Tieyuan Liu

According to our database, Tieyuan Liu authored at least 13 papers between 2009 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Towards unified frameworks for fair and privacy-preserving graph neural networks.

Xuemin Wang, Yunhui Li, Tianlong Gu, Xuguang Bao, Liang Chang, Guoyong Cai, Tieyuan Liu

Neural Networks, 2026

2025

GRIF-PPGNN: Group equality informed Ranking-based Individual Fairness for Privacy-Preserving Graph Neural Network.

Xuemin Wang, Yunhui Li, Tianlong Gu, Xuguang Bao, Liang Chang, Guoyong Cai, Tieyuan Liu

Neurocomputing, 2025

BIGFR: Bridging Individual and Group Fairness in Recommendation Systems.

Yaorui Gan, Xuemin Wang, Tieyuan Liu, Liang Chang, Qicang Gen, Yu Zeng

Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

2022

High-Rate Underwater Acoustic Localization Based on the Decision Tree.

Sibo Sun, Tieyuan Liu, Yilin Wang, Guangpu Zhang, Kaixin Liu, Yong Wang

IEEE Trans. Geosci. Remote. Sens., 2022

A review of deep learning-based recommender system in e-learning environments.

Tieyuan Liu, Qiong Wu, Liang Chang, Tianlong Gu

Artif. Intell. Rev., 2022

Augmenting Convolution Neural Networks by Utilizing Attention Mechanism for Knowledge Tracing.

Meng Zhang, Liang Chang, Tieyuan Liu, Chen Wei

Proceedings of the Intelligent Information Processing XI, 2022

Predicting Student Performance in Online Learning Using a Highly Efficient Gradient Boosting Decision Tree.

Chang Wang, Liang Chang, Tieyuan Liu

Proceedings of the Intelligent Information Processing XI, 2022

2021

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

2020

A New Mobility Model Based on Markov Chain for MANETs.

Tieyuan Liu, Tianlong Gu, Liang Chang, Hongzhuan Zhao

Proceedings of the Machine Learning for Cyber Security - Third International Conference, 2020

MOOCs Dropout Prediction Based on Hybrid Deep Neural Network.

Yan Zhang, Liang Chang, Tieyuan Liu

Proceedings of the International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery, 2020

Convolutional Recurrent Neural Networks for Knowledge Tracing.

Wei Wang, Tieyuan Liu, Liang Chang, Tianlong Gu, Xuemei Zhao

Proceedings of the International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery, 2020

Attentional Autoencoder for Course Recommendation in MOOC with Course Relevance.

Jindan Tan, Liang Chang, Tieyuan Liu, Xuemei Zhao

Proceedings of the International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery, 2020

2009

Analyzing the Impact of Entity Mobility Models on the Performance of Routing Protocols in the MANET.

Tieyuan Liu, Liang Chang, Tianlong Gu

Proceedings of the 2009 Third International Conference on Genetic and Evolutionary Computing, 2009