min Li,Zhuoyi Lin,Chee Keong Kwoh:
  ViPal: A framework for virulence prediction of influenza viruses with prior viral knowledge using genomic sequences.J. Biomed. Informatics142:104388 (2023)
• 
  [j132]
  Kunying Niu,Yifan Wu,Yaohang Li,Min Li:
  Retrieve and rerank for automated ICD coding via Contrastive Learning.J. Biomed. Informatics143:104396 (2023)
• 
  [j131]
  Teng-Zhi Long,Shao-Hua Shi,Shao Liu,Ai-Ping Lu,Zhao-Qian Liu,Min Li,Tingjun Hou,Dong-Sheng Cao:
  Structural Analysis and Prediction of Hematotoxicity Using Deep Learning Approaches.J. Chem. Inf. Model.63(1):111-125 (2023)
• 
  [j130]
  Alessio Del Conte,Adel Bouhraoua,Mahta Mehdiabadi,Damiano Clementel,Alexander Miguel Monzon,Alex S. Holehouse,Daniel A. Griffith,Ryan J. Emenecker,Ashwini Patil,Ronesh Sharma,Tatsuhiko Tsunoda,Alok Sharma,Yi Jun Tang,Bin Liu,Claudio Mirabello,Björn Wallner,Burkhard Rost,Dagmar Ilzhöfer,Maria Littmann,Michael Heinzinger,Lea I M. Krautheimer,Michael Bernhofer,Liam J. McGuffin,Isabelle Callebaut,Tristan Bitard Feildel,Jian Liu,Jianlin Cheng,Zhiye Guo,Jinbo Xu,Sheng Wang,Nawar Malhis,Jörg Gsponer,Chol-Song Kim,Kun-Sop Han,Myong-Chol Ma,Lukasz A. Kurgan,Sina Ghadermarzi,Akila Katuwawala,Bi Zhao,Zhenling Peng,Zhonghua Wu,Gang Hu,Kui Wang,Md. Tamjidul Hoque,Md Wasi Ul Kabir,Michele Vendruscolo,Pietro Sormanni,Min Li,Fuhao Zhang,Pengzhen Jia,Yida Wang,Michail Yu. Lobanov,Oxana V. Galzitskaya,Wim F. Vranken,Adrián Díaz,Thomas Litfin,Yaoqi Zhou,Jack Hanson,Kuldip K. Paliwal,Zsuzsanna Dosztányi,Gábor Erdös,Silvio C. E. Tosatto,Damiano Piovesan:
  CAID prediction portal: a comprehensive service for predicting intrinsic disorder and binding regions in proteins.Nucleic Acids Res.51(W1):62-69 (2023)
• 
  [j129]
  Min Li,Wenbo Shi,Fuhao Zhang,Min Zeng,Yaohang Li:
  A Deep Learning Framework for Predicting Protein Functions With Co-Occurrence of GO Terms.IEEE ACM Trans. Comput. Biol. Bioinform.20(2):833-842 (2023)
• 
  [j128]
  Zhipeng Cai,Min Li,Pavel Skums,Yanjie Wei:
  Guest Editors' Introduction to the Special Section on Bioinformatics Research and Applications.IEEE ACM Trans. Comput. Biol. Bioinform.20(6):3329-3331 (2023)
• 
  [j127]
  Jianxin Wang,Min Li,Edwin Wang,Jing Tang,Bin Hu:
  The Impact of Computational Drug Discovery on Society.IEEE Trans. Comput. Soc. Syst.10(5):2148-2159 (2023)
• 
  [j126]
  Wenkang Wang,Xiangmao Meng,Ju Xiang,Yunyan Shuai,Hayat Dino Bedru,Min Li:
  CACO: A Core-Attachment Method With Cross-Species Functional Ortholog Information to Detect Human Protein Complexes.IEEE J. Biomed. Health Informatics27(9):4569-4578 (2023)
• 
  [j125]
  Kaili Wang,Min Li:
  Fusion-Based Deep Learning Architecture for Detecting Drug-Target Binding Affinity Using Target and Drug Sequence and Structure.IEEE J. Biomed. Health Informatics27(12):6112-6120 (2023)
• 
  [c71]
  Yuyan Shuai,Wenkang Wang,Yiming Li,Min Zeng,Min Li:
  Protein function prediction using graph neural network with multi-type biological knowledge.BIBM2023:30-35
• 
  [c70]
  Jin A,Ju Xiang,Min Li:
  DyNRW: Time-Series Dynamical Networks for Identifying HCC-Related Genes.BIBM2023:147-152
• 
  [c69]
  Ruiqing Zheng,Yanping Zeng,Weixing Zeng,Min Li:
  A flexible gene regulatory network reconstruction method based on autoencoder and graph attention network.BIBM2023:215-221
• 
  [c68]
  Libo Qin,Wenbo Pan,Qiguang Chen,Lizi Liao,Zhou Yu,Yue Zhang,Wanxiang Che,Min Li:
  End-to-end Task-oriented Dialogue: A Survey of Tasks, Methods, and Future Directions.EMNLP2023:5925-5941
• 
  [c67]
  Yifan Wu,Shichao Kan,Min Zeng,Min Li:
  Singularformer: Learning to Decompose Self-Attention to Linearize the Complexity of Transformer.IJCAI2023:4433-4441
• 
  [i7]
  Libo Qin,Wenbo Pan,Qiguang Chen,Lizi Liao,Zhou Yu,Yue Zhang,Wanxiang Che,Min Li:
  End-to-end Task-oriented Dialogue: A Survey of Tasks, Methods, and Future Directions.CoRRabs/2311.09008 (2023)
• 
  [i6]
  Zhangli Lu,Chuqi Lei,Kaili Wang,Libo Qin,Jing Tang,Min Li:
  DTIAM: A unified framework for predicting drug-target interactions, binding affinities and activation/inhibition mechanisms.CoRRabs/2312.15252 (2023)
• 2022
• 
  [j124]
  Min Zeng,Yifan Wu,Chengqian Lu,Fuhao Zhang,Fang-Xiang Wu,Min Li:
  DeepLncLoc: a deep learning framework for long non-coding RNA subcellular localization prediction based on subsequence embedding.Briefings Bioinform.23(1) (2022)
• 
  [j123]
  Fuhao Zhang,Bi Zhao,Wenbo Shi,Min Li,Lukasz A. Kurgan:
  DeepDISOBind: accurate prediction of RNA-, DNA- and protein-binding intrinsically disordered residues with deep multi-task learning.Briefings Bioinform.23(1) (2022)
• 
  [j122]
  Ju Xiang,Jiashuai Zhang,Yichao Zhao,Fang-Xiang Wu,Min Li:
  Biomedical data, computational methods and tools for evaluating disease-disease associations.Briefings Bioinform.23(2) (2022)
• 
  [j121]
  Ju Xiang,Xiangmao Meng,Yichao Zhao,Fang-Xiang Wu,Min Li:
  HyMM: hybrid method for disease-gene prediction by integrating multiscale module structure.Briefings Bioinform.23(3) (2022)
• 
  [j120]
  Xuhua Yan,Ruiqing Zheng,Min Li:
  GLOBE: a contrastive learning-based framework for integrating single-cell transcriptome datasets.Briefings Bioinform.23(5) (2022)
• 
  [j119]
  Rui Yin,Xianghe Zhu,Min Zeng,Pengfei Wu,Min Li,Chee Keong Kwoh:
  A framework for predicting variable-length epitopes of human-adapted viruses using machine learning methods.Briefings Bioinform.23(5) (2022)
• 
  [j118]
  Min Li,Zhangli Lu,Yifan Wu,Yaohang Li:
  BACPI: a bi-directional attention neural network for compound-protein interaction and binding affinity prediction.Bioinform.38(7):1995-2002 (2022)
• 
  [j117]
  Xingyi Li,Min Li,Ju Xiang,Zhelin Zhao,Xuequn Shang:
  SEPA: signaling entropy-based algorithm to evaluate personalized pathway activation for survival analysis on pan-cancer data.Bioinform.38(9):2536-2543 (2022)
• 
  [j116]
  Yifan Wu,Min Gao,Min Zeng,Jie Zhang,Min Li:
  BridgeDPI: a novel Graph Neural Network for predicting drug-protein interactions.Bioinform.38(9):2571-2578 (2022)
• 
  [j115]
  Fang-Xiang Wu,Min Li,Lukasz A. Kurgan,Luis Rueda:
  Guest editorial: Deep neural networks for precision medicine.Neurocomputing469:330-331 (2022)
• 
  [j114]
  Yifan Wu,Min Zeng,Zhihui Fei,Ying Yu,Fang-Xiang Wu,Min Li:
  KAICD: A knowledge attention-based deep learning framework for automatic ICD coding.Neurocomputing469:376-383 (2022)
• 
  [j113]
  Li Tang,Zhizhou Zhong,Yisheng Lin,Yifei Yang,Jun Wang,James F. Martin,Min Li:
  EPIXplorer: A web server for prediction, analysis and visualization of enhancer-promoter interactions.Nucleic Acids Res.50(W1):290-297 (2022)
• 
  [j112]
  Zhipeng Cai,Min Li,Pavel Skums:
  Guest Editors' Introduction to the Special Section on Bioinformatics Research and Applications.IEEE ACM Trans. Comput. Biol. Bioinform.19(1):166-167 (2022)
• 
  [j111]
  Haonan Feng,Ruiqing Zheng,Jianxin Wang,Fang-Xiang Wu,Min Li:
  NIMCE: A Gene Regulatory Network Inference Approach Based on Multi Time Delays Causal Entropy.IEEE ACM Trans. Comput. Biol. Bioinform.19(2):1042-1049 (2022)
• 
  [j110]
  Xiangmao Meng,Ju Xiang,Ruiqing Zheng,Fang-Xiang Wu,Min Li:
  DPCMNE: Detecting Protein Complexes From Protein-Protein Interaction Networks Via Multi-Level Network Embedding.IEEE ACM Trans. Comput. Biol. Bioinform.19(3):1592-1602 (2022)
• 
  [j109]
  Senbiao Fang,Ruoqian Zheng,Chuqi Lei,Jianxin Wang,Renyi Zhou,Min Li:
  In Silico Prediction of New Mutations That Can Improve the Binding Abilities Between 2019-nCoV Coronavirus and Human ACE2.IEEE ACM Trans. Comput. Biol. Bioinform.19(3):1694-1702 (2022)
• 
  [j108]
  Xingyi Li,Ju Xiang,Fang-Xiang Wu,Min Li:
  A Dual Ranking Algorithm Based on the Multiplex Network for Heterogeneous Complex Disease Analysis.IEEE ACM Trans. Comput. Biol. Bioinform.19(4):1993-2002 (2022)
• 
  [j107]
  Yiming Li,Min Zeng,Yifan Wu,Yaohang Li,Min Li:
  Accurate Prediction of Human Essential Proteins Using Ensemble Deep Learning.IEEE ACM Trans. Comput. Biol. Bioinform.19(6):3263-3271 (2022)
• 
  [j106]
  Yifan Wu,Min Zeng,Ying Yu,Yaohang Li,Min Li:
  A Pseudo Label-Wise Attention Network for Automatic ICD Coding.IEEE J. Biomed. Health Informatics26(10):5201-5212 (2022)
• 
  [j105]
  Xinliang Sun,Bei Wang,Jie Zhang,Min Li:
  Partner-Specific Drug Repositioning Approach Based on Graph Convolutional Network.IEEE J. Biomed. Health Informatics26(11):5757-5765 (2022)
• 
  [j104]
  Xiangmao Meng,Wenkai Li,Ju Xiang,Hayat Dino Bedru,Wenkang Wang,Fang-Xiang Wu,Min Li:
  Temporal-Spatial Analysis of the Essentiality of Hub Proteins in Protein-Protein Interaction Networks.IEEE Trans. Netw. Sci. Eng.9(5):3504-3514 (2022)
• 
  [c66]
  Siqi Chen,Ruiqing Zheng,Luyi Tian,Fang-Xiang Wu,Min Li:
  BayesImpute: a Bayesian imputation method for single-cell RNA-seq data.BIBM2022:194-199
• 
  [c65]
  Ziwei Xu,Ruiqing Zheng,Yuxuan Chen,Edwin Wang,Min Li:
  A single cell potency inference method based on the local cell-specific network entropy.BIBM2022:247-252
• 
  [c64]
  Norah Saeed Awn,Yiming Li,Baoying Zhao,Min Zeng,Min Li:
  LDAGSO: Predicting 1ncRNA-Disease Associations from Graph Sequences and Disease Ontology via Deep Learning techniques.BIBM2022:398-403
• 
  [c63]
  Xuehong Wu,Yifan Wu,Min Li:
  MERAS: A method for entity recognition, alignment, and structuration from Chinese Electronic Medical Records.BIBM2022:1755-1758
• 
  [c62]
  Shichao Kan,Yixiong Liang,Min Li,Yigang Cen,Jianxin Wang,Zhihai He:
  Coded Residual Transform for Generalizable Deep Metric Learning.NeurIPS2022
• 
  [i5]
  Huimin Zhu,Renyi Zhou,Jing Tang,Min Li:
  PGMG: A Pharmacophore-Guided Deep Learning Approach for Bioactive Molecular Generation.CoRRabs/2207.00821 (2022)
• 
  [i4]
  Meng Wang,Chuqi Lei,Jianxin Wang,Yaohang Li,Min Li:
  TripHLApan: predicting HLA molecules binding peptides based on triple coding matrix and transfer learning.CoRRabs/2208.04314 (2022)
• 
  [i3]
  Shichao Kan,Yixiong Liang,Min Li,Yigang Cen,Jianxin Wang,Zhihai He:
  Coded Residual Transform for Generalizable Deep Metric Learning.CoRRabs/2210.04180 (2022)
• 2021
• 
  [j103]
  Senbiao Fang,Ruoqian Zheng,Chuqi Lei,Jianxin Wang,Ruiqing Zheng,Min Li:
  Key residues influencing binding affinities of 2019-nCoV with ACE2 in different species.Briefings Bioinform.22(2):963-975 (2021)
• 
  [j102]
  Huimin Luo,Min Li,Mengyun Yang,Fang-Xiang Wu,Yaohang Li,Jianxin Wang:
  Biomedical data and computational models for drug repositioning: a comprehensive review.Briefings Bioinform.22(2):1604-1619 (2021)
• 
  [j101]
  Kaili Wang,Renyi Zhou,Yaohang Li,Min Li:
  DeepDTAF: a deep learning method to predict protein-ligand binding affinity.Briefings Bioinform.22(5) (2021)
• 
  [j100]
  Ju Xiang,Jiashuai Zhang,Ruiqing Zheng,Xingyi Li,Min Li:
  NIDM: network impulsive dynamics on multiplex biological network for disease-gene prediction.Briefings Bioinform.22(5) (2021)
• 
  [j99]
  Chengqian Lu,Min Zeng,Fang-Xiang Wu,Min Li,Jianxin Wang:
  Improving circRNA-disease association prediction by sequence and ontology representations with convolutional and recurrent neural networks.Bioinform.36(24):5656-5664 (2021)
• 
  [j98]
  Xiangmao Meng,Wenkai Li,Xiaoqing Peng,Yaohang Li,Min Li:
  Protein interaction networks: centrality, modularity, dynamics, and applications.Frontiers Comput. Sci.15(1) (2021)
• 
  [j97]
  Zhenlan Liang,Min Li,Ruiqing Zheng,Yu Tian,Xuhua Yan,Jin Chen,Fang-Xiang Wu,Jianxin Wang:
  SSRE: Cell Type Detection Based on Sparse Subspace Representation and Similarity Enhancement.Genom. Proteom. Bioinform.19(2):282-291 (2021)
• 
  [j96]
  Shehu Mohammed Yusuf,Fuhao Zhang,Min Zeng,Min Li:
  DeepPPF: A deep learning framework for predicting protein family.Neurocomputing428:19-29 (2021)
• 
  [j95]
  Nian Wang,Min Zeng,Yiming Li,Fang-Xiang Wu,Min Li:
  Essential Protein Prediction Based on node2vec and XGBoost.J. Comput. Biol.28(7):687-700 (2021)
• 
  [j94]
  Min Zeng,Min Li,Zhihui Fei,Fang-Xiang Wu,Yaohang Li,Yi Pan,Jianxin Wang:
  A Deep Learning Framework for Identifying Essential Proteins by Integrating Multiple Types of Biological Information.IEEE ACM Trans. Comput. Biol. Bioinform.18(1):296-305 (2021)
• 
  [j93]
  Ruiqing Zheng,Min Li,Xiang Chen,Siyu Zhao,Fang-Xiang Wu,Yi Pan,Jianxin Wang:
  An Ensemble Method to Reconstruct Gene Regulatory Networks Based on Multivariate Adaptive Regression Splines.IEEE ACM Trans. Comput. Biol. Bioinform.18(1):347-354 (2021)
• 
  [j92]
  Huimin Luo,Jianxin Wang,Cheng Yan,Min Li,Fang-Xiang Wu,Yi Pan:
  A Novel Drug Repositioning Approach Based on Collaborative Metric Learning.IEEE ACM Trans. Comput. Biol. Bioinform.18(2):463-471 (2021)
• 
  [j91]
  Min Li,Yake Wang,Ruiqing Zheng,Xinghua Shi,Yaohang Li,Fang-Xiang Wu,Jianxin Wang:
  DeepDSC: A Deep Learning Method to Predict Drug Sensitivity of Cancer Cell Lines.IEEE ACM Trans. Comput. Biol. Bioinform.18(2):575-582 (2021)
• 
  [j90]
  Zhen Zhang,Junwei Luo,Juan Shang,Min Li,Fang-Xiang Wu,Yi Pan,Jianxin Wang:
  Deletion Detection Method Using the Distribution of Insert Size and a Precise Alignment Strategy.IEEE ACM Trans. Comput. Biol. Bioinform.18(3):1070-1081 (2021)
• 
  [j89]
  Xingyu Liao,Min Li,Junwei Luo,You Zou,Fang-Xiang Wu,Yi Pan,Feng Luo,Jianxin Wang:
  EPGA-SC : A Framework for de novo Assembly of Single-Cell Sequencing Reads.IEEE ACM Trans. Comput. Biol. Bioinform.18(4):1492-1503 (2021)
• 
  [j88]
  Fuhao Zhang,Hong Song,Min Zeng,Fang-Xiang Wu,Yaohang Li,Yi Pan,Min Li:
  A Deep Learning Framework for Gene Ontology Annotations With Sequence- and Network-Based Information.IEEE ACM Trans. Comput. Biol. Bioinform.18(6):2208-2217 (2021)
• 
  [j87]
  Min Zeng,Chengqian Lu,Zhihui Fei,Fang-Xiang Wu,Yaohang Li,Jianxin Wang,Min Li:
  DMFLDA: A Deep Learning Framework for Predicting lncRNA-Disease Associations.IEEE ACM Trans. Comput. Biol. Bioinform.18(6):2353-2363 (2021)
• 
  [j86]
  Xingyi Li,Ju Xiang,Jianxin Wang,Jinyan Li,Fang-Xiang Wu,Min Li:
  FUNMarker: Fusion Network-Based Method to Identify Prognostic and Heterogeneous Breast Cancer Biomarkers.IEEE ACM Trans. Comput. Biol. Bioinform.18(6):2483-2491 (2021)
• 
  [j85]
  Chengqian Lu,Min Zeng,Fuhao Zhang,Fang-Xiang Wu,Min Li,Jianxin Wang:
  Deep Matrix Factorization Improves Prediction of Human CircRNA-Disease Associations.IEEE J. Biomed. Health Informatics25(3):891-899 (2021)
• 
  [c61]
  Min Zeng,Nian Wang,Yifan Wu,Yiming Li,Fang-Xiang Wu,Min Li:
  Improving human essential protein prediction using only protein sequences via ensemble learning.BIBM2021:98-103
• 
  [c60]
  Yanping Zeng,Xuhua Yan,Zhenlan Liang,Ruiqing Zheng,Min Li:
  MKG: a mutual information based method to infer single cell gene regulatory network.BIBM2021:223-228
• 
  [c59]
  Zhenlan Liang,Ruiqing Zheng,Siqi Chen,Xuhua Yan,Min Li:
  DeepCI: a deep learning based clustering method for single cell RNA-seq data.BIBM2021:302-307
• 
  [c58]
  Xuehong Wu,Junwen Duan,Jianhua Li,Min Li:
  nPTAS: A Novel Platform for Text Annotation and Service.BIBM2021:544-549
• 
  [c57]
  Sajida Raz Bhutto,Yifan Wu,Ying Yu,Akhtar Hussain Jalbani,Min Li:
  A Hybrid Pooling Based Deep Learning Framework For Automated ICD Coding.BIBM2021:823-828
• 
  [c56]
  Wenkang Wang,Xiangmao Meng,Ju Xiang,Min Li:
  Overlapping Protein Complexes Detection Based on Multi-level Topological Similarities.ISBRA2021:215-226
• 
  [e4]
  Yanjie Wei,Min Li,Pavel Skums,Zhipeng Cai:
  Bioinformatics Research and Applications - 17th International Symposium, ISBRA 2021, Shenzhen, China, November 26-28, 2021, Proceedings.Lecture Notes in Computer Science 13064,Springer2021, ISBN978-3-030-91414-1[contents]
• 
  [i2]
  Yifan Wu,Min Gao,Min Zeng,Feiyang Chen,Min Li,Jie Zhang:
  BridgeDPI: A Novel Graph Neural Network for Predicting Drug-Protein Interactions.CoRRabs/2101.12547 (2021)
• 
  [i1]
  Yifan Wu,Min Zeng,Ying Yu,Min Li:
  A Pseudo Label-wise Attention Network for Automatic ICD Coding.CoRRabs/2106.06822 (2021)
• 2020
• 
  [j84]
  Xingyi Li,Wenkai Li,Min Zeng,Ruiqing Zheng,Min Li:
  Network-based methods for predicting essential genes or proteins: a survey.Briefings Bioinform.21(2):566-583 (2020)
• 
  [j83]
  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 Curation2020 (2020)
• 
  [j82]
  Min Zeng,Fuhao Zhang,Fang-Xiang Wu,Yaohang Li,Jianxin Wang,Min Li:
  Protein-protein interaction site prediction through combining local and global features with deep neural networks.Bioinform.36(4):1114-1120 (2020)
• 
  [j81]
  Fuhao Zhang,Wenbo Shi,Jian Zhang,Min Zeng,Min Li,Lukasz A. Kurgan:
  PROBselect: accurate prediction of protein-binding residues from proteins sequences via dynamic predictor selection.Bioinform.36(Supplement-2):i735-i744 (2020)
• 
  [j80]
  Wessam Elhefnawy,Min Li,Jianxin Wang,Yaohang Li:
  DeepFrag-k: a fragment-based deep learning approach for protein fold recognition.BMC Bioinform.21-S(6):203 (2020)
• 
  [j79]
  Xinyu Hu,Li Tang,Linconghua Wang,Fang-Xiang Wu,Min Li:
  MADA: a web service for analysing DNA methylation array data.BMC Bioinform.21-S(6):403 (2020)
• 
  [j78]
  Renyi Zhou,Zhangli Lu,Huimin Luo,Ju Xiang,Min Zeng,Min Li:
  NEDD: a network embedding based method for predicting drug-disease associations.BMC Bioinform.21-S(13):387 (2020)
• 
  [j77]
  Xingyu Liao,Min Li,Junwei Luo,You Zou,Fang-Xiang Wu,Yi Pan,Feng Luo,Jianxin Wang:
  Improving de novo Assembly Based on Read Classification.IEEE ACM Trans. Comput. Biol. Bioinform.17(1):177-188 (2020)
• 
  [j76]
  Xingyu Liao,Min Li,You Zou,Fang-Xiang Wu,Yi Pan,Jianxin Wang:
  An Efficient Trimming Algorithm based on Multi-Feature Fusion Scoring Model for NGS Data.IEEE ACM Trans. Comput. Biol. Bioinform.17(3):728-738 (2020)
• 
  [j75]
  Min Li,Xiangmao Meng,Ruiqing Zheng,Fang-Xiang Wu,Yaohang Li,Yi Pan,Jianxin Wang:
  Identification of Protein Complexes by Using a Spatial and Temporal Active Protein Interaction Network.IEEE ACM Trans. Comput. Biol. Bioinform.17(3):817-827 (2020)
• 
  [j74]
  Binbin Wu,Min Li,Xingyu Liao,Junwei Luo,Fang-Xiang Wu,Yi Pan,Jianxin Wang:
  MEC: Misassembly Error Correction in Contigs based on Distribution of Paired-End Reads and Statistics of GC-contents.IEEE ACM Trans. Comput. Biol. Bioinform.17(3):847-857 (2020)
• 
  [j73]
  Junwei Luo,Jianxin Wang,Juan Shang,Huimin Luo,Min Li,Fang-Xiang Wu,Yi Pan:
  GapReduce: A Gap Filling Algorithm Based on Partitioned Read Sets.IEEE ACM Trans. Comput. Biol. Bioinform.17(3):877-886 (2020)
• 
  [j72]
  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)
• 
  [j71]
  Gaoshi Li,Min Li,Jianxin Wang,Yaohang Li,Yi Pan:
  United Neighborhood Closeness Centrality and Orthology for Predicting Essential Proteins.IEEE ACM Trans. Comput. Biol. Bioinform.17(4):1451-1458 (2020)
• 
  [j70]
  Chengqian Lu,Mengyun Yang,Min Li,Yaohang Li,Fang-Xiang Wu,Jianxin Wang:
  Predicting Human lncRNA-Disease Associations Based on Geometric Matrix Completion.IEEE J. Biomed. Health Informatics24(8):2420-2429 (2020)
• 
  [j69]
  Hui Jiang,Mengyun Yang,Xiang Chen,Min Li,Yaohang Li,Jianxin Wang:
  miRTMC: A miRNA Target Prediction Method Based on Matrix Completion Algorithm.IEEE J. Biomed. Health Informatics24(12):3630-3641 (2020)
• 
  [c55]
  Ruiqing Zheng,Zhenlan Liang,Xiangmao Meng,Yu Tian,Min Li:
  A robust single cell clustering method based on subspace learning and partial imputation.BIBM2020:140-145
• 
  [c54]
  Xingyi Li,Ju Xiang,Fang-Xiang Wu,Min Li:
  A topological AUC-based biomarker ensemble method for the complex disease analysis.BIBM2020:281-286
• 
  [c53]
  Hao Gao,Min Li,Fang-Xiang Wu:
  SPOC: Identification of Drug Targets in Biological Networks via Set Preference Output Control.ISBRA2020:26-37
• 
  [c52]
  Nian Wang,Min Zeng,Jiashuai Zhang,Yiming Li,Min Li:
  Ess-NEXG: Predict Essential Proteins by Constructing a Weighted Protein Interaction Network Based on Node Embedding and XGBoost.ISBRA2020:95-104

• 2019
• 
  [j68]
  Min Li,Hao Gao,Jianxin Wang,Fang-Xiang Wu:
  Control principles for complex biological networks.Briefings Bioinform.20(6):2253-2266 (2019)
• 
  [j67]
  Ying Yu,Min Li,Liangliang Liu,Yaohang Li,Jianxin Wang:
  Clinical big data and deep learning: Applications, challenges, and future outlooks.Big Data Min. Anal.2(4):288-305 (2019)
• 
  [j66]
  Min Li,Li Tang,Fang-Xiang Wu,Yi Pan,Jianxin Wang:
  SCOP: a novel scaffolding algorithm based on contig classification and optimization.Bioinform.35(7):1142-1150 (2019)
• 
  [j65]
  Ruiqing Zheng,Min Li,Xiang Chen,Fang-Xiang Wu,Yi Pan,Jianxin Wang:
  BiXGBoost: a scalable, flexible boosting-based method for reconstructing gene regulatory networks.Bioinform.35(11):1893-1900 (2019)
• 
  [j64]
  Ruiqing Zheng,Min Li,Zhenlan Liang,Fang-Xiang Wu,Yi Pan,Jianxin Wang:
  SinNLRR: a robust subspace clustering method for cell type detection by non-negative and low-rank representation.Bioinform.35(19):3642-3650 (2019)
• 
  [j63]
  Min Li,Li Tang,Fang-Xiang Wu,Yi Pan,Jianxin Wang:
  CSA: a web service for the complete process of ChIP-Seq analysis.BMC Bioinform.20-S(15):515 (2019)
• 
  [j62]
  Min Zeng,Min Li,Fang-Xiang Wu,Yaohang Li,Yi Pan:
  DeepEP: a deep learning framework for identifying essential proteins.BMC Bioinform.20-S(16):506:1-506:10 (2019)
• 
  [j61]
  Fang-Xiang Wu,Min Li:
  Deep learning for biological/clinical data.Neurocomputing324:1-2 (2019)
• 
  [j60]
  Min Zeng,Min Li,Zhihui Fei,Ying Yu,Yi Pan,Jianxin Wang:
  Automatic ICD-9 coding via deep transfer learning.Neurocomputing324:43-50 (2019)
• 
  [j59]
  Ying Yu,Min Li,Liangliang Liu,Zhihui Fei,Fang-Xiang Wu,Jianxin Wang:
  Automatic ICD code assignment of Chinese clinical notes based on multilayer attention BiRNN.J. Biomed. Informatics91 (2019)
• 
  [j58]
  Wessam Elhefnawy,Min Li,Jianxin Wang,Yaohang Li:
  Decoding the Structural Keywords in Protein Structure Universe.J. Comput. Sci. Technol.34(1):3-15 (2019)
• 
  [j57]
  Lin Wu,Min Li,Jianxin Wang,Fang-Xiang Wu:
  Controllability and Its Applications to Biological Networks.J. Comput. Sci. Technol.34(1):16-34 (2019)
• 
  [j56]
  Min Li,Cai-Feng Luo:
  Correlation Analysis of Mental Health Status and Sleep Quality in Helicobacter pylori Positive Patients.J. Medical Imaging Health Informatics9(8):1600-1606 (2019)
• 
  [j55]
  Xingyu Liao,Min Li,You Zou,Fang-Xiang Wu,Yi Pan,Jianxin Wang:
  Current challenges and solutions of de novo assembly.Quant. Biol.7(2):90-109 (2019)
• 
  [j54]
  Min Li,Ruiqing Zheng,Yaohang Li,Fang-Xiang Wu,Jianxin Wang:
  MGT-SM: A Method for Constructing Cellular Signal Transduction Networks.IEEE ACM Trans. Comput. Biol. Bioinform.16(2):417-424 (2019)
• 
  [j53]
  Min Li,Li Tang,Zhongxiang Liao,Junwei Luo,Fang-Xiang Wu,Yi Pan,Jianxin Wang:
  A Novel Scaffolding Algorithm Based on Contig Error Correction and Path Extension.IEEE ACM Trans. Comput. Biol. Bioinform.16(3):764-773 (2019)
• 
  [j52]
  Min Li,Zhihui Fei,Min Zeng,Fang-Xiang Wu,Yaohang Li,Yi Pan,Jianxin Wang:
  Automated ICD-9 Coding via A Deep Learning Approach.IEEE ACM Trans. Comput. Biol. Bioinform.16(4):1193-1202 (2019)
• 
  [j51]
  Min Li,Peng Ni,Xiaopei Chen,Jianxin Wang,Fang-Xiang Wu,Yi Pan:
  Construction of Refined Protein Interaction Network for Predicting Essential Proteins.IEEE ACM Trans. Comput. Biol. Bioinform.16(4):1386-1397 (2019)
• 
  [j50]
  Huimin Luo,Jianxin Wang,Min Li,Junwei Luo,Peng Ni,Kaijie Zhao,Fang-Xiang Wu,Yi Pan:
  Computational Drug Repositioning with Random Walk on a Heterogeneous Network.IEEE ACM Trans. Comput. Biol. Bioinform.16(6):1890-1900 (2019)
• 
  [c51]
  Xiang Chen,Fang-Xiang Wu,Jin Chen,Min Li:
  DoRC: Discovery of rare cells from ultra-large scRNA-seq data.BIBM2019:111-116
• 
  [c50]
  Zhangli Lu,Yake Wang,Min Zeng,Min Li:
  HNEDTI: Prediction of drug-target interaction based on heterogeneous network embedding.BIBM2019:211-214
• 
  [c49]
  Xiangmao Meng,Xiaoqing Peng,Fang-Xiang Wu,Min Li:
  Detecting protein complex based on hierarchical compressing network embedding.BIBM2019:215-218
• 
  [c48]
  Min Zeng,Chengqian Lu,Fuhao Zhang,Zhangli Lu,Fang-Xiang Wu,Yaohang Li,Min Li:
  LncRNA-disease association prediction through combining linear and non-linear features with matrix factorization and deep learning techniques.BIBM2019:577-582
• 
  [c47]
  Xinyu Hu,Min Li,Linconghua Wang,Xingyi Li,Fang-Xiang Wu,Jianxin Wang:
  Classification of Schizophrenia by Iterative Random Forest Feature Selection Based on DNA Methylation Array Data.BIBM2019:807-811
• 
  [c46]
  Xingyi Li,Ju Xiang,Xinyu Hu,Fang-Xiang Wu,Min Li:
  DualRank: multiplex network-based dual ranking for heterogeneous complex disease analysis.BIBM2019:812-817
• 
  [c45]
  Ying Yu,Min Li,Liangliang Liu,Fang-Xiang Wu,Jianxin Wang:
  Tentative diagnosis prediction via deep understanding of patient narratives.BIBM2019:1000-1003
• 
  [c44]
  Xingyi Li,Ju Xiang,Jianxin Wang,Fang-Xiang Wu,Min Li:
  Identification of Prognostic and Heterogeneous Breast Cancer Biomarkers Based on Fusion Network and Multiple Scoring Strategies.ICIC (2)2019:529-534
• 
  [e3]
  Zhipeng Cai,Pavel Skums,Min Li:
  Bioinformatics Research and Applications - 15th International Symposium, ISBRA 2019, Barcelona, Spain, June 3-6, 2019, Proceedings.Lecture Notes in Computer Science 11490,Springer2019, ISBN978-3-030-20241-5[contents]
• 2018
• 
  [j49]
  Jin Liu,Yi Pan,Min Li,Ziyue Chen,Lu Tang,Chengqian Lu,Jianxin Wang:
  Applications of deep learning to MRI images: A survey.Big Data Min. Anal.1(1):1-18 (2018)
• 
  [j48]
  Andy Ramlatchan,Mengyun Yang,Quan Liu,Min Li,Jianxin Wang,Yaohang Li:
  A survey of matrix completion methods for recommendation systems.Big Data Min. Anal.1(4):308-323 (2018)
• 
  [j47]
  Lin Wu,Min Li,Jianxin Wang,Fang-Xiang Wu:
  CytoCtrlAnalyser: a Cytoscape app for biomolecular network controllability analysis.Bioinform.34(8):1428-1430 (2018)
• 
  [j46]
  Min Li,Jie Yang,Fang-Xiang Wu,Yi Pan,Jianxin Wang:
  DyNetViewer: a Cytoscape app for dynamic network construction, analysis and visualization.Bioinform.34(9):1597-1599 (2018)
• 
  [j45]
  Huimin Luo,Min Li,Shaokai Wang,Quan Liu,Yaohang Li,Jianxin Wang:
  Computational drug repositioning using low-rank matrix approximation and randomized algorithms.Bioinform.34(11):1904-1912 (2018)
• 
  [j44]
  Chengqian Lu,Mengyun Yang,Feng Luo,Fang-Xiang Wu,Min Li,Yi Pan,Yaohang Li,Jianxin Wang:
  Prediction of lncRNA-disease associations based on inductive matrix completion.Bioinform.34(19):3357-3364 (2018)
• 
  [j43]
  Fang-Xiang Wu,Jianxin Wang,Min Li,Haiying Wang:
  Biomolecular Networks for Complex Diseases.Complex.2018:4210160:1-4210160:3 (2018)
• 
  [j42]
  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)
• 
  [j41]
  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)
• 
  [c43]
  Min Zeng,Min Li,Zhihui Fei,Fang-Xiang Wu,Yaohang Li,Yi Pan:
  A Deep Learning Framework for Identifying Essential Proteins Based on Protein-Protein Interaction Network and Gene Expression Data.BIBM2018:583-588
• 
  [c42]
  Donglin Guo,Min Li,Ying Yu,Yaohang Li,Guihua Duan,Fang-Xiang Wu,Jianxin Wang:
  Disease Inference with Symptom Extraction and Bidirectional Recurrent Neural Network.BIBM2018:864-868
• 
  [c41]
  Yake Wang,Min Li,Ruiqing Zheng,Xinghua Shi,Yaohang Li,Fang-Xiang Wu,Jianxin Wang:
  Using Deep Neural Network to Predict Drug Sensitivity of Cancer Cell Lines.ICIC (2)2018:223-226
• 
  [c40]
  Siyu Zhao,Ruiqing Zheng,Xiang Chen,Yaohang Li,Fang-Xiang Wu,Min Li:
  PBMarsNet: A Multivariate Adaptive Regression Splines Based Method to Reconstruct Gene Regulatory Networks.ISBRA2018:38-48
• 
  [c39]
  Zhen Zhang,Jianxin Wang,Junwei Luo,Juan Shang,Min Li,Fang-Xiang Wu,Yi Pan:
  Sprites2: Detection of Deletions Based on an Accurate Alignment Strategy.ISBRA2018:139-150
• 
  [c38]
  Liangliang Liu,Shuai Yang,Li Meng,Min Li,Jianxin Wang:
  Multi-scale Deep Convolutional Neural Network for Stroke Lesions Segmentation on CT Images.BrainLes@MICCAI (1)2018:283-291
• 2017
• 
  [j40]
  Junwei Luo,Jianxin Wang,Zhen Zhang,Min Li,Fang-Xiang Wu:
  BOSS: a novel scaffolding algorithm based on an optimized scaffold graph.Bioinform.33(2):169-176 (2017)
• 
  [j39]
  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)
• 
  [j38]
  Min Li,Ping Huang,Xiaodong Yan,Jianxin Wang,Yi Pan,Fang-Xiang Wu:
  VAliBS: a visual aligner for bisulfite sequences.BMC Bioinform.18(S-12):91-98 (2017)
• 
  [j37]
  Min Li,Binbin Wu,Xiaodong Yan,Junwei Luo,Yi Pan,Fang-Xiang Wu,Jianxin Wang:
  PECC: Correcting contigs based on paired-end read distribution.Comput. Biol. Chem.69:178-184 (2017)
• 
  [j36]
  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)
• 
  [j35]
  Wei Peng,Min Li,Lu Chen,Lusheng Wang:
  Predicting Protein Functions by Using Unbalanced Random Walk Algorithm on Three Biological Networks.IEEE ACM Trans. Comput. Biol. Bioinform.14(2):360-369 (2017)
• 
  [j34]
  Min Li,Yu Lu,Zhibei Niu,Fang-Xiang Wu:
  United Complex Centrality for Identification of Essential Proteins from PPI Networks.IEEE ACM Trans. Comput. Biol. Bioinform.14(2):370-380 (2017)
• 
  [j33]
  Min Li,Zhongxiang Liao,Yiming He,Jianxin Wang,Junwei Luo,Yi Pan:
  ISEA: Iterative Seed-Extension Algorithm for De Novo Assembly Using Paired-End Information and Insert Size Distribution.IEEE ACM Trans. Comput. Biol. Bioinform.14(4):916-925 (2017)
• 
  [j32]
  Jiancheng Zhong,Jianxin Wang,Xiaojun Ding,Zhen Zhang,Min Li,Fang-Xiang Wu,Yi Pan:
  Protein Inference from the Integration of Tandem MS Data and Interactome Networks.IEEE ACM Trans. Comput. Biol. Bioinform.14(6):1399-1409 (2017)
• 
  [c37]
  Binbin Wu,Jianxin Wang,Junwei Luo,Min Li,Fang-Xiang Wu,Yi Pan:
  MEC: Misassembly error correction in contigs using a combination of paired-end reads and GC-contents.BIBM2017:216-221
• 
  [c36]
  Liangliang Liu,Jianxin Wang,Min Li,Fang-Xiang Wu,Hong-Dong Li,Ying Yu,Zhihui Fei:
  An interpretable model for predicting side effects of analgesics for osteoarthritis.BIBM2017:861-864
• 
  [c35]
  Min Li,Li Tang,Zhongxiang Liao,Junwei Luo,Fang-Xiang Wu,Yi Pan,Jianxin Wang:
  LSLS: A Novel Scaffolding Method Based on Path Extension.ICIC (2)2017:428-438
• 
  [c34]
  Peng Ni,Min Li,Ping Zhong,Guihua Duan,Jianxin Wang,Yaohang Li,Fang-Xiang Wu:
  Relating Diseases Based on Disease Module Theory.ISBRA2017:24-33
• 
  [c33]
  Wessam Elhefnawy,Min Li,Jianxin Wang,Yaohang Li:
  Construction of Protein Backbone Fragments Libraries on Large Protein Sets Using a Randomized Spectral Clustering Algorithm.ISBRA2017:108-119
• 
  [e2]
  Beiji Zou,Min Li,Hongzhi Wang,Xianhua Song,Wei Xie,Zeguang Lu:
  Data Science - Third International Conference of Pioneering Computer Scientists, Engineers and Educators, ICPCSEE 2017, Changsha, China, September 22-24, 2017, Proceedings, Part I.Communications in Computer and Information Science 727,Springer2017, ISBN978-981-10-6384-8[contents]
• 
  [e1]
  Zhipeng Cai,Ovidiu Daescu,Min Li:
  Bioinformatics Research and Applications - 13th International Symposium, ISBRA 2017, Honolulu, HI, USA, May 29 - June 2, 2017, Proceedings.Lecture Notes in Computer Science 10330,Springer2017, ISBN978-3-319-59574-0[contents]
• 2016
• 
  [j31]
  Huimin Luo,Jianxin Wang,Min Li,Junwei Luo,Xiaoqing Peng,Fang-Xiang Wu,Yi Pan:
  Drug repositioning based on comprehensive similarity measures and Bi-Random walk algorithm.Bioinform.32(17):2664-2671 (2016)
• 
  [j30]
  Min Li,Yu Tang,Xuehong Wu,Jianxin Wang,Fang-Xiang Wu,Yi Pan:
  C-DEVA: Detection, evaluation, visualization and annotation of clusters from biological networks.Biosyst.150:78-86 (2016)
• 
  [j29]
  Gaoshi Li,Min Li,Jianxin Wang,Jingli Wu,Fang-Xiang Wu,Yi Pan:
  Predicting essential proteins based on subcellular localization, orthology and PPI networks.BMC Bioinform.17(S-8):279 (2016)
• 
  [j28]
  Ashraf Yaseen,Mais Nijim,Brandon Williams,Lei Qian,Min Li,Jianxin Wang,Yaohang Li:
  FLEXc: protein flexibility prediction using context-based statistics, predicted structural features, and sequence information.BMC Bioinform.17(S-8):281 (2016)
• 
  [j27]
  Wei Lan,Jianxin Wang,Min Li,Jin Liu,Yaohang Li,Fang-Xiang Wu,Yi Pan:
  Predicting drug-target interaction using positive-unlabeled learning.Neurocomputing206:50-57 (2016)
• 
  [j26]
  Sheng-You Huang,Min Li,Jianxin Wang,Yi Pan:
  HybridDock: A Hybrid Protein-Ligand Docking Protocol Integrating Protein- and Ligand-Based Approaches.J. Chem. Inf. Model.56(6):1078-1087 (2016)
• 
  [c32]
  Hao Ji,Seth H. Weinberg,Min Li,Jianxin Wang,Yaohang Li:
  An Apache Spark Implementation of Block Power Method for Computing Dominant Eigenvalues and Eigenvectors of Large-Scale Matrices.BDCloud-SocialCom-SustainCom2016:554-559
• 
  [c31]
  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.BIBM2016:27-32
• 
  [c30]
  Lin Wu,Lingkai Tang,Min Li,Jianxin Wang,Fang-Xiang Wu:
  The MSS of complex networks with centrality based preference and its application to biomolecular networks.BIBM2016:229-234
• 
  [c29]
  Xiangmao Meng,Min Li,Jianxin Wang,Fang-Xiang Wu,Yi Pan:
  Construction of the spatial and temporal active protein interaction network for identifying protein complexes.BIBM2016:631-636
• 
  [c28]
  Min Li,Xiaopei Chen,Peng Ni,Jianxin Wang,Yi Pan:
  Identifying Essential Proteins by Purifying Protein Interaction Networks.ISBRA2016:106-116
• 2015
• 
  [j25]
  Junwei Luo,Jianxin Wang,Zhen Zhang,Fang-Xiang Wu,Min Li,Yi Pan:
  EPGA:de novo assembly using the distributions of reads and insert size.Bioinform.31(6):825-833 (2015)
• 
  [j24]
  Junwei Luo,Jianxin Wang,Weilong Li,Zhen Zhang,Fang-Xiang Wu,Min Li,Yi Pan:
  EPGA2: memory-efficientde novo assembler.Bioinform.31(24):3988-3990 (2015)
• 
  [j23]
  Yu Tang,Min Li,Jianxin Wang,Yi Pan,Fang-Xiang Wu:
  CytoNCA: A cytoscape plugin for centrality analysis and evaluation of protein interaction networks.Biosyst.127:67-72 (2015)
• 
  [j22]
  Xiaoqing Peng,Jianxin Wang,Zhen Zhang,Qianghua Xiao,Min Li,Yi Pan:
  Re-alignment of the unmapped reads with base quality score.BMC Bioinform.16(S-5):S8 (2015)
• 
  [j21]
  Weijie Chen,Min Li,Xuehong Wu,Jianxin Wang:
  Identifying protein complexes based on the integration of PPI network and gene expression data.Int. J. Bioinform. Res. Appl.11(1):30-44 (2015)
• 
  [j20]
  Lu Chen,Yingjiao Cheng,Min Li,Jianxin Wang:
  Proteins involved in more domain types tend to be more essential.Int. J. Bioinform. Res. Appl.11(2):91-110 (2015)
• 
  [j19]
  Jun Ren,Jianxin Wang,Min Li,Fang-Xiang Wu:
  Discovering essential proteins based on PPI network and protein complex.Int. J. Data Min. Bioinform.12(1):24-43 (2015)
• 
  [j18]
  Min Li,Yu Lu,Jianxin Wang,Fang-Xiang Wu,Yi Pan:
  A Topology Potential-Based Method for Identifying Essential Proteins from PPI Networks.IEEE ACM Trans. Comput. Biol. Bioinform.12(2):372-383 (2015)
• 
  [j17]
  Jianxin Wang,Jiancheng Zhong,Gang Chen,Min Li,Fang-Xiang Wu,Yi Pan:
  ClusterViz: A Cytoscape APP for Cluster Analysis of Biological Network.IEEE ACM Trans. Comput. Biol. Bioinform.12(4):815-822 (2015)
• 
  [c27]
  Wei Lan,Jianxin Wang,Min Li,Jin Liu,Yi Pan:
  Predicting microRNA-disease associations by integrating multiple biological information.BIBM2015:183-188
• 
  [c26]
  Bolin Chen,Xuequn Shang,Min Li,Jianxin Wang,Fang-Xiang Wu:
  A two-step logistic regression algorithm for identifying individual-cancer-related genes.BIBM2015:195-200
• 2014
• 
  [j16]
  Wei Peng,Jianxin Wang,Juan Cai,Lu Chen,Min Li,Fang-Xiang Wu:
  Improving protein function prediction using domain and protein complexes in PPI networks.BMC Syst. Biol.8:35 (2014)
• 
  [j15]
  Gamage Upeksha Ganegoda,Jianxin Wang,Fang-Xiang Wu,Min Li:
  Prediction of disease genes using tissue-specified gene-gene network.BMC Syst. Biol.8(S-3):S3 (2014)
• 
  [j14]
  Bihai Zhao,Jianxin Wang,Min Li,Fang-Xiang Wu,Yi Pan:
  Detecting Protein Complexes Basedon Uncertain Graph Model.IEEE ACM Trans. Comput. Biol. Bioinform.11(3):486-497 (2014)
• 
  [c25]
  Bolin Chen,Min Li,Jianxin Wang,Fang-Xiang Wu:
  A logistic regression based algorithm for identifying human disease genes.BIBM2014:197-200
• 
  [c24]
  Lin Wu,Yichao Shen,Min Li,Fang-Xiang Wu:
  Drug Target Identification Based on Structural Output Controllability of Complex Networks.ISBRA2014:188-199
• 
  [c23]
  Min Li,Yu Lu,Zhibei Niu,Fang-Xiang Wu,Yi Pan:
  Identification of Essential Proteins by Using Complexes and Interaction Network.ISBRA2014:255-265
• 
  [c22]
  Xiaojun Ding,Haihua Gu,Zhen Zhang,Min Li,Fang-Xiang Wu:
  Searching SNP Combinations Related to Evolutionary Information of Human Populations on HapMap Data.ISBRA2014:278-288
• 2013
• 
  [j13]
  Jianxin Wang,Xiaoqing Peng,Qianghua Xiao,Min Li,Yi Pan:
  An effective method for refining predicted protein complexes based on protein activity and the mechanism of protein complex formation.BMC Syst. Biol.7:28 (2013)
• 
  [j12]
  Jun Ren,Jianxin Wang,Min Li,Lusheng Wang:
  Identifying protein complexes based on density and modularity in protein-protein interaction network.BMC Syst. Biol.7(S-4):S12 (2013)
• 
  [j11]
  Min Li,Jianxin Wang,Huan Wang,Yi Pan:
  Identification of Essential proteins from Weighted protein-protein Interaction Networks.J. Bioinform. Comput. Biol.11(3) (2013)
• 
  [c21]
  Jun Ren,Jianxin Wang,Min Li:
  A clustering algorithm for identifying hierarchical and overlapping protein complexes in large PPI networks.BIBM2013:1-2
• 
  [c20]
  Min Li,Weijie Chen,Jianxin Wang,Fang-Xiang Wu,Yi Pan:
  Identifying dynamic protein complexes based on gene expression profiles and PPI networks.BIBM2013:5
• 
  [c19]
  Xiwei Tang,Jianxin Wang,Min Li,Yiming He,Yi Pan:
  A novel algorithm for mining protein complex from the weighted network.BIBM2013:6
• 
  [c18]
  Gamage Upeksha Ganegoda,Jianxin Wang,Fang-Xiang Wu,Min Li:
  Prioritization of candidate genes based on disease similarity and protein's proximity in PPI networks.BIBM2013:103-108
• 
  [c17]
  Yu Lu,Min Li,Qi Li,Yi Pan,Jianxin Wang:
  A new method for predicting essential proteins based on topology potential.BIBM2013:109-114
• 2012
• 
  [j10]
  Min Li,Xuehong Wu,Jianxin Wang,Yi Pan:
  Towards the identification of protein complexes and functional modules by integrating PPI network and gene expression data.BMC Bioinform.13:109 (2012)
• 
  [j9]
  Min Li,Hanhui Zhang,Jianxin Wang,Yi Pan:
  A new essential protein discovery method based on the integration of protein-protein interaction and gene expression data.BMC Syst. Biol.6:15 (2012)
• 
  [j8]
  Jianxin Wang,Min Li,Huan Wang,Yi Pan:
  Identification of Essential Proteins Based on Edge Clustering Coefficient.IEEE ACM Trans. Comput. Biol. Bioinform.9(4):1070-1080 (2012)
• 
  [c16]
  Jun Ren,Jianxin Wang,Min Li:
  Identifying protein complexes based on local fitness method.BIBM2012:1-6
• 
  [c15]
  Murtada Khalafallah Elbashir,Jianxin Wang,Fang-Xiang Wu,Min Li:
  Sparse kernel logistic regression for β-turns prediction.ISB2012:246-251
• 2011
• 
  [j7]
  Xiwei Tang,Jianxin Wang,Binbin Liu,Min Li,Gang Chen,Yi Pan:
  A comparison of the functional modules identified from time course and static PPI network data.BMC Bioinform.12:339 (2011)
• 
  [j6]
  Jianxin Wang,Gang Chen,Min Li,Yi Pan:
  Integration of breast cancer gene signatures based on graph centrality.BMC Syst. Biol.5(S-3):S10 (2011)
• 
  [j5]
  Wooyoung Kim,Min Li,Jianxin Wang,Yi Pan:
  Biological network motif detection and evaluation.BMC Syst. Biol.5(S-3):S5 (2011)
• 
  [j4]
  Min Li,Jianxin Wang,Xiang Chen,Huan Wang,Yi Pan:
  A local average connectivity-based method for identifying essential proteins from the network level.Comput. Biol. Chem.35(3):143-150 (2011)
• 
  [j3]
  Jianxin Wang,Min Li,Jianer Chen,Yi Pan:
  A Fast Hierarchical Clustering Algorithm for Functional Modules Discovery in Protein Interaction Networks.IEEE ACM Trans. Comput. Biol. Bioinform.8(3):607-620 (2011)
• 
  [c14]
  Jianxin Wang,Xiaoqing Peng,Min Li,Yong Luo,Yi Pan:
  Active Protein Interaction Network and Its Application on Protein Complex Detection.BIBM2011:37-42
• 
  [c13]
  Min Li,Xuehong Wu,Jianxin Wang,Yi Pan:
  A New Measurement for Evaluating Clusters in Protein Interaction Networks.BIBM2011:63-68
• 
  [c12]
  Wooyoung Kim,Min Li,Jianxin Wang,Yi Pan:
  Essential Protein Discovery Based on Network Motif and Gene Ontology.BIBM2011:470-475
• 
  [c11]
  Jun Ren,Jianxin Wang,Min Li,Huan Wang,Binbin Liu:
  Prediction of Essential Proteins by Integration of PPI Network Topology and Protein Complexes Information.ISBRA2011:12-24
• 
  [c10]
  Huan Wang,Min Li,Jianxin Wang,Yi Pan:
  A New Method for Identifying Essential Proteins Based on Edge Clustering Coefficient.ISBRA2011:87-98
• 2010
• 
  [j2]
  Min Li,Jianxin Wang,Jianer Chen,Zhao Cai,Gang Chen:
  Identifying the overlapping complexes in protein interaction networks.Int. J. Data Min. Bioinform.4(1):91-108 (2010)
• 
  [c9]
  Min Li,Jianxin Wang,Huan Wang,Yi Pan:
  Essential Proteins Discovery from Weighted Protein Interaction Networks.ISBRA2010:89-100
• 
  [c8]
  Jun Ren,Jianxin Wang,Jianer Chen,Min Li,Gang Chen:
  An Agglomerate Algorithm for Mining Overlapping and Hierarchical Functional Modules in Protein Interaction Networks.ISBRA2010:140-151