Ruobing Xie is a master candidate in the Department of Computer Science and Technology, Tsinghua University. His research interests include knowledge representation and natural language processing. His work mainly focuses on encoding multi-source crossmodal information into representation learning of knowledge graphs. He has proposed a method constructing knowledge representations from entity descriptions with neural networks that could be utilized in zero-shot scenario, which has been published in AAAI 2016. He has also considered hierarchical types of entities into knowledge representations and has achieved significantly improvements in link prediction, which has been accepted by IJCAI 2016. Moreover, He has applied for two patents for his researches on knowledge representation.