Xin Dai

Staff Research Scientist

Research areas: data mining, machine learning, deep learning

Xin Dai, Visa Research scientist.

Publications

  1. Xin Dai, Xiangnan Kong, Tian Guo, Xinlu He. FiShNet: Fine-Grained Filter Sharing for Resource-Efficient Multi-Task Learning. In Proc. of CIKM, 2021.
  2. Xin Dai, Xiangnan Kong, Tian Guo, Yixian Huang. CiNet: Redesigning Deep Neural Networks for Efficient Mobile-Cloud Collaborative Inference. In Proc. of SDM, 2021.
  3. Xin Dai, Xiangnan Kong, Tian Guo, John Boaz Lee, Xinyue Liu, Constance M. Moore. Recurrent Networks for Guided Multi-Attention Classification. In Proc. of KDD, 2020.
  4. Xin Dai, Xiangnan Kong, Tian Guo. EPNet: Learning to Exit with Flexible Multi-Branch Network. In Proc. of CIKM, 2020.
  5. Xin Dai, Xiangnan Kong, Xinyue Liu, John Boaz Lee, Constance M. Moore. Dual-Attention Recurrent Networks for Affine Registration of Neuroimaging Data. In Proc. of SDM, 2020.