Ye Yuan

Artificial Intelligence · with Chen · 2022

A researcher in the Science corpus: 1 paper; trusts 7 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 20 citations into it
• Computational Theory and Mathematics — 10 citations into it
• Information Systems — 10 citations into it
• Management Science and Operations Research — 9 citations into it
• Optimization & Training — 7 citations into it

Whom Ye Yuan trusts overall

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

1. Yehuda Koren
2. Matthew D. Zeiler
3. Sotirios P. Chatzis
4. Xianda Zhang
5. Ruslan Salakhutdinov
6. Xin Luo
7. Zhi-hui Zhan
8. James Kennedy
9. Robert M. Bell
10. Geoffrey E. Hinton

Papers from Ye Yuan's perspective

Ordered by how strongly the researchers Ye Yuan 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. Adaptive Subgradient Methods for Online Learning and Stochastic Optimization
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Gradient-based learning applied to document recognition
6. Learning Multiple Layers of Features from Tiny Images
7. Long Short-Term Memory
8. Attention is All you Need (Neural Information Processing Systems)
9. ImageNet: A large-scale hierarchical image database
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• Position-Transitional Particle Swarm Optimization-Incorporated Latent Factor Analysis (2022) — 305 citations