Bingqing Wang

Artificial Intelligence · 2019

A researcher in the Science corpus: 1 paper; trusts 16 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 27 citations into it
• Natural Language Processing — 27 citations into it
• Evaluation & Benchmarks — 5 citations into it

Whom Bingqing Wang trusts overall

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

1. Yoshua Bengio
2. Geoffrey E. Hinton
3. Jacob Devlin
4. Diederik P. Kingma
5. Ilya Sutskever
6. Ramakanth Pasunuru
7. Caglar Gulcehre
8. Yang Liu
9. Ashish Vaswani
10. Alex Krizhevsky

Who trusts Bingqing Wang overall

1. Tanya Goyal

Papers from Bingqing Wang's perspective

Ordered by how strongly the researchers Bingqing Wang trusts endorse each paper. Same corpus, a different order for every researcher.

1. Attention is All you Need (Neural Information Processing Systems)
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. ImageNet classification with deep convolutional neural networks
4. Long Short-Term Memory
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
7. Gradient-based learning applied to document recognition
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. ImageNet: A large-scale hierarchical image database

Their papers

• Controlling the Amount of Verbatim Copying in Abstractive Summarization (2019) — 54 citations