Liu Tongcun

Liu Tongcun

PhD, Master's supervisor

I graduated from Beijing University of Posts and Telecommunications in 2019 with a Ph.D. degree in Computer Science and Technology.I have been engaged in research and applications of cutting-edge algorithms in big data and artificial intelligence.

I am in charge of one Zhejiang Provincial Natural Science Foundation project and one Zhejiang Agriculture and Forestry University Scientific Development Fund project.

I have published more than 20 papers as the first author or corresponding author in top international journals and conferences, including IEEE Transactions on Neural Networks and Learning Systems, Knowledge-based Systems, Environmental Science & Technology, Briefings in Bioinformatics, World Wide Web, Neurocomputing, Multimedia Tools and Applications, Journal of Electronics, Journal of Communications, Journal of Chinese Information Processing, as well as CCF A and B class conferences such as AAAI, ICMR, IJCNN. I have applied for more than 20 invention patents, with more than 10 granted invention patents.

I have co-supervised several master’s students from Beijing University of Posts and Telecommunications, who are now working in well-known domestic Internet companies and enterprises such as ByteDance, Alibaba, and Tencent. Currently, I am looking for talented and enthusiastic students to join our team. All students will be arranged to have joint training with Beijing University of Posts and Telecommunications or Hong Kong University of Science and Technology, participate in related research projects, and those with outstanding research achievements can be recommended to prestigious universities for Ph.D. studies.

🔥 Research Direction

  • 🎉 Recommended Systems and User Behavior Modeling
  • 🎉 Spatial-temporal big data analysis and modeling
  • 🎉 Bioinformatics, Marine Big Data, Natural Language Processing, Computer Vision

📝 Journal Articles

  • 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. (一区Top期刊，IF=8.8)
  • 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 Environment 2023. (一区Top期刊，IF=9.8)
  • 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 (一区Top期刊，IF=11.357)
  • 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 (Top期刊，IF=13.994)
  • 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. (一区Top期刊，IF=14.255)
  • Heng Hu, Tongcun Liu, Hailinn Feng*. Fast–slow visual network for action recognition in videos.Multimedia Tools and Applications. 2022.(SCI,CCF C类)
  • 冯海林，张潇，刘同存 *. 融合评论文本特征和评分图卷积表示的推荐模型. 通信学报,2022，43(3): 164-171.(EI,一级学报)
  • 王子,王玉龙,刘同存,李炜，廖建新. 基于Rule-BertAtten的中文小说对话人物识别方法.中文信息学报,2022,36(3): 82-90
  • 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)
  • 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类)

  • 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区)

  • 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类)

  • 任开旭, 王玉龙, 刘同存 *, 李炜. 融合多维语义表示的概率矩阵分解模型.电子学报, 2019, 47(9): 1848-1854. (EI，一级学报)

  • 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)

🎖 Conference Papers

  • 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）
  • 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)
  • 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)

📖 Invention Patents

  • 廖建新，刘同存，王玉龙，王晶. 一种视频推荐方法，专利号：ZL201811085594.5
  • 廖建新，刘同存，张雷，赵贝尔. 一种基于用户行为的图书推荐方法，专利号：201210382006.0.
  • 廖建新，刘同存，郑瑶琳，王玉龙，王晶.一种基于通话的亲友圈关系识别方法，专利号：201611109181.7.
  • 赵海秀，刘同存，彭刚.一种基于位置服务的景区客流量预测方法，专利号：201610833683.8.
  • 廖建新，王玉龙，赵海秀，王晶，刘同存，杨智鸿. 一种自动识别人像图片是否闭眼的方法，专利号：201811561523.8.

💬 Ongoing Projects

  • 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
  • 浙江农林大学, 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