Yang Gao

Artificial Intelligence · with Fuegen · 2018–2020

A researcher in the Science corpus: 2 papers; trusts 6 researchers and is trusted by 5 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 17 citations into it
• Signal Processing — 10 citations into it; #4,570 of 7,572 by trust here, #5,086 by citations
• Speech & Audio — 6 citations into it

Whom Yang Gao trusts overall

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

1. Sergey Ioffe
2. Daniel W. Griffin
3. Chanwoo Kim
4. Christian Szegedy
5. Bing Xu
6. Linghui Chen
7. Taeksoo Kim
8. Kun Han
9. Seunghyun Yoon
10. Yuxuan Wang

Who trusts Yang Gao overall

1. Kaizhi Qian
2. Ju-Chieh Chou
3. Yang Zhang
4. Shekhar Nayak
5. Rui Liu
6. Shiyu Chang
7. Cheng-chieh Yeh
8. Hung-yi Lee
9. C. Shiva Kumar

Papers from Yang Gao's perspective

Ordered by how strongly the researchers Yang Gao 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
3. ImageNet classification with deep convolutional neural networks
4. Long Short-Term Memory
5. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
6. Attention is All you Need (Neural Information Processing Systems)
7. Gradient-based learning applied to document recognition
8. GENERATIVE ADVERSARIAL NETS
9. ImageNet: A large-scale hierarchical image database
10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers

• Interactive Text-to-Speech via Semi-supervised Style Transfer Learning (2020) — 11 citations
• Voice Impersonation Using Generative Adversarial Networks (2018) — 108 citations