Yongxi Lu

Computer Vision and Pattern Recognition · 2015–2019

A researcher in the Science corpus: 3 papers; trusts 389 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 66 citations into it; #19,670 of 21,575 by trust here, #9,563 by citations
• Artificial Intelligence — 52 citations into it; #32,030 of 35,345 by trust here, #15,866 by citations
• Model Architectures — 14 citations into it
• Optimization & Training — 14 citations into it
• Signal Processing — 10 citations into it
• Evaluation & Benchmarks — 6 citations into it
• Aerospace Engineering — 5 citations into it

Whom Yongxi Lu trusts overall

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

1. Kaiming He
2. Ross B. Girshick
3. Geoffrey E. Hinton
4. Alex Krizhevsky
5. Christian Szegedy
6. Karen Simonyan
7. Shaoqing Ren
8. Yann LeCun
9. Ilya Sutskever
10. Yoshua Bengio

Who trusts Yongxi Lu overall

1. Yu Cheng
2. Elliot Meyerson
3. Simon Vandenhende
4. Fan Yang
5. Christopher Fifty
6. Ximeng Sun
7. Lecheng Zheng
8. F. Liu
9. Yuan Gao
10. Felix J. S. Bragman

Papers from Yongxi Lu's perspective

Ordered by how strongly the researchers Yongxi Lu 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. ImageNet: A large-scale hierarchical image database
5. Gradient-based learning applied to document recognition
6. Long Short-Term Memory
7. Attention is All you Need (Neural Information Processing Systems)
8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
9. Going deeper with convolutions
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Fully-Adaptive Feature Sharing in Multi-Task Networks with Applications in Person Attribute Classification (2016) — 407 citations
• Adaptive Object Detection Using Adjacency and Zoom Prediction (2015) — 84 citations
• Decentralized Bayesian Learning over Graphs (2019) — 27 citations