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2020 – today
- 2026
[j15]Yuanguo Lin
, Hong Chen, Xiuze Zhou, Wei Zhang, Huanyu You, Fan Lin, Pengcheng Wu:
Evolutionary reinforcement learning for explainable recommendation on knowledge graph. Appl. Soft Comput. 188: 114380 (2026)- [j14]Hengsheng Chen, Yuanguo Lin, Mingjian Fu, Lina Yao, Quan Z. Sheng:
A Survey on Reinforcement Learning Methods for UAV Systems. ACM Comput. Surv. 58(4): 103:1-103:37 (2026) - [j13]Zhiyu Liao, Kang Chen, Yuanguo Lin, Kangkang Li, Yunxuan Liu, Hefeng Chen, Xingwang Huang, Yuanhui Yu:
Attack and defense techniques in large language models: A survey and new perspectives. Neural Networks 196: 108388 (2026) - 2025
- [j12]Yuanguo Lin, Hong Chen, Wei Xia, Fan Lin, Zongyue Wang, Yong Liu:
A Comprehensive Survey on Deep Learning Techniques in Educational Data Mining. Data Sci. Eng. 10(4): 564-590 (2025) - [j11]Daoquan Chen, Wei Zhang, Shengyu Lu, Yuanguo Lin, Xinyu Gu, Xiuze Zhou:
Layer-wise contrastive learning BERT for sentence representation of GitHub. Neurocomputing 656: 131504 (2025) - [j10]Lining Zheng, Hong Chen, Yuanguo Lin, Li Li, Yuanhui Yu, Hefeng Chen, Kangkang Li, Runshan Hu, Shutong Xie:
Attention-based federated learning for multi-dimensional personalized recommendation system. J. King Saud Univ. Comput. Inf. Sci. 37(3) (2025) - [j9]Kang Chen, Xiuze Zhou, Yuanguo Lin, Shibo Feng, Li Shen, Pengcheng Wu:
A survey on privacy risks and protection in large language models. J. King Saud Univ. Comput. Inf. Sci. 37(7) (2025) - [i6]Zhiyu Liao, Kang Chen, Yuanguo Lin, Kangkang Li, Yunxuan Liu, Hefeng Chen, Xingwang Huang, Yuanhui Yu:
Attack and defense techniques in large language models: A survey and new perspectives. CoRR abs/2505.00976 (2025) - [i5]Kang Chen, Xiuze Zhou, Yuanguo Lin, Shibo Feng, Li Shen, Pengcheng Wu:
A Survey on Privacy Risks and Protection in Large Language Models. CoRR abs/2505.01976 (2025) - [i4]Kang Chen, Xiuze Zhou, Yuanguo Lin, Jinhe Su, Yuanhui Yu, Li Shen, Fan Lin:
A Survey on Data Security in Large Language Models. CoRR abs/2508.02312 (2025) - 2024
- [j8]Yuanguo Lin, Wei Zhang, Fan Lin, Wenhua Zeng, Xiuze Zhou, Pengcheng Wu:
Knowledge-aware reasoning with self-supervised reinforcement learning for explainable recommendation in MOOCs. Neural Comput. Appl. 36(8): 4115-4132 (2024) - [j7]Yuanguo Lin, Yong Liu, Fan Lin, Lixin Zou, Pengcheng Wu, Wenhua Zeng, Huanhuan Chen, Chunyan Miao:
A Survey on Reinforcement Learning for Recommender Systems. IEEE Trans. Neural Networks Learn. Syst. 35(10): 13164-13184 (2024) - [c2]Wei Ding, Zhennan Chen, Hanpeng Jiang, Yuanguo Lin, Fan Lin:
Trend-Heuristic Reinforcement Learning Framework for News-Oriented Stock Portfolio Management. ICASSP 2024: 5120-5124 - [i3]Yuanguo Lin, Fan Lin, Guorong Cai, Hong Chen, Lixin Zou, Pengcheng Wu:
Evolutionary Reinforcement Learning: A Systematic Review and Future Directions. CoRR abs/2402.13296 (2024) - 2023
- [j6]Yuanguo Lin, Shibo Feng, Fan Lin, Jianbing Xiahou, Wenhua Zeng:
Multi-scale reinforced profile for personalized recommendation with deep neural networks in MOOCs. Appl. Soft Comput. 148: 110905 (2023) - [i2]Yuanguo Lin, Hong Chen, Wei Xia, Fan Lin, Pengcheng Wu, Zongyue Wang, Yong Li:
A Comprehensive Survey on Deep Learning Techniques in Educational Data Mining. CoRR abs/2309.04761 (2023) - 2022
- [j5]Yuanguo Lin, Fan Lin, Lvqing Yang, Wenhua Zeng, Yong Liu, Pengcheng Wu:
Context-aware reinforcement learning for course recommendation. Appl. Soft Comput. 125: 109189 (2022) - [j4]Wei Zhang, Yuanguo Lin, Yong Liu, Huanyu You, Pengcheng Wu, Fan Lin, Xiuze Zhou:
Self-Supervised Reinforcement Learning with dual-reward for knowledge-aware recommendation. Appl. Soft Comput. 131: 109745 (2022) - [j3]Yuanguo Lin, Fan Lin, Wenhua Zeng, Jianbing Xiahou, Li Li, Pengcheng Wu, Yong Liu, Chunyan Miao:
Hierarchical reinforcement learning with dynamic recurrent mechanism for course recommendation. Knowl. Based Syst. 244: 108546 (2022) - [j2]Li Li, Fan Lin, Jianbing Xiahou, Yuanguo Lin, Pengcheng Wu, Yong Liu:
Federated low-rank tensor projections for sequential recommendation. Knowl. Based Syst. 255: 109483 (2022) - [c1]Fan Lin, Pengfei Li, Yuanguo Lin, Zhennan Chen, Huanyu You, Shibo Feng:
Kernel-based Hybrid Interpretable Transformer for High-frequency Stock Movement Prediction. ICDM 2022: 241-250 - 2021
- [j1]Yuanguo Lin, Shibo Feng, Fan Lin, Wenhua Zeng, Yong Liu, Pengcheng Wu:
Adaptive course recommendation in MOOCs. Knowl. Based Syst. 224: 107085 (2021) - [i1]Yuanguo Lin, Yong Liu, Fan Lin, Pengcheng Wu, Wenhua Zeng, Chunyan Miao:
A Survey on Reinforcement Learning for Recommender Systems. CoRR abs/2109.10665 (2021)
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