余深宝，博士毕业于厦门大学自动化系。研究方向为机器学习和概率图模型，主要应用领域为智能教育、推荐系统以及社交网络。相关的研究成果发表在包括人工智能会议Association for the Advancement of Artificial Intelligence（AAAI）和数据挖掘期刊IEEE Transactions on Knowledge and Data Engineering（TKDE）等多个国际会议/期刊上。

1. 2010.09-2014.06, 沈阳建筑大学, 自动化专业, 工学学士

2. 2014.09-2017.06, 厦门大学, 模式识别与智能系统, 工学硕士

3. 2017.07-2019.05, 华为技术有限公司杭州研究所, 云计算工程师

4. 2019.09-2023.12, 厦门大学, 控制科学与工程, 工学博士

5. 2022.12-2023.06, 新加坡国立大学, 工业系统与工程管理系, 联合培养博士研究生

1. 国家自然科学基金-重点项目：类人任务规划、推理及其验证系统的研究和应用（61836005）, 参与, 2019.1-2023.12

2. 国家自然科学基金-面上项目：针对未知的未知竞争对手的多智能体规划模型研究（62176225）, 参与, 2022.1-2025.12

3. 深圳市基础研究专项（自然科学基金面上项目）：复杂高维数据的交互式聚类算法研究, 参与, 2020.6-2023.5

4. 企业委托课题：基于图像处理和深度学习的中小学自动阅卷系统的关键技术, 参与, 2020.4-2021.12

1. Shenbao Yu, Yifeng Zeng, Fan Yang, and Yinghui Pan. Causal-Driven Skill Prerequisite Structure Discovery. In Proceedings of the 38th Annual AAAI Conference on Artificial Intelligence, 38(18), pp.20604-20612, 2024. (CCF A 类会议)

2. Shenbao Yu, Yifeng Zeng, Fan Yang, and Yinghui Pan. SNMCF: A Scalable Non-Negative Matrix Co-Factorization for Student Cognitive Modeling. IEEE Transactions on Knowledge and Data Engineering, 36(7):3486-3500, 2024. (CCF A 类期刊, JCR 一区)

3. Shenbao Yu, Zhehao Zhou, Bilian Chen, and Langcai Cao. Generalized Temporal Similarity-based Nonnegative Tensor Decomposition for Modeling Transition Matrix of Dynamic Collaborative Filtering. Information Sciences, 632:340-357, 2023. (CCF B 类期刊, JCR 一区)

4. Shenbao Yu, Yifeng Zeng, Yinghui Pan, and Bilian Chen. Discovering A Cohesive Football Team through Players’ Attributed Collaboration Networks. Applied Intelligence, 53(11):13506-13526, 2022. (CCF C 类期刊, JCR 二区)

5. Qinyun Gao, Shenbao Yu, Bilian Chen, and Langcai Cao. CA-PDBPR: Category-Aware Privacy Preserving POI Recommendation Using Decentralized Bayesian Personalized Ranking. Applied Intelligence, 1-19, 2024. (CCF C 类期刊, JCR 二区)

6. Jiewen Guan, Bilian Chen, and Shenbao Yu. A Hybrid Similarity Model for Mitigating the Cold-Start Problem of Collaborative Filtering in Sparse Data. Expert Systems with Applications, 249:123700, 2024. (CCF C 类期刊, JCR 一区)

7. Zhijian Zhuo, Bilian Chen, Shenbao Yu, and Langcai Cao. Overlapping Community Detection Using Expansion with Contraction. Neurocomputing, 126989, 2024. (CCF C 类期刊, JCR 二区)

8. Tianyang Yan, Langcai Cao, Peihua Chai, and Shenbao Yu. Improving Collaborative Filtering with SNE-GCN: A Second-order Neighbor Enhanced Graph Convolutional Network. Multimedia Systems, 30:160, 2024. (CCF C 类期刊, JCR 一区)

9. Peihua Chai, Bilian Chen, Yifeng Zeng, and Shenbao Yu. A Substructure Transfer Reinforcement Learning Method based on Metric Learning. Neurocomputing, 128071, 2024. (CCF C 类期刊, JCR 二区)

10. Fangyu Li, Hong Peng, Shenbao Yu, and Fan Yang. Effective and Efficient Training for Sequential Recommendation Using Cumulative Cross-Entropy Loss. 2023 4th International Conference on Machine Learning and Computer Application, pp.786-792, 2023.