Haibin Chang

Environmental Engineering · 2017–2019

A researcher in the Science corpus: 2 papers; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Environmental Engineering — 13 citations into it
• Artificial Intelligence — 12 citations into it
• Management Science and Operations Research — 5 citations into it

Whom Haibin Chang trusts overall

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

1. L. Eon Bottou
2. Yan Chen
3. Diederik P. Kingma
4. Dean S. Oliver
5. Dongbin Xiu
6. Dongxiao Zhang

Papers from Haibin Chang's perspective

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

1. ImageNet classification with deep convolutional neural networks
2. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
3. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
5. Deep Learning
6. Automatic differentiation in PyTorch
7. A unified architecture for natural language processing: deep neural networks with multitask learning
8. Long Short-Term Memory
9. Gradient-based learning applied to document recognition
10. Attention is All you Need (Neural Information Processing Systems)

Their papers

• Deep Learning of Subsurface Flow via Theory-guided Neural Network (2019) — 299 citations
• Surrogate model based iterative ensemble smoother for subsurface flow data assimilation (2017) — 47 citations