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.
|2018-07-16||Congratulations! Jie Liou's paper "TrioMDR: detecting SNP interactions in trio families with model-based multifact dimensionality reduction" is accepted by Genomics Journal (IF: 2.91)|
|2018-06-26||Cong. on Yuan Jiang's paper "BMC3C: Binning Metagenomic Contigs using Codon usage, sequence Composition and read Coverage" is accepted by the reputable Bioinformatics Journal|
|2018-06-07||Congratulations! Xia Chen's paper “Matrix Factorization for Identifying Noisy Labels of Multi-label Instances” is accepted by PRICAI .|
|2018-04-17||Two papers “Incomplete Multi-view Weak-Label Learning” “Multi-Label Co-Training” are accepted by IJCAI 2018(CCF A), Cong. to Qiaoyu Tan Yuying Xing!|
|2018-03-24||Two papers "HiSSI: High-order SNP-SNP Interactions Detection based on Efficient Significant Pattern and Differential Evolution" and "Drug Repositioning based on Individual Bi-random Walks on a Heterogenous Network" are accepted by 14th ISBRA , Cong. to Xia Cao and Yuehui Wang|