详细资料

教育经历

2015年-2020年，中国科学院大学信息工程研究所，硕博连读生，导师：谭建龙 教授，指导老师：周晓飞教授

2011年-2015年，河南大学计算机与信息工程学院，本科生

工作经历

2019年9月-2020年2月，阿里巴巴，高级算法工程师

2020年3月-至今，中国人民大学高瓴人工智能学院博士后，合作导师：窦志成 教授

研究方向

知识图谱表示与推理、推荐系统、数据挖掘、信息检索

科研成果

(1) Qiannan Zhu, Xiaofei Zhou*, Jia Wu, Jianlong Tan, Li Guo: A Knowledge Aware Reasoning Network for Recommendation. In AAAI Conference on Artificial Intelligence, 2020.

(2) Qiannan Zhu, Xiaofei Zhou*, Jianlong Tan, Li Guo: Knowledge Base Reasoning with Convolutional-based Recurrent Neural Networks. In IEEE Transactions on Knowledge and Data Engineering, 2019.

(3) Qiannan Zhu, Xiaofei Zhou*, Jia Wu, Jianlong Tan, Li Guo: Neighborhood Aware Attentional Representation for Multilingual Knowledge Graphs. In International Joint Conference on Artificial Intelligence, 2019.

(4) Qiannan Zhu, Xiaofei Zhou*, Zeliang Song, Jianlong Tan, Li Guo: DAN :Deep Attention Neural Network for News Recommendation. In AAAI Conference on Artificial Intelligence, 2019.

(5) Xiaofei Zhou, Qiannan Zhu, Ping Liu, Li Guo*: Learning Knowledge Embeddings by Combining Limit-based Scoring Loss. In ACM Conference on Information and Knowledge Management, 2017.

(6)Xiaofei Zhou, Lingfeng Niu, Qiannan Zhu, Xingquan Zhu, Jianlong Tan, Li Guo: Knowledge Graph Embedding by Double Limit Scoring Loss.In IEEE Transactions on Knowledge and Data Engineering, 2020.

(7)Qiannan Zhu, Xiaofei Zhou, Peng Zhang, Yong Shi. A Neural Translating General Hyperplane for Knowledge Graph Embedding. Journal of Computational Science 2019.

(8)Qiannan Zhu, Xiaofei Zhou, Jianlong Tan, Ping Liu, Li Guo. Learning Knowledge Graph Embeddings via Generalized Hyperplanes. International Conference on Computational Science 2018.

Yuan Yue, Xiaofei Zhou, Shirui Pan, Qiannan Zhu, Zeliang Song, Li Guo. A Relation-Specific Attention Network for Joint Entity and Relation Extraction. In International Joint Conference on Artificial Intelligence, 2020.

(9)Qiannan Zhu, Xiaofei Zhou, Yuwen Wu, Ping Liu, Li Guo. Multilingual Knowledge Graph Embeddings with Neural Networks. International Conference on Data Science 2018.

科研项目

国家重点研发计划子课题：’**图谱演化预测**‘，参与

荣誉获奖

中国科学院大学朱李月华优秀博士生

中国科学院大学院长奖学金

中国科学院大学信息工程研究所所长奖