科研项目
1. 2024.01-2025.12,北京市自然科学基金青年项目,面向低质量数据场景的兴趣点推荐关键技术研究,主持,在研。
2. 2022.01-2025.12,国家自然科学基金面上项目,数据驱动与规则驱动双引擎的增强型数据集成技术,主要参与人,在研。
3. 2021.01-2024.12,国家自然科学基金面上项目,基于群组生成机理的可解释群组推荐方法研究,主要参与人,在研。
4. 2024.01-2024.12,广西重点研发项目子课题,音视频流解码和智能自适应网络通信及应用业务模块开发,主要参与人,在研。
代表性研究成果
[1] Zhi Cai, Zhihao Hou, Meihui Shi*, Xing Su, Limin Guo, Zhiming Ding. Double Layer A*: an Emergency Path Planning Model Based on Map Grid and Double Layer Search Structure. IEEE Transactions on Intelligent Transportation Systems, 2024.
[2] 石美惠, 申德荣, 寇月, 聂铁铮, 于戈. 融合全局和局部特征的下一个兴趣点推荐方法. 软件学报, 2023.
[3] Zhi Cai, Qian Dong, Meihui Shi*, Xing Su, Limin Guo, Zhiming Ding. VOLTCom: A Novel Online Trajectory Compression Method Based on Vector Processing. IEEE Transactions on Intelligent Transportation Systems, 2023.
[4] Meihui Shi, Derong Shen, Yue Kou, Tiezheng Nie, Ge Yu. Multi-task Generative Adversarial Network for Missing Mobility Data Imputation. CIKM, 2022.
[5] Meihui Shi, Derong Shen, Yue Kou, Tiezheng Nie, Ge Yu. Attentional Memory Network with Correlation-based Embedding for time-aware POI recommendation. Knowledge-Based Systems, 2021.
[6] Meihui Shi, Derong Shen, Yue Kou, Tiezheng Nie, Ge Yu. Missing POI Check-in Identification Using Generative Adversarial Networks. DASFAA, 2021.
[7] Meihui Shi, Derong Shen, Yue Kou, Tiezheng Nie, Ge Yu. Next Point-of-Interest Recommendation by Sequential Feature Mining and Public Preference Awareness. Journal of Intelligent and Fuzzy Systems, 2021.
[8] 申德荣, 石美惠, 寇月, 聂铁铮. 一种融合知识图谱和时序特征的可解释兴趣点推荐方法. ZL 202110972282.1.