Ying He
Computer Networks and Communications · with Yin · 2017–2018
A researcher in the Science corpus: 2 papers; trusts 10 researchers and is trusted by 7 researchers here, as inferred from the citation graph.
Subfields
- Computer Networks and Communications — 11 citations into it; #4,557 of 9,886 by trust here, #2,927 by citations
- Reinforcement Learning — 11 citations into it
- Artificial Intelligence — 9 citations into it
Whom Ying He trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- David Silver
- Volodymyr Mnih
- Marc Peter Deisenroth
- Hado van Hasselt
- Timothy P. Lillicrap
- Richard S. Sutton
- Shixiang Shane Gu
- Koray Kavukcuoglu
- Geoffrey E. Hinton
- Carl E. Rasmussen
Who trusts Ying He overall
- Jun Zhang
- Le Liang
- Xiaofei Wang
- Hao Ye
- Fengxiao Tang
- Fatima Hussain
- Nguyen Cong Luong
- Lei Liu
- Yaohua Sun
- Yiwen Han
Papers from Ying He's perspective
Ordered by how strongly the researchers Ying He trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Gradient-based learning applied to document recognition
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- Learning Multiple Layers of Features from Tiny Images
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
- Human-level control through deep reinforcement learning
- ImageNet: A large-scale hierarchical image database