Jing Zhang

Artificial Intelligence · 1 papers · 2020

A researcher in the Science corpus: 1 paper; trusts 6 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 35 citations into it
• Statistical and Nonlinear Physics — 22 citations into it
• Graph Learning — 21 citations into it
• Computer Vision and Pattern Recognition — 14 citations into it

Whom Jing Zhang trusts overall

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

1. Jure Leskovec
2. Diederik P. Kingma
3. Geoffrey E. Hinton
4. Chih-Jen Lin
5. Yoshua Bengio

Papers from Jing Zhang's perspective

Ordered by how strongly the researchers Jing Zhang trusts endorse each paper. Same corpus, a different order for every researcher.

1. Attention is All you Need (Neural Information Processing Systems)
2. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
3. ImageNet classification with deep convolutional neural networks
4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
5. Distributed Representations of Words and Phrases and their Compositionality (Neural Information Processing Systems)
6. Long Short-Term Memory
7. Gradient-based learning applied to document recognition
8. ImageNet: A large-scale hierarchical image database
9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• GCC: Graph Contrastive Coding for Graph Neural Network Pre-Training (2020) — 1,143 citations