Hangchen Yu

2020

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Whom Hangchen Yu trusts overall

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

1. Karen Simonyan
2. Michael M. Swift
3. Christian Szegedy
4. Andrew Zisserman
5. Shuai Che
6. Brian N. Bershad
7. Vincent Vanhoucke
8. Sergey Ioffe
9. Hao Chen

Papers from Hangchen Yu's perspective

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

1. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
2. ImageNet classification with deep convolutional neural networks
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. Rethinking the Inception Architecture for Computer Vision
5. Gradient-based learning applied to document recognition
6. Long Short-Term Memory
7. Attention is All you Need (Neural Information Processing Systems)
8. ImageNet Large Scale Visual Recognition Challenge
9. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
10. Going deeper with convolutions

Their papers

• AvA: Accelerated Virtualization of Accelerators (2020) — 47 citations