Haifeng Wang

European Journal of Operational Research · with Yoon · 2017–2018

A researcher in the Science corpus: 2 papers; trusts 2 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Whom Haifeng Wang trusts overall

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

1. Andrew L. Maas
2. Cédric Villani
3. Geoffrey E. Hinton
4. Patrice Y. Simard
5. Martín Arjovsky
6. Nitish Srivastava
7. David Berthelot

Who trusts Haifeng Wang overall

1. Arvid Lundervold

Papers from Haifeng Wang's perspective

Ordered by how strongly the researchers Haifeng Wang trusts endorse each paper. Same corpus, a different order for every researcher.

1. ImageNet classification with deep convolutional neural networks
2. Dropout: a simple way to prevent neural networks from overfitting
3. Gradient-based learning applied to document recognition
4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
5. Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks
6. Long Short-Term Memory
7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
8. Learning Multiple Layers of Features from Tiny Images
9. Attention is All you Need (Neural Information Processing Systems)
10. ImageNet: A large-scale hierarchical image database

Their papers

• Medical Image Synthesis with Generative Adversarial Networks for Tissue Recognition (2018) — 61 citations
• A support vector machine-based ensemble algorithm for breast cancer diagnosis (2017) — 382 citations