Shipeng Wang

Artificial Intelligence · 2021

A researcher in the Science corpus: 1 paper; trusts 51 researchers and is trusted by 5 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 38 citations into it; #22,772 of 35,345 by trust here, #21,878 by citations
• Computer Vision and Pattern Recognition — 30 citations into it; #14,051 of 21,575 by trust here, #14,478 by citations
• Representation & Self-Supervised Learning — 13 citations into it
• Optimization & Training — 5 citations into it

Whom Shipeng Wang trusts overall

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

1. Diederik P. Kingma
2. Kaiming He
3. Geoffrey E. Hinton
4. Alex Krizhevsky
5. Yoshua Bengio
6. Yann LeCun
7. Jimmy Ba
8. Carl Dean Meyer
9. Dzmitry Bahdanau
10. Marc'Aurelio Ranzato

Who trusts Shipeng Wang overall

1. Da-Wei Zhou
2. Fei Ye
3. Yabin Wang
4. Liangzu Peng
5. Arjun Ashok
6. Do-Yeon Kim
7. Yajing Kong
8. Zhiwu Huang
9. Haoxuan Qu
10. Qiwen Wang

Papers from Shipeng Wang's perspective

Ordered by how strongly the researchers Shipeng Wang 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Gradient-based learning applied to document recognition
5. ImageNet: A large-scale hierarchical image database
6. Attention is All you Need (Neural Information Processing Systems)
7. ImageNet Large Scale Visual Recognition Challenge
8. Long Short-Term Memory
9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• Training Networks in Null Space of Feature Covariance for Continual Learning (2021) — 225 citations