Woonggi Chang

Artificial Intelligence · 2019

A researcher in the Science corpus: 1 paper; trusts 25 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 25 citations into it
• Computer Vision and Pattern Recognition — 20 citations into it
• Representation & Self-Supervised Learning — 15 citations into it

Whom Woonggi Chang trusts overall

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

1. Kate Saenko
2. Baochen Sun
3. Mingsheng Long
4. Geoffrey E. Hinton
5. Alex Krizhevsky
6. Kuniaki Saito
7. Kaiming He
8. Diederik P. Kingma
9. Yoshua Bengio
10. Ross B. Girshick

Who trusts Woonggi Chang overall

1. Kuniaki Saito
2. Kan Wang
3. Jian Liang
4. Hyeonseob Nam
5. Seonguk Seo
6. Xiaoxiao Li
7. Wenbing Huang
8. Zhihe Lu
9. Stan Sclaroff
10. Pengfei Wang

Papers from Woonggi Chang's perspective

Ordered by how strongly the researchers Woonggi Chang 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. Gradient-based learning applied to document recognition
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. ImageNet: A large-scale hierarchical image database
6. Long Short-Term Memory
7. Attention is All you Need (Neural Information Processing Systems)
8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
9. ImageNet Large Scale Visual Recognition Challenge
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• Domain-Specific Batch Normalization for Unsupervised Domain Adaptation (2019) — 435 citations