Hi! I am a PhD student at the Department of Computer Science, University of Virginia. I am fortunate to work with my advisor, Prof. Vicente Ordóñez Román. Before coming to UVa, I obtained my bachelor 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.
I am graduating in 2021 and currently on the job market.
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]