Zhongxin Bai

Artificial Intelligence · 2020

A researcher in the Science corpus: 1 paper; trusts 63 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 63 citations into it
• Signal Processing — 57 citations into it
• Speech & Audio — 23 citations into it
• Computer Vision and Pattern Recognition — 14 citations into it
• Representation & Self-Supervised Learning — 9 citations into it
• Evaluation & Benchmarks — 7 citations into it
• Model Architectures — 5 citations into it

Whom Zhongxin Bai trusts overall

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

1. Patrick Kenny
2. Douglas A. Reynolds
3. Arsha Nagrani
4. Joon Son Chung
5. Daniel Garcia-Romero
6. Fred Richardson
7. Andrew Zisserman
8. Najim Dehak
9. David Snyder
10. Daniel Povey

Papers from Zhongxin Bai's perspective

Ordered by how strongly the researchers Zhongxin Bai 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. ImageNet classification with deep convolutional neural networks
3. Attention is All you Need (Neural Information Processing Systems)
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. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
8. Gradient-based learning applied to document recognition
9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
10. Going deeper with convolutions

Their papers

• Speaker recognition based on deep learning: An overview (2020) — 406 citations