📰 Recent News

• [10/2022] One paper was accepted at EMNLP 2022 Findings. Check it out!
• [10/2022] We got a paper accepted at AACL. Check it out!
• [10/2022] We will do a "Trustworthy and Responsible AI" tutorial at AAAI 2023. Stay tuned!
• [04/2022] I will join USC CS as an Assistant Professor in 2023 Fall! 🥳 Let me know if you are interested in working with me! 🎉
• [01/2022] I'm here at UMD now. Feel free to drop by or send me an email for discussions!

Publications (selected)

[Google Scholar] [Full List]

• Investigating Ensemble Methods for Model Robustness Improvement of Text Classifiers

  Jieyu Zhao, Xuezhi Wang, Yao Qin, Jilin Chen, Kai-Wei Chang. EMNLP Findings, 2022.

• On Measures of Biases and Harms in NLP

  Sunipa Dev, Emily Sheng, Jieyu Zhao, Aubrie Amstutz, Jiao Sun, Yu Hou, Mattie Sanseverino, Jiin Kim, Akihiro Nishi, Nanyun Peng, and Kai-Wei Chang. AACL, 2022.

• Ethical-Advice Taker: Do Language Models Understand Natural Language Interventions?

  Jieyu Zhao, Daniel Khashabi, Tushar Khot, Ashish Sabharwal, and Kai-Wei Chang. ACL Findings, 2021.

• Double Perturbation: On the Robustness of Robustness and Counterfactual Bias Evaluation

  Chong Zhang, Jieyu Zhao, Huan Zhang, Kai-Wei Chang, and Cho-Jui Hsieh. NAACL 2021.

• LOGAN: Local Group Bias Detection by Clustering

  Jieyu Zhao and Kai-Wei Chang. EMNLP 2020.

• Gender Bias in Multilingual Embeddings and Cross-Lingual Transfer

  Jieyu Zhao, Subhabrata Mukherjee, Saghar Hosseini, Kai-Wei Chang, Ahmed Hassan Awadallah.

  Conference of the Association for Computational Linguistics. ACL 2020.

• Mitigating Gender Bias Amplification in Distribution by Posterior Regularization

  Shengyu Jia*, Tao Meng*, Jieyu Zhao, Kai-Wei Chang.

  Conference of the Association for Computational Linguistics. ACL 2020.

• "The Boating Store Had Its Best Sail Ever": Pronunciation-attentive Contextualized Pun Recognition

  Yichao Zhou, Jyun-Yu Jiang, Jieyu Zhao, Kai-Wei Chang, Wei Wang

  Conference of the Association for Computational Linguistics. ACL 2020.

• Examining Gender Bias in Languages with Grammatical Gender

  Pei Zhou, Weijia Shi, Jieyu Zhao, Kuan-Hao Huang, Muhao Chen, Ryan Cotterell, Kai-Wei Chang.

  Conference on Empirical Methods in Natural Language Processing. EMNLP 2019.

• 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.

• Gender Bias in Contextualized Word Embeddings [video] [slides]

  Jieyu Zhao, Tianlu Wang, Mark Yatskar, Ryan Cotterell, Vicente Ordonez, Kai-Wei Chang.

  North American Chapter of the Association for Computational Linguistics. NAACL 2019.

• Learning Gender-Neutral Word Embeddings [code]

  Jieyu Zhao, Yichao Zhou, Zeyu Li, Wei Wang, Kai-Wei Chang

  Conference on Empirical Methods in Natural Language Processing. EMNLP 2018.

• Gender Bias in Coreference Resolution: Evaluation and Debiasing Methods [code] [podcast]

  Jieyu Zhao, Tianlu Wang, Mark Yatskar, Vicente Ordonez, Kai-Wei Chang.

  North American Chapter of the Association for Computational Linguistics. NAACL 2018.

• Men Also Like Shopping: Reducing Gender Bias Amplification using Corpus-level Constraints [code], [slides]

  Jieyu Zhao, Tianlu Wang, Mark Yatskar, Vicente Ordonez, Kai-Wei Chang.

  Conference on Empirical Methods in Natural Language Processing. EMNLP 2017. (Best Long Paper Award)

  Press: Wired: Machines Taught By Photos Learn a Sexist View of Women

Talks

• Tutorial: Trustworthy and Responsible AI. AAAI 2023.
• Detect and mitigate bias in NLP. AKBC KG-BIAS work shop, 2020.

Education / Experience

• Postdoc, University of Maryland, College Park. 2022.01 - 2023.06
• Ph.D., University of California, Los Angeles. 2017.9 - 2021.12
• Google Research Intern, NYC. 2021.06 - 2021.09
• AI2 Research Intern, Seattle. 2020.09 - 2020.12
• Microsoft Research Intern, Redmond. 2020.06 - 2020.09
• Microsoft Research Intern, Redmond. 2019.06 - 2019.09

Awards (selected)

• CI Fellowship, 2021
• EECS Rising Star, 2021
• Microsoft PhD Fellowship, 2020
• SoCalNLP Symposium Best Poster Award, 2018
• UCLA Graduate Division Fellowships, 2017
• EMNLP 2017 Best Long Paper Award, 2017
• Outstanding Graduate of Beijing City, 2016