专职教师

    刘斌,本科硕士博士分别就读于辽宁工业大学信息与计算科学,电子科技大学软件工程和电子科技大学计算机软件与理论,并在英属哥伦比亚大学进行博士联合培养年,香港大学博士后,于2018年加入西南财经大学。研究兴趣为机器学习和数据挖掘。

  1. 教授课程
  2. 学术成果
  3. 主持项目
  4. 学术兼职
  •     统计学习、机器学习

  •  Zenglin Xu, Bin Liu, Shandian. Zhe, Haoli. Bai, Zihan. Wang and Jennifer Neville, "Variational Random Function Model for Network Modeling," in IEEE Transactions on Neural Networks and Learning Systems. (https://10.1109/TNNLS.2018.2837667),2018. (IF:7.982, to appear).


    12.Bin Liu, Zenglin Xu, et.al. NeuralCP: Bayesian multiway data analysis with neural tensor decomposition" Cognitive Computation (https://doi.org/10.1007/s12559-018-9587-4), 2018. (IF:3.479, to appear).

    11. Bin Liu, Yingming Li, Zenglin Xu. Manifold Regularized Matrix Completion for Multi-label Learning with ADMM",Neural Networks, pp.57-67,2018.(IF:7.197)

    10.    Bin Liu, Lirong He, Shandian Zhe, Yingmin Li, Zenglin Xu. DeepCP: Flexible Nonlinear Tensor Decomposition" NIPS workshop on Bayesian Deep Learning, 2017.

    9.Bin Liu, Dan Ma, Chunmei Ma, Shuang Wu. Gene Functional Annotation via Matrix Completion" International Conference on Communications (ICC)., pp.1-6, 2017.

    8.Bin Liu, Zenglin Xu, Haoli Bai et al. Learning from Semantically Dependent Multi-Tasks" International Joint Conference on Neural Networks(IJCNN), pp. 3498-3505, 2017.

    7.Liqiang Wang, Yafang Wang,Bin Liu, Lirong He, Shijun Liu, Gerard de Melo and Zenglin Xu. Link Prediction by Exploiting Network Formation Games in Exchangeable Graphs" International Joint Conference on Neural Networks(IJCNN), 2017, 619-626.

    6.Bin Liu, Zenlin Xu, Yingming Li. Tensor Decomposition via Variational Auto-Encoder" ArXiv e-prints,1611.00866,2016., http://adsabs.harvard.edu/abs/2016arXiv161100866L) .

    5. Bin Liu, Zenlin Xu*, Shuang Wu, and Fei Wang. Manifold Regularized Matrix Completion for Multi-label Classification" Pattern Recognition Letters, vol.80, pp.58-63, 2016. (IF:1.995 )

    4.Haoli Bai, Zenglin Xu,Bin Liu, Yingming Li. Hierarchical Probabilistic Matrix Factorization with Network Topology for Multi-relational Social Network" Asian Conference on Machine Learning(ACML), pp. 270-285, 2016 . (最佳学生论文 runner up)

    3.Chunmei Ma, Qing Zhu, Shuang Wu,Bin Liu. Representation Learning from Time Labelled Heterogeneous Data for Mobile Crowdsensing" Mobile Information Systems,306:22-30,2016. (IF:0.849)

    2.Bin Liu, Chao Song, Nianbo Liu. Distinguishing uncertain objects with multiple features for crowdsensing" IEEE Global Communications Conference (GLOBECOM), pp. 2751-2756,2014. (会议最佳论文提名)

    1.Bin Liu, Chao Song, Ming Liu, Nianbo Liu, Jingqi Zhu. Understanding Multiple Features with Hypercube for Distinguishing Uncertain Objects in Mobile Crowdsensing" IEEE International Conference on Mobile Ad Hoc and Sensor Systems(MASS),pp. 247-251, 2014.


  •     Neurocomputing 审稿人