Mi Zhang

Artificial Intelligence · with Ji · 2020

A researcher in the Science corpus: 1 paper; trusts 26 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 47 citations into it; #30,918 of 35,345 by trust here, #25,040 by citations
• Natural Language Processing — 15 citations into it
• Computer Vision and Pattern Recognition — 11 citations into it
• Large Language Models — 10 citations into it; #659 of 799 by trust here, #707 by citations
• Privacy & Security — 7 citations into it
• Representation & Self-Supervised Learning — 7 citations into it
• Model Architectures — 6 citations into it

Whom Mi Zhang trusts overall

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

1. Ilya Sutskever
2. Diederik P. Kingma
3. Yoshua Bengio
4. Geoffrey E. Hinton
5. Tomas Mikolov
6. Quoc V. Le
7. Vladimir Naumovich Vapni
8. Sergey Ioffe
9. Alex Krizhevsky
10. Alec Radford

Who trusts Mi Zhang overall

1. Maria Rigaki
2. Jie Huang
3. Haoran Li

Papers from Mi Zhang's perspective

Ordered by how strongly the researchers Mi Zhang 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. 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. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
9. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
10. GENERATIVE ADVERSARIAL NETS

Their papers

• Privacy Risks of General-Purpose Language Models (2020) — 302 citations