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.
|2020-03-30||Cong. on Yingwen Zhao's survey paper "A Literature Review of Gene Function Prediction by Modeling Gene Ontology" is accepted by Frontier in Genetics.|
|2020-03-29||Cong. on Jinzheng Tu's paper "Active Multi-Label Crowd Consensus is accepted as Regular Paper of IEEE Transactions on Neural Networks and Learning Systems|
|2020-03-23||Cong. on Qiuyue Huang's paper “Isoform-disease association prediction by data fusion” ，Huiling Zhang's paper “EpIntMC: detecting epistatic interactions using multiple clusterings" is accepted by ISBRA2020.|
|2020-02-14||Cong. on Tingting Yu's paper “Partial Multi-label Learning with Label and Feature Collaboration” , Xuanwu Liu's paper “Dynamical User Intention Prediction via Multi-modal Learning” and Yuying Xing's paper “Link Inference via Heterogeneous Multi-view Graph Neural Networks” is accepted by DASFAA2020.|
|2019-12-18||Cong. on Jinzheng Tu's paper “Attention-Aware Answers of the Crowd” is accepted by SDM2020.|