Zehua Chen

Computer Vision and Pattern Recognition · with Liu · 2022–2023

A researcher in the Science corpus: 2 papers; trusts 19 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 46 citations into it
• Generative Models — 43 citations into it
• Signal Processing — 39 citations into it
• Artificial Intelligence — 30 citations into it
• Statistical and Nonlinear Physics — 18 citations into it

Whom Zehua Chen trusts overall

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

1. Diederik P. Kingma
2. Jonathan Ho
3. Geoffrey E. Hinton
4. Jimmy Ba
5. Yoshua Bengio
6. Alex Krizhevsky
7. Jiaming Song
8. Kaiming He
9. Yann LeCun
10. Ilya Sutskever

Who trusts Zehua Chen overall

1. Yuma Koizumi
2. Cong Han
3. Haohe Liu
4. Kohei Yatabe

Papers from Zehua Chen's perspective

Ordered by how strongly the researchers Zehua Chen 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. ImageNet: A large-scale hierarchical image database
7. Gradient-based learning applied to document recognition
8. GENERATIVE ADVERSARIAL NETS
9. Learning Multiple Layers of Features from Tiny Images
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• AudioLDM: Text-to-Audio Generation with Latent Diffusion Models (2023) — 854 citations
• Infergrad: Improving Diffusion Models for Vocoder by Considering Inference in Training (2022) — 37 citations