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.
|2019-12-18||Cong. on Jinzheng Tu's paper “Attention-Aware Answers of the Crowd” is accepted by SDM2020.|
|2019-12-14||Cong. on Lin Jiang's paper "Feature selection with missing labels based on label compression and local feature correlation" is accepted by Neurocomputing Journal|
|2019-12-05||Cong. on Ziying yang's paper "Cooperative driver pathway discovery via fusion of multi-relational data of genes, miRNAs, pathways" is accepted by Briefings in Bioinfmatics|
|2019-11-17||Cong. on Xuanwu Liu's paper "Weakly-supervised Cross-modal Hashing" is accepted as a Regular Paper by IEEE Transactions on Big Data|
|2019-11-12||Congrat. on Keyao Wang's paper “Differentiating isoform functions with collaborative matrix factorization" is accepted by Bioinformatics|