Zhe Ye

Artificial Intelligence · 2023

A researcher in the Science corpus: 2 papers; trusts 13 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 70 citations into it
• Signal Processing — 59 citations into it
• Speech & Audio — 54 citations into it
• Generative Models — 31 citations into it
• Computer Vision and Pattern Recognition — 14 citations into it

Whom Zhe Ye trusts overall

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

1. Diederik P. Kingma
2. Geoffrey E. Hinton
3. Yang Song
4. Aäron van den Oord
5. Yoshua Bengio
6. Alex Krizhevsky
7. B.D.O. Anderson
8. Jimmy Ba
9. Ilya Sutskever
10. Yi Ren

Papers from Zhe Ye's perspective

Ordered by how strongly the researchers Zhe Ye 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. ImageNet classification with deep convolutional neural networks
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Long Short-Term Memory
6. ImageNet: A large-scale hierarchical image database
7. Gradient-based learning applied to document recognition
8. Learning Multiple Layers of Features from Tiny Images
9. GENERATIVE ADVERSARIAL NETS
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• Mega-TTS: Zero-Shot Text-to-Speech at Scale with Intrinsic Inductive Bias (2023) — 101 citations
• CoMoSpeech: One-Step Speech and Singing Voice Synthesis via Consistency Model (2023) — 60 citations