Peng Hu

½­ Ô´
Yuan Jiang

M.Sc. Student

MLDA Group,
College of Computer and Information Science,
Southwest University, Chongqing, China

Supervisor:
  Guoxian Yu

Biography:
  Currently I am a third year graduate student of College of Computer and Information Science in Southwest University and a member of MLDA Group, led by professor Guo-Xian Yu.
I received my B.Sc. degree in Information and Computing Science in June 2015 from Chongqing University of Technology . In September 2015, I was admitted to study for a M.Sc. degree in Southwest University

Research Interest:
 
My research interests include: Machine learning ; Unsupervised learning; Supervised learning; Bioinformatics.

Papers:
 
  • YuanJiang, Yuliang Liao, Guoxian Yu Affinity Propagation Clustering Using Path Based Similarity.Algorithms, 2016, 9(3):46.
  • YuanJiang, Jun Wang, Daxia Wen, Guoxian Yu EnSVMB: Metagenomics Fragments Classification using Ensemble SVM and BLAST. .Scientific Reports,, 2017,7:9440.
  • Jie Liu, Guoxian Yu,Yuan Jiang, Jun Wang. HiSeeker: Detecting High-Order SNP Interactions Based on Pairwise SNP Combinations.Genes, 2017, 8(6):153.

Projects:
  2017.03-2017.12  Fundamental Research Funds for the Central Universities of China (Student Project)   The study of high order SNPs interaction detection  The main researcher
  Description£ºThis project designs a method based on machine learning methods to screen candidate SNPS.
  2016.03-2016.12  Fundamental Research Funds for the Central Universities of China (Student Project)  Protein function prediction by negative sample selection   The main researcher
  Description£ºPredicting the potential negative function of proteins in order to improve the accuracy of protein function prediction. As the project director, I proposed three model based on random walk with restart, signed hybrid graph, semi-supervised linear regression for negative example prediction, respectively.
  2017.03-2017.12  Fundamental Research Funds for the Central Universities of China (Student Project)  Predicting lncRNA-disease association by multiple heterogeneous data fusion   The main researcher
  Description£ºTaking advantage of the associations between lncRNA and miRNA,gene to analysis and predict the lncRNA-disease associations. As the the project director, I proposed two model based on asynchronous random walk with restart on hybrid graph and matrix factorization for predicting the potential lncRNA-disease association, respectively.
  2017.03-2017.12  Chongqing Graduate Student Research Innovation Project  The research and application of transspecies protein function prediction  The main researcher
  Description£ºUtilizting the sequence and interaction network of proteins to predicting the complementary annotation of protein functions for multi-species. As the the project director, I proposed models based on semantic similarity, multiple correlation network for multi-species protein function prediction.

 
Mail:
Yuan Jiang
Southwest University, No. 2 Tiansheng Road, Beibei,
Chongqing 400715, China
Laboratory:
Room 1002, 25th Building, College of Computer and Information Science, Southwest University
URL:
Email:
yuanjiang@swu.edu.cn or 383954596@qq.com

last modified: 2015-9-24