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.
|2019-07-06||Congrat. on Jinzheng Tu's paper “Multi-Label Crowd Consensus via Joint Matrix Factorization" is accepted by Knowledge and Information Systems|
|2019-06-25||Congrat. on Keyao Wang's paper “Isoform function prediction based on bi-random walks on a heterogeneous network" is accepted by Bioinformatics|
|2019-06-17||Cong. on Siyuan Ping's paper "Consistent and Specific Multi-View Relative-transform Classification" is accepted by IJCAI-HBAI|
|2019-06-17||Cong. on Yifan Xie's paper "Affinity Propagation Clustering Using Centroid-Deviation-Distance Based Similarity" is accepted by IJCAI-HBAI|
|2019-06-13||Congrat. on Yuehui Wang's paper “Weighted Matrix Factorization on multi-relational data for LncRNA-Disease Association prediction” is accepted by Methods|