Zhi-Hua Zhou

Artificial Intelligence · with Yu · 2014–2018

A researcher in the Science corpus: 3 papers; trusts 82 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 53 citations into it; #29,802 of 35,345 by trust here, #22,463 by citations
• Computer Vision and Pattern Recognition — 21 citations into it
• Optimization & Training — 11 citations into it
• Computational Theory and Mathematics — 10 citations into it
• Management Science and Operations Research — 7 citations into it
• Signal Processing — 7 citations into it
• Information Systems — 6 citations into it
• Representation & Self-Supervised Learning — 6 citations into it

Whom Zhi-Hua Zhou trusts overall

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

1. Yoshua Bengio
2. Geoffrey E. Hinton
3. Yann LeCun
4. L. Eon Bottou
5. Alex Krizhevsky
6. Vladimir Naumovich Vapni
7. Ilya Sutskever
8. Diederik P. Kingma
9. Ronan Collobert
10. Chih-Jen Lin

Who trusts Zhi-Hua Zhou overall

1. Da-Wei Zhou

Papers from Zhi-Hua Zhou's perspective

Ordered by how strongly the researchers Zhi-Hua Zhou 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. Long Short-Term Memory
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Attention is All you Need (Neural Information Processing Systems)
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

• Experienced Optimization with Reusable Directional Model for Hyper-Parameter Search (2018) — 13 citations
• Tunneling Neural Perception and Logic Reasoning through Abductive Learning (2018) — 24 citations
• Learning with Augmented Class by Exploiting Unlabeled Data (2014) — 111 citations