Synopsis of Research in Shanghai (September 14 - December 11)：
Machine Learning has been widely used in many fields as a powerful tool in data processing and analytics. To train a machine learning model, especially for supervised learning, a large amount of labeled data is demanded. While data labeling is time-consuming and labor-intensive, the lack of labeled data has been a big obstacle for the adoption of machine learning techniques. This poses opportunities for computer science researchers to provide algorithms and tools to assist user labeling data efficiently. Zhang’s research is intended to design algorithms and tools to help users label text data in a more efficient and precise way with active guidance from both machine learning and visualization techniques.