I am a postdoctoral fellow at Carnegie Mellon University, working with Prof. Tom Mitchell. I completed my Ph.D. in the Department of Computer Science at Cornell University in August 2015, advised by Prof. Claire Cardie. I received my B.S. and M.S. degrees in Computer Science from Peking University.
My research combines machine learning, statistics, and linguistics to deepen machines' understanding of natural language data. I have developed effective learning and inference models for fine-grained opinion and event extraction, which enable machines' access to richer semantic information. Before my Ph.D., I have worked on mining large-scale structured data.
Topics I am excited about:
Natural Language Processing: Information Extraction (Event Extraction, Opinion Extraction, Entity/Relation Extraction), Knowledge Graph Inference, Summarization, Sentiment Analysis, and applications of NLP to interdisciplinary areas such as Computational Social Science
Machine Learning: Probabilistic Graphical Models, Bayesian Nonparametrics, Deep Learning, Active Learning
Data Mining: Mining Sequences and Graphs