Kai-Wei Chang

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Cho-Jui HsiehUniversity of California, Los AngelesVerified email at cs.ucla.edu
Chih-Jen LinDistinguished professor, National Taiwan University and affiliated professor, MBZUAIVerified email at csie.ntu.edu.tw
Wasi Uddin AhmadApplied Scientist, AWS AI LabsVerified email at ucla.edu
Jieyu ZhaoAssistant Professor at USCVerified email at usc.edu
Nanyun (Violet) PengAssistant Professor, UCLAVerified email at cs.ucla.edu
Liunian Harold LiUniversity of California, Los AngelesVerified email at cs.ucla.edu
Venkatesh SaligramaProfessor, Electrical and Computer Engineering, Boston UniversityVerified email at bu.edu
Dan RothProfessor of Computer Science, University of PennsylvaniaVerified email at seas.upenn.edu
Da YinPhD Student, UCLAVerified email at cs.ucla.edu
Mark YatskarUniversity of PennsylvaniaVerified email at cis.upenn.edu
Adam Tauman KalaiMicrosoft ResearchVerified email at microsoft.com
Kuan-Hao HuangPostdoctoral Researcher, UIUCVerified email at illinois.edu
Yizhou SunAssociate Professor, Computer Science, UCLAVerified email at cs.ucla.edu
Saikat ChakrabortySenior Researcher at Microsoft ResearchVerified email at microsoft.com
Vicente OrdóñezAssociate Professor, Computer Science, Rice UniversityVerified email at rice.edu
Baishakhi RayAssociate Professor, Columbia UniversityVerified email at cs.columbia.edu
Tianlu WangFacebook AI ResearchVerified email at fb.com
Ziniu HuPostdoc at California Institute of Technology & Researcher at GoogleVerified email at caltech.edu
Wei WangLeonard Kleinrock Professor in Computer Science, UCLAVerified email at cs.ucla.edu
Emily ShengUSC Information Sciences InstituteVerified email at isi.edu

Kai-Wei Chang

Associate Professor, UCLA

Verified email at kwchang.net - Homepage

Natural Language Processing Machine Learning Structured Prediction Algorithmic Fairness


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LIBLINEAR: A library for large linear classification RE Fan, KW Chang, CJ Hsieh, XR Wang, CJ Lin the Journal of machine Learning research 9, 1871-1874, 2008	9687	2008
Man is to computer programmer as woman is to homemaker? debiasing word embeddings T Bolukbasi, KW Chang, JY Zou, V Saligrama, AT Kalai Advances in neural information processing systems, 4349-4357, 2016	3120	2016
Visualbert: A simple and performant baseline for vision and language LH Li, M Yatskar, D Yin, CJ Hsieh, KW Chang arXiv preprint arXiv:1908.03557, 2019	1414	2019
A dual coordinate descent method for large-scale linear SVM CJ Hsieh, KW Chang, CJ Lin, SS Keerthi, S Sundararajan Proceedings of the 25th international conference on Machine learning, 408-415, 2008	1182	2008
Men also like shopping: Reducing gender bias amplification using corpus-level constraints J Zhao, T Wang, M Yatskar, V Ordonez, KW Chang EMNLP, 2017	952	2017
Generating natural language adversarial examples M Alzantot, Y Sharma, A Elgohary, BJ Ho, M Srivastava, KW Chang EMNLP, 2018	869	2018
Gender bias in coreference resolution: Evaluation and debiasing methods J Zhao, T Wang, M Yatskar, V Ordonez, KW Chang NAACL, 2018	699	2018
Training and testing low-degree polynomial data mappings via linear SVM YW Chang, CJ Hsieh, KW Chang, M Ringgaard, CJ Lin The Journal of Machine Learning Research 99, 1471-1490, 2010	691	2010
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, ... ACL, 2019	493	2019
Unified pre-training for program understanding and generation WU Ahmad, S Chakraborty, B Ray, KW Chang arXiv preprint arXiv:2103.06333, 2021	427	2021
Grounded language-image pre-training LH Li, P Zhang, H Zhang, J Yang, C Li, Y Zhong, L Wang, L Yuan, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022	421	2022
The Woman Worked as a Babysitter: On Biases in Language Generation E Sheng, KW Chang, P Natarajan, N Peng Proceedings of the 2019 Conference on Empirical Methods in Natural Language, 2019	391	2019
Learning gender-neutral word embeddings J Zhao, Y Zhou, Z Li, W Wang, KW Chang EMNLP, 2018	391	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 International Conference on Computer Vision, 5310-5319, 2019	370	2019
Gpt-gnn: Generative pre-training of graph neural networks Z Hu, Y Dong, K Wang, KW Chang, Y Sun Proceedings of the 26th ACM SIGKDD International Conference on Knowledge …, 2020	365	2020
Coordinate descent method for large-scale l2-loss linear support vector machines KW Chang, CJ Hsieh, CJ Lin The Journal of Machine Learning Research 9, 1369-1398, 2008	350	2008
Gender bias in contextualized word embeddings J Zhao, T Wang, M Yatskar, R Cotterell, V Ordonez, KW Chang Proceedings of the 2019 Conference of the North American Chapter of the …, 2019	338	2019
A Transformer-based Approach for Source Code Summarization W Uddin Ahmad, S Chakraborty, B Ray, KW Chang ACL, 2020	309*	2020
A comparison of optimization methods and software for large-scale l1-regularized linear classification GX Yuan, KW Chang, CJ Hsieh, CJ Lin The Journal of Machine Learning Research 9999, 3183-3234, 2010	307	2010
How much can clip benefit vision-and-language tasks? S Shen, LH Li, H Tan, M Bansal, A Rohrbach, KW Chang, Z Yao, ... arXiv preprint arXiv:2107.06383, 2021	271	2021

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