Jieyu Zhao
Jieyu Zhao
Assistant Professor at USC
Verified email at - Homepage
Cited by
Cited by
Men also like shopping: Reducing gender bias amplification using corpus-level constraints
J Zhao, T Wang, M Yatskar, V Ordonez, KW Chang
EMNLP 2017, 2017
Gender Bias in Coreference Resolution: Evaluation and Debiasing Methods
J Zhao, T Wang, M Yatskar, V Ordonez, KW Chang
NAACL 2018, 2018
Mitigating gender bias in natural language processing: Literature review
T Sun, A Gaut, S Tang, Y Huang, M ElSherief, J Zhao, D Mirza, E Belding, ...
arXiv preprint arXiv:1906.08976, 2019
Learning Gender-Neutral Word Embeddings
J Zhao, Y Zhou, Z Li, W Wang, KW Chang
EMNLP 2018, 2018
Balanced datasets are not enough: Estimating and mitigating gender bias in deep image representations
T Wang, J Zhao, M Yatskar, KW Chang, V Ordonez
Proceedings of the IEEE/CVF international conference on computer visioná…, 2019
Gender Bias in Contextualized Word Embeddings
J Zhao, T Wang, M Yatskar, R Cotterell, V Ordonez, KW Chang
NAACL 2019,, 2019
Fairness-aware explainable recommendation over knowledge graphs
Z Fu, Y Xian, R Gao, J Zhao, Q Huang, Y Ge, S Xu, S Geng, C Shah, ...
Proceedings of the 43rd International ACM SIGIR Conference on Research andá…, 2020
Examining gender bias in languages with grammatical gender
P Zhou, W Shi, J Zhao, KH Huang, M Chen, R Cotterell, KW Chang
arXiv preprint arXiv:1909.02224, 2019
Gender bias in multilingual embeddings and cross-lingual transfer
J Zhao, S Mukherjee, S Hosseini, KW Chang, AH Awadallah
arXiv preprint arXiv:2005.00699, 2020
Mitigating gender bias amplification in distribution by posterior regularization
S Jia, T Meng, J Zhao, KW Chang
arXiv preprint arXiv:2005.06251, 2020
Towards understanding gender bias in relation extraction
A Gaut, T Sun, S Tang, Y Huang, J Qian, M ElSherief, J Zhao, D Mirza, ...
arXiv preprint arXiv:1911.03642, 2019
On measures of biases and harms in NLP
S Dev, E Sheng, J Zhao, A Amstutz, J Sun, Y Hou, M Sanseverino, J Kim, ...
arXiv preprint arXiv:2108.03362, 2021
Ethical-advice taker: Do language models understand natural language interventions?
J Zhao, D Khashabi, T Khot, A Sabharwal, KW Chang
arXiv preprint arXiv:2106.01465, 2021
Trustllm: Trustworthiness in large language models
L Sun, Y Huang, H Wang, S Wu, Q Zhang, C Gao, Y Huang, W Lyu, ...
arXiv preprint arXiv:2401.05561, 2024
iMIG: Toward an adaptive live migration method for KVM virtual machines
J Li, J Zhao, Y Li, L Cui, B Li, L Liu, J Panneerselvam
The Computer Journal 58 (6), 1227-1242, 2015
LOGAN: Local group bias detection by clustering
J Zhao, KW Chang
arXiv preprint arXiv:2010.02867, 2020
What do bias measures measure?
S Dev, E Sheng, J Zhao, J Sun, Y Hou, M Sanseverino, J Kim, N Peng, ...
arXiv e-prints, arXiv: 2108.03362, 2021
Double perturbation: On the robustness of robustness and counterfactual bias evaluation
C Zhang, J Zhao, H Zhang, KW Chang, CJ Hsieh
arXiv preprint arXiv:2104.05232, 2021
" The Boating Store Had Its Best Sail Ever": Pronunciation-attentive Contextualized Pun Recognition
Y Zhou, JY Jiang, J Zhao, KW Chang, W Wang
arXiv preprint arXiv:2004.14457, 2020
Syncsnap: Synchronized live memory snapshots of virtual machine networks
B Shi, B Li, L Cui, J Zhao, J Li
High Performance Computing and Communications, 2014 IEEE 6th Intl Symp oná…, 2014
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