Zheng Ma

Artificial Intelligence · with Hou · 2019–2020

A researcher in the Science corpus: 4 papers; trusts 149 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 60 citations into it; #26,706 of 35,345 by trust here, #13,760 by citations
• Computer Vision and Pattern Recognition — 39 citations into it
• Scaling & Learning Theory — 29 citations into it; #325 of 428 by trust here, #303 by citations
• Optimization & Training — 23 citations into it; #2,120 of 2,601 by trust here, #1,661 by citations
• Statistical Learning Theory — 13 citations into it
• Model Architectures — 10 citations into it

Whom Zheng Ma trusts overall

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

1. L. Eon Bottou
2. Kaiming He
3. Geoffrey E. Hinton
4. Diederik P. Kingma
5. Alex Krizhevsky
6. Yann LeCun
7. Yoshua Bengio
8. Karen Simonyan
9. X. Zhang
10. Ross B. Girshick

Who trusts Zheng Ma overall

1. Lucas Tabelini
2. Lizhe Liu
3. Jianping Gou
4. Zequn Qin
5. Ruijin Liu

Papers from Zheng Ma's perspective

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

Their papers

• Learning Lightweight Lane Detection CNNs by Self Attention Distillation (2019) — 693 citations
• Inter-Region Affinity Distillation for Road Marking Segmentation (2020) — 146 citations
• Frequency Principle: Fourier Analysis Sheds Light on Deep Neural Networks (2019) — 776 citations
• A type of generalization error induced by initialization in deep neural networks (2019) — 54 citations