I am a 4th-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, Machine Learning, Deep Learning and Recommender Systems.

Last updated: 09/2017

Conferences:

  • Huayu Li, Martin Renqiang Min, Yong Ge and Asim Kadav, “A Context-aware Attention Network for Interactive Question Answering”, The 23rd SIGKDD Conference on Knowledge Discovery and Data Mining (KDD'17). [PDF, Poster, Data]
  • Huayu Li, Yong Ge, Hengshu Zhu, Hui Xiong, and Hongke Zhao, “Prospecting the Career Development of Talents: A Survival Analysis Perspective”, The 23rd SIGKDD Conference on Knowledge Discovery and Data Mining (KDD'17). [PDF]
  • Hongke Zhao, Hefu Zhang, Yong Ge, Qi Liu, Enhong Chen, Huayu Li, and Le Wu, “Tracking the Dynamics in Crowdfunding”, The 23rd SIGKDD Conference on Knowledge Discovery and Data Mining (KDD'17).
  • Huayu Li, Defu Lian, Yong Ge, and Hao Liu, “Learning User's Intrinsic and Extrinsic Interests for Point-of-Interest Recommendation: A Unified Approach. ”, The 26th International Joint Conference on Artificial Intelligence (IJCAI'17), 2017. [PDF]
  • 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), pp. 975-984, 2016. [PDF, Slide, Code, 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), pp. 1683-1689, 2016. [PDF, Code]
  • 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), pp. 117-125, 2016. [PDF]
  • 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. [PDF]
  • 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. [PDF, Slide, Code]
  • 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. [PDF, Slide, Code]
  • 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:

  • Check-in Datasets [Request via Email]

More resources are coming soon.