I am a 3rd-year Ph.D. student supervised by Dr. Yong Ge in the Department of Computer Science at the University of North Carolina at Charlotte (UNC Charlotte). I obtained my B.S. degree in Electronic Engineering and Information Science from the University of Science and Technology of China (USTC) in 2011. Before joining UNC Charlotte in Spring 2014, I had worked at Oracle as a software engineer for more than two years.

Research Interests

My research interests include Data Mining, Spatio-temporal Data Analysis, Social Networks and Recommender Systems.

Last updated: 08/2016

Conferences:

  • Huayu Li, Yong Ge, Richang Hong and Hengshu Zhu, “Point-of-Interest Recommendations: Learning Potential Check-ins from Friends”, The 22nd SIGKDD Conference on Knowledge Discovery and Data Mining (KDD'16), accepted, 2016.[Promotional Video]
  • Huayu Li, Richang Hong, Defu Lian, Zhiang Wu, Meng Wang and Yong Ge, “A Relaxed Ranking-based Factor Model for Recommender System from Implicit Feedback”, The 25th International Joint Conference on Artificial Intelligence (IJCAI'16), accepted, 2016.
  • Huayu Li, Richang Hong, Zhiang Wu and Yong Ge, “A Spatial-Temporal Probabilistic Matrix Factorization Model for Point-of-Interest Recommendation”, SIAM International Conference on Data Mining (SDM'16), accepted, 2016.
  • Huayu Li, Richang Hong, Shiai Zhu and Yong Ge, “Point-of-Interest Recommender Systems: A Separate-Space Perspective”, IEEE International Conference on Data Mining (ICDM'15), pp. 231-240, 2015.
  • Huayu Li, Rongcheng Lin, Richang Hong and Yong Ge, “Generative Models for Mining Latent Aspects and Their Ratings from Short Reviews”, IEEE International Conference on Data Mining (ICDM'15), pp. 241-250, 2015.[Slide, Code Request via Email]
  • Huayu Li, Hengshu Zhu, Yong Ge, Yanjie Fu and Yuan Ge, “Personalized TV Recommendation with Mixture Probabilistic Matrix Factorization”, SIAM International Conference on Data Mining (SDM'15), pp. 352-360, 2015.[Slide, Code Request via Email]
  • Rongcheng Lin, Huayu Li, Xiaojun Quan, Richang Hong, Zhiang Wu and Yong Ge, “Regularizing Flat Latent Variables with Hierarchical Structures”, The 24th International Joint Conference on Artificial Intelligence (IJCAI'15), pp. 3671-3677, 2015.

Resources:

More resources are coming soon.