publications

publications in chronological order. generated by jekyll-scholar.

2021

  1. Simon Says: Evaluating and Mitigating Bias in Pruned Neural Networks with Knowledge Distillation
    Blakeney, Cody, Huish, Nathaniel, Yan, Yan, and Zong, Ziliang
    arXiv preprint arXiv:2106.07849 2021

2020

  1. Parallel blockwise knowledge distillation for deep neural network compression
    Blakeney, Cody, Li, Xiaomin, Yan, Yan, and Zong, Ziliang
    IEEE Transactions on Parallel and Distributed Systems 2020
  2. Craft distillation: Layer-wise convolutional neural network distillation
    Blakeney, Cody, Li, Xiaomin, Yan, Yan, and Zong, Ziliang
    In 2020 7th IEEE International Conference on Cyber Security and Cloud Computing (CSCloud)/2020 6th IEEE International Conference on Edge Computing and Scalable Cloud (EdgeCom) 2020
  3. Transfer Learning with Fine-grained Sparse Networks: From an Efficient Network Perspective
    Li, Xiaomin, Blakeney, Cody, and Zong, Ziliang
    In The Resource-Constrained Machine Learning Workshop in conjunction with IEEE Conference on Machine Learning and Systems (MLSys’ 20) 2020
  4. Is pruning compression?: Investigating pruning via network layer similarity
    Blakeney, Cody, Yan, Yan, and Zong, Ziliang
    In Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision 2020

2019

  1. Improving the energy efficiency of relational and NoSQL databases via query optimizations
    Mahajan, Divya, Blakeney, Cody, and Zong, Ziliang
    Sustainable Computing: Informatics and Systems 2019