Ji Zhang

Artificial Intelligence · with Gao · 2021–2022

A researcher in the Science corpus: 3 papers; trusts 270 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 91 citations into it
• Computer Vision and Pattern Recognition — 75 citations into it
• Representation & Self-Supervised Learning — 41 citations into it
• Meta & Continual Learning — 35 citations into it
• Optimization & Training — 16 citations into it

Whom Ji Zhang trusts overall

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

1. Alex Krizhevsky
2. Geoffrey E. Hinton
3. Kaiming He
4. Yoshua Bengio
5. Oriol Vinyals
6. Diederik P. Kingma
7. Yann LeCun
8. Ilya Sutskever
9. Ross B. Girshick
10. Karen Simonyan

Who trusts Ji Zhang overall

1. Jingkuan Song
2. Cheng Chen

Papers from Ji Zhang's perspective

Ordered by how strongly the researchers Ji 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. Attention is All you Need (Neural Information Processing Systems)
5. Gradient-based learning applied to document recognition
6. ImageNet: A large-scale hierarchical image database
7. Long Short-Term Memory
8. ImageNet Large Scale Visual Recognition Challenge
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

• Class Gradient Projection For Continual Learning (2022) — 26 citations
• Progressive Meta-Learning With Curriculum (2022) — 71 citations
• Curriculum-Based Meta-learning (2021) — 28 citations