Feng Wang

Artificial Intelligence · with Xu · 2017–2019

A researcher in the Science corpus: 4 papers; trusts 165 researchers and is trusted by 10 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 84 citations into it; #14,130 of 35,345 by trust here, #11,921 by citations
• Natural Language Processing — 64 citations into it; #2,623 of 5,688 by trust here, #2,732 by citations
• Computer Vision and Pattern Recognition — 32 citations into it; #9,229 of 21,575 by trust here, #8,831 by citations
• Model Architectures — 26 citations into it
• Generative Models — 10 citations into it; #1,375 of 1,956 by trust here, #1,336 by citations
• Signal Processing — 9 citations into it
• Representation & Self-Supervised Learning — 8 citations into it
• Speech & Audio — 7 citations into it

Whom Feng Wang trusts overall

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

1. Ilya Sutskever
2. Yoshua Bengio
3. Alex Graves
4. Geoffrey E. Hinton
5. Kyunghyun Cho
6. Sepp Hochreiter
7. Dzmitry Bahdanau
8. Diederik P. Kingma
9. Oriol Vinyals
10. Alex Krizhevsky

Who trusts Feng Wang overall

1. Mikel Artetxe
2. Viktor Hangya
3. Gorka Labaka
4. Zhen-Le Yang
5. Surangika Ranathunga
6. Cristóbal Esteban
7. Zexuan Zhong
8. Leshem Choshen
9. Emiru Tsunoo
10. Yang Feng

Papers from Feng Wang's perspective

Ordered by how strongly the researchers Feng 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. ImageNet classification with deep convolutional neural networks
3. Long Short-Term Memory
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Attention is All you Need (Neural Information Processing Systems)
6. Gradient-based learning applied to document recognition
7. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
8. ImageNet: A large-scale hierarchical image database
9. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
10. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)

Their papers

• Improving Neural Machine Translation with Conditional Sequence Generative Adversarial Nets (2017) — 173 citations
• Unsupervised Neural Machine Translation with Weight Sharing (2018) — 131 citations
• Self-attention Aligner: A Latency-control End-to-end Model for ASR Using Self-attention Network and Chunk-hopping (2019) — 95 citations
• Joint Extraction of Entities and Relations Based on a Novel Tagging Scheme (2017) — 707 citations