Yaodong Zhang

Artificial Intelligence · 2009–2014

A researcher in the Science corpus: 2 papers; trusts 8 researchers and is trusted by 43 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 9 citations into it; #4,096 of 35,345 by trust here, #12,580 by citations
• Signal Processing — 7 citations into it; #534 of 7,572 by trust here, #1,783 by citations
• Representation & Self-Supervised Learning — 5 citations into it; #574 of 3,145 by trust here, #1,622 by citations

Whom Yaodong Zhang trusts overall

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

1. Alex Seungryong Park
2. Yoshua Bengio
3. Timothy J. Hazen
4. Geoffrey E. Hinton
5. James R. Glass
6. Wade Shen
7. Pascal Vincent
8. Oriol Vinyals
9. Diederik P. Kingma
10. Alex Krizhevsky

Who trusts Yaodong Zhang overall

1. Herman Kamper
2. Chia-ying Lee
3. Aren Jansen
4. James R. Glass
5. David F. Harwath
6. Hongjie Chen
7. Shane Settle
8. Karen Livescu
9. Cheung Chi Leung
10. Alexei Baevski

Papers from Yaodong Zhang's perspective

Ordered by how strongly the researchers Yaodong 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. Long Short-Term Memory
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Attention is All you Need (Neural Information Processing Systems)
6. Gradient-based learning applied to document recognition
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. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Unsupervised spoken keyword spotting via segmental DTW on Gaussian posteriorgrams (2009) — 376 citations
• Speech feature denoising and dereverberation via deep autoencoders for noisy reverberant speech recognition (2014) — 216 citations