Chenglong Wang

Artificial Intelligence · with Chen · 2022

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 5 citations into it
• Computational Mechanics — 5 citations into it
• Optimization & Training — 5 citations into it

Whom Chenglong Wang trusts overall

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

1. Sebastian Ruder
2. Hanbo Wang
3. Graham M. Gibson
4. E.J. Candes
5. Reinhard Heckel
6. Y. Bromberg
7. Olaf Ronneberger
8. Dmitry Ulyanov

Papers from Chenglong Wang's perspective

Ordered by how strongly the researchers Chenglong Wang 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. U-Net: Convolutional Networks for Biomedical Image Segmentation (International Conference on Medical Image Computing and Computer-Assisted Intervention)
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Deep Learning
6. Gradient-based learning applied to document recognition
7. Attention is All you Need (Neural Information Processing Systems)
8. Learning Multiple Layers of Features from Tiny Images
9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
10. Long Short-Term Memory

Their papers

• Far-field super-resolution ghost imaging with a deep neural network constraint (2022) — 296 citations