Paper Publications

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.1) Zhang, H., Huang, T., Lv, Z., Liu, S., & Yang, H. (2019). MOOCRC: A Highly Accurate Resource Recommendation Model for Use in MOOC Environments. Mobile Networks and Applications, 24(1), 34-46.(SCI)
.2) Zhang, H., Huang, T., Lv, Z., Liu, S., & Zhou, Z. (2018). MCRS: A course recommendation system for MOOCs. Multimedia Tools and Applications, 77(6), 7051-7069.(SCI)
.3) Zhang H, Yang H, Huang T, et al. DBNCF: Personalized Courses Recommendation System Based on DBN in MOOC Environment[C]//Educational Technology (ISET), 2017 International Symposium on. IEEE, 2017: 106-108. (EI)
.4) Tao Hu, Hao Zhang*, Xinyan Zhu, Julaine Clunis, Gelan Yang, Depth sensor based human detection for indoor surveillance, Future Generation Computer Systems,Volume 88,2018, Pages 540-551. (SCI 2区)
.5) Zhang H, Xiao X, Huang T, et al. An Novel End-to-end Network for Automatic Student Engagement Recognition[C]. ieee international conference on electronics information and emergency communication, 2019.（EI）
.6) Huang T, Mei Y, Zhang H*, et al. Fine-grained Engagement Recognition in Online Learning Environment[C]. ieee international conference on electronics information and emergency communication, 2019.（EI）
.7) 黄涛,王一岩,张浩,杨华利.智能教育场域中的学习者建模研究趋向[J].远程教育杂志,2020,38(01):50-60.
.8) Hao Zhang, Tao Huang, Sanya Liu, Hao Yin,Jia Li, Huali Yang, Yu Xia. A learning style classification approach based on deep belief network for large-scale online education，Journal of Cloud Computing-Advances Systems and Applications，DOI: 10.1186/s13677-020-00165-y（SCI）
.9) Hao Zhang, Tao Huang*,Yepei Xing and Heng Yang.A learning mode of interactive autonomy based on the smart learning environments. International Conference on Advanced Technologies Enhancing Education.2017, 2352-5398(EI)
.10) Zhang, H., Zhang, W., Lv, Z., Sangaiah, A. K., Huang, T., & Chilamkurti, N. (2019). MALDC: a depth detection method for malware based on behavior chains. World Wide Web, 1-20. (SCI)

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