D. Jia

Signal Processing · with Biswas · 2020

A researcher in the Science corpus: 1 paper; trusts 18 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

• Signal Processing — 14 citations into it; #5,114 of 7,572 by trust here, #7,112 by citations
• Computer Vision and Pattern Recognition — 10 citations into it; #15,231 of 21,575 by trust here, #20,756 by citations
• Generative Models — 6 citations into it; #1,449 of 1,956 by trust here, #1,926 by citations
• Artificial Intelligence — 5 citations into it
• Speech & Audio — 5 citations into it; #758 of 1,076 by trust here, #1,043 by citations

Whom D. Jia trusts overall

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

1. Individualized Treat
2. Jan Skoglund
3. K. Fisher
4. Christophe Veaux
5. Santiago Pascual
6. Andreas S. Spanias
7. Chi-Min Liu
8. Cassia Valentini-Botinhao
9. Aäron van den Oord
10. Junichi Yamagishi

Who trusts D. Jia overall

1. Haici Yang
2. Neil Zeghidour

Papers from D. Jia's perspective

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

1. GENERATIVE ADVERSARIAL NETS
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. ImageNet classification with deep convolutional neural networks
5. WaveNet: A Generative Model for Raw Audio
6. Long Short-Term Memory
7. Attention is All you Need (Neural Information Processing Systems)
8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
9. Gradient-based learning applied to document recognition
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• Audio Codec Enhancement with Generative Adversarial Networks (2020) — 46 citations