ۿ۴ý

ۿ۴ý

Chen, Baiyun, Ph.D.

Assistant Professor
Computer Science Department
Andrew F. Brimmer Hall Room 300-E9
ۿ۴ýUniversity, Tuskegee, AL 36088
Office:  334-727-8533
Fax: 334-724-4389
Email:  bchen@tuskegee.edu 

EDUCATION

  • Ph.D., Computer Science, Chongqing University of Posts and Telecommunications, China, 2022
  • M.E., Management Information System, Zhongnan University of Economics and Law, China, 2015
  • B.E., Management Information System, Zhongnan University of Economics and Law, China, 2012

WORKING EXPERIENCE

  • Assistant Professor, Department of Computer Science, ۿ۴ýUniversity, 2023-present
  • Visiting Scholar, ICTEAM Research Institute, Catholic University of Louvain, Belgium, 2021-2022
  • Teaching and Research Assistant, Department of Computer Science and Technology, Chongqing University of Posts and Telecommunications, 2017-2020
  • Database developer (Intern), Jingdong Electronic Commerce Company, 2014-2015
  • Data Analyst (Intern), Teradata Corporation, 2013-2014

PUBLICATIONS

  • Chen B., Xia S., Chen Z., Wang B., Wang G. “RSMOTE: A self-adaptive robust SMOTE for imbalanced problems with label noise.” Information Sciences (IS), vol. 553, pp. 397-428, 2021
  • Chen B., Huang L., Chen Z., Wang G. “An Ensemble and Iterative Recovery Strategy Based kGNN Method to Edit Data with Label Noise.” Mathematics, vol. 10(15), no. 2743, 2022.
  • Xia S., Chen B., Wang G., Zheng Y., Gao X., Giem E., Chen Z. “mCRF and mRD: Two classification methods based on a novel multiclass label noise filtering learning framework.” IEEE Transactions on Neural Networks and Learning Systems (TNNLS), vol. 33(7), pp. 2916-2930, 2022.
  • Chen B., Huang L., Peng J., Zhou H. “An Iterative Recovery Strategy based KNN Method to Edit the Data with Label Noise.” in IEEE International Conference on Computer Engineering and Applications (ICCEA), pp. 1036-1040, 2022.
  • Liang X, Xia S, Liu Q, Y. Liu, B. Chen, G. Wang. “A Multi-Granular Relative Density Model for Class Noise Detection.” In IEEE International Conference on Big Data (BigData), pp. 2651-2656, 2018.
  • Liu Y., Xia S., Yu H., Luo Y., Chen B., Liu K., Wang G. “Prediction of Aluminum Electrolysis Superheat Based on Improved Relative Density Noise Filter SMO.” In IEEE International Conference on Big Knowledge (ICBK), pp. 376-381, 2018.
  • Chen Z., Ding X., Xia S., Chen B. “The k-means forest classifier for high dimensional data.” In IEEE International Conference on Big Knowledge (ICBK), pp. 322-327, 2018.
  • Yu, C., Zuo, Y., Feng, B., An, L., Chen, B. “An individual-group-merchant relation model for identifying fake online reviews: an empirical study on a Chinese e-commerce platform.” Information Technology and Management (ITM), vol. 20(3), pp. 123-138, 2019.