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.
|2020-06-21||Cong. on Yuehui Wang's paper "Attributed Heterogeneous Network Fusion via Collaborative Matrix Tri-factorization" is accepted by Information Fusion.|
|2020-06-05||Cong. on Xia Chen's paper "CMAL: Cost-effective Multi-label Active Learning by Querying Subexamples" is accepted as regular paper of IEEE Trans. on Knowledge and Data Engineering.|
|2020-05-15||Cong. on Yuying Xing, Yuehui Wang is being recommended as Excellent Graduate of Chongqing,2020; and the other graduates as Excellent Graduates of SWU, 2020.|
|2020-04-24||Cong. on Guangyuan Fu's Master Thesis awarded with Excellent thesis of Chongqing.|
|2020-04-20||Cong. on Yuying Xing's paper "Weakly-Supervised Multi-view Multi-instance Multi-label Learning" is accepted by IJCAI2020|