Liangqi Yuan

Computer Networks and Communications · 2023

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

Subfields

• Computer Networks and Communications — 21 citations into it

Whom Liangqi Yuan trusts overall

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

1. Angelia Nedić
2. Hyesung Kim
3. Tuncer Can Aysal
4. Muhammad Shayan
5. Felix Sattler
6. Alex Krizhevsky
7. Geoffrey E. Hinton
8. Anit Kumar Sahu
9. Jie Xu
10. Tian Li

Papers from Liangqi Yuan's perspective

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

Their papers

• Decentralized Federated Learning: A Survey and Perspective (2023) — 320 citations