Publications

Conference

  1. Bo-Jian Hou, Lijun Zhang, and Zhi-Hua Zhou. Learning with Feature Evolvable Streams. In: Advances in Neural Information Processing Systems 30 (NIPS’17), Long Beach, CA, 2017, 30: 1417-1427. [PDF] [Poster] [Code]
  2. Bo-Jian Hou, Yu-Hu Yan, Peng Zhao and Zhi-Hua Zhou. Storage Fit Learning with Feature Evolvable Streams. In: Proceedings of the AAAI Conference on Artificial Intelligence (AAAI’21), Virtual Conference, 2021, 35(9), 7729-7736. [ArXiv] [Code]
  3. Bo-Jian Hou, Lijun Zhang, and Zhi-Hua Zhou. Storage Fit Learning with Unlabeled Data. In: Proceedings of the 26th International Joint Conference on Artificial Intelligence (IJCAI’17), Melbourne, Australia, 2017, 1844-1850. [PDF] [Poster] [Code]
  4. Yi He, Jiaxian Dong, Bo-Jian Hou, Yu Wang, and Fei Wang. Online Learning in Variable Feature Spaces with Mixed Data. In: Proceedings of the 21st IEEE International Conference on Data Mining (ICDM’21), Auckland, New Zealand, 2021, in press. [PDF]
  5. Bo-Jian Hou and Yuan Jiang. Learning Interpretability from RNN with Feature Evolving. In: CCF Conference on Artificial Intelligence (CCFAI’19), Xuzhou, China, 2019. (This paper won the CCFAI Outstanding Student Paper Award.)

Journal

  1. Bo-Jian Hou, Lijun Zhang, and Zhi-Hua Zhou. Prediction with Unpredictable Feature Evolution. IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2021, in press. [ArXiv] [Code]
  2. Bo-Jian Hou and Zhi-Hua Zhou. Learning with Interpretable Structure from Gated RNN. IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2020, 31(7): 2267-2279. [PDF] [Code]
  3. Bo-Jian Hou, Lijun Zhang, Zhi-Hua Zhou. Learning with Feature Evolvable Streams. IEEE Transactions on Knowledge and Data Engineering (TKDE), 2019, 33(6): 2602-2615. [PDF]
  4. Jie Ren, Bojian Hou, and Yuan Jiang. Deep Forest for Multiple Instance Learning. Journal of Computer Research and Development, 2019, 56(8): 1670-1676. [PDF]
  5. Mingquan Lin, Bojian Hou, Lei Liu, Mae Gordon, Michael Kass, Fei Wang, Sarah H. Van Tassel, Yifan Peng. Automated diagnosing primary open-angle glaucoma from fundus image by simulating human’s grading with deep learning. Scientific Report, 2022, 12(1): 1-10. [PDF]

Manuscript

  1. Bojian Hou, Hao Zhang, Gur Ladizhinsky, Ali Kayyal, Stephen Yang, Volodymyr Kuleshov, Fei Wang and Qian Yang. Clinical Evidence Engine: Proof-of-Concept For a Clinical-Domain-Agnostic Decision Support Infrastructure. Submitted to the annual ACM Conference on Intelligent User Interfaces (ACM IUI’22). [Arxiv]

  2. Jing-Xiao Liao, Bo-Jian Hou, Hang-Cheng Dong, Hao Zhang, Jianwei Ma, Jinwei Sun, Shiping Zhang, Feng-Lei Fan. Heterogeneous Autoencoder Empowered by Quadratic Neurons. Submitted to the 31st International Joint Conference on Artificial Intelligence (IJCAI’22).
  3. Dayang Wang, Feng-Lei Fan, Bo-Jian Hou, Hao Zhang, Rongjie Lai, Hengyong Yu, Fei Wang. Manifoldron: Direct Space Partition via Manifold Discovery. Submitted to the 31st Interna- tional Joint Conference on Artificial Intelligence (IJCAI’22). [Arxiv]