Hongrong Cheng

Artificial Intelligence · 2023

A researcher in the Science corpus: 1 paper; trusts 216 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 126 citations into it
• Computer Vision and Pattern Recognition — 110 citations into it
• Efficiency & Compression — 59 citations into it
• Model Architectures — 20 citations into it
• Optimization & Training — 13 citations into it
• Scaling & Learning Theory — 5 citations into it

Whom Hongrong Cheng trusts overall

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

1. Kaiming He
2. Geoffrey E. Hinton
3. Alex Krizhevsky
4. Yoshua Bengio
5. Yann LeCun
6. Sergey Ioffe
7. Diederik P. Kingma
8. Christian Szegedy
9. Ilya Sutskever
10. Ross B. Girshick

Papers from Hongrong Cheng's perspective

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

Their papers

• A Survey on Deep Neural Network Pruning: Taxonomy, Comparison, Analysis, and Recommendations (2023) — 518 citations