劉同存

劉同存，男，2019年畢業于北京郵電大學，計算機科學與技術專業，獲工學博士學位。從事人工智能基礎理論研究，及其在多領域行業中的應用。主持浙江省自然科學基金、伟德bevictor中文版科學發展基金項目，以及多個企業委托研發項目。以第一作者和通訊作者身份在國際頂級期刊和會議發表論文20餘篇，包括IEEE Transactions on Neural Networks and Learning Systems、Knowledge-based System、Environmental Science & Technology、Briefings in Bioinformatics、World Wide Web、Neurocomputing、Multimedia Tools and Applications、電子學報、通信學報、中文信息學報等國内外頂級期刊，以及AAAI、ICMR、IJCNN等CCF A類和B類會議。申請發明專利20餘項，其中獲授權發明專利10餘項。擔任IEEE/ACM Transactions on Computational Biology and Bioinformatics、IEEE Access、The Journal of Supercomputing、Neural Computing and Applications、計算機學報、電子學報等期刊審稿人，CCF大數據、人工智能與模式識别專委委員。

已發發表的期刊論文（*表示通信作者,按照時間倒序）

1. Zhicheng Liu，Yulong Wang,Tongcun Liu*, Lei Zhang, Wei Li, Jianxin Liao, Ding He. Semantic-enhanced Contrastive Learning for Session-based Recommendation.Knowledge-based System2023. (一區Top期刊，IF=8.8)

2. Wenzhao Liang，Tongcun Liu, Yuntao Wang, Jiu Jimmy Jiao, Jianping Gan, Ding He*. Spatiotemporal-aware machine learning approaches for dissolved oxygen prediction in coastal waters.Science of The Total Environment2023. (一區Top期刊，IF=9.8)

3. 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 & Technology2023 (一區Top期刊，IF=11.357)

4. 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 Bioinformatics2023 (Top期刊，IF=13.994)

5. Tongcun Liu*, Siyuan Lou, Jianxin Liao, Hailin Feng*. Dynamic and Static Representation Learning Network for Recommendation.IEEE Transactions on Neural Networks and Learning Systems2022. (一區Top期刊，IF=14.255)

6. Heng Hu,Tongcun Liu, Hailinn Feng*. Fast–slow visual network for action recognition in videos.Multimedia Tools and Applications. 2022.(SCI,CCF C類)

7. 馮海林，張潇，劉同存*.融合評論文本特征和評分圖卷積表示的推薦模型.通信學報,2022，43(3): 164-171.(EI,一級學報)

8. 王子,王玉龍,劉同存,李炜，廖建新.基于Rule-BertAtten的中文小說對話人物識别方法.中文信息學報,2022,36(3): 82-90

9. 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.(SCI, CCF B)

10. Liu Tongcun*; Liu Haoxin; Wang Yulong; Exploiting local spatio-temporal characteristics for effective video understanding.Multimedia Tools and Applications, 2021, 80:31821-31836. (SCI,CCF C類)

11. Liu Tongcun, Liao Jianxin*, Wu Zhigen, Wang Yulong, Wang Jingyu*. Exploiting Geographical-Temporal Awareness Attention for Next Point-of-Interest Recommendation.Neurocomputing, 2020, 400:227-239.(SCI,中科院2區)

12. Liu Tongcun*, Liao Jianxin, Wang Yulong, Wang Jingyu, Qiqi. Collaborative tensor–topic factorization model for personalized activity recommendation.Multimedia Tools and Applications, 2019,78(12): 16923–16943. (SCI,CCF C類)

13. 任開旭, 王玉龍,劉同存*,李炜.融合多維語義表示的概率矩陣分解模型.電子學報, 2019, 47(9): 1848-1854. (EI，一級學報)

14. Liao Jianxin,Liu Tongcun*, Liu Meilian, Wang Jingyu, Wang Yulong, Sun Haifeng. Multi-Context Integrated Deep Neural Network Model for Next Location Prediction.IEEE Access, 2018, 6: 21980–21990. (SCI)

已發發表的會議論文（*表示通信作者，按時間倒序）

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

2. Lou Siyuan, Wang Yulong,Liu Tongcun*, Liao Jianxin. UMDSF:Unified Model With Dynamic-Static Features for Personalized Recommendation,IJCNN’2021,online,2021,1-8. (CCF C)

3. Liu Tongcun, Liao Jianxin*, Wu Zhigen, Wang Yulong, Wang Jingyu*. A Geographical-Temporal Awareness Hierarchical Attention Network for Next Point-of-Interest Recommendation,ICMR’2019, Ottawa, Canada: ACM, 2019, 7-15. (CCF B)