Xikun Zhang

Artificial Intelligence · with Song · 2022

A researcher in the Science corpus: 1 paper; trusts 47 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 43 citations into it
• Computer Vision and Pattern Recognition — 23 citations into it
• Meta & Continual Learning — 17 citations into it
• Representation & Self-Supervised Learning — 10 citations into it
• Graph Learning — 5 citations into it

Whom Xikun Zhang trusts overall

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

1. Alex Krizhevsky
2. Geoffrey E. Hinton
3. Yoshua Bengio
4. Jaehong Yoon
5. Diederik P. Kingma
6. Rahaf Aljundi
7. Yann LeCun
8. Kaiming He
9. Thomas Kipf
10. Marc'Aurelio Ranzato

Papers from Xikun Zhang's perspective

Ordered by how strongly the researchers Xikun Zhang 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. Attention is All you Need (Neural Information Processing Systems)
6. ImageNet: A large-scale hierarchical image database
7. Learning Multiple Layers of Features from Tiny Images
8. Long Short-Term Memory
9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• CGLB: Benchmark Tasks for Continual Graph Learning (2022) — 74 citations