World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
57
Citations
21244
World Ranking
3745
National Ranking
1787

Research.com Recognitions

  • 2017 - ACM Distinguished Member

Overview

Qiaozhu Mei is affiliated with the University of Michigan-Ann Arbor in the United States. Their research primarily spans the field of Computer Science, with notable contributions in several subfields including Artificial Intelligence, Statistical and Nonlinear Physics, Information Systems, Sociology and Political Science, and Management Information Systems.

The scientist's work covers a broad range of topics, among which the key areas are:

  • Topic Modeling
  • Natural Language Processing Techniques
  • Advanced Graph Neural Networks
  • Complex Network Analysis Techniques
  • Opinion Dynamics and Social Influence
  • FinTech, Crowdfunding, Digital Finance
  • Microfinance and Financial Inclusion

Qiaozhu Mei has published extensively, with a substantial number of papers appearing in notable venues. The most frequent publication venues include:

  • arXiv (Cornell University)
  • Proceedings of the International AAAI Conference on Web and Social Media
  • SSRN Electronic Journal
  • Proceedings of the National Academy of Sciences
  • AEA Randomized Controlled Trials

Among recent papers authored or co-authored by Mei are:

  • A Turing test of whether AI chatbots are behaviorally similar to humans (2024, Proceedings of the National Academy of Sciences)
  • Classifying the Political Leaning of News Articles and Users from User Votes (2021, Proceedings of the International AAAI Conference on Web and Social Media)
  • Feature-Based Explanations Don't Help People Detect Misclassifications of Online Toxicity (2020, Proceedings of the International AAAI Conference on Web and Social Media)
  • Putting Teams into the Gig Economy: A Field Experiment at a Ride-Sharing Platform (2023, Management Science)
  • Subgroup Generalization and Fairness of Graph Neural Networks (2021, arXiv (Cornell University))

Frequent collaborators in their research include Walter Yuan, Jiaqi Ma, Wei Ai, Matthew O. Jackson, and Teng Ye, reflecting a consistent engagement with other researchers in related fields.

Qiaozhu Mei has been recognized as an ACM Distinguished Member since 2017, indicating a degree of acknowledgment from the academic community.

Best Publications

  • LINE: Large-scale Information Network Embedding

    Jian Tang;Meng Qu;Mingzhe Wang;Ming Zhang

  • Topic sentiment mixture: modeling facets and opinions in weblogs

    Qiaozhu Mei;Xu Ling;Matthew Wondra;Hang Su

  • Rumor has it: Identifying Misinformation in Microblogs

    Vahed Qazvinian;Emily Rosengren;Dragomir R. Radev;Qiaozhu Mei

  • PTE: Predictive Text Embedding through Large-scale Heterogeneous Text Networks

    Jian Tang;Meng Qu;Qiaozhu Mei

  • Discovering evolutionary theme patterns from text: an exploration of temporal text mining

    Qiaozhu Mei;ChengXiang Zhai

  • Enquiring Minds: Early Detection of Rumors in Social Media from Enquiry Posts

    Zhe Zhao;Paul Resnick;Qiaozhu Mei

  • Automatic labeling of multinomial topic models

    Qiaozhu Mei;Xuehua Shen;ChengXiang Zhai

  • Supporting information retrieval from electronic health records

    David A. Hanauer;Qiaozhu Mei;James Law;Ritu Khanna

  • Topic modeling with network regularization

    Qiaozhu Mei;Deng Cai;Duo Zhang;ChengXiang Zhai

  • Query suggestion using hitting time

    Qiaozhu Mei;Dengyong Zhou;Kenneth Church

  • Visualizing Large-scale and High-dimensional Data

    Jian Tang;Jingzhou Liu;Ming Zhang;Qiaozhu Mei

  • A probabilistic approach to spatiotemporal theme pattern mining on weblogs

    Qiaozhu Mei;Chao Liu;Hang Su;ChengXiang Zhai

  • The DARPA Twitter Bot Challenge

    V.S. Subrahmanian;Amos Azaria;Skylar Durst;Vadim Kagan

  • Investigating task performance of probabilistic topic models: an empirical study of PLSA and LDA

    Yue Lu;Qiaozhu Mei;Chengxiang Zhai

  • DeepCas: An End-to-end Predictor of Information Cascades

    Cheng Li;Jiaqi Ma;Xiaoxiao Guo;Qiaozhu Mei

  • We know what @you #tag: does the dual role affect hashtag adoption?

    Lei Yang;Tao Sun;Ming Zhang;Qiaozhu Mei

  • Understanding the Limiting Factors of Topic Modeling via Posterior Contraction Analysis

    Jian Tang;Zhaoshi Meng;Xuanlong Nguyen;Qiaozhu Mei

  • Learning from the ubiquitous language: an empirical analysis of emoji usage of smartphone users

    Xuan Lu;Wei Ai;Xuanzhe Liu;Qian Li

  • DivRank: the interplay of prestige and diversity in information networks

    Qiaozhu Mei;Jian Guo;Dragomir Radev

  • PET: a statistical model for popular events tracking in social communities

    Cindy Xide Lin;Bo Zhao;Qiaozhu Mei;Jiawei Han

Frequent Co-Authors

Xuanzhe Liu
Xuanzhe Liu Peking University
ChengXiang Zhai
ChengXiang Zhai University of Illinois at Urbana-Champaign
Kai Zheng
Kai Zheng University of Electronic Science and Technology of China
Jian Tang
Jian Tang Syracuse University
Hua Xu
Hua Xu Yale University
Gang Huang
Gang Huang Peking University
Paul Resnick
Paul Resnick University of Michigan–Ann Arbor
Jiawei Han
Jiawei Han University of Illinois at Urbana-Champaign
Yang Liu
Yang Liu Microsoft Research Asia (China)
Tao Xie
Tao Xie Peking University

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