Bingliang Zhang

Computer Vision and Pattern Recognition · 2022–2023

A researcher in the Science corpus: 2 papers; trusts 222 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 113 citations into it
• Generative Models — 88 citations into it
• Artificial Intelligence — 55 citations into it
• Statistical and Nonlinear Physics — 16 citations into it
• Signal Processing — 8 citations into it
• Biophysics — 5 citations into it
• Media Technology — 5 citations into it

Whom Bingliang Zhang trusts overall

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

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

Who trusts Bingliang Zhang overall

1. Rohit Gandikota
2. Tao Yang

Papers from Bingliang Zhang's perspective

Ordered by how strongly the researchers Bingliang 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. Attention is All you Need (Neural Information Processing Systems)
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. ImageNet: A large-scale hierarchical image database
6. Long Short-Term Memory
7. Gradient-based learning applied to document recognition
8. ImageNet Large Scale Visual Recognition Challenge
9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• Multi-Concept Customization of Text-to-Image Diffusion (2022) — 1,364 citations
• Ablating Concepts in Text-to-Image Diffusion Models (2023) — 361 citations