Welcome to our Machine Learning and Data Analysis (MLDA) Lab @ Southwest University! The research interests of MLDA include Machine Learning, Data Mining, Big Data Analysis and Bioinformatics. Our researches are supported by National Natural Science Foundation of China, Technology Foundation for Selected Overseas Chinese Scholars, Natural Science Foundation of Chongqing, and Fundamental Research Funds for the Central Universities.
Each faculty in the Lab can recruit and supervise graduate. MLDA always welcome students, who are interested in Machine Learning and Big Data Mining, to join and participate in exciting research topics and to quickly shape yourself. The Lab can provide you with the latest research facilities, timely guidance and various opportunities to co-work with members and collaborators of the MLDA Lab.
|2018-09-06||Congratulation! Xing Wang's paper “Network Regularized Bi-Clustering for Cancer Subtype Categorization” is accepted by Chinese Journal of Computer|
|2018-08-18||'Feature-induced Partial Multi-label Learning' 'Cost Effective Multi-label Active Learning via Querying Subexamples' are accepted by ICDM(CCF B) as short paper. Congratulating to Xia Chen !|
|2018-08-18||'Multiple Co-Clusterings' is accepted by ICDM(CCF B) as short paper. Congratulating to Xing Wang !|
|2018-08-18||'Multi-Label Answer Aggregation based on Joint Matrix Factization' is accepted by ICDM(CCF B) as regular paper. Congratulating to Jinzheng Tu !|
|2018-08-17||'Semi-Supervised Multi-Label Feature Selection based on Sparsity Regularization Dependence Maximization ' is accepted by ICICIP2018. Congratulating to Ling Jiang !|