Yujie Wu

Electrical and Electronic Engineering · 2017–2020

A researcher in the Science corpus: 5 papers; trusts 21 researchers and is trusted by 18 researchers here, as inferred from the citation graph.

Subfields

• Electrical and Electronic Engineering — 87 citations into it; #1,988 of 16,539 by trust here, #5,101 by citations
• Cognitive Neuroscience — 64 citations into it; #2,038 of 10,852 by trust here, #2,786 by citations
• Artificial Intelligence — 44 citations into it
• Computer Vision and Pattern Recognition — 37 citations into it
• Cellular and Molecular Neuroscience — 35 citations into it
• Model Architectures — 18 citations into it
• Optimization & Training — 13 citations into it

Whom Yujie Wu trusts overall

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

1. Yoshua Bengio
2. Kaiming He
3. Yann LeCun
4. Paul J. Werbos
5. Geoffrey E. Hinton
6. Peter U. Diehl
7. Yuxin Wu
8. Junhaeng Lee
9. Alex Krizhevsky
10. Sergey Ioffe

Who trusts Yujie Wu overall

1. Wei Fang
2. Man Yao
3. Shi-Wee Deng
4. Zhaofei Yu
5. Nitin Rathi
6. Yanqing Chen
7. Gopalakrishnan Srinivasan
8. Yuhang Li
9. Mingqing Xiao
10. Yonghong Tian

Papers from Yujie Wu's perspective

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

1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
2. ImageNet classification with deep convolutional neural networks
3. Gradient-based learning applied to document recognition
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Long Short-Term Memory
6. Attention is All you Need (Neural Information Processing Systems)
7. ImageNet: A large-scale hierarchical image database
8. Learning Multiple Layers of Features from Tiny Images
9. Going deeper with convolutions
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Spatio-Temporal Backpropagation for Training High-Performance Spiking Neural Networks (2017) — 1,368 citations
• Towards artificial general intelligence with hybrid Tianjic chip architecture (2019) — 1,085 citations
• Direct Training for Spiking Neural Networks: Faster, Larger, Better (2018) — 797 citations
• Going Deeper With Directly-Trained Larger Spiking Neural Networks (2020) — 736 citations
• Rethinking the performance comparison between SNNS and ANNS (2020) — 355 citations