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.
|2019-10-02||Cong. on Ziying Yang's paper "CoPath: discovering cooperative driver pathways using greedy mutual exclusivity and bi-clustering" is accepted as a Regular Paper by BIBM.|
|2019-09-30||Cong. on Honghu Zhou's paper "Laplacian Eigenmaps Dimensionality Reduction based on Clustering Adjusted Similarity" is accepted by Algorithms.|
|2019-09-26||Cong. on Ziying Yang's paper "CDPath: Cooperative driver pathways discovery using integer linear programming Markov clustering" is accepted as a Regular Paper by IEEE/ACM Transactions on Computational Biology Bioinfmatics|
|2019-09-16||Cong. on Yingwen Zhao's paper is accepted as a regular paper of IEEE/ACM Trans on Computational Biology and Bioinformatics|
|2019-09-15||"Co-clustering Ensembles based on Multiple Relevance Measures" is accepted by IEEE Trans on Knowledge and Data Engineering as a Regular Paper, Cong. to Xianxue Yu!|