Xingyi Cheng
Computer Vision and Pattern Recognition · 2020–2023
A researcher in the Science corpus: 4 papers; trusts 364 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 119 citations into it
- Artificial Intelligence — 99 citations into it
- Model Architectures — 41 citations into it
- Natural Language Processing — 35 citations into it
- Large Language Models — 19 citations into it
Whom Xingyi Cheng trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Kaiming He
- Ross B. Girshick
- Geoffrey E. Hinton
- Alex Krizhevsky
- Diederik P. Kingma
- Yoshua Bengio
- Ilya Sutskever
- Yann LeCun
- Karen Simonyan
- Andrew Zisserman
Who trusts Xingyi Cheng overall
Papers from Xingyi Cheng's perspective
Ordered by how strongly the researchers Xingyi Cheng trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Attention is All you Need (Neural Information Processing Systems)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- ImageNet: A large-scale hierarchical image database
- Gradient-based learning applied to document recognition
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- ImageNet Large Scale Visual Recognition Challenge
- Going deeper with convolutions
Their papers
- Improving Video-Text Retrieval by Multi-Stream Corpus Alignment and Dual Softmax Loss (2021) — 187 citations
- Large Scale Foundation Model on Single-cell Transcriptomics (2023) — 584 citations
- CAT: Cross Attention in Vision Transformer (2021) — 316 citations
- Question Directed Graph Attention Network for Numerical Reasoning over Text (2020) — 69 citations