Xupeng Miao

Artificial Intelligence · 2020–2021

A researcher in the Science corpus: 3 papers; trusts 67 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 — 69 citations into it
• Evaluation & Benchmarks — 5 citations into it

Whom Xupeng Miao trusts overall

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

1. Geoffrey E. Hinton
2. Leo Breiman
3. Alex Krizhevsky
4. Yoshua Bengio
5. Yann LeCun
6. Kaiming He
7. Diederik P. Kingma
8. Ilya Sutskever
9. Ruslan Salakhutdinov
10. Ross B. Girshick

Papers from Xupeng Miao's perspective

Ordered by how strongly the researchers Xupeng Miao trusts endorse each paper. Same corpus, a different order for every researcher.

1. ImageNet classification with deep convolutional neural networks
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
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. Learning Multiple Layers of Features from Tiny Images
9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Dense-to-Sparse Gate for Mixture-of-Experts (2021) — 36 citations
• PointCLIP: Point Cloud Understanding by CLIP (2021) — 671 citations
• Reliable Data Distillation on Graph Convolutional Network (2020) — 102 citations