Zheng Wang

Artificial Intelligence · with Zhang · 2014–2019

A researcher in the Science corpus: 3 papers; trusts 8 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 15 citations into it
• Information Systems — 6 citations into it
• Natural Language Processing — 6 citations into it

Whom Zheng Wang trusts overall

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

1. Geoffrey E. Hinton
2. Diederik P. Kingma
3. Miltiadis Allamanis
4. Sepp Hochreiter
5. Yoshua Bengio
6. Vinod Nair
7. Ilya Sutskever
8. Tomas Mikolov
9. Alex Krizhevsky
10. J. Urgen Schmidhuber

Papers from Zheng Wang's perspective

Ordered by how strongly the researchers Zheng Wang 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. Long Short-Term Memory
3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. ImageNet classification with deep convolutional neural networks
5. Gradient-based learning applied to document recognition
6. Attention is All you Need (Neural Information Processing Systems)
7. Rectified Linear Units Improve Restricted Boltzmann Machines
8. ImageNet: A large-scale hierarchical image database
9. Learning Multiple Layers of Features from Tiny Images
10. Distributed Representations of Words and Phrases and their Compositionality (Neural Information Processing Systems)

Their papers

• End-to-End Deep Learning of Optimization Heuristics (2017) — 214 citations
• The CAFA challenge reports improved protein function prediction and new functional annotations for hundreds of genes through experimental screens (2019) — 434 citations
• Improving ITS sequence data for identification of plant pathogenic fungi (2014) — 146 citations