Yongyi Yang

Artificial Intelligence · 2002–2009

A researcher in the Science corpus: 4 papers; trusts 7 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 11 citations into it; #17,078 of 35,345 by trust here, #13,163 by citations
• Statistical Learning Theory — 6 citations into it
• Natural Language Processing — 5 citations into it

Whom Yongyi Yang trusts overall

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

1. C. Burges
2. Yuhai Wu
3. Christopher K. I. Williams
4. David Ruppert
5. Donald F. Specht
6. Issam El-Naqa
7. Yoav Freund
8. George Eastman House
9. Thorsten Joachims
10. Sebastian Mika

Who trusts Yongyi Yang overall

1. I. E. El Naqa
2. Shijun Wang
3. Ronald M. Summers
4. Paul Sajda
5. Rangaraj Mandayam Rangayyan
6. Miguel Angel Bautista
7. Farid Melgani
8. Liyang Wei

Papers from Yongyi Yang's perspective

Ordered by how strongly the researchers Yongyi 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. Learning Multiple Layers of Features from Tiny Images
6. Statistical Learning Theory
7. Long Short-Term Memory
8. Attention is All you Need (Neural Information Processing Systems)
9. Advances in kernel methods: support vector learning
10. Learning with Kernels: Support Vector Machines, Regularization, Optimization, and Beyond

Their papers

• A support vector machine approach for detection of microcalcifications (2002) — 574 citations
• Computer-Aided Detection and Diagnosis of Breast Cancer With Mammography: Recent Advances (2009) — 641 citations
• A study on several Machine-learning methods for classification of Malignant and benign clustered microcalcifications (2005) — 318 citations
• A similarity learning approach to content-based image retrieval: application to digital mammography (2004) — 312 citations