Fei Liu

According to our database, Fei Liu authored at least 15 papers between 2018 and 2023.

Collaborative distances:

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

2023

MMIEA: Multi-modal Interaction Entity Alignment model for knowledge graphs.

Bin Zhu, Meng Wu, Yunpeng Hong, Yi Chen, Bo Xie, Fei Liu, Chenyang Bu, Weiping Ding

Inf. Fusion, December, 2023

Cognitive Diagnostic Model Made More Practical by Genetic Algorithm.

Chenyang Bu, Fei Liu, Zhiyong Cao, Lei Li, Yuhong Zhang, Xuegang Hu, Wenjian Luo

IEEE Trans. Emerg. Top. Comput. Intell., April, 2023

Meta Multi-agent Exercise Recommendation: A Game Application Perspective.

Fei Liu, Xuegang Hu, Shuochen Liu, Chenyang Bu, Le Wu

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

2022

Fuzzy Bayesian Knowledge Tracing.

Fei Liu, Xuegang Hu, Chenyang Bu, Kui Yu

IEEE Trans. Fuzzy Syst., 2022

Genetic Algorithm for Bayesian Knowledge Tracing: A Practical Application.

Shuai Sun, Xuegang Hu, Chenyang Bu, Fei Liu, Yuhong Zhang, Wenjian Luo

Proceedings of the Advances in Swarm Intelligence - 13th International Conference, 2022

Evolutionary Algorithms with Heuristic Gradient-based Repair for Constrained Optimization.

Jiacheng Du, Chenyang Bu, Yuxin Liu, Fei Liu, Wenjian Luo

Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2022

APGKT: Exploiting Associative Path on Skills Graph for Knowledge Tracing.

Haotian Zhang, Chenyang Bu, Fei Liu, Shuochen Liu, Yuhong Zhang, Xuegang Hu

Proceedings of the PRICAI 2022: Trends in Artificial Intelligence, 2022

DAGKT: Difficulty and Attempts Boosted Graph-Based Knowledge Tracing.

Rui Luo, Fei Liu, Wenhao Liang, Yuhong Zhang, Chenyang Bu, Xuegang Hu

Proceedings of the Neural Information Processing - 29th International Conference, 2022

2021

Automatic Graph Learning with Evolutionary Algorithms: An Experimental Study.

Chenyang Bu, Yi Lu, Fei Liu

Proceedings of the PRICAI 2021: Trends in Artificial Intelligence, 2021

2020

A Novel On-Demand Charging Strategy Based on Swarm Reinforcement Learning in WRSNs.

Zhen Wei, Meng Li, Zhenchun Wei, Lei Cheng, Zengwei Lyu, Fei Liu

IEEE Access, 2020

2019

A Q-learning algorithm for task scheduling based on improved SVM in wireless sensor networks.

Zhenchun Wei, Fei Liu, Yan Zhang, Juan Xu, Jianjun Ji, Zengwei Lyu

Comput. Networks, 2019

K-CHRA: A Clustering Hierarchical Routing Algorithm for Wireless Rechargeable Sensor Networks.

Zhenchun Wei, Fei Liu, Xu Ding, Lin Feng, Zengwei Lyu, Lei Shi, Jianjun Ji

IEEE Access, 2019

A Multi-Grouped LS-SVM Method for Short-Term Urban Traffic Flow Prediction.

Fei Liu, Zhenchun Wei, Zhensheng Huang, Yang Lu, Xuegang Hu, Lei Shi

Proceedings of the 2019 IEEE Global Communications Conference, 2019

2018

Reinforcement Learning for a Novel Mobile Charging Strategy in Wireless Rechargeable Sensor Networks.

Zhenchun Wei, Fei Liu, Zengwei Lyu, Xu Ding, Lei Shi, Chengkai Xia

Proceedings of the Wireless Algorithms, Systems, and Applications, 2018

A Novel Mixed-Variable Fireworks Optimization Algorithm for Path and Time Sequence Optimization in WRSNs.

Chengkai Xia, Zhenchun Wei, Zengwei Lyu, Liangliang Wang, Fei Liu, Lin Feng

Proceedings of the Communications and Networking, 2018