Huanrui Yang

Computer Vision and Pattern Recognition · 2018–2020

A researcher in the Science corpus: 5 papers; trusts 321 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 85 citations into it
• Artificial Intelligence — 75 citations into it
• Efficiency & Compression — 38 citations into it
• Model Architectures — 21 citations into it
• Optimization & Training — 12 citations into it
• Management Science and Operations Research — 11 citations into it
• Computational Mechanics — 10 citations into it
• Media Technology — 10 citations into it

Whom Huanrui Yang trusts overall

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

1. Alex Krizhevsky
2. Kaiming He
3. Geoffrey E. Hinton
4. Karen Simonyan
5. Diederik P. Kingma
6. Yann LeCun
7. Robert Tibshirani
8. Ross B. Girshick
9. Yoshua Bengio
10. X. Zhang

Who trusts Huanrui Yang overall

1. Mark Kurtz
2. Mikhail Khodak

Papers from Huanrui Yang's perspective

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

Their papers

• DPATCH: An Adversarial Patch Attack on Object Detectors (2018) — 366 citations
• Stock Price Movement Prediction from Financial News with Deep Learning and Knowledge Graph Embedding (2018) — 44 citations
• Learning Low-rank Deep Neural Networks via Singular Vector Orthogonality Regularization and Singular Value Sparsification (2020) — 96 citations
• DeepHoyer: Learning Sparser Neural Network with Differentiable Scale-Invariant Sparsity Measures (2019) — 115 citations
• DeepObfuscator: Adversarial Training Framework for Privacy-Preserving Image Classification (2019) — 45 citations