Jiachen Mao

Artificial Intelligence · 2017

A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 5 citations into it
• Computer Vision and Pattern Recognition — 5 citations into it; #21,467 of 21,575 by trust here, #16,367 by citations

Whom Jiachen Mao trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Inderjit S. Dhillon
2. Ulrike von Luxburg
3. Karen Simonyan
4. Song Han
5. Andrew Zisserman
6. Adam Coates
7. James T. Wilson
8. Yann LeCun
9. Geoffrey E. Hinton
10. Sergey Ioffe

Who trusts Jiachen Mao overall

1. Jiasi Chen
2. Zhi Zhou
3. Liekang Zeng
4. Zhuoran Zhao
5. Xu Chen
6. Yuanming Shi
7. Yiwen Han
8. Xukan Ran
9. Kamyar Mirzazad Barijough
10. Kai Yang

Papers from Jiachen Mao's perspective

Ordered by how strongly the researchers Jiachen Mao trusts endorse each paper. Same corpus, a different order for every researcher.

1. Gradient-based learning applied to document recognition
2. ImageNet classification with deep convolutional neural networks
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
5. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
6. Long Short-Term Memory
7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
8. ImageNet: A large-scale hierarchical image database
9. Attention is All you Need (Neural Information Processing Systems)
10. Going deeper with convolutions

Their papers

• MoDNN: Local distributed mobile computing system for Deep Neural Network (2017) — 296 citations