Tianlu Wang

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.

Preprints

OPT: Open Pre-trained Transformer Language Models
Susan Zhang, Stephen Roller, Naman Goyal, Mikel Artetxe, Moya Chen, Shuohui Chen, Christopher Dewan, Mona Diab, Xian Li, Xi Victoria Lin, Todor Mihaylov, Myle Ott, Sam Shleifer, Kurt Shuster, Daniel Simig, Punit Singh Koura, Anjali Sridhar, Tianlu Wang, Luke Zettlemoyer
[arxiv] [bibtex]

Few-shot Learning with Multilingual Language Models
Xi Victoria Lin, Todor Mihaylov, Mikel Artetxe, Tianlu Wang, Shuohui Chen, Daniel Simig, Myle Ott, Naman Goyal, Shruti Bhosale, Jingfei Du, Ramakanth Pasunuru, Sam Shleifer, Punit Singh Koura, Vishrav Chaudhary, Brian O'Horo, Jeff Wang, Luke Zettlemoyer, Zornitsa Kozareva, Mona Diab, Veselin Stoyanov, Xian Li
[arxiv] [bibtex]

Publications

Identifying and mitigating spurious correlations for improving robustness in NLP models
Tianlu Wang, Rohit Sridhar, Diyi Yang, Xuezhi Wang
North American Chapter of the Association for Computational Linguistics. NAACL 2022 Findings. Seattle, Washington + Online. July. 2022
[arxiv] [code] [bibtex]

VisualNews : Benchmark and Challenges in Entity-aware Image Captioning
Fuxiao Liu, Yinghan Wang, Tianlu Wang, Vicente Ordonez
Empirical Methods in Natural Language Processing. EMNLP 2021. Punta Cana, Dominican Republic. Nov. 2021
[arxiv] [code] [bibtex]

General Multi-label Image Classification with Transformers
Jack Lanchantin, Tianlu Wang, Vicente Ordonez, Yanjun Qi.
Intl. Conference on Computer Vision and Pattern Recognition. CVPR 2021. Nashville, TN. June 2021.
[arxiv] [bibtex]

CAT-Gen: Improving Robustness in NLP Models via Controlled Adversarial Text Generation
Tianlu Wang, Xuezhi Wang, Yao Qin, Ben Packer, Kang Lee, Jilin Chen, Alex Beutel, Ed Chi
Empirical Methods in Natural Language Processing. EMNLP 2020. short. Virtual Conference. Nov. 2020
[arxiv] [bibtex]

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. Virtual Conference. July 2020.
[arxiv][code][bibtex][debiased embeddings]

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]