Publications

[Google Scholar]

• A Rose by Any Other Name would not Smell as Sweet: Social Bias in Name Mistranslations
  Sandra Sandoval, Jieyu Zhao, Marine Carpuat, and Hal Daume III. EMNLP 2023.

• Are Personalized Stochastic Parrots More Dangerous? Evaluating Persona Biases in Dialogue Systems
  Yixin Wan, Jieyu Zhao, Aman Chadha, Nanyun Peng, and Kai-Wei Chang. EMNLP-Finding, 2023.

• Mind What You Measure For: A Study on Reliability of Prompt-Based Bias Measurement
  Ruyuan Zuo, and Jieyu Zhao. WiNLP 2023.

• TACO: Temporal Latent Action-Driven Contrastive Loss For Visual Reinforcement Learning

  Ruijie Zheng, Xiyao Wang, Yanchao Sun, Shuang Ma, Jieyu Zhao, Huazhe Xu, Hal Daume, Furong Huang. NeurIPS, 2023.
  [website][code]

• SODAPOP: Open-Ended Discovery of Social Biases in Social Commonsense Reasoning Models
  Haozhe An, Zongxia Li, Jieyu Zhao, Rachel Rudinger. EACL 2023.
  [code][poster][video]

• 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.

• Fairness-Aware Explainable Recommendation over Knowledge Graphs

  Zuohui Fu*, Yikun Xian*, Ruoyuan Gao, Jieyu Zhao, Qiaoying Huang, Yingqiang Ge, Shuyuan Xu, Shijie Geng, Chirag Shah, Yongfeng Zhang, Gerard de Melo. SIGIR 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.

• Towards Understanding Gender Bias in Relation Extraction

  Andrew Gaut, Tony Sun, Shirlyn Tang, Yuxin Huang, Jing Qian, Mai ElSherief, Jieyu Zhao, Diba Mirza, Elizabeth Belding, Kai-Wei Chang, and William Yang 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.

• Mitigating Gender Bias in Natural Language Processing: Literature Review

  Tony Sun, Andrew Gaut, Shirlyn Tang, Yuxin Huang, Mai ElSherief, Jieyu Zhao, Diba Mirza, Elizabeth Belding, Kai-Wei Chang, William Yang Wang.

  Association for Computational Linguistics. ACL 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]

  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

• Parallel algorithms for anomalous subgraph detection

  Jieyu Zhao, Jianxin Li, Baojian Zhou, Feng Chen, Paul Tomchik, Wuyang Ju.

  Concurrency and Computation: Practice and Experience. 2016.

• iMIG: Toward an adaptive live migration method for KVM virtual machines

  Jianxin Li, Jieyu Zhao, Yi Li, Lei Cui, Bo Li, Lu Liu, John Panneerselvam.

  The Computer Journal. 2015.

• Syncsnap: Synchronized live memory snapshots of virtual machine networks

  Bin Shi, Bo Li, Lei Cui, Jieyu Zhao, Jianxin Li.

  High Performance Computing and Communications. 2014.