Limeng Cui

Ph.D. Candidate

PIKE research group

The Pennsylvania State University

Email: lzc334 AT psu DOT edu

[CV] [Google Scholar] [LinkedIn] [GitHub]

About Me

I am pursuing my second Ph.D. degree at College of Information Sciences and Technology, Pennsylvania State University, supervised by Prof. Dongwon Lee. I received a Ph.D. degree in Computer Applied Technology at School of Computer and Control Engineering, University of Chinese Academy Sciences in 2018, supervised by Prof. Yong Shi and Prof. Philip S. Yu. Before that, I received my Bachelor degree in Software Engineering from Beijing Institute of Technology in June, 2013.

Research Interest

  • AI in Cybersecurity: misinformation detection, fraud detection

  • Healthcare: rare disease detection from EHR data

  • Multi-modal: cross-modal retrieval, multi-modal embedding

FAQ (if you're interested)

  1. How did you get into college at age 14?
    Short version: I was admitted to the Experimental Class for Exceptionally Gifted Children in Beijing No. 8 High School when I was 10 years old (acceptance rate<2%). Here's the introduction page (in Chinese). After 4 years of study, I went to college at age 14.
    Long version: See Section 6.1 in "Beijing Model of Gifted Education and Talent Development".
  2. Why do you pursue another PhD degree?
    Because there is still a lot for me to learn and improve when I was graduated. And I want to embrace more possibilities in life.

Contact

You may reach out to me if you have a question about my research or you come from an underrepresented group and are interested in studying computer science. I'd be happy to help.

Research Experiences

Publication

Conference Papers
  • DETERRENT: Knowledge Guided Graph Attention Network for Detecting Healthcare Misinformation
    Limeng Cui, Haeseung Seo, Maryam Tabar, Fenglong Ma, Suhang Wang, Dongwon Lee
    ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2020 [Code][Video]


  • CONAN: Complementary Pattern Augmentation for Rare Disease Detection
    Limeng Cui, Siddharth Biswal, Lucas Glass, Greg Lever, Jimeng Sun, Cao Xiao
    AAAI Conference on Artificial Intelligence (AAAI), 2020 [Code][Paper][Video]


  • SAME: Sentiment-Aware Multi-modal Embedding for Detecting Fake News
    Limeng Cui, Suhang Wang, Dongwon Lee
    IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM), 2019 [Code]


  • dEFEND: Explainable Fake News Detection
    Kai Shu, Limeng Cui, Suhang Wang, Dongwon Lee, Huan Liu
    ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2019 [Code]


  • Multi-view Fusion through Cross-modal Retrieval
    Limeng Cui, Zhensong Chen, Jiawei Zhang, Lifang He, Yong Shi, Philip S. Yu
    IEEE International Conferenceon Image Processing (ICIP), 2018 [Code]


  • Multi-view Collective Tensor Decomposition for Cross-modal Hashing (Oral)
    Limeng Cui, Zhensong Chen, Jiawei Zhang, Lifang He, Yong Shi, Philip S. Yu
    ACM International Conference on Multimedia Retrieval (ICMR), 2018 [Code]


  • Real Time Social Attitude Expression Prediction
    Jiawei Zhang, Philip S. Yu, Charu C. Aggarwal, Limeng Cui
    BigData Congress, 2017


  • Inverse extreme learning machine for learning with label proportions
    Limeng Cui, Jiawei Zhang, Zhensong Chen, Yong Shi, Philip S. Yu
    IEEE International Conference on Big Data (BigData), 2017 [Code]


  • BL-ECD: Broad Learning based Enterprise Community Detection via Hierarchical Structure Fusion
    Jiawei Zhang, Limeng Cui, Philip S. Yu, Yuanhua Lv
    ACM International Conference on Information and Knowledge Management (CIKM), 2017


  • BL-MNE: Emerging Heterogeneous Social Network Embedding Through Broad Learning with Aligned Autoencoder
    Jiawei Zhang, Congying Xia, Chenwei Zhang, Limeng Cui, Yanjie Fu, Philip S. Yu
    IEEE International Conference on Data Mining (ICDM), 2017


Journal Papers
  • Learning from Label Proportions with Pinball Loss
    Yong Shi, Limeng Cui (Main Contributor), Zhensong Chen, Zhiquan Qi
    International Journal of Machine Learning and Cybernetics (IJMLC), 2019 [Code]


  • Learning with label proportions based on nonparallel support vector machines
    Zhensong Chen, Zhiquan Qi, Bo Wang, Limeng Cui, Fan Meng, Yong Shi
    Knowledge Based Systems (KBS), 2017


  • Automatic Road Crack Detection Using Random Structured Forests
    Yong Shi, Limeng Cui (Main Contributor), Zhiquan Qi, Fan Meng, Zhensong Chen
    IEEE Transactions on Intelligent Transportation Systems (T-ITS), (2016) [Code][Dataset]


Workshop and Demo Papers
  • dEFEND: An Explainable Fake News Detection System
    Limeng Cui, Kai Shu, Suhang Wang, Dongwon Lee, Huan Liu
    ACM International Conference on Information and Knowledge Management (CIKM), 2019 [Demo]


  • Laplacian SVM for Learning from Label Proportions
    Limeng Cui, Zhensong Chen, Fan Meng, Yong Shi
    IEEE 16th International Conference on Data Mining Workshops (ICDMW), 2016


  • Pedestrian Detection Using Privileged Information
    Zhiquan Qi, Yingjie Tian, Lingfeng Niu, Fan Meng, Limeng Cui, Yong Shi
    IEEE 16th International Conference on Data Mining Workshops (ICDMW), 2015


  • A hierarchy method based on LDA and SVM for news classification
    Limeng Cui, Fan Meng, Yong Shi, Minqiang Li, An Liu
    IEEE 16th International Conference on Data Mining Workshops (ICDMW), 2014


Miscellaneous
  • CoAID: COVID-19 Healthcare Misinformation Dataset
    Limeng Cui, Dongwon Lee
    arXiv preprint, 2020 [Paper][Dataset]


  • Warning Signs in Communicating the Machine Learning Detection Results of Misinformation with Individuals
    Limeng Cui
    arXiv preprint, 2019 [Paper][Supplementary]


  • On Learning from Heterogeneous Data
    Limeng Cui
    PhD Dissertation, 2018 [Thesis][Proposal][Midterm][Defense]


Honors and Awards

  • WiCyS Student Scholarship and Travel Stipend Award, 2021
  • CRA-W Grad Cohort for Women, 2021
  • KDD Student Registration Award, 2020
  • GHC Student Scholarship, 2020
  • IST Student Travel Award, 2020 Spring
  • WiCyS Student Scholarship and Amazon AWS Travel Stipend Award, 2020
  • AAAI Student Scholarship, 2020
  • IST Student Travel Award, 2019 Fall
  • KDD Student Travel Award, 2019
  • CRA-W Grad Cohort for Women Travel Support, 2019
  • Robert W. Graham Endowed Graduate Fellowship, 2018
  • Scholarship of China Scholarship Council, 2016
  • Outstanding student of UCAS, 2014
  • Second Prize, Scholarship of BIT, 2013
  • Honorable Mention, American Mathematical Contest in Modeling, 2012
  • Second Prize, Scholarship of BIT, 2012

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