Hao Zhang

Artificial Intelligence · with Chen · 2018

A researcher in the Science corpus: 1 paper; trusts 10 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 13 citations into it
• Probabilistic & Bayesian Methods — 13 citations into it
• Computer Vision and Pattern Recognition — 7 citations into it

Whom Hao Zhang trusts overall

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

1. Diederik P. Kingma
2. Geoffrey E. Hinton
3. David M. Blei
4. Michael I. Jordan
5. Ruslan Salakhutdinov
6. Matthew D. Hoffman
7. Danilo Jimenez Rezende
8. Radford M. Neal
9. Max Welling
10. Yoshua Bengio

Who trusts Hao Zhang overall

1. Weonyoung Joo
2. Wonsung Lee

Papers from Hao Zhang's perspective

Ordered by how strongly the researchers Hao 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. Long Short-Term Memory
7. ImageNet: A large-scale hierarchical image database
8. Learning Multiple Layers of Features from Tiny Images
9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers

• WHAI: Weibull Hybrid Autoencoding Inference for Deep Topic Modeling (2018) — 130 citations