Zhongzhi Shi

Artificial Intelligence · with He · 2004–2013

A researcher in the Science corpus: 4 papers; trusts 9 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 20 citations into it
• Representation & Self-Supervised Learning — 17 citations into it
• Computer Vision and Pattern Recognition — 15 citations into it

Whom Zhongzhi Shi trusts overall

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

1. Thorsten Joachims
2. Geoffrey E. Hinton
3. Claude E. Shannon
4. Yoshua Bengio
5. Yann LeCun

Papers from Zhongzhi Shi's perspective

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

1. Gradient-based learning applied to document recognition
2. ImageNet classification with deep convolutional neural networks
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. This PDF file includes: Materials and Methods
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Attention is All you Need (Neural Information Processing Systems)
7. Long Short-Term Memory
8. Extracting and composing robust features with denoising autoencoders
9. Learning Multiple Layers of Features from Tiny Images
10. ImageNet: A large-scale hierarchical image database

Their papers

• The Information Entropy, Rough Entropy And Knowledge Granulation In Rough Set Theory (2004) — 341 citations
• Embedding with Autoencoder Regularization (2013) — 48 citations
• Cross-Domain Learning from Multiple Sources: A Consensus Regularization Perspective (2010) — 69 citations
• Information entropy, rough entropy and knowledge granulation in incomplete information systems (2006) — 316 citations