Peidong Jia

Artificial Intelligence · 2023

A researcher in the Science corpus: 1 paper; trusts 61 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 — 37 citations into it
• Representation & Self-Supervised Learning — 12 citations into it

Whom Peidong Jia trusts overall

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

1. Alex Krizhevsky
2. Kaiming He
3. Geoffrey E. Hinton
4. Diederik P. Kingma
5. Shaoqing Ren
6. Yoshua Bengio
7. Ross B. Girshick
8. Yann LeCun
9. Ilya Sutskever
10. Jimmy Ba

Papers from Peidong Jia's perspective

Ordered by how strongly the researchers Peidong Jia 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. Learning Multiple Layers of Features from Tiny Images
6. ImageNet: A large-scale hierarchical image database
7. Attention is All you Need (Neural Information Processing Systems)
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

• ViDA: Homeostatic Visual Domain Adapter for Continual Test Time Adaptation (2023) — 80 citations