Tao Jiang

Artificial Intelligence · with Li · 2019

A researcher in the Science corpus: 1 paper; trusts 8 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 17 citations into it
• Speech & Audio — 11 citations into it
• Signal Processing — 10 citations into it

Whom Tao Jiang trusts overall

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

1. David Snyder
2. Diederik P. Kingma
3. Florin Curelaru
4. Joon Son Chung
5. Kaiming He
6. Arsha Nagrani
7. Daniel Povey
8. Geoffrey E. Hinton
9. Andrew Zisserman
10. Alex Krizhevsky

Who trusts Tao Jiang overall

1. Jörgen Valk
2. Zhongxin Bai
3. Brecht Desplanques

Papers from Tao Jiang's perspective

Ordered by how strongly the researchers Tao Jiang 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. Attention is All you Need (Neural Information Processing Systems)
5. Long Short-Term Memory
6. Gradient-based learning applied to document recognition
7. ImageNet: A large-scale hierarchical image database
8. Dropout: a simple way to prevent neural networks from overfitting
9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
10. Going deeper with convolutions

Their papers

• Deep Speaker Embedding Extraction with Channel-Wise Feature Responses and Additive Supervision Softmax Loss Function (2019) — 70 citations