Yuancheng Ye

Computer Vision and Pattern Recognition · 2018–2019

A researcher in the Science corpus: 2 papers; trusts 52 researchers and is trusted by 45 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 33 citations into it; #4,595 of 21,575 by trust here, #2,468 by citations
• Artificial Intelligence — 31 citations into it; #5,774 of 35,345 by trust here, #3,246 by citations
• Meta & Continual Learning — 13 citations into it; #117 of 1,041 by trust here, #36 by citations
• Representation & Self-Supervised Learning — 10 citations into it

Whom Yuancheng Ye trusts overall

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

1. Alex Krizhevsky
2. Geoffrey E. Hinton
3. Kaiming He
4. Karen Simonyan
5. Yandong Guo
6. Yoshua Bengio
7. Yann LeCun
8. Andrew Zisserman
9. Diederik P. Kingma
10. X. Zhang

Who trusts Yuancheng Ye overall

1. Da-Wei Zhou
2. Ali Ayub
3. Yaoyao Liu
4. Jiangpeng He
5. Timothée Lesort
6. Tyler L. Hayes
7. Gyuhak Kim
8. Arthur Douillard
9. Zheda Mai
10. Umberto Michieli

Papers from Yuancheng Ye's perspective

Ordered by how strongly the researchers Yuancheng Ye 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. Learning Multiple Layers of Features from Tiny Images
4. ImageNet Large Scale Visual Recognition Challenge
5. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
6. Gradient-based learning applied to document recognition
7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
8. ImageNet: A large-scale hierarchical image database
9. GENERATIVE ADVERSARIAL NETS
10. Long Short-Term Memory

Their papers

• Large Scale Incremental Learning (2019) — 1,535 citations
• Incremental Classifier Learning with Generative Adversarial Networks (2018) — 117 citations