Ning Wu

Signal Processing · 2020

A researcher in the Science corpus: 1 paper; trusts 35 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Signal Processing — 13 citations into it; #6,787 of 7,572 by trust here, #6,836 by citations
• Artificial Intelligence — 12 citations into it; #31,473 of 35,345 by trust here, #32,362 by citations
• Generative Models — 9 citations into it; #1,752 of 1,956 by trust here, #1,902 by citations
• Speech & Audio — 8 citations into it; #939 of 1,076 by trust here, #1,022 by citations
• Computer Vision and Pattern Recognition — 7 citations into it

Whom Ning Wu trusts overall

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

1. Diederik P. Kingma
2. Michael F. Hutchinson
3. Aäron van den Oord
4. Heiga Zen
5. Laurent Dinh
6. Geoffrey E. Hinton
7. Yoshua Bengio
8. Hideki Kawahara
9. Nal Kalchbrenner
10. Wei Ping

Who trusts Ning Wu overall

1. Yi-Chiao Wu
2. Tomoki Hayashi
3. Nanxin Chen

Papers from Ning Wu's perspective

Ordered by how strongly the researchers Ning Wu 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. ImageNet classification with deep convolutional neural networks
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. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
9. GENERATIVE ADVERSARIAL NETS
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• WaveFFJORD: FFJORD-Based Vocoder for Statistical Parametric Speech Synthesis (2020) — 9 citations