Xingyu Liu
Computer Vision and Pattern Recognition · with Dally · 2016–2017
A researcher in the Science corpus: 2 papers; trusts 83 researchers and is trusted by 3 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 42 citations into it; #15,626 of 21,575 by trust here, #3,426 by citations
- Artificial Intelligence — 31 citations into it; #25,507 of 35,345 by trust here, #4,512 by citations
- Efficiency & Compression — 25 citations into it; #970 of 1,264 by trust here, #259 by citations
Whom Xingyu Liu trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Ross B. Girshick
- Geoffrey E. Hinton
- Song Han
- Kaiming He
- Alex Krizhevsky
- X. Zhang
- Yann LeCun
- Karen Simonyan
- Yoshua Bengio
- Jia Deng
Who trusts Xingyu Liu overall
- Song Han
- Huizi Mao
- Haichuan Yang
- Forrest N. Iandola
- Udit Gupta
- Xuanyi Dong
- Hyoukjun Kwon
- Michael Zhu
- Yihui He
- Yu-hsin Chen
Papers from Xingyu Liu's perspective
Ordered by how strongly the researchers Xingyu Liu trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Long Short-Term Memory
- ImageNet: A large-scale hierarchical image database
- Gradient-based learning applied to document recognition
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Going deeper with convolutions
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet Large Scale Visual Recognition Challenge
Their papers
- EIE: Efficient Inference Engine on Compressed Deep Neural Network (2016) — 2,611 citations
- Exploring the Regularity of Sparse Structure in Convolutional Neural Networks (2017) — 258 citations