Zemin Liu (刘泽民)
Personal Information
Zemin Liu now is a Ph.D candidate in the College of Computer Science And Technology, Zhejiang University, P.R.China. He also worked as an intern at ADSC (Advanced Digital Sciences Center) in Singapore from Nov 2016 to Sep 2017.
Email : liuzemin AT zju DOT edu DOT cn
Note: This homepage may not be updated, but the codes for the latest papers will be timely uploaded onto Github. Please refer to my new homepage. (Some codes may be made private for a few weeks due to the demand of our patent application. In this case, you can ask me for the codes. )
Research Interest
Artificial Intelligence, Data Mining.
Social network embedding, especially semantic proximity search on heterogeneous graphs.
Educational Background
M.S. & Ph.D candidate in Computer Science and Technology 2012.09~Now
Zhejiang University ( Advisor : Prof. Jing Ying )
B.S. Degree in Software Engineering 2008.09~2012.06
Shandong University
Internship 2016.11~2017.09
Advanced Digital Sciences Center (ADSC), Singapore ( Advisor : Vincent W. Zheng [ Senior Research Scientist ] )
Services
He works as a Reviewer for IEEE Transactions on Knowledge and Data Engineering (TKDE-2018).
Publications
Zemin Liu, Vincent W. Zheng, Zhou Zhao, Zhao Li, Hongxia Yang, Minghui Wu and Jing Ying. Interactive Paths Embedding for Semantic Proximity Search on Heterogeneous Graphs. KDD 2018.
Zemin Liu, Vincent W. Zheng, Zhou Zhao, Hongxia Yang, Kevin C.-C. Chang, Minghui Wu and Jing Ying: Subgraph-augmented Path Embedding for Semantic User Search on Heterogeneous Social Network . WWW 2018.
Zemin Liu, Vincent W. Zheng, Zhou Zhao, Fanwei Zhu, Kevin Chen-Chuan Chang, Minghui Wu, Jing Ying: Distance-aware DAG Embedding for Proximity Search on Heterogeneous Graphs. AAAI 2018.
Jia Wang, Vincent W. Zheng, Zemin Liu, and Kevin C.-C. Chang. Topological Recurrent Neural Network for Diffusion Prediction. ICDM 2017.
Zemin Liu, Vincent W. Zheng, Zhou Zhao, Fanwei Zhu, Kevin Chen-Chuan Chang, Minghui Wu, Jing Ying: Semantic Proximity Search on Heterogeneous Graph by Proximity Embedding. AAAI 2017.