Yifei Cheng

Optimization & Training · 2019

A researcher in the Science corpus: 1 paper; trusts 9 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

• Optimization & Training — 25 citations into it; #2,113 of 2,601 by trust here, #1,986 by citations
• Artificial Intelligence — 24 citations into it; #26,641 of 35,345 by trust here, #23,731 by citations
• Computer Vision and Pattern Recognition — 10 citations into it; #16,369 of 21,575 by trust here, #15,529 by citations
• ML Systems & Hardware — 8 citations into it
• Federated & Distributed Learning — 7 citations into it; #244 of 319 by trust here, #286 by citations

Whom Yifei Cheng trusts overall

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

1. Yann LeCun
2. Sebastian U. Stich

Who trusts Yifei Cheng overall

1. Peter Richtárik
2. Mehrdad Mahdavi
3. Farzin Haddadpour

Papers from Yifei Cheng's perspective

Ordered by how strongly the researchers Yifei Cheng trusts endorse each paper. Same corpus, a different order for every researcher.

1. ImageNet: A large-scale hierarchical image database
2. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. ImageNet classification with deep convolutional neural networks
5. Gradient-based learning applied to document recognition
6. Rethinking the Inception Architecture for Computer Vision
7. GloVe: Global Vectors for Word Representation
8. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
9. Learning Multiple Layers of Features from Tiny Images
10. Long Short-Term Memory

Their papers

• Variance Reduced Local SGD with Lower Communication Complexity (2019) — 161 citations