Ke-jun Zhang

Artificial Intelligence · 2020

A researcher in the Science corpus: 2 papers; trusts 6 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 43 citations into it; #35,098 of 35,345 by trust here, #18,586 by citations
• Signal Processing — 28 citations into it
• Natural Language Processing — 13 citations into it
• Model Architectures — 8 citations into it

Whom Ke-jun Zhang trusts overall

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

1. Alex Graves
2. Diederik P. Kingma
3. Cassia Valentini-Botinhao
4. Alex Auvolat

Who trusts Ke-jun Zhang overall

1. Ye Jia

Papers from Ke-jun Zhang's perspective

Ordered by how strongly the researchers Ke-jun Zhang 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. Attention is All you Need (Neural Information Processing Systems)
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. ImageNet classification with deep convolutional neural networks
5. WaveNet: A Generative Model for Raw Audio
6. Long Short-Term Memory
7. Gradient-based learning applied to document recognition
8. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
9. Bleu: a Method for Automatic Evaluation of Machine Translation
10. ImageNet: A large-scale hierarchical image database

Their papers

• UWSpeech: Speech to Speech Translation for Unwritten Languages (2020) — 71 citations
• Denoispeech: Denoising Text to Speech with Frame-Level Noise Modeling (2020) — 50 citations