Xingcheng Ran

Artificial Intelligence · 2022

A researcher in the Science corpus: 1 paper; trusts 6 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 20 citations into it
• Computer Vision and Pattern Recognition — 10 citations into it
• Signal Processing — 10 citations into it
• Statistical and Nonlinear Physics — 6 citations into it

Whom Xingcheng Ran trusts overall

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

1. George Karypis
2. Ying Zhao
3. Fionn Murtagh
4. Teuvo Kohonen
5. Daniel Boley
6. Ulrike von Luxburg
7. Daniel Müllner
8. Roded Sharan
9. Kimmo Vehkalahti
10. Deng Cai

Papers from Xingcheng Ran's perspective

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

Their papers

• Comprehensive survey on hierarchical clustering algorithms and the recent developments (2022) — 329 citations