Yu-xin Zhang

Artificial Intelligence · with Chen · 2021

A researcher in the Science corpus: 1 paper; trusts 13 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 35 citations into it
• Computer Vision and Pattern Recognition — 16 citations into it
• Signal Processing — 14 citations into it
• Computer Networks and Communications — 11 citations into it
• Control and Systems Engineering — 5 citations into it

Whom Yu-xin Zhang trusts overall

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

1. Bernhard Schölkopf
2. Heiko Hoffmann
3. S. Brandt
4. Alex Smola
5. Nitish Srivastava
6. Raghavendra Chalapathy
7. JooSeuk Kim
8. Mayu Sakurada
9. Attila Reiss
10. Gang Liu

Who trusts Yu-xin Zhang overall

1. Shreshth Tuli
2. Giuliano Casale

Papers from Yu-xin Zhang's perspective

Ordered by how strongly the researchers Yu-xin Zhang trusts endorse each paper. Same corpus, a different order for every researcher.

1. ImageNet classification with deep convolutional neural networks
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Long Short-Term Memory
5. Attention is All you Need (Neural Information Processing Systems)
6. Gradient-based learning applied to document recognition
7. ImageNet: A large-scale hierarchical image database
8. Learning Multiple Layers of Features from Tiny Images
9. Going deeper with convolutions
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• Unsupervised Deep Anomaly Detection for Multi-Sensor Time-Series Signals (2021) — 342 citations