Yifan Xu
Artificial Intelligence · with Tu · 2020–2022
A researcher in the Science corpus: 4 papers; trusts 503 researchers and is trusted by 1 researcher here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 177 citations into it; #34,530 of 35,345 by trust here, #5,638 by citations
- Computer Vision and Pattern Recognition — 143 citations into it; #20,178 of 21,575 by trust here, #3,982 by citations
- Model Architectures — 46 citations into it
- Representation & Self-Supervised Learning — 25 citations into it
- Optimization & Training — 18 citations into it
Whom Yifan Xu trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Kaiming He
- Alex Krizhevsky
- Geoffrey E. Hinton
- Yann LeCun
- Diederik P. Kingma
- Ross B. Girshick
- Yoshua Bengio
- Ilya Sutskever
- Christian Szegedy
- Karen Simonyan
Who trusts Yifan Xu overall
Papers from Yifan Xu's perspective
Ordered by how strongly the researchers Yifan Xu 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)
- Gradient-based learning applied to document recognition
- Long Short-Term Memory
- ImageNet: A large-scale hierarchical image database
- 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
- Co-Scale Conv-Attentional Image Transformers (2021) — 466 citations
- GLM-130B: An Open Bilingual Pre-trained Model (2022) — 1,288 citations
- Pose Recognition with Cascade Transformers (2021) — 269 citations
- Guided Variational Autoencoder for Disentanglement Learning (2020) — 126 citations