Huang He
Artificial Intelligence · 2019–2020
A researcher in the Science corpus: 2 papers; trusts 37 researchers and is trusted by 3 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 52 citations into it; #28,549 of 35,345 by trust here, #16,471 by citations
- Natural Language Processing — 44 citations into it
- Large Language Models — 16 citations into it
- Evaluation & Benchmarks — 6 citations into it
- Optimization & Training — 5 citations into it
Whom Huang He trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Diederik P. Kingma
- Oriol Vinyals
- Yoshua Bengio
- Alec Radford
- Geoffrey E. Hinton
- Ilya Sutskever
- Jimmy Ba
- Alex Krizhevsky
- Quoc V. Le
- Kyunghyun Cho
Who trusts Huang He overall
Papers from Huang He's perspective
Ordered by how strongly the researchers Huang He trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- 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)
Their papers
- PLATO: Pre-trained Dialogue Generation Model with Discrete Latent Variable (2019) — 296 citations
- PLATO-2: Towards Building an Open-Domain Chatbot via Curriculum Learning (2020) — 150 citations