Yuanguo Lin

According to our database, Yuanguo Lin authored at least 23 papers between 2021 and 2026.

Collaborative distances:

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

2026

NestedKV: Nested Memory Routing for Long-Context KV Cache Compression.

Hong Chen, Xiang Liu, Yubo Gao, Yuxuan Fan, Bo Wang, Yuanlin Chu, Yuanguo Lin, Xuming Hu

CoRR, May, 2026

Federated Nested Learning: Collaborative Training of Self-Referential Memories for Test-Time Adaptation.

Hong Chen, Pengcheng Wu, Yuanguo Lin, Peilin Zhao, Xiuze Zhou, Fan Lin, Han Yu

CoRR, May, 2026

A Survey on Reinforcement Learning Methods for UAV Systems.

Hengsheng Chen, Yuanguo Lin, Mingjian Fu, Lina Yao, Quan Z. Sheng

ACM Comput. Surv., March, 2026

Attack and defense techniques in large language models: A survey and new perspectives.

Zhiyu Liao, Kang Chen, Yuanguo Lin, Kangkang Li, Yunxuan Liu, Hefeng Chen, Xingwang Huang, Yuanhui Yu

Neural Networks, 2026

Evolutionary reinforcement learning for explainable recommendation on knowledge graph.

Yuanguo Lin, Hong Chen, Xiuze Zhou, Wei Zhang, Huanyu You, Fan Lin, Pengcheng Wu

Appl. Soft Comput., 2026

2025

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

Yuanguo Lin, Hong Chen, Wei Xia, Fan Lin, Zongyue Wang, Yong Liu

Data Sci. Eng., December, 2025

A Survey on Data Security in Large Language Models.

Kang Chen, Xiuze Zhou, Yuanguo Lin, Jinhe Su, Yuanhui Yu, Li Shen, Fan Lin

CoRR, August, 2025

Attention-based federated learning for multi-dimensional personalized recommendation system.

Lining Zheng, Hong Chen, Yuanguo Lin, Li Li, Yuanhui Yu, Hefeng Chen, Kangkang Li, Runshan Hu, Shutong Xie

J. King Saud Univ. Comput. Inf. Sci., 2025

A survey on privacy risks and protection in large language models.

Kang Chen, Xiuze Zhou, Yuanguo Lin, Shibo Feng, Li Shen, Pengcheng Wu

J. King Saud Univ. Comput. Inf. Sci., 2025

Layer-wise contrastive learning BERT for sentence representation of GitHub.

Daoquan Chen, Wei Zhang, Shengyu Lu, Yuanguo Lin, Xinyu Gu, Xiuze Zhou

Neurocomputing, 2025

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