Yuanguo Lin - RankMe

23 papers A* 1Misc 1Journal 21

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A Survey on Reinforcement Learning Methods for UAV Systems. ACM Comput. Surv. Hengsheng Chen, Yuanguo Lin, Mingjian Fu, Lina Yao, Quan Z. Sheng
2026	J	`jnl`	Attack and defense techniques in large language models: A survey and new perspectives. Neural Networks Zhiyu Liao, Kang Chen, Yuanguo Lin, Kangkang Li, Yunxuan Liu, Hefeng Chen, Xingwang Huang, Yuanhui Yu
2026	J	`jnl`	Evolutionary reinforcement learning for explainable recommendation on knowledge graph. Appl. Soft Comput. Yuanguo Lin, Hong Chen, Xiuze Zhou, Wei Zhang, Huanyu You, Fan Lin, Pengcheng Wu
2025	J	`jnl`	A Comprehensive Survey on Deep Learning Techniques in Educational Data Mining. Data Sci. Eng. Yuanguo Lin, Hong Chen, Wei Xia, Fan Lin, Zongyue Wang, Yong Liu
2025	J	`jnl`	A Survey on Data Security in Large Language Models. CoRR Kang Chen, Xiuze Zhou, Yuanguo Lin, Jinhe Su, Yuanhui Yu, Li Shen, Fan Lin
2025	J	`jnl`	A Survey on Privacy Risks and Protection in Large Language Models. CoRR Kang Chen, Xiuze Zhou, Yuanguo Lin, Shibo Feng, Li Shen, Pengcheng Wu
2025	J	`jnl`	A survey on privacy risks and protection in large language models. J. King Saud Univ. Comput. Inf. Sci. Kang Chen, Xiuze Zhou, Yuanguo Lin, Shibo Feng, Li Shen, Pengcheng Wu
2025	J	`jnl`	Attack and defense techniques in large language models: A survey and new perspectives. CoRR Zhiyu Liao, Kang Chen, Yuanguo Lin, Kangkang Li, Yunxuan Liu, Hefeng Chen, Xingwang Huang, Yuanhui Yu
2025	J	`jnl`	Attention-based federated learning for multi-dimensional personalized recommendation system. J. King Saud Univ. Comput. Inf. Sci. Lining Zheng, Hong Chen, Yuanguo Lin, Li Li, Yuanhui Yu, Hefeng Chen, Kangkang Li, Runshan Hu, Shutong Xie
2025	J	`jnl`	Layer-wise contrastive learning BERT for sentence representation of GitHub. Neurocomputing Daoquan Chen, Wei Zhang, Shengyu Lu, Yuanguo Lin, Xinyu Gu, Xiuze Zhou
2024	J	`jnl`	A Survey on Reinforcement Learning for Recommender Systems. IEEE Trans. Neural Networks Learn. Syst. Yuanguo Lin, Yong Liu, Fan Lin, Lixin Zou, Pengcheng Wu, Wenhua Zeng, Huanhuan Chen, Chunyan Miao
2024	J	`jnl`	Evolutionary Reinforcement Learning: A Systematic Review and Future Directions. CoRR Yuanguo Lin, Fan Lin, Guorong Cai, Hong Chen, Lixin Zou, Pengcheng Wu
2024	J	`jnl`	Knowledge-aware reasoning with self-supervised reinforcement learning for explainable recommendation in MOOCs. Neural Comput. Appl. Yuanguo Lin, Wei Zhang, Fan Lin, Wenhua Zeng, Xiuze Zhou, Pengcheng Wu
2024	Misc	`conf`	Trend-Heuristic Reinforcement Learning Framework for News-Oriented Stock Portfolio Management. ICASSP Wei Ding, Zhennan Chen, Hanpeng Jiang, Yuanguo Lin, Fan Lin
2023	J	`jnl`	A Comprehensive Survey on Deep Learning Techniques in Educational Data Mining. CoRR Yuanguo Lin, Hong Chen, Wei Xia, Fan Lin, Pengcheng Wu, Zongyue Wang, Yong Li
2023	J	`jnl`	Multi-scale reinforced profile for personalized recommendation with deep neural networks in MOOCs. Appl. Soft Comput. Yuanguo Lin, Shibo Feng, Fan Lin, Jianbing Xiahou, Wenhua Zeng
2022	J	`jnl`	Context-aware reinforcement learning for course recommendation. Appl. Soft Comput. Yuanguo Lin, Fan Lin, Lvqing Yang, Wenhua Zeng, Yong Liu, Pengcheng Wu
2022	J	`jnl`	Federated low-rank tensor projections for sequential recommendation. Knowl. Based Syst. Li Li, Fan Lin, Jianbing Xiahou, Yuanguo Lin, Pengcheng Wu, Yong Liu
2022	J	`jnl`	Hierarchical reinforcement learning with dynamic recurrent mechanism for course recommendation. Knowl. Based Syst. Yuanguo Lin, Fan Lin, Wenhua Zeng, Jianbing Xiahou, Li Li, Pengcheng Wu, Yong Liu, Chunyan Miao
2022	A*	`conf`	Kernel-based Hybrid Interpretable Transformer for High-frequency Stock Movement Prediction. ICDM Fan Lin, Pengfei Li, Yuanguo Lin, Zhennan Chen, Huanyu You, Shibo Feng
2022	J	`jnl`	Self-Supervised Reinforcement Learning with dual-reward for knowledge-aware recommendation. Appl. Soft Comput. Wei Zhang, Yuanguo Lin, Yong Liu, Huanyu You, Pengcheng Wu, Fan Lin, Xiuze Zhou
2021	J	`jnl`	A Survey on Reinforcement Learning for Recommender Systems. CoRR Yuanguo Lin, Yong Liu, Fan Lin, Pengcheng Wu, Wenhua Zeng, Chunyan Miao
2021	J	`jnl`	Adaptive course recommendation in MOOCs. Knowl. Based Syst. Yuanguo Lin, Shibo Feng, Fan Lin, Wenhua Zeng, Yong Liu, Pengcheng Wu