I am a research scientist at Facebook AI Research. I did my Ph.D. in Computer Science at the University of Virginia, where I was advised by Prof. Vicente Ordóñez Román. Before that, I received my bachelor's degree in Computer Science from Zhejiang University, China. I have a broad interest in exploring topics concerning fairness, robustness and accountability in machine learning models, especially in computer vision and natural language processing systems.
Gender Bias in Contextualized Word Embeddings
North American Chapter of the Association for Computational Linguistics. NAACL 2019. short.
Minneapolis, Minnesota. June 2019.
Men Also Like Shopping: Reducing Gender Bias Amplification using Corpus-level Constraints
Jieyu Zhao, Tianlu Wang, Mark Yatskar, Vicente Ordonez, Kai-Wei Chang. Empirical Methods in Natural Language Processing. EMNLP 2017. Copenhagen, Denmark. September 2017. [arxiv] [code] [bibtex](Best Long Paper Award!)
Name Tagging for Low-resource Incident Languages based on Expectation-driven Learning
Boliang Zhang, Xiaoman Pan, Tianlu Wang, Ashish Vaswani, Heng Ji, Kevin Knight and Daniel Marcu North American Chapter of the Association for Computational Linguistics. NAACL 2016 [pdf]