Yuanguo Lin

According to our database, Yuanguo Lin authored at least 13 papers between 2021 and 2024.

Collaborative distances:

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

2024

A Survey on Reinforcement Learning for Recommender Systems.

Yuanguo Lin, Yong Liu, Fan Lin, Lixin Zou, Pengcheng Wu, Wenhua Zeng, Huanhuan Chen, Chunyan Miao

IEEE Trans. Neural Networks Learn. Syst., October, 2024

Knowledge-aware reasoning with self-supervised reinforcement learning for explainable recommendation in MOOCs.

Yuanguo Lin, Wei Zhang, Fan Lin, Wenhua Zeng, Xiuze Zhou, Pengcheng Wu

Neural Comput. Appl., 2024

Evolutionary Reinforcement Learning: A Systematic Review and Future Directions.

Yuanguo Lin, Fan Lin, Guorong Cai, Hong Chen, Lixin Zou, Pengcheng Wu

CoRR, 2024

Trend-Heuristic Reinforcement Learning Framework for News-Oriented Stock Portfolio Management.

Wei Ding, Zhennan Chen, Hanpeng Jiang, Yuanguo Lin, Fan Lin

Proceedings of the IEEE International Conference on Acoustics, 2024

2023

Multi-scale reinforced profile for personalized recommendation with deep neural networks in MOOCs.

Yuanguo Lin, Shibo Feng, Fan Lin, Jianbing Xiahou, Wenhua Zeng

Appl. Soft Comput., November, 2023

A Comprehensive Survey on Deep Learning Techniques in Educational Data Mining.

Yuanguo Lin, Hong Chen, Wei Xia, Fan Lin, Pengcheng Wu, Zongyue Wang, Yong Li

CoRR, 2023

2022

Hierarchical reinforcement learning with dynamic recurrent mechanism for course recommendation.

Yuanguo Lin, Fan Lin, Wenhua Zeng, Jianbing Xiahou, Li Li, Pengcheng Wu, Yong Liu, Chunyan Miao

Knowl. Based Syst., 2022

Federated low-rank tensor projections for sequential recommendation.

Li Li, Fan Lin, Jianbing Xiahou, Yuanguo Lin, Pengcheng Wu, Yong Liu

Knowl. Based Syst., 2022

Self-Supervised Reinforcement Learning with dual-reward for knowledge-aware recommendation.

Wei Zhang, Yuanguo Lin, Yong Liu, Huanyu You, Pengcheng Wu, Fan Lin, Xiuze Zhou

Appl. Soft Comput., 2022

Context-aware reinforcement learning for course recommendation.

Yuanguo Lin, Fan Lin, Lvqing Yang, Wenhua Zeng, Yong Liu, Pengcheng Wu

Appl. Soft Comput., 2022

Kernel-based Hybrid Interpretable Transformer for High-frequency Stock Movement Prediction.

Fan Lin, Pengfei Li, Yuanguo Lin, Zhennan Chen, Huanyu You, Shibo Feng

Proceedings of the IEEE International Conference on Data Mining, 2022

2021

Adaptive course recommendation in MOOCs.

Yuanguo Lin, Shibo Feng, Fan Lin, Wenhua Zeng, Yong Liu, Pengcheng Wu

Knowl. Based Syst., 2021

A Survey on Reinforcement Learning for Recommender Systems.

Yuanguo Lin, Yong Liu, Fan Lin, Pengcheng Wu, Wenhua Zeng, Chunyan Miao

CoRR, 2021