Analyzing the Impact of Entity Mobility Models on the Performance of Routing Protocols in the MANET. - Tieyuan Liu; Liang Chang 003; Tianlong Gu (WGEC, 2009)

Attentional Autoencoder for Course Recommendation in MOOC with Course Relevance. - Jindan Tan; Liang Chang 003; Tieyuan Liu; Xuemei Zhao (CyberC, 2020)

Convolutional Recurrent Neural Networks for Knowledge Tracing. - Wei Wang 012; Tieyuan Liu; Liang Chang 003; Tianlong Gu; Xuemei Zhao (CyberC, 2020)

MOOCs Dropout Prediction Based on Hybrid Deep Neural Network. - Yan Zhang; Liang Chang 003; Tieyuan Liu (CyberC, 2020)

A New Mobility Model Based on Markov Chain for MANETs. - Tieyuan Liu; Tianlong Gu; Liang Chang 003; Hongzhuan Zhao (ML4CS (3), 2020)

A Novel Diabetic Retinopathy Detection Approach Based on Deep Symmetric Convolutional Neural Network. - Tieyuan Liu; Yi Chen; Hongjie Shen; Rupeng Zhou; Meng Zhang; Tonglai Liu; Jin Liu (IEEE Access, 2021)

Predicting Student Performance in Online Learning Using a Highly Efficient Gradient Boosting Decision Tree. - Chang Wang; Liang Chang 003; Tieyuan Liu (IIP, 2022)

Augmenting Convolution Neural Networks by Utilizing Attention Mechanism for Knowledge Tracing. - Meng Zhang; Liang Chang 003; Tieyuan Liu; Chen Wei (IIP, 2022)

A review of deep learning-based recommender system in e-learning environments. - Tieyuan Liu; Qiong Wu; Liang Chang 003; Tianlong Gu (Artif. Intell. Rev., 2022)

High-Rate Underwater Acoustic Localization Based on the Decision Tree. - Sibo Sun; Tieyuan Liu; Yilin Wang; Guangpu Zhang; Kaixin Liu; Yong Wang 017 (IEEE Trans. Geosci. Remote. Sens., 2022)

BIGFR: Bridging Individual and Group Fairness in Recommendation Systems. - Yaorui Gan; Xuemin Wang 003; Tieyuan Liu; Liang Chang 003; Qicang Gen; Yu Zeng (ICASSP, 2025)

GRIF-PPGNN: Group equality informed Ranking-based Individual Fairness for Privacy-Preserving Graph Neural Network. - Xuemin Wang 003; Yunhui Li; Tianlong Gu; Xuguang Bao; Liang Chang 003; Guoyong Cai; Tieyuan Liu (Neurocomputing, 2025)