Ken Chang

Artificial Intelligence · 2017–2020

A researcher in the Science corpus: 3 papers; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 19 citations into it
• Computer Vision and Pattern Recognition — 13 citations into it
• Optimization & Training — 12 citations into it

Whom Ken Chang trusts overall

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

1. Kaiming He
2. Sergey Ioffe
3. Geoffrey E. Hinton
4. Yoshua Bengio
5. Hang Su
6. Xavier Glorot
7. Alex Krizhevsky
8. Christian Szegedy
9. Yann LeCun
10. X. Zhang

Who trusts Ken Chang overall

1. Liangqi Yuan
2. Brett K. Beaulieu-Jones
3. Vivek Sharma
4. Arvid Lundervold

Papers from Ken Chang's perspective

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

1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
2. ImageNet classification with deep convolutional neural networks
3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Gradient-based learning applied to document recognition
5. Long Short-Term Memory
6. ImageNet Large Scale Visual Recognition Challenge
7. Attention is All you Need (Neural Information Processing Systems)
8. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
9. ImageNet: A large-scale hierarchical image database
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• Distributed deep learning networks among institutions for medical imaging (2018) — 315 citations
• The unreasonable effectiveness of Batch-Norm statistics in addressing catastrophic forgetting across medical institutions (2020) — 3 citations
• Residual Convolutional Neural Network for Determination of IDH Status in Low- and High-grade Gliomas from MR Imaging (2017) — 336 citations