Chongming Gao
Artificial Intelligence · 2021
A researcher in the Science corpus: 1 paper; trusts 48 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 99 citations into it
- Information Systems — 60 citations into it
- Natural Language Processing — 42 citations into it
- Computer Vision and Pattern Recognition — 32 citations into it
- Management Science and Operations Research — 29 citations into it
- Reinforcement Learning — 19 citations into it
- Recommender Systems — 12 citations into it
- Marketing — 5 citations into it
Whom Chongming Gao trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Geoffrey E. Hinton
- Yoshua Bengio
- Diederik P. Kingma
- Ruslan Salakhutdinov
- Ilya Sutskever
- Sepp Hochreiter
- Alex Krizhevsky
- Yann LeCun
- Peter Auer
- J. Urgen Schmidhuber
Who trusts Chongming Gao overall
Papers from Chongming Gao's perspective
Ordered by how strongly the researchers Chongming Gao 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
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
- Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
Their papers
- Advances and Challenges in Conversational Recommender Systems: A Survey (2021) — 367 citations