Ruihan Yang

Computer Vision and Pattern Recognition · with Wang · 2020–2024

A researcher in the Science corpus: 3 papers; trusts 179 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 118 citations into it
• Artificial Intelligence — 93 citations into it; #29,549 of 35,345 by trust here, #20,836 by citations
• Control and Systems Engineering — 50 citations into it; #6,888 of 8,257 by trust here, #3,389 by citations
• Reinforcement Learning — 38 citations into it
• Representation & Self-Supervised Learning — 12 citations into it
• Model Architectures — 7 citations into it
• Management Science and Operations Research — 5 citations into it

Whom Ruihan Yang trusts overall

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

1. Geoffrey E. Hinton
2. Michael I. Jordan
3. Sergey Levine
4. Satinder Singh
5. Yoshua Bengio
6. Alex Krizhevsky
7. Diederik P. Kingma
8. Kaiming He
9. Yann LeCun
10. Pieter Abbeel

Who trusts Ruihan Yang overall

1. Jorge Armando Mendez Mendez
2. Shagun Sodhani
3. Bo Liu
4. Andrew Silva
5. Eric Eaton
6. Amy Zhang
7. Xingchao Liu

Papers from Ruihan Yang's perspective

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

Their papers

• DexMV: Imitation Learning for Dexterous Manipulation from Human Videos (2021) — 328 citations
• Multi-Task Reinforcement Learning with Soft Modularization (2020) — 241 citations
• SpatialRGPT: Grounded Spatial Reasoning in Vision Language Model (2024) — 364 citations