Yinhuai Wang

Computer Vision and Pattern Recognition · 2022–2023

A researcher in the Science corpus: 2 papers; trusts 136 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 64 citations into it
• Generative Models — 43 citations into it
• Artificial Intelligence — 11 citations into it
• Statistical and Nonlinear Physics — 11 citations into it
• Probabilistic & Bayesian Methods — 7 citations into it
• Biophysics — 5 citations into it

Whom Yinhuai Wang trusts overall

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

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

Who trusts Yinhuai Wang overall

1. Jiwen Yu
2. Arpit Bansal
3. Fanghua Yu
4. X. Lin
5. Zixiang Zhao
6. Jingwen He
7. Hong-Min Chu

Papers from Yinhuai Wang's perspective

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

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

Their papers

• Zero-Shot Image Restoration Using Denoising Diffusion Null-Space Model (2022) — 767 citations
• FreeDoM: Training-Free Energy-Guided Conditional Diffusion Model (2023) — 344 citations