Personal Information

Affiliation: State Key Laboratory of CAD&CG, Department of Computer Science and Technology, Zhejiang University

Advisor: Prof. Xiaofei He and Prof. Deng Cai

Research Interest: Machine Learning, Data Mining and Recommender Systems.

E-mail: zy11120085 AT gmail DOT com; zhuyu_zju AT qq DOT com

Education

• 2013/09/01-present　　　   Ph.D. candidate in Computer Science, Zhejiang University

• 2016/12/16-2017/06/19　　Visiting student in the University of California, Santa Barbara. My advisor is Prof. Xifeng Yan

• 2009/09/01-2013/06/01　　B.E in Zhejiang University

Papers (Google Scholar)

• Yu Zhu, Junxiong Zhu, Jie Hou, Yongliang Li, Beidou Wang, Ziyu Guan and Deng Cai. A Brand-level Ranking System with the Adapted Attention-GRU Model[C]. (IJCAI 2018 Accepted).

• Yu Zhu, Hao Li, Yikang Liao, Beidou Wang, Ziyu Guan, Haifeng Liu, Deng Cai. What to Do Next: Modeling User Behaviors by Time-LSTM[C]. International Joint Conferences on Artificial Intelligence, 2017: 3602-3608. (IJCAI 2017) [PDF][Code]

• Yu Zhu, Ziyu Guan, Shulong Tan, Haifeng Liu, Deng Cai, Xiaofei He. Heterogeneous Hypergraph Embedding for Document Recommendation[J]. Neurocomputing 2016: 150-162. [PDF]

• Wei Qian, Cong Fu, Yu Zhu, Deng Cai and Xiaofei He. Translating Embeddings for Knowledge Graph Completion with Relation Attention Mechanism[C]. (IJCAI 2018 Accepted).

• Beidou Wang, Martin Ester, Jiajun Bu, Yu Zhu, Ziyu Guan, Deng Cai. Which to View: Personalized Prioritization for Broadcast Emails[C]. Proceedings of the 25th International Conference on World Wide Web. 2016: 1181-1190. (WWW 2016) [PDF]

• Beidou Wang, Martin Ester, Yikang Liao, Jiajun Bu, Yu Zhu, Ziyu Guan, Deng Cai. The Million Domain Challenge: Broadcast Email Prioritization by Cross-domain Recommendation[C]. Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. ACM. 2016: 1895-1904. (KDD 2016) [PDF]

• Yu Zhu, Jinhao Lin, Shibi He, Beidou Wang, Ziyu Guan, Deng Cai. Addressing the Item Cold-start Problem by Attribute-driven Active Learning[J]. Knowledge and Data Engineering, IEEE Transactions on. (TKDE Submitted).

• Beidou Wang, Xin Guo, Martin Ester, Jiajun Bu, Ziyu Guan, Bandeep Singh, Yu Zhu and Deng Cai. Rule Your Life: Smart Rule Recommendation for the Internet of Things[C]. (KDD 2018 Submitted).  

Social Services

• 2014-2017　　 Invited reviewer of IEEE TKDE, IEEE TCYB, Neurocomputing.

• 2017　　　　　Invited sub-reviewer of AAAI 2017, IJCAI 2017, SDM 2017, CIKM 2017.

Competition&Patent&Intern&Award

• 2016　　　　　My team ranked 25/2125 in the Kaggle Competition: Home Depot Product Search Relevance.

• 2016　　　　　Patent (Submitted): One Active Learning-based Recommendation Method for Addressing the Item Cold-start Problem.

• 2017　　　　　Intern: Algorithm Engineer in Alibaba.

• 2017　　　　　National Scholarship.

Technique skills

• Python, Matlab, Java.