Hi! I am a PhD student at the Department of Computer Science, University of Virginia, from 16Fall. 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.
Balanced Datasets Are Not Enough: Estimating and Mitigating Gender Bias in Deep Image Representations
Tianlu Wang, Jieyu Zhao, Mark Yatskar, Kai-Wei Chang, Vicente Ordonez. International Conference on Computer Vision. ICCV 2019. Seoul, South Korea. October 2019.
Gender Bias in Contextualized Word Embeddings
North American Chapter of the Association for Computational Linguistics. NAACL 2019. short.
Minneapolis, Minnesota. June 2019. (~Oral presentation)
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](~Oral presentation + 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]