Ph.D. Candidate
Pennsylvania State University
305 Steam Services Building, University Park, PA 16802
Email: lzc334 AT psu DOT edu
CV: [English Version] [中文版]
Thank you for dropping by my website! ♥
I am pursuing my second Ph.D. degree at College of Information Science 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.
Healthcare: rare disease detection from EHR data
Social media: fake news detection, misinformation
Multimedia: cross-modal retrieval, multi-modal embedding
How did you get into university at age 14? I was admitted to the Experimental Class for Exceptionally Gifted Children in Beijing No. 8 High School when I was 10 years old. Here's the introduction page (in Chinese). After 4 years of study, I went to college at age 14.
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.
CONAN: Complementary Pattern Augmentation for Rare Disease Detection
Limeng Cui, Siddharth Biswal, Lucas Glass, Greg Lever, Jimeng Sun, and Cao Xiao
AAAI Conference on Artificial Intelligence (AAAI), 2020 [Code]
SAME: Sentiment-Aware Multi-modal Embedding for Detecting Fake News
Limeng Cui, Suhang Wang, and Dongwon Lee
Proceedings of 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, and Huan Liu
Proceedings of 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 and Philip S. Yu
Proceedings of 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 and Philip S. Yu
Proceedings of ACM International Conference on Multimedia Retrieval (ICMR), 2018 [Code]
Real Time Social Attitude Expression Prediction
Jiawei Zhang, Philip S. Yu, Charu C. Aggarwal and Limeng Cui
BigData Congress, 2017
Inverse extreme learning machine for learning with label proportions
Limeng Cui, Jiawei Zhang, Zhensong Chen, Yong Shi and Philip S. Yu
Proceedings of 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 and Yuanhua Lv
Proceedings of 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 and Philip S. Yu
Proceedings of IEEE International Conference on Data Mining (ICDM), 2017
Learning from Label Proportions with Pinball Loss
Yong Shi, Limeng Cui (Main Contributor), Zhensong Chen and 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 and 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 and Zhensong Chen
IEEE Transactions on Intelligent Transportation Systems (T-ITS), (2016) [Code][Dataset]
dEFEND: An Explainable Fake News Detection System
Limeng Cui, Kai Shu, Suhang Wang, Dongwon Lee and Huan Liu
Proceedings of ACM International Conference on Information and Knowledge Management (CIKM), 2019 [Demo]
On Learning from Heterogeneous Data
Limeng Cui
Dissertation, 2018 [Proposal][Midterm][Defense]
Warning Signs in Communicating the Machine Learning Detection Results of Misinformation with Individuals
Limeng Cui
IST 525, 2019 Spring [arXiv][Supplementary]
Aug. 2018 – Present
PIKE research group @ PSU, Research Assistant
Supervisor: Prof. Dongwon Lee
May. 2019 – Aug. 2019
Analytics Center of Excellence @ IQVIA, Machine Learning Intern
Supervisor: Dr. Cao (Danica) Xiao
Sep. 2013 – June. 2018
Research Center on Fictitious Economy & Data Science @ CAS, Research Assistant
Research Topic: Weakly labeled learning with applications to computer vision.
Supervisor: Prof. Yong Shi
Oct. 2016 – Nov. 2017
Big Data and Social Computing Lab @ UIC, Student Intern
Research Topic: Heterogeneous data fusion and multi-view learning with applications to computer vision.
Supervisor: Prof. Philip S. Yu