Jincheng Yu

Artificial Intelligence · with Kwok · 2023

A researcher in the Science corpus: 2 papers; trusts 21 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 77 citations into it
• Computer Vision and Pattern Recognition — 59 citations into it
• Generative Models — 19 citations into it

Whom Jincheng Yu trusts overall

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

1. Geoffrey E. Hinton
2. Diederik P. Kingma
3. Kaiming He
4. Alex Krizhevsky
5. Yoshua Bengio
6. Yann LeCun
7. Jonathan Ho
8. Ilya Sutskever
9. Ross B. Girshick
10. Jia Deng

Papers from Jincheng Yu's perspective

Ordered by how strongly the researchers Jincheng Yu 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. ImageNet: A large-scale hierarchical image database
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Long Short-Term Memory
7. Gradient-based learning applied to document recognition
8. ImageNet Large Scale Visual Recognition Challenge
9. GENERATIVE ADVERSARIAL NETS
10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers

• PixArt-α: Fast Training of Diffusion Transformer for Photorealistic Text-to-Image Synthesis (2023) — 927 citations
• MetaMath: Bootstrap Your Own Mathematical Questions for Large Language Models (2023) — 702 citations