Lecheng Zheng

Artificial Intelligence · 2019

A researcher in the Science corpus: 1 paper; trusts 39 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 9 citations into it; #28,475 of 35,345 by trust here, #34,943 by citations
• Computer Vision and Pattern Recognition — 9 citations into it; #17,583 of 21,575 by trust here, #21,424 by citations
• Representation & Self-Supervised Learning — 5 citations into it

Whom Lecheng Zheng trusts overall

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

1. Yoon Kim
2. Abhishek Kumar
3. Tomas Mikolov
4. Ilya Sutskever
5. Geoffrey E. Hinton
6. Dengyong Zhou
7. Ziwei Liu
8. Karen Simonyan
9. Alex Krizhevsky
10. Yoshua Bengio

Who trusts Lecheng Zheng overall

1. Yu Zhang
2. Qiang Yang

Papers from Lecheng Zheng's perspective

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

Their papers

• Deep Multimodality Model for Multi-task Multi-view Learning (2019) — 18 citations