臧天梓
姓名 | 臧天梓 |
性别 | 发明专利4999代写全部资料 |
学校 | 南京航天航空大学 |
部门 | 计算机科学与技术学院/人工智能学院/软件学院 |
学位 | 工学博士学位 |
学历 | 博士研究生毕业 |
职称 | 软件著作权666包写包过 |
联系方式 | 计算机科学与技术学院204室 |
邮箱 | zangtianzi@nuaa.edu.cn |
集群智慧云企服 / 知识产权申请大平台 微信客服在线:543646 急速申请 包写包过 办事快、准、稳 软件产品登记测试 软件著作权666元代写全部资料 实用新型专利1875代写全部资料 |
臧天梓 赞19 的个人主页 http://faculty.nuaa.edu.cn/zangtianzi/zh_CN/index.htm 性别:女 毕业院校:上海交通大学 学历:博士研究生毕业 学位:工学博士学位 所在单位:计算机科学与技术学院/人工智能学院/软件学院 办公地点:计算机科学与技术学院204室 电子邮箱:zangtianzi@nuaa.edu.cn 个人简介 臧天梓,2023年博士毕业于上海交通大学计算机科学与技术专业,导师朱燕民教授(被引次数:10417,h指数:52.,i10指数:195),获上海交通大学优秀毕业生称号,同年入职南京航空航天大学计算机科学与技术学院。主要研究方向为数据挖掘、深度学习,累计发表高水平学术期刊和会议论文26篇,均为SCI或EI收录论文,其中包括CCF A类期刊论文6篇,CCF B类期刊和会议论文12篇。担任IEEE TMC、AAAI、SIGIR、ECML/PKDD、ICPADS等顶级期刊和会议审稿人。 现招收计算机科学与技术、电子信息硕士研究生,欢迎对数据挖掘和深度学习感兴趣的同学报考我的研究生,也欢迎本科生参与到我的研究课题中! 个人邮箱:zangtianzi@nuaa.edu.cn 办公地点:计算机科学与技术学院204室 部分代表性论文: 1. Tianzi Zang, Yanmin Zhu, Haobing Liu, Ruohan Zhang, Jiadi Yu: “A Survey on Cross-domain Recommendation: Taxonomies, Methods, and Future Directions”. ACM TOIS (2023) (CCF A) 2. Tianzi Zang, Yanmin Zhu, Ruohan Zhang, Chunyang Wang, Ke Wang, Jiadi Yu: "Contrastive Multi-View Interest Learning for Cross-Domain Sequential Recommendation". ACM TOIS (2023) (CCF A) 3. Ke Wang, Yanmin Zhu, Tianzi Zang, Chunyang Wang, Kuan Liu, Peibo Ma: “Multi-aspect Graph Contrastive Learning for Review-enhanced Recommendation”. ACM TOIS (2023) (CCF A) 4. Mengyuan Jing, Yanmin Zhu, Tianzi Zang, Ke Wang: “Contrastive Self-supervised Learning in Recommender Systems: A Survey”. ACM TOIS (2023) (CCF A) 5. Ke Wang, Yanmin Zhu, Tianzi Zang, Chunyang Wang, Mengyuan Jing: "Review-Enhanced Hierarchical Contrastive Learning for Recommendation". AAAI (2024) (CCF A) 6. Xian Zhou, Yanyan Shen, Linpeng Huang, Tianzi Zang, Yanmin Zhu: “Multi-Level Attention Networks for Multi-Step Citywide Passenger Demands Prediction. IEEE TKDE (2021) (CCF A) 7. Tianzi Zang, Yanmin Zhu, Yanan Xu, Jiadi Yu: “Jointly Modeling Spatio-Temporal Dependencies and Daily Flow Correlations for Crowd Flow Prediction.” ACM TKDD (2021) (CCF B) 8. Tianzi Zang, Yanmin Zhu, Chen Gong, Haobing Liu, Bo Li: “Modeling Dynamic Social Behaviors with Time-Evolving Graphs for User Behavior Predictions.” DASFAA (2021) (CCF B) 9. Tianzi Zang, Yanmin Zhu, Jing Zhu, Yanan Xu, Haobing Liu: “MPAN: Multi-parallel attention network for session-based recommendation.” Neurocomputing (2022) (中科院二区) 10. Tianzi Zang, Yanmin Zhu, Xinrui Huang, Xinchen Yang, Qiuxia Chen, Jiadi Yu, Feilong Tang: “Enhancing length of stay prediction by learning similarity-aware representations for hospitalized patients.” Artificial Intelligence in Medicine (2023) (CCF C) 11. Ke Wang, Yanmin Zhu, Haobing Liu, Tianzi Zang, Chunyang Wang: “Learning Aspect-Aware High-Order Representations from Ratings and Reviews for Recommendation.” ACM TKDD (2023) (CCF B) 12. Mengyuan Jing, Yanmin Zhu, Yanan Xu, Haobing Liu, Tianzi Zang, Chunyang Wang, Jiadi Yu: “Learning Shared Representations for Recommendation with Dynamic Heterogeneous Graph Convolutional Networks.” ACM TKDD (2023) (CCF B) 13. Chunyang Wang, Yanmin Zhu, Haobing Liu, Tianzi Zang, Ke Wang, Jiadi Yu: “Multifaceted Relation-aware Meta-learning with Dual Customization for User Cold-start Recommendation.” ACM TKDD (2023) (CCF B) 14. Ruohan Zhang, Tianzi Zang, Yanmin Zhu, Chunyang Wang, Ke Wang, Jiadi Yu: “Disentangled Contrastive Learning for Cross-Domain Recommendation.” DASFAA (2023) (CCF B) 15. Haobing Liu, Yanmin Zhu, Tianzi Zang, Yanan Xu, Jiadi Yu, Feilong Tang: “Jointly Modeling Heterogeneous Student Behaviors and Interactions among Multiple Prediction Tasks.” ACM TKDD (2022) (CCF B) 16. Ke Wang, Yanmin Zhu, Haobing Liu, Tianzi Zang, Chunyang Wang, Kuan Liu: “Inter- and Intra-Domain Relation-Aware Heterogeneous Graph Convolutional Networks for Cross-Domain Recommendation.” DASFAA (2022) (CCF B) 17. Mengyuan Jing, Yanmin Zhu, Tianzi Zang, Jiadi Yu, Feilong Tang: “Graph Contrastive Learning with Adaptive Augmentation for Recommendation.” ECML/PKDD (2022) (CCF B) 18. Chunyang Wang, Yanmin Zhu, Haobing Liu, Wenze Ma, Tianzi Zang, Jiadi Yu: “Enhancing User Interest Modeling with Knowledge-Enriched Itemsets for Sequential Recommendation.” CIKM (2021) (CCF B) 19. Chunyang Wang, Yanmin Zhu, Tianzi Zang, Haobing Liu, Jiadi Yu: “Modeling Inter-station Relationships with Attentive Temporal Graph Convolutional Network for Air Quality Prediction.” WSDM (2021) (CCF B) 20. Haobing Liu, Yanmin Zhu, Tianzi Zang, Jiadi Yu, Haibin Cai: “Jointly Modeling Individual Student Behaviors and Social Influence for Prediction Tasks.” CIKM (2020) (CCF B) 教育经历 2018.9 -- 2023.6 上海交通大学 博士研究生毕业 2014.9 -- 2018.6 西北工业大学 大学本科毕业 研究方向 [1]神经网络、推荐系统 [2]城市计算,时空数据挖掘 [3]人工智能、数据挖掘、深度学习 |