Wei Chen

Artificial Intelligence · with Yang · 2020

A researcher in the Science corpus: 1 paper; trusts 9 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 17 citations into it
• Generative Models — 17 citations into it
• Signal Processing — 16 citations into it
• Computer Vision and Pattern Recognition — 13 citations into it
• Speech & Audio — 10 citations into it

Whom Wei Chen trusts overall

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

1. Diederik P. Kingma
2. Jean-Marc Valin

Papers from Wei Chen's perspective

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

1. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
2. WaveNet: A Generative Model for Raw Audio
3. Density estimation using Real NVP
4. Attention is All you Need (Neural Information Processing Systems)
5. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
6. Parallel WaveNet: Fast High-Fidelity Speech Synthesis
7. ImageNet classification with deep convolutional neural networks
8. Long Short-Term Memory
9. Improved Training of Wasserstein GANs
10. NICE: Non-linear Independent Components Estimation

Their papers

• Multi-Band Melgan: Faster Waveform Generation For High-Quality Text-To-Speech (2020) — 238 citations