Chenshuang Zhang

Computer Vision and Pattern Recognition · 2022–2023

A researcher in the Science corpus: 3 papers; trusts 480 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 159 citations into it
• Artificial Intelligence — 127 citations into it
• Generative Models — 82 citations into it
• Representation & Self-Supervised Learning — 37 citations into it
• Multimodal Learning — 32 citations into it
• Computer Graphics and Computer-Aided Design — 19 citations into it
• Statistical and Nonlinear Physics — 15 citations into it
• Large Language Models — 13 citations into it

Whom Chenshuang Zhang trusts overall

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

1. Geoffrey E. Hinton
2. Kaiming He
3. Diederik P. Kingma
4. Alex Krizhevsky
5. Yoshua Bengio
6. Ilya Sutskever
7. Yann LeCun
8. Ross B. Girshick
9. Karen Simonyan
10. Alec Radford

Papers from Chenshuang Zhang's perspective

Ordered by how strongly the researchers Chenshuang 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. 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. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
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

• Text-to-image Diffusion Models in Generative AI: A Survey (2023) — 439 citations
• A Survey on Audio Diffusion Models: Text To Speech Synthesis and Enhancement in Generative AI (2023) — 118 citations
• A Survey on Masked Autoencoder for Self-supervised Learning in Vision and Beyond (2022) — 102 citations