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.

Research Interest

• Machine Learning: learning from label proportions, multi-view learning, deep learning

• Computer Vision: contour detection, multimodal learning

• Network Analysis: network embedding, community detection

If you're interested

• What was my experience before going to college? 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 the age of 14.

• Why do I pursue another PhD degree? Because there is still a lot for me to learn and improve. And I want to embrace more possibilities in life (which also explains why I didn't apply for postdocs).

• On Learning from Heterogeneous Data
  Limeng Cui
  Thesis, 2018 [Abstract]

  
  

• 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]

  
  

• 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

  
  

• 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]

  
  

• 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), 2017 (online) [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

  
  

• 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]

  
  

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

  
  

• Pavement Distress Detection Using Random Decision Forests
  Limeng Cui, Zhiquan Qi, Zhensong Chen, Fan Meng and Yong Shi
  Proceedings of International Conference on Data Science, (ICDS), 2015

  
  

• A Hierarchy Method Based on LDA and SVM for News Classification
  Limeng Cui, Fan Meng, Yong Shi, Minqiang Li and An Liu
  IEEE International Conference on Data Mining Workshops, (ICDMW), 2014

  
  

• Aug. 2018 – Present
  PIKE research group @ PSU, Research Assistant
  Supervisor: Prof. Dongwon Lee

  
  

• 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 tocomputer vision.
  Supervisor: Prof. Philip S. Yu

  
  

• 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