• I am currently a postdoctoral in Gaoling school of Artificial Intellgence, Renmin University of China, under the supervision of Prof. Zhicheng Dou.
  
• I have received a Ph.D. student in the Institute of Information Engineering, Chinese Academy of Sciences, under the supervision of Associate Prof. Xiaofei Zhou and Prof. Jianlong Tan.
  

Research

My current research interests including Web Mining and Data Mining, particularly in graph representation learning, knowledge graph reasoning, recommendation system and information retrieval. I also interested in building the effective and scalable algorithms with the deep/reinforencement learning techniques.

Publications

• Qiannan Zhu, Haobo Zhang, Qing He, Zhicheng Dou. “A Gain-Tuning Dynamic Negative Sampler for Recommendation”. Accepted in the TheWebConf 2022 (WWW 2022)
• Jianhuan Zhuo, Qiannan Zhu*, Yinliang Yue, Yuhong Zhao. “A Neighborhood-Attention Fine-grained Entity Typing for Knowledge Graph Completion”. Accepted in the 15th International Conference on Web Search and Data Mining (WSDM 2022, Corresponding author)
• Jianhuan Zhuo, Qiannan Zhu*, Yinliang Yue, Yuhong Zhao, Weisi Han. “Learning Explicit User Interest Boundary for Recommendation”. Accepted in the TheWebConf 2022 (WWW 2022, Co first author)
• Ren Li, Yanan Cao, Qiannan Zhu, Guanqun Bi, Fang Fang, Yi Liu, Qian Li. “How Does Knowledge Graph Embedding Extrapolate to Unseen Data: a Semantic Evidence Views”. Accepted in the 36th AAAI Conference on Artificial Intelligence (AAAI 2022)
• Xiaofei Zhou, Lingfeng Niu, Qiannan Zhu, Xingquan Zhu, Ping Liu, Jianlong Tan, Li Guo. “Knowledge Graph Embedding by Double Limit Scoring Loss”. Accepted in IEEE Transactions on Knowledge and Data Engineering(TKDE 2021).
• Qiannan Zhu, Xiaofei Zhou, Jia Wu, Jianlong Tan, Li Guo. “A Knowledge-Aware Reasoning Network for Recommendation”. Accepted in the 34th AAAI Conference on Artificial Intelligence (AAAI 2020).
• Yue Yuan, Xiaofei Zhou, Shirui Pan, Qiannan Zhu, Zeliang Song, Li Guo. “A Relation-Specific Attention Network for Joint Entity and Relation Extraction”. Accepted in the 29th International Joint Conference on Artificial Intelligence (IJCAI 2020).
• Qiannan Zhu, Xiaofei Zhou, Jianlong Tan, Li Guo. “Knowledge Base Reasoning with Convolutional-based Recurrent Neural Networks”. Accepted in IEEE 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”. Accepted in the 28th International Joint Conference on Artificial Intelligence (IJCAI 2019).
• Qiannan Zhu, Xiaofei Zhou, Zeliang Song, Jianlong Tan, Li Guo. “DAN:Deep Attention Neural Network for News Recommendation”. Accepted in Proceedings of the 33th AAAI Conference on Artificial Intelligence (AAAI 2019).
• Xiaofei Zhou, Qiannan Zhu, Ping Liu, Li Guo. “Learning Knowledge Embeddings by Combining Limit-based Scoring Loss”. Accepted in in the International Conference on Information and Knowledge Management (CIKM 2017).
• Qiannan Zhu, Xiaofei Zhou, Peng Zhang, Yong Shi. “A Neural Translating General Hyperplane for Knowledge Graph Embedding”. Published in Journal of Computational Sciences (30)2019 (JCS 2019).
• Qiannan Zhu, Xiaofei Zhou, Yuwen Wu, Ping Liu, Li Guo. “Multilingual knowledge graph embeddings with neural networks”. Accepted in the International Conference on Data Service.
• Qiannan Zhu, Xiaofei Zhou, JianLong Tan, Ping Liu, Li Guo. “Learning knowledge graph embeddings via generalized hyperplanes”. Accepted in the International Conference on Computational Science.

Honors and Awards

• Zhu Li Yuehua Outstanding Ph.D. student Scholarship, Chinese Academy of Sciences (CAS), 2019.
• CAS Presidential Scholarship, Chinese Academy of Sciences (CAS), 2019.
• Merit Student, University of Chinese Academy of Sciences, 2018.
• IIE Presidential Scholarship, Institute of Information Engineering, CAS, 2018.
• Laboratory Excellent Student Scholarship, Institute of Information Engineering, CAS, 2018.