Yong Wang

Artificial Intelligence · with Cho · 2017–2019

A researcher in the Science corpus: 6 papers; trusts 303 researchers and is trusted by 36 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 134 citations into it; #6,335 of 35,345 by trust here, #5,834 by citations
• Natural Language Processing — 100 citations into it; #1,649 of 5,688 by trust here, #1,598 by citations
• Computer Vision and Pattern Recognition — 76 citations into it; #5,980 of 21,575 by trust here, #4,988 by citations
• Model Architectures — 21 citations into it
• Computer Networks and Communications — 17 citations into it
• Optimization & Training — 14 citations into it
• Electrical and Electronic Engineering — 12 citations into it; #4,557 of 16,539 by trust here, #9,210 by citations
• Machine Translation — 7 citations into it

Whom Yong Wang trusts overall

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

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

Who trusts Yong Wang overall

1. Mohammad Mohammadi Amiri
2. Deniz Gündüz
3. Zhaohui Yang
4. Jiatao Gu
5. Howard H. Yang
6. Kelvin Guu
7. Panupong Pasupat
8. Han-Jia Ye
9. Brenden M. Lake
10. Ankur Bapna

Papers from Yong Wang's perspective

Ordered by how strongly the researchers Yong 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Attention is All you Need (Neural Information Processing Systems)
5. Long Short-Term Memory
6. Gradient-based learning applied to document recognition
7. ImageNet: A large-scale hierarchical image database
8. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
9. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers

• Meta-Learning for Low-Resource Neural Machine Translation (2018) — 364 citations
• Search Engine Guided Non-Parametric Neural Machine Translation (2017) — 52 citations
• Search Engine Guided Neural Machine Translation (2018) — 187 citations
• Improved Zero-shot Neural Machine Translation via Ignoring Spurious Correlations (2019) — 112 citations
• Broadband Analog Aggregation for Low-Latency Federated Edge Learning (2018) — 784 citations
• Low-Latency Broadband Analog Aggregation for Federated Edge Learning (2018) — 46 citations