Bingning Wang

Artificial Intelligence · 3 papers · 2016–2019

A researcher in the Science corpus: 3 papers; trusts 131 researchers and is trusted by 11 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 69 citations into it; #14,228 of 35,345 by trust here, #17,110 by citations
• Natural Language Processing — 62 citations into it; #2,954 of 5,688 by trust here, #4,183 by citations
• Computer Vision and Pattern Recognition — 41 citations into it; #9,248 of 21,575 by trust here, #12,172 by citations
• Model Architectures — 19 citations into it
• Evaluation & Benchmarks — 15 citations into it
• Information Retrieval & Search — 15 citations into it
• Generative Models — 10 citations into it; #1,545 of 1,956 by trust here, #1,766 by citations
• Representation & Self-Supervised Learning — 8 citations into it

Whom Bingning Wang trusts overall

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

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

Who trusts Bingning Wang overall

1. Zhuosheng Zhang
2. Andreas Ruckl'e
3. Zhiguo Wang
4. Kang Liu
5. Chongming Gao
6. Christian Stab
7. Yanchao Hao
8. Jiafeng Guo
9. Zhongyang Li
10. Yafang Huang

Papers from Bingning Wang's perspective

Ordered by how strongly the researchers Bingning 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. Long Short-Term Memory
5. Attention is All you Need (Neural Information Processing Systems)
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. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)

Their papers

• Inner Attention based Recurrent Neural Networks for Answer Selection (2016) — 195 citations
• Document Gated Reader for Open-Domain Question Answering (2019) — 16 citations
• Conditional Generative Adversarial Networks for Commonsense Machine Comprehension (2017) — 36 citations