Zhengdong Zhang

Artificial Intelligence · 2020–2023

A researcher in the Science corpus: 3 papers; trusts 11 researchers and is trusted by 8 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 82 citations into it; #17,086 of 35,345 by trust here, #5,221 by citations
• Signal Processing — 51 citations into it; #3,771 of 7,572 by trust here, #509 by citations
• Speech & Audio — 39 citations into it; #585 of 1,076 by trust here, #220 by citations
• Model Architectures — 38 citations into it
• Computer Vision and Pattern Recognition — 37 citations into it
• Optimization & Training — 6 citations into it

Whom Zhengdong Zhang trusts overall

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

1. Alex Graves
2. Diederik P. Kingma
3. Geoffrey E. Hinton
4. Yoshua Bengio
5. Alex Krizhevsky
6. Kaiming He
7. Jimmy Ba
8. Ilya Sutskever
9. Yann LeCun
10. J. Urgen Schmidhuber

Who trusts Zhengdong Zhang overall

1. Yu Zhang
2. Alexei Baevski

Papers from Zhengdong Zhang's perspective

Ordered by how strongly the researchers Zhengdong Zhang 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. Attention is All you Need (Neural Information Processing Systems)
3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. ImageNet classification with deep convolutional neural networks
5. Long Short-Term Memory
6. Gradient-based learning applied to document recognition
7. ImageNet: A large-scale hierarchical image database
8. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• Conformer: Convolution-augmented Transformer for Speech Recognition (2020) — 4,195 citations
• ContextNet: Improving Convolutional Neural Networks for Automatic Speech Recognition with Global Context (2020) — 302 citations
• Noise2Music: Text-conditioned Music Generation with Diffusion Models (2023) — 263 citations