Zhihua Wu
Artificial Intelligence · 2019–2021
A researcher in the Science corpus: 3 papers; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 181 citations into it
Whom Zhihua Wu trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from Zhihua Wu's perspective
Ordered by how strongly the researchers Zhihua Wu trusts endorse each paper. Same corpus, a different order for every researcher.
- Attention is All you Need (Neural Information Processing Systems)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Long Short-Term Memory
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Language Models are Unsupervised Multitask Learners
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
Their papers
- ERNIE 3.0 Titan: Exploring Larger-scale Knowledge Enhanced Pre-training for Language Understanding and Generation (2021) — 88 citations
- ERNIE 3.0: Large-scale Knowledge Enhanced Pre-training for Language Understanding and Generation (2021) — 607 citations
- Secure Federated Submodel Learning (2019) — 35 citations