刘同存

刘同存，博士，副教授，硕士研究生导师。毕业于北京邮电大学，计算机科学与技术专业，获工学博士学位，2023-2024在香港科技大学做高级访问学者。从事大模型、推荐系统、时空智能等人工智能前沿技术的基础理论和方法研究，以及AI4Science跨学科交叉融合研究。主持国家自然科学基金面上项目1项、浙江省自然科学基金项目1项；参与国家973、教育部-中国移动科研基金、浙江省联合基金重大项目等多项；主导了中国移动多个大数据与人工智能前沿技术的攻关和产品化。以第一作者/通讯作者身份在IEEE TNNLS、Applied Soft Computing、Neural Networks、IEEE IOT Journal、IEEE/ACM TCBB、KBS、EST、BiB、WWW、Neurocomputing、电子学报、通信学报等国内外顶级期刊以及WWW、AAAI等CCF A类会议上发表高水平论文30余篇，获授权发明专利10余项。

代表性论文（*表示通信作者,按照时间倒序）

1. Jiaxin Zhang, Yulong Wang,Tongcun Liu*, Lei Zhang, Wei Li，Jianxin Liao. Hyperbolic spatial-temporal network for session-based recommendation.Applied Soft Computing, 2025.

2. Kai Fang, Jiangtao Deng, Chengzu Dong, Usman Naseem, Tongcun Liu, Hailin Feng, Wei Wang. MoCFL: Mobile Cluster Federated Learning Framework for Highly Dynamic Network,WWW,2025,5065-5074.（CCF A类会议论文）

3. Tongcun Liu, Guochun Yu, Hoi Yan Kwok, Runze Xue, Ding He, Wenzhao Liang. Enhancing tree-based machine learning for chlorophyll-a prediction in coastal seawater through spatiotemporal feature integration. Marine Environmental Research, 2025.

4. Hailin Feng, Jiefan Qiu, Long Wen, Jinhong Zhang, Jiening Yang, Zhihan Lyu,Tongcun Liu*, Kai Fang*. U3UNet: An accurate and reliable segmentation model for forest fire monitoring based on UAV vision.Neural Networks, 2025.

5. Tongcun Liu, Xukai Bao, Jiaxin Zhang, Kai Fang, and Hailin Feng. Enhancing Session-based Recommendation with Multi-Interest Hyperbolic Representation Networks.IEEE Transactions on Neural Networks and Learning Systems, 2024.

6. Jijing Cai⁺,Tongcun Liu⁺, Tingting Wang, Hailin Feng, Kai Fang, Ali Kashif Bashir, Wei Wang. Multi-Source Fusion Enhanced Power-Efficient Sustainable Computing for Air Quality Monitoring.IEEE Internet of Things Journal, 2024.

7. Chenchen Ke, Hailin Feng, Quan Zou, Zhechen Zhu,Tongcun Liu*. Prediction of potential miRNA-disease associations based on a masked graph autoencoder.IEEE/ACM Transactions on Computational Biology and Bioinformatics,2024.

8. Zhicheng Liu，Yulong Wang,Tongcun Liu*, Lei Zhang, Wei Li, Jianxin Liao, Ding He. Semantic-enhanced Contrastive Learning for Session-based Recommendation.Knowledge-based System,2023.

9. Yuanbi Yi，Tongcun Liu*, Julian Merder,Chen He, Hongyan Bao, Penghui Li, Si-Liang Li,Quan Shi, Ding He*. Unraveling the Linkages between Molecular Abundance and Stable Carbon Isotope Ratio in Dissolved Organic Matter using Machine Learning.Environmental Science & Technology，2023.

10. Hailin Feng, Dongdong Jin, Jian Li, Yaner Li, Quan Zou,Tongcun Liu*. Matrix reconstruction with reliable neighbors for predicting potential MiRNA–disease associations.Briefings in Bioinformatics, 2023.

11. Tongcun Liu*, Siyuan Lou, Jianxin Liao, Hailin Feng*. Dynamic and Static Representation Learning Network for Recommendation.IEEE Transactions on Neural Networks and Learning Systems,2022.

12. Gao Lei, Wang Yulong,Liu Tongcun*, Wang Jingyu, Zhang Lei, Liao Jianxin. Question-Dirven Span Labeling model for Aspect-Opinion pair Extraction,AAAI,2021,12875-12883.（CCF A类会议）

13. Liao Jianxin,Liu Tongcun*, Yin Hongzhi, Chen Tong, Wang Jingyu, Wang Yulong. An integrated model based on deep multimodal and rank learning for point-of-interest recommendation,World Wide Web, 2021, 24:631–655.

出版教材：

1.刘同存，何丁，冯海林，余君、吕晓敏、郭洪波.《Python基础教程与项目实践》，电子工业出版社，2024.

主持项目：

1. 国家自然科学基金委，面上项目，32572047，分子指纹数据驱动的红树林土壤溶解有机碳汇潜力评估，2026-2029，主持。

2. 浙江省自然科学基金委,浙江省基础公益研究计划, LGG22F020010,基于会话流的云-端协作推荐方法研究, 2022-01至2024-12,主持，结题

3. 伟德源自英国始于1946,科研发展基金, 2019FR070,基于异构信息表示的兴趣点推荐模型研究, 2020-01至2022-12,主持，结题