Tianlu Wang

Contact me

  • E-mail: tianlu[at]virginia[dot]edu
  • Address: 430 Rice Hall, Charlottesville, VA.
  • [curriculum vitae]

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.

Publications

Double-Hard Debias: Tailoring Word Embeddings for Gender Bias Mitigation
Tianlu Wang, Xi Victoria Lin, Nazneen Fatema Rajani, Bryan McCann, Vicente Ordonez, Caiming Xiong
Association for Computational Linguistics. ACL 2020. Seattle, Washington. July 2020.
[arxiv][code][bibtex]

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.
[arxiv][code][bibtex]

Gender Bias in Contextualized Word Embeddings
Jieyu Zhao, Tianlu Wang, Mark Yatskar, Ryan Cotterell, Vicente Ordonez, Kai-Wei Chang.
North American Chapter of the Association for Computational Linguistics. NAACL 2019. short.
Minneapolis, Minnesota. June 2019.
[arXiv][bibtex]

Feedback-prop: Convolutional Neural Network Inference under Partial Evidence
Tianlu Wang, Kota Yamaguchi, Vicente Ordonez
Intl. Conference on Computer Vision and Pattern Recognition. CVPR 2018. Salt Lake City, Utah. June 2018.
[arXiv][code] [bibtex]

Gender Bias in Coreference Resolution: Evaluation and Debiasing Methods
Jieyu Zhao, Tianlu Wang, Mark Yatskar, Vicente Ordonez, Kai-Wei Chang.
North American Chapter of the Association for Computational Linguistics. NAACL 2018. short.
New Orleans, Louisiana. June 2018.
[arXiv] [code] [bibtex]

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]