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Wei Liu
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正高级
Supervisor of Doctorate Candidates
Paper Publications
Wei Liu,陈崚,陈昕,陈伯伦.An algorithm for influence maximization in competitive social networks with unwanted users.APPLIED INTELLIGENCE,2020,50(2)417-437.
Wei Liu,陈昕,Jeon,Byeu,陈崚,陈伯伦.Influence maximization on signed networks under independent cascade model.APPLIED INTELLIGENCE,2019,49(3)912-928.
Wei Liu,马良玉,陈崚.Identification of Essential Proteins by Using Complexes and Biological Information on Dynamic PPI Network.2019 Seventh International Conference on Advanced Cloud and Big Data (CBD),2019,2019 Seventh International Con127-132.
Wei Liu,马良玉,唐玉亮.A New Scheme for Essential Proteins Identification in DynamicWeighted Protein-Protein Interaction Networks.ICAIS 2020（会议）,2020,volume 12239195-206.
Wei Liu,王进,陈崚,陈伯伦.Prediction of protein essentiality by the improved particle swarm optimization.SOFT COMPUTING,2018,22(20)6657-6669.
Wei Liu,马良玉,JEON B,陈崚,陈伯伦.A Network Hierarchy-Based method for functional module detection in protein-protein interaction networks.JOURNAL OF THEORETICAL BIOLOGY,2018,45526-38.
Wei Liu,陈昕,陈伯伦,王进,陈崚.An Efficient Algorithm for Influence Maximization Based on Propagation Path Analysis.Advances in Computer Science and Ubiquitous Computing, Lecture Notes in Electrical Engineering,2017,474836-845.
Wei Liu,Community detection in disease-gene network based on principal component analysis.Tsinghua Science and Technology,2014,18(5)454-461.
Wei Liu,A new protein-protein interaction prediction algorithm based on conditional random field.Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics),2015,9226367-378.
Wei Liu,Community detection in disease-gene network based on principal component analysis.Tsinghua Science and Technology,2013,18(5)454-461.
Wei Liu,Community Detection in Disease-Gene Network Based on Principal Component Analysis.TSINGHUA SCIENCE AND TECHNOLOGY,2015,18（5）454-461.
Wei Liu,A fast Longest Common Subsequence Algorithm for Biosequences Alignment.IFIP Advances in Information and Communication Technology,2008,25861-69.
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