About


This is what I do.

Hey! I am a PhD student at School of Information and Electronics, Beijing Institue of Technology, from fall 2012. I am working with Prof. Senlin Luo on machine learning and medical data mining. Since Sep. 2015, I am a visiting PHD student at Human Sensing Lab in Carnegie Mellon University (CMU). I am really fortunate to work with my advisor Dong Huang and Prof. Fernando de la Torre . My research interests include machine learning and computer vision, with particular interests in finite mixture model and self-paced learning.

Publications

Teaser Title
Longfei Han, Dingwen Zhang, Dong Huang, Xiaojun Chang. Self-paced Mixture of Regression. IJCAI, 2017.
Dong Huang*, Longfei Han*, Fernando De la Torre. Soft-margin Mixture of Regression. CVPR, 2017.
Longfei Han, Senlin Luo and Huaiqing Wang. An Intelligible Risk Stratification Model based on Pairwise and Size Constrained Kmeans. JBHI, 2016. (Accepted)
Longfei Han, Senlin Luo and Jianmin Yu. Rule Extraction From Support Vector Machines Using Ensemble Learning Approach. JBHI, 19(2), 728-734, 2015.
Senlin Luo, Longfei Han, and Tiemei Zhang. A Risk Assessment Model for Type 2 Diabetes in Chinese. PLoS One, 2015.