Kai Zhen

Signal Processing · 2019–2020

A researcher in the Science corpus: 2 papers; trusts 7 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Signal Processing — 25 citations into it
• Computer Vision and Pattern Recognition — 23 citations into it
• Speech & Audio — 17 citations into it
• Artificial Intelligence — 15 citations into it
• Efficiency & Compression — 5 citations into it
• Optimization & Training — 5 citations into it

Whom Kai Zhen trusts overall

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

1. Srihari Kankanahalli
2. Kaiming He
3. Diederik P. Kingma
4. X. Zhang
5. Jimmy Ba
6. Eirikur Agustsson
7. Geoffrey E. Hinton
8. Wenzhe Shi
9. Minje Kim
10. Shaoqing Ren

Who trusts Kai Zhen overall

1. Yi-Chiao Wu
2. Neil Zeghidour
3. Israel Dejene Gebru

Papers from Kai Zhen's perspective

Ordered by how strongly the researchers Kai Zhen 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Long Short-Term Memory
5. Gradient-based learning applied to document recognition
6. Attention is All you Need (Neural Information Processing Systems)
7. ImageNet: A large-scale hierarchical image database
8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
9. ImageNet Large Scale Visual Recognition Challenge
10. Going deeper with convolutions

Their papers

• Psychoacoustic Calibration of Loss Functions for Efficient End-to-End Neural Audio Coding (2020) — 28 citations
• Cascaded Cross-Module Residual Learning towards Lightweight End-to-End Speech Coding (2019) — 43 citations