Hui Zhong

Artificial Intelligence · 2020

A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 25 citations into it
• Graph Learning — 15 citations into it

Whom Hui Zhong trusts

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

1. Jure Leskovec (in Artificial Intelligence)
2. Mark J van Rossum (in Neuroscience)
3. Max Welling (in Artificial Intelligence)
4. Thomas Kipf (in Artificial Intelligence)

Papers from Hui Zhong's perspective

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

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

Their papers

• Masked Label Prediction: Unified Massage Passing Model for Semi-Supervised Classification (2020) — 1,148 citations