Dingyuan Zhu

Artificial Intelligence · 2019

A researcher in the Science corpus: 1 paper; trusts 12 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 22 citations into it; #31,691 of 35,345 by trust here, #23,731 by citations
• Graph Learning — 22 citations into it
• Statistical and Nonlinear Physics — 7 citations into it
• Computer Vision and Pattern Recognition — 6 citations into it
• Molecular Biology — 5 citations into it

Whom Dingyuan Zhu trusts overall

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

1. Diederik P. Kingma
2. Carl Doersch
3. Yoshua Bengio
4. Geoffrey E. Hinton
5. Xavier Glorot
6. Thomas Kipf
7. Max Welling
8. Yann LeCun
9. Jimmy Ba
10. Daniel Zügner

Who trusts Dingyuan Zhu overall

1. Marinka Zitnik
2. Lichao Sun
3. Wei Jin
4. Yingtong Dou

Papers from Dingyuan Zhu's perspective

Ordered by how strongly the researchers Dingyuan Zhu 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. Attention is All you Need (Neural Information Processing Systems)
5. Long Short-Term Memory
6. Gradient-based learning applied to document recognition
7. ImageNet: A large-scale hierarchical image database
8. Learning Multiple Layers of Features from Tiny Images
9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Robust Graph Convolutional Networks Against Adversarial Attacks (2019) — 559 citations