Hongmin Wang
Artificial Intelligence · with Wang · 2018–2019
A researcher in the Science corpus: 2 papers; trusts 43 researchers and is trusted by 8 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 57 citations into it; #16,777 of 35,345 by trust here, #8,525 by citations
- Natural Language Processing — 41 citations into it; #3,004 of 5,688 by trust here, #1,926 by citations
- Computer Vision and Pattern Recognition — 39 citations into it; #10,707 of 21,575 by trust here, #9,872 by citations
- Reinforcement Learning — 22 citations into it; #1,271 of 2,242 by trust here, #1,300 by citations
Whom Hongmin Wang trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Geoffrey E. Hinton
- Yoshua Bengio
- Diederik P. Kingma
- Alex Krizhevsky
- Ilya Sutskever
- Kaiming He
- Yann LeCun
- Alex Graves
- Richard Socher
- Richard S. Sutton
Who trusts Hongmin Wang overall
Papers from Hongmin Wang's perspective
Ordered by how strongly the researchers Hongmin Wang trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
- Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)