Scholar
Meiqi Guo
Google Scholar ID: Vu5rLh0AAAAJ
Google Deepmind
Citations & Impact
Citations
722
H-index
7
i10-index
5
Publications
11
Co-authors
16
list available
Publications
Browse publications on Google Scholar (top-right) ↗
Resume (English only)
Academic Achievements
- 1. Decoding Symbolism in Language Models - ACL-2023
- 2. ImageArg: A Multi-modal Tweet Dataset for Image Persuasiveness Mining - COLING-2022 (Best Paper Award)
- 3. Detecting Persuasive Atypicality by Modeling Contextual Compatibility - ICCV-2021
- 4. Abg-CoQA: Clarifying Ambiguity in Conversational Question Answering - AKBC-2021
- 5. Inflating Topic Relevance with Ideology: A Case Study of Political Ideology Bias in Social Topic Detection Models - COLING-2020
Research Experience
- Currently a software engineer at Google Research.
Education
- Ph.D. in Computer Science from the University of Pittsburgh, advised by Prof. Rebecca Hwa; M.S. in Applied Mathematics from Université Paris-Saclay (École Centrale Paris); B.S. in Information and Computational Science from Beihang University.
Background
- Research interests include natural language processing, computer vision, multimodal machine learning, and data mining. 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.
