Methods for name matching, an important component to support downstream tasks such as entity linking and entity clustering, have focused on alphabetic languages, pri- marily English. In contrast, logogram lan- guages such as Chinese remain untested. We evaluate methods for name matching in Chinese, including both string matching and learning approaches. Our approach, based on a new Chinese representation for Chinese, improves both name matching and a downstream entity clustering task.