I am a Research Specialist at the Research Center for Intelligent Computing Software, Research Institute for Intelligent Computing, Zhejiang Lab (之江实验室). Previously, I was a Senior Research Scientist at Meta where I worked at the Messaging Product ML Team to improve user engagement on Messenger and Instagram.
I obtained my Master's and Ph.D. degrees in 2017 and 2019 respectively from the Department of Computer Science, University of Maryland, College Park. During my Ph.D., I was affiliated with the Computational Linguistics and Information Processing (CLIP) Lab which is a part of the University of Maryland Institute for Advanced Computer Studies (UMIACS). I was fortunate to be co-advised by Prof. Philip Resnik and Prof. Jordan Boyd-Graber. I worked on topic models, Bayesian methods, computational linguistics, and computational social science.
I earned my Bachelor's degree in 2013 from the Department of Computer Science and Technology, Tsinghua University. In Summer 2012, I was an undergraduate visiting researcher at the Department of Computer Science, Stanford University.
A Multilingual Topic Model for Learning Weighted Topic Links Across Corpora with Low Comparability
Weiwei Yang, Jordan Boyd-Graber, and Philip Resnik
Empirical Methods in Natural Language Processing and International Joint Conference on Natural Language Processing (EMNLP-IJCNLP), 2019, Hong Kong SAR, China
[PDF] [Supplement] [Video] [Slides] [Code] [Bibtex]
@inproceedings{Yang:Boyd-Graber:Resnik-2019,
Title = {A Multilingual Topic Model for Learning Weighted Topic Links Across Incomparable Corpora},
Author = {Weiwei Yang and Jordan Boyd-Graber and Philip Resnik},
Booktitle = {Empirical Methods in Natural Language Processing},
Year = {2019},
Location = {Hong Kong, China},
}
Adapting Topic Models using Lexical Associations with Tree Priors
Weiwei Yang, Jordan Boyd-Graber, and Philip Resnik
Empirical Methods in Natural Language Processing (EMNLP), 2017, Copenhagen, Denmark
[PDF] [Poster] [Code] [Bibtex]
@inproceedings{Yang:Boyd-Graber:Resnik-2017,
Title = {Adapting Topic Models using Lexical Associations with Tree Priors},
Author = {Weiwei Yang and Jordan Boyd-Graber and Philip Resnik},
Booktitle = {Empirical Methods in Natural Language Processing},
Year = {2017},
Location = {Copenhagen, Denmark},
}
Uncovering Topic Dynamics of Social Media and News: The Case of Ferguson
Lingzi Hong, Weiwei Yang, Philip Resnik, and Vanessa Frias-Martinez
International Conference on Social Informatics (SocInfo), 2016, Bellevue, WA, USA
[PDF] [Code] [Bibtex]
@inproceedings{Hong:Yang:Resnik:Frias-Martinez-2016,
Title = {Topic Dynamics of Social Media and News: The Case of Ferguson},
Author = {Lingzi Hong and Weiwei Yang and Philip Resnik and Vanessa Frias-Martinez},
Booktitle = {International Conference on Social Informatics},
Year = {2016},
Location = {Bellevue, WA, USA},
}
A Discriminative Topic Model using Document Network Structure
Weiwei Yang, Jordan Boyd-Graber, and Philip Resnik
Association for Computational Linguistics (ACL), 2016, Berlin, Germany
[PDF] [Supplement] [Slides] [Code] [Bibtex]
@inproceedings{Yang:Boyd-Graber:Resnik-2016,
Title = {A Discriminative Topic Model using Document Network Structure},
Author = {Weiwei Yang and Jordan Boyd-Graber and Philip Resnik},
Booktitle = {Association for Computational Linguistics},
Year = {2016},
Location = {Berlin, Germany},
}
Birds of a Feather Linked Together: A Discriminative Topic Model using Link-based Priors
Weiwei Yang, Jordan Boyd-Graber, and Philip Resnik
Empirical Methods in Natural Language Processing (EMNLP), 2015, Lisbon, Portugal
[PDF] [Supplement] [Poster] [Code] [Bibtex]
@inproceedings{Yang:Boyd-Graber:Resnik-2015,
Title = {Birds of a Feather Linked Together: A Discriminative Topic Model using Link-based Priors},
Author = {Weiwei Yang and Jordan Boyd-Graber and Philip Resnik},
Booktitle = {Empirical Methods in Natural Language Processing},
Pages = {261--266},
Year = {2015},
Location = {Lisbon, Portugal},
}
Address:
1 Kechuang Ave, Yuhang District, Hangzhou, Zhejiang Province 311121, P.R. China
浙江省杭州市余杭区科创大道1号
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