Meiqi Guo's Homepage

I am a software engineer at Google Research. My research interests include natural language processing, computer vision, multimodal machine learning and data mining.

I obtained the Ph.D. degree in the Department of Computer Science at University of Pittsburgh, advised by Prof. Rebecca Hwa. I primarily worked towards building computational intelligence that can analyze and interpret persuasive images and text in the media, with broader interests in ambiguity clarification, bias mitigation and relation extraction. Before joining Pitt, I obtained the M.S. degree in Applied Mathematics from Université Paris-Saclay (École Centrale Paris), and the B.S. degree in Information and Computational Science from Beihang University.

[CV] [New Personal Site] (Current page is deprecated since Oct 10, 2023)

Publications

Decoding Symbolism in Language Models.
Meiqi Guo, Rebecca Hwa, Adriana Kovashka.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (ACL-2023).
(pdf) (data) (bibtex)

@inproceedings{guo-etal-2023-decoding,
    title = "Decoding Symbolism in Language Models",
    author = "Guo, Meiqi  and
      Hwa, Rebecca  and
      Kovashka, Adriana",
    booktitle = "Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)",
    month = jul,
    year = "2023",
    address = "Toronto, Canada",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/2023.acl-long.186",
    pages = "3311--3324",
}

ImageArg: A Multi-modal Tweet Dataset for Image Persuasiveness Mining.
Zhexiong Liu*, Meiqi Guo*, Yue Dai*, Diane Litman. (*equal contribution)
Proceedings of the 9th Workshop on Argument Mining, co-located with the 29th International Conference on Computational Linguistics (COLING-2022). (Best Paper Award)
(pdf) (code) (bibtex)

@inproceedings{liu-etal-2022-imagearg,
    title = "{I}mage{A}rg: A Multi-modal Tweet Dataset for Image Persuasiveness Mining",
    author = "Liu, Zhexiong  and
      Guo, Meiqi  and
      Dai, Yue  and
      Litman, Diane",
    booktitle = "Proceedings of the 9th Workshop on Argument Mining",
    month = oct,
    year = "2022",
    address = "Online and in Gyeongju, Republic of Korea",
    publisher = "International Conference on Computational Linguistics",
    url = "https://aclanthology.org/2022.argmining-1.1",
    pages = "1--18"
}

Detecting Persuasive Atypicality by Modeling Contextual Compatibility.
Meiqi Guo, Rebecca Hwa, Adriana Kovashka.
Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV-2021).
(pdf) (supplementary) (code) (bibtex)

@inproceedings{guo2021detecting,
  title={Detecting Persuasive Atypicality by Modeling Contextual Compatibility},
  author={Guo, Meiqi and Hwa, Rebecca and Kovashka, Adriana},
  booktitle={Proceedings of the IEEE/CVF International Conference on Computer Vision},
  pages={972--982},
  year={2021}
}

Abg-CoQA: Clarifying Ambiguity in Conversational Question Answering.
Meiqi Guo, Mingda Zhang, Siva Reddy, Malihe Alikhani.
3rd Conference on Automated Knowledge Base Construction (AKBC-2021).
(pdf) (data) (bibtex)

@inproceedings{guo2021abgcoqa,
  title={Abg-Co{QA}: Clarifying Ambiguity in Conversational Question Answering},
  author={Meiqi Guo and Mingda Zhang and Siva Reddy and Malihe Alikhani},
  booktitle={3rd Conference on Automated Knowledge Base Construction},
  year={2021},
  url={https://openreview.net/forum?id=SlDZ1o8FsJU}
}

Inflating Topic Relevance with Ideology: A Case Study of Political Ideology Bias in Social Topic Detection Models.
Meiqi Guo, Rebecca Hwa, Yu-Ru Lin, Wen-Ting Chung.
Proceedings of the 28th International Conference on Computational Linguistics (COLING-2020).
(pdf) (code) (bibtex)

@inproceedings{guo-etal-2020-inflating,
  title = "Inflating Topic Relevance with Ideology: A Case Study of Political Ideology Bias in Social Topic Detection Models",
  author = "Guo, Meiqi  and Hwa, Rebecca and Lin, Yu-Ru and Chung, Wen-Ting",
  booktitle = "Proceedings of the 28th International Conference on Computational Linguistics",
  month = dec,
  year = "2020",
  address = "Barcelona, Spain (Online)",
  publisher = "International Committee on Computational Linguistics",
  url = "https://aclanthology.org/2020.coling-main.428",
  doi = "10.18653/v1/2020.coling-main.428",
  pages = "4873--4885"
}

MimicProp: Learning to Incorporate Lexicon Knowledge into Distributed Word Representation for Social Media Analysis.
Muheng Yan, Yu-Ru Lin, Rebecca Hwa, Ali Mert Ertugrul, Meiqi Guo, Wen-Ting Chung.
Proceedings of the 14th International AAAI Conference on Web and Social Media (ICWSM-2020).
(pdf) (bibtex)

@inproceedings{yan2020mimicprop,
  title={MimicProp: Learning to Incorporate Lexicon Knowledge into Distributed Word Representation for Social Media Analysis},
  author={Yan, Muheng and Lin, Yu-Ru and Hwa, Rebecca and Ertugrul, Ali Mert and Guo, Meiqi and Chung, Wen-Ting},
  booktitle={Proceedings of the International AAAI Conference on Web and Social Media},
  volume={14},
  pages={738--749},
  year={2020}
}

Experience

Full-time

(2023.8 - ) Software Engineer at Google Research, Mountain View, CA

Internship

(2022.5 - 2022.8) Ph.D. Software Engineering Intern at Google, Mountain View, CA
(2020.5 - 2020.8) Ph.D. Software Engineering Intern at Google, (Virtually at) Sunnyvale, CA
(2019.4 - 2019.7) Ph.D. Software Engineering Intern at Google, Mountain View, CA
(2018.1 - 2018.6) Research Intern at Baidu Research, Beijing, China & Sunnyvale, CA
(2016.9 - 2017.11) Data Scientist Intern (part-time) at Allianz France, Paris Area, France

Professional Service

Journal Reviewer:
- IEEE/ACM Transactions on Audio, Speech and Language Processing
Conference Reviewer:
- ACL: 2023;
- EMNLP: 2023, 2022, 2021;
- EACL: 2023;
- BMVC: 2022;

Contact

Email: meiqi.guo@pitt.edu