研究方向为知识图谱,推荐系统,信息检索和数据挖掘。主要研究内容为针对上述研究点进行泛化分析及为它们设计高效、可伸缩算法。
Qiannan Zhu, Xiaofei Zhou, Jia Wu, Jianlong Tan, Li Guo. “A Knowledge-Aware Reasoning Network for Recommendation”, AAAI2020
Qiannan Zhu, Xiaofei Zhou, Jianlong Tan, Li Guo. “Knowledge Base Reasoning with Convolutional-based Recurrent Neural Networks”,Transactions on Knowledge and Data Engineering (TKDE 2019)
. Qiannan Zhu, Xiaofei Zhou, Jia Wu, Jianlong Tan, Li Guo. “Neighborhood-Aware Attentional Representation for Multilingual Knowledge Graphs”, IJCAI 2019.
Qiannan Zhu, Xiaofei Zhou, Zeliang Song, Jianlong Tan, Li Guo. “DAN:Deep Attention Neural Network for News Recommendation”, AAAI2019
Xiaofei Zhou, Qiannan Zhu, Ping Liu, Li Guo. “Learning Knowledge Embeddings by Combining Limit-based Scoring Loss”,CIKM 2017.