Yaqian Zhang

Artificial Intelligence · 2019–2022

A researcher in the Science corpus: 2 papers; trusts 56 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 29 citations into it
• Reinforcement Learning — 19 citations into it
• Computer Vision and Pattern Recognition — 14 citations into it

Whom Yaqian Zhang trusts overall

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

1. Ronald J. Williams
2. John Schulman
3. Geoffrey E. Hinton
4. Richard S. Sutton
5. Alex Krizhevsky
6. Sergey Levine
7. Marc'Aurelio Ranzato
8. Yoshua Bengio
9. Diederik P. Kingma
10. David Silver

Who trusts Yaqian Zhang overall

1. Liangzu Peng
2. Bernhard Pfahringer
3. Paris V. Giampouras

Papers from Yaqian Zhang's perspective

Ordered by how strongly the researchers Yaqian Zhang 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. Attention is All you Need (Neural Information Processing Systems)
5. Gradient-based learning applied to document recognition
6. Long Short-Term Memory
7. ImageNet: A large-scale hierarchical image database
8. Learning Multiple Layers of Features from Tiny Images
9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Repeated Augmented Rehearsal: A Simple but Strong Baseline for Online Continual Learning (2022) — 56 citations
• Bootstrapped Policy Gradient for Difficulty Adaptation in Intelligent Tutoring Systems (2019) — 4 citations