Peng Jiang
Artificial Intelligence · with Agrawal · 2018
A researcher in the Science corpus: 1 paper; trusts 62 researchers and is trusted by 11 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 28 citations into it
- Optimization & Training — 26 citations into it
- Computer Vision and Pattern Recognition — 17 citations into it
- ML Systems & Hardware — 11 citations into it
- Computational Mechanics — 5 citations into it
Whom Peng Jiang trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Alex Krizhevsky
- Kaiming He
- Karen Simonyan
- Xiangru Lian
- Hang Su
- Geoffrey E. Hinton
- Andrew Zisserman
- Saeed Ghadimi
- Yoshua Bengio
- Yann LeCun
Who trusts Peng Jiang overall
- Hao Yu
- Dmitrii Avdiukhin
- Hanlin Tang
- Ahmed Khaled
- Jihong Park
- Rong Jin
- Shiva Prasad Kasiviswanathan
- Xiangru Lian
- Peter Richtárik
- Shiqiang Wang
Papers from Peng Jiang's perspective
Ordered by how strongly the researchers Peng Jiang 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
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- Long Short-Term Memory
- Learning Multiple Layers of Features from Tiny Images
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet: A large-scale hierarchical image database
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)