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Tieyuan Liu
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2020 – today
- 2022
- [j3]Tieyuan Liu, Qiong Wu, Liang Chang, Tianlong Gu:
A review of deep learning-based recommender system in e-learning environments. Artif. Intell. Rev. 55(8): 5953-5980 (2022) - [j2]Sibo Sun
, Tieyuan Liu, Yilin Wang, Guangpu Zhang
High-Rate Underwater Acoustic Localization Based on the Decision Tree. IEEE Trans. Geosci. Remote. Sens. 60: 1-12 (2022) - [c7]Meng Zhang, Liang Chang, Tieyuan Liu, Chen Wei:
Augmenting Convolution Neural Networks by Utilizing Attention Mechanism for Knowledge Tracing. Intelligent Information Processing 2022: 80-86 - [c6]Chang Wang, Liang Chang, Tieyuan Liu:
Predicting Student Performance in Online Learning Using a Highly Efficient Gradient Boosting Decision Tree. Intelligent Information Processing 2022: 508-521 - 2021
- [j1]Tieyuan Liu, Yi Chen
A Novel Diabetic Retinopathy Detection Approach Based on Deep Symmetric Convolutional Neural Network. IEEE Access 9: 160552-160558 (2021) - 2020
- [c5]Jindan Tan, Liang Chang, Tieyuan Liu, Xuemei Zhao:
Attentional Autoencoder for Course Recommendation in MOOC with Course Relevance. CyberC 2020: 190-196 - [c4]Yan Zhang, Liang Chang, Tieyuan Liu:
MOOCs Dropout Prediction Based on Hybrid Deep Neural Network. CyberC 2020: 197-203 - [c3]Wei Wang, Tieyuan Liu, Liang Chang, Tianlong Gu, Xuemei Zhao:
Convolutional Recurrent Neural Networks for Knowledge Tracing. CyberC 2020: 287-290 - [c2]Tieyuan Liu, Tianlong Gu, Liang Chang, Hongzhuan Zhao:
A New Mobility Model Based on Markov Chain for MANETs. ML4CS (3) 2020: 203-214
2000 – 2009
- 2009
- [c1]Tieyuan Liu, Liang Chang, Tianlong Gu:
Analyzing the Impact of Entity Mobility Models on the Performance of Routing Protocols in the MANET. WGEC 2009: 56-59
Coauthor Index
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