Haowei He

Artificial Intelligence · 2019

A researcher in the Science corpus: 1 paper; trusts 32 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 41 citations into it; #28,004 of 35,345 by trust here, #29,412 by citations
• Optimization & Training — 25 citations into it
• Computer Vision and Pattern Recognition — 23 citations into it; #17,237 of 21,575 by trust here, #18,782 by citations
• Scaling & Learning Theory — 21 citations into it
• Computational Mechanics — 10 citations into it

Whom Haowei He trusts overall

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

1. Kaiming He
2. Zeyuan Allen-Zhu
3. Gao Huang
4. Geoffrey E. Hinton
5. Alex Krizhevsky
6. Yoshua Bengio
7. Yann LeCun
8. Diederik P. Kingma
9. X. Zhang
10. Ilya Sutskever

Who trusts Haowei He overall

1. Jean Kaddour
2. Daehee Kim
3. Ricardo M. A. Silva
4. Seunghyun Park
5. Pan Zhou

Papers from Haowei He's perspective

Ordered by how strongly the researchers Haowei He 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. Attention is All you Need (Neural Information Processing Systems)
6. Long Short-Term Memory
7. ImageNet: A large-scale hierarchical image database
8. Learning Multiple Layers of Features from Tiny Images
9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• Asymmetric Valleys: Beyond Sharp and Flat Local Minima (2019) — 166 citations