Yao Qin

Computer Vision and Pattern Recognition · 2015–2019

A researcher in the Science corpus: 4 papers; trusts 195 researchers and is trusted by 9 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 57 citations into it; #10,456 of 21,575 by trust here, #11,083 by citations
• Artificial Intelligence — 42 citations into it; #28,872 of 35,345 by trust here, #15,004 by citations
• Natural Language Processing — 16 citations into it
• Model Architectures — 15 citations into it; #1,857 of 2,278 by trust here, #1,421 by citations
• Safety, Robustness & Interpretability — 11 citations into it
• Sensory Systems — 7 citations into it; #199 of 760 by trust here, #347 by citations
• Optimization & Training — 5 citations into it

Whom Yao Qin trusts overall

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

1. Ilya Sutskever
2. Diederik P. Kingma
3. Geoffrey E. Hinton
4. Yoshua Bengio
5. Alex Krizhevsky
6. Dzmitry Bahdanau
7. Kaiming He
8. Yann LeCun
9. Jimmy Ba
10. Kyunghyun Cho

Who trusts Yao Qin overall

1. Pingping Zhang
2. Guanbin Li
3. Huchuan Lu
4. Weiwei Jiang
5. Slawek Smyl
6. Yunhao Zhang
7. Dong Wang
8. Jason Kuen
9. Erico Tjoa
10. Iasonas Kokkinos

Papers from Yao Qin's perspective

Ordered by how strongly the researchers Yao Qin 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. Long Short-Term Memory
5. Attention is All you Need (Neural Information Processing Systems)
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. Going deeper with convolutions
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Saliency detection via Cellular Automata (2015) — 493 citations
• A Dual-Stage Attention-Based Recurrent Neural Network for Time Series Prediction (2017) — 1,569 citations
• Imperceptible, Robust, and Targeted Adversarial Examples for Automatic Speech Recognition (2019) — 439 citations
• Autofocus Layer for Semantic Segmentation (2018) — 126 citations