Weiping Pei

Assistant Professor

School of Cyber Studies
The University of Tulsa

Office: Keplinger Hall 115b
Email: weiping-pei at utulsa dot edu

Google Scholar

About Me

I am Weiping Pei, an Assistant Professor in the School of Cyber Studies at The University of Tulsa. I received my Ph.D degree in Computer Science from Colorado School of Mines in 2022, under the supervision of Professor Chuan Yue. Before that, I got my B.Eng. and M.Eng. degrees from Sun Yat-sen University. My research interests are broadly in the area of security and privacy, crowdsourcing, and machine learning. For more information, please view my CV.

I'm looking for self-motivated students (both undergraduates and graduates) who are interested in doing Crowdsourcing, AI, Web, Mobile, and IoT systems security & privacy research. Please stop by my office or send me an email with a brief introduction of yourself. Thank you!

Students

  • Current PhD Students: S M Zia Ur Rashid, Dapeng Zhang, Jun Zhang
  • Current Undergraduate Students: Marina Katoh

    • Publications

  • PolicyChecker: Analyzing the GDPR Completeness of Mobile Apps' Privacy Policies[pdf]
    By Anhao Xiang, Weiping Pei, and Chuan Yue. In proceedings of the ACM Conference on Computer and Communications Security (CCS), 2023.

  • A Tale of Two Communities: Privacy of Third Party App Users in Crowdsourcing - The Case of Receipt Transcription. [pdf]
    By Weiping Pei, Yanina Likhtenshteyn, and Chuan Yue. In proceedings of the ACM on Human-Computer Interaction: ACM Conference on Computer-Supported Cooperative Work and Social Computing (CSCW), 2023.

  • Generating Content-Preserving and Semantics-Flipping Adversarial Text. [pdf]
    By Weiping Pei, and Chuan Yue. In proceedings of the ACM ASIA Conference on Computer and Communications Security (AsiaCCS), 2022 (acceptance rate: 18.4%).

  • WtaGraph: Web Tracking and Advertising Detection using Graph Neural Networks. [pdf]
    By Zhiju Yang, Weiping Pei, Monchu Chen, and Chuan Yue. In proceedings of the IEEE Symposium on Security and Privacy (S&P), 2022.

  • Quality Control in Crowdsourcing based on Fine-Grained Behavioral Features. [pdf]
    By Weiping Pei, Zhiju Yang, Monchu Chen, and Chuan Yue. In proceedings of the ACM on Human-Computer Interaction: ACM Conference on Computer-Supported Cooperative Work and Social Computing (CSCW), 2021.

  • Attention Please: Your Attention Check Questions in Survey Studies Can Be Automatically Answered. [pdf]
    By Weiping Pei, Arthur Mayer, Kaylynn Tu, and Chuan Yue. In proceedings of the The Web Conference (WWW), 2020.

  • Fast Approximation of Non-Negative Sparse Recovery via Deep Learning. [pdf]
    By Youye Xie, Zifan Wang, Weiping Pei, and Gongguo Tang. In proceedings of the IEEE International Conference on Image Processing (ICIP), 2019.

  • Spammer Detection via Combined Neural Network. [pdf]
    By Weiping Pei, Youye Xie, and Gongguo Tang. In proceedings of the International Conference on Machine Learning and Data Mining in Pattern Recognition (MLDM), 2018.

  • An embedded 6-axis sensor based recognition for tennis stroke. [pdf]
    By Weiping Pei, Jun Wang, Xubin Xu, Zhengwei Wu, and Xiaorong Du. In proceedings of the IEEE International Conference on Consumer Electronics (ICCE), 2017.

    • Honors, Grants, and Awards

  • NSF CRII: CNS-2246143, 05/01/2023 - 04/30/2025 ($174,906.00, Single PI)
  • S&P Student Travel Grant in 2022
  • GSG Travel Grant and Surplus Travel Grant at MINES in 2022
  • Outstanding CS PhD Student Award at MINES in 2021
  • Grace Hopper Celebration (GHC) Student Scholarship in 2018
  • Outstanding Graduate Student Scholarship at Sun Yat-sen University in 2015, 2016
  • Honorable Mention in the International Mathematical Contest In Modeling in 2014
  • Outstanding Undergraduate Student Scholarship at Sun Yat-sen University in 2012, 2013, 2014

    • Teaching

    Teaching at The University of Tulsa
  • CYB 2013: Secure Software Development II, Spring 2024
  • CYB 2004: Secure Software Development I, Fall 2023
  • CYB 3363: Data Security and Cryptography, Fall 2022, Fall 2023
  • CYB 8003: Research Seminar in Cyber Studies, Spring 2023

    • Teaching at Colorado School of Mines
  • CSCI 474: Introduction to Cryptography, Spring 2022
  • CSCI 574: Theory of Cryptography, Spring 2022
  • CSCI 585: Information Security and Privacy, Fall 2021


    • Last Updates: 02/2024