Haijun Lv

Artificial Intelligence · 2021

A researcher in the Science corpus: 1 paper; trusts 186 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 53 citations into it
• Computer Vision and Pattern Recognition — 41 citations into it
• Model Architectures — 18 citations into it
• Optimization & Training — 13 citations into it
• Information Systems — 6 citations into it
• Molecular Biology — 6 citations into it
• Representation & Self-Supervised Learning — 6 citations into it
• Evaluation & Benchmarks — 5 citations into it

Whom Haijun Lv trusts overall

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

1. Geoffrey E. Hinton
2. Yoshua Bengio
3. Yann LeCun
4. Yoav Freund
5. Kaiming He
6. Leo Breiman
7. Alex Krizhevsky
8. Robert E. Schapire
9. Jerome H. Friedman
10. Christian Szegedy

Papers from Haijun Lv's perspective

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

Their papers

• A Survey on ensemble learning under the era of deep learning (2021) — 358 citations