Heng Chang

Artificial Intelligence · 2020

A researcher in the Science corpus: 1 paper; trusts 7 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 33 citations into it
• Graph Learning — 21 citations into it
• Statistical and Nonlinear Physics — 11 citations into it
• Computer Vision and Pattern Recognition — 10 citations into it

Whom Heng Chang trusts overall

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

1. Chih-Jen Lin
2. Hanjun Dai
3. Yoshua Bengio
4. Geoffrey E. Hinton
5. Thomas Kipf
6. Petar Velickovic
7. Diederik P. Kingma
8. Jure Leskovec
9. William L. Hamilton
10. Max Welling

Papers from Heng Chang's perspective

Ordered by how strongly the researchers Heng 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. Attention is All you Need (Neural Information Processing Systems)
5. Long Short-Term Memory
6. Gradient-based learning applied to document recognition
7. ImageNet: A large-scale hierarchical image database
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. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers

• Implicit Graph Neural Networks (2020) — 181 citations