Cheng Wang

Computer Vision and Pattern Recognition · with Bartz · 2016

A researcher in the Science corpus: 1 paper; trusts 221 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 31 citations into it; #16,480 of 21,575 by trust here, #15,955 by citations
• Artificial Intelligence — 28 citations into it; #26,955 of 35,345 by trust here, #24,417 by citations
• Multimodal Learning — 18 citations into it
• Natural Language Processing — 16 citations into it
• Model Architectures — 7 citations into it
• Evaluation & Benchmarks — 5 citations into it

Whom Cheng Wang trusts overall

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

1. Geoffrey E. Hinton
2. Ilya Sutskever
3. Alex Krizhevsky
4. Yoshua Bengio
5. Karen Simonyan
6. Alex Graves
7. Tomas Mikolov
8. Oriol Vinyals
9. Ruslan Salakhutdinov
10. Yann LeCun

Who trusts Cheng Wang overall

1. Jianfeng Dong
2. Md. Zakir Hossain
3. Xirong Li
4. Dmitriy Serdyuk
5. Ravi Shekhar
6. Ferdous Sohel
7. Cees G. M. Snoek

Papers from Cheng Wang's perspective

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

Their papers

• Image Captioning with Deep Bidirectional LSTMs (2016) — 299 citations