About Me

Welcome to my homepage! My name is Bojian Hou (also Bo-Jian Hou), a postdoctoral researcher of CBICA (The Center for Biomedical Image Computing and Analytics) at the University of Pennsylvania advised by Prof. Yong Fan. Before that, I was a postdoctoral associate in the Department of Poplulation Health and Science at Cornell University, advised by Prof. Fei Wang.

I received my B.Sc. and Ph.D. degree in the Department of Computer Science at Nanjing University in 2014 and 2020 seperately. I was a member of LAMDA Group led by Prof. Zhi-Hua Zhou during my doctoral study. My Ph.D. supervisor is Prof. Zhi-Hua Zhou.

I have broad interest in machine learning, data mining and their potential applications to biomedical data. During my doctoral study, my main research direction is feature evolvable learning which is a novel learning scenario where data features would evolve in open and dynamic environment. I developed a series of algorithms that can effectively deal with this scenario with theoretical guarantees. I am also interested in

  • Interpretability: studying the interpretability of the black-box machine learning models;
  • Semi-Supervised Learning: learning both from labeled and unlabeled data;
  • Online Learning: learning models continuously from online streaming data;
  • Natural Language Processing: leveraging pre-trained model to understand natural language;
  • Deep Learning: leveraging deep neural networks to handle complex spatial and temporal data;
  • Learnware: towards reusable, evolvable and comprehensible machine learning models.

I will use my expertise of machine learning to do research on biomedical image analysis and survival analysis in the future.

Recent Highlights

  • 11-22-2021: Winning the Excellent Doctoral Dissertation Award of Jiangsu Province.
  • 09-13-2021: Winning the Excellent Doctoral Dissertation Award of Nanjing University.
  • 08-31-2021: Our paper “Online Learning in Variable Feature Spaces with Mixed Data” with Yi He, Jiaxian Dong, Yu Wang, and Fei Wang is accepted by ICDM’21.
  • 04-01-2021: Our paper “Prediction with Unpredictable Feature Evolution” with Prof. Lijun Zhang and Prof. Zhi-Hua Zhou is accepted by IEEE Transactions on Neural Networks and Learning Systems.
  • 12-24-2020: Winning the JSAI Excellent Doctoral Dissertation Award.
  • 12-02-2020: Our paper “Storage Fit Learning with Feature Evolvable Streams” with Yu-Hu Yan, Peng Zhao and Zhi-Hua Zhou got accepted by AAAI’21.
  • 06-18-2020: Winning the CS Excellent Doctoral Dissertation Award of Nanjing University.
  • 05-27-2020: I have successfully defended my PhD dissertation and became a Ph.D.
  • 04-21-2020: Winning the Outstanding Graduate Student Award of Nanjing University.