Liangjun Feng

Artificial Intelligence · 2021

A researcher in the Science corpus: 1 paper; trusts 11 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 9 citations into it
• Computer Vision and Pattern Recognition — 5 citations into it
• Control and Systems Engineering — 5 citations into it

Whom Liangjun Feng trusts overall

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

1. Levent Tolga Eren
2. Elnaz Barshan
3. Weining Lu
4. Jerome H. Friedman
5. Christoph H. Lampert
6. Fabian Pedregosa
7. Turker Ince
8. A. Ghodsi
9. Sinno Jialin Pan
10. Tianqi Chen

Who trusts Liangjun Feng overall

1. Jing Zhang

Papers from Liangjun Feng's perspective

Ordered by how strongly the researchers Liangjun Feng 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. Gradient-based learning applied to document recognition
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
6. Attention is All you Need (Neural Information Processing Systems)
7. ImageNet: A large-scale hierarchical image database
8. Long Short-Term Memory
9. Going deeper with convolutions
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• Fault Description Based Attribute Transfer for Zero-Sample Industrial Fault Diagnosis (2021) — 322 citations