Jieyu Zhao

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Kai-Wei ChangAssociate Professor, UCLAVerified email at kwchang.net
Tianlu WangFacebook AI ResearchVerified email at fb.com
Vicente OrdóñezAssociate Professor, Computer Science, Rice UniversityVerified email at rice.edu
Mark YatskarUniversity of PennsylvaniaVerified email at cis.upenn.edu
Mai ElSheriefAssistant Professor, Northeastern UniversityVerified email at northeastern.edu
William Yang WangMellichamp Chair Professor, University of California, Santa BarbaraVerified email at cs.ucsb.edu
Ryan CotterellETH ZürichVerified email at inf.ethz.ch
Yichao ZhouGoogle DeepmindVerified email at google.com
Wei WangLeonard Kleinrock Professor in Computer Science, UCLAVerified email at cs.ucla.edu
Zeyu LiUCLAVerified email at cs.ucla.edu
Kuan-Hao HuangAssistant Professor, Texas A&M UniversityVerified email at tamu.edu
Pei ZhouSenior Applied Scientist, MicrosoftVerified email at microsoft.com
Muhao ChenAssistant Professor of Computer Science, University of California, DavisVerified email at ucdavis.edu
Zuohui FuResearch Scientist, MetaVerified email at fb.com
Saghar HosseiniSenior Research Scientist at MetaVerified email at meta.com
Subhabrata MukherjeeChief Scientist, Hippocratic AIVerified email at hippocraticai.com
Ahmed H. AwadallahMicrosoft ResearchVerified email at microsoft.com
Jianxin LiSchool of Computer Science & Engineering, Beihang UniversityVerified email at act.buaa.edu.cn
TAO MENGPh.D. student in Computer Science, University of California, Los AngelesVerified email at g.ucla.edu
John PanneerselvamUniversity of LeicesterVerified email at leicester.ac.uk

Jieyu Zhao

Assistant Professor at USC

Verified email at usc.edu - Homepage

Natural Language Processing Machine Learning Fairness in AI


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
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	1146	2017
Gender Bias in Coreference Resolution: Evaluation and Debiasing Methods J Zhao, T Wang, M Yatskar, V Ordonez, KW Chang NAACL 2018, 2018	959	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	663	2019
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 vision …, 2019	487	2019
Learning Gender-Neutral Word Embeddings J Zhao, Y Zhou, Z Li, W Wang, KW Chang EMNLP 2018, 2018	476	2018
Gender Bias in Contextualized Word Embeddings J Zhao, T Wang, M Yatskar, R Cotterell, V Ordonez, KW Chang NAACL 2019, https://arxiv.org/pdf/1904.03310.pdf, 2019	436	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 and …, 2020	238	2020
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	141	2024
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	117	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	88	2020
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	65	2021
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	53	2019
Mitigating gender bias amplification in distribution by posterior regularization S Jia, T Meng, J Zhao, KW Chang arXiv preprint arXiv:2005.06251, 2020	49	2020
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	32	2021
: Temporal Latent Action-Driven Contrastive Loss for Visual Reinforcement Learning R Zheng, X Wang, Y Sun, S Ma, J Zhao, H Xu, H Daumé III, F Huang Advances in Neural Information Processing Systems 36, 2024	26	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	18	2015
SODAPOP: Open-ended discovery of social biases in social commonsense reasoning models H An, Z Li, J Zhao, R Rudinger arXiv preprint arXiv:2210.07269, 2022	17	2022
LOGAN: Local group bias detection by clustering J Zhao, KW Chang arXiv preprint arXiv:2010.02867, 2020	17	2020
What do bias measures measure S Dev, E Sheng, J Zhao, J Sun, Y Hou, M Sanseverino, J Kim, N Peng, ... CoRR, abs/2108.03362, 2021	16	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	15	2020

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