Huangjie Zheng

Computer Vision and Pattern Recognition · 2018–2022

A researcher in the Science corpus: 2 papers; trusts 172 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 65 citations into it
• Generative Models — 63 citations into it
• Artificial Intelligence — 45 citations into it
• Statistical and Nonlinear Physics — 17 citations into it
• Probabilistic & Bayesian Methods — 13 citations into it
• Representation & Self-Supervised Learning — 11 citations into it
• Optimization & Training — 8 citations into it
• Model Architectures — 5 citations into it

Whom Huangjie Zheng trusts overall

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

1. Diederik P. Kingma
2. Geoffrey E. Hinton
3. Yoshua Bengio
4. Max Welling
5. Alex Krizhevsky
6. Radford M. Neal
7. Tim Salimans
8. Kaiming He
9. Danilo Jimenez Rezende
10. Yann LeCun

Who trusts Huangjie Zheng overall

1. Tianwei Yin

Papers from Huangjie Zheng's perspective

Ordered by how strongly the researchers Huangjie Zheng 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. Long Short-Term Memory
6. Gradient-based learning applied to document recognition
7. ImageNet: A large-scale hierarchical image database
8. Learning Multiple Layers of Features from Tiny Images
9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
10. GENERATIVE ADVERSARIAL NETS

Their papers

• Diffusion-GAN: Training GANs with Diffusion (2022) — 343 citations
• Degeneration in VAE: in the Light of Fisher Information Loss (2018) — 18 citations