Zhengzhong Liu
Artificial Intelligence · 2016–2021
A researcher in the Science corpus: 3 papers; trusts 147 researchers and is trusted by 7 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 129 citations into it; #18,753 of 35,345 by trust here, #8,706 by citations
- Natural Language Processing — 105 citations into it
- Computer Vision and Pattern Recognition — 39 citations into it
- Evaluation & Benchmarks — 36 citations into it
- Reinforcement Learning — 24 citations into it
Whom Zhengzhong Liu trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Geoffrey E. Hinton
- Yoshua Bengio
- Diederik P. Kingma
- Ilya Sutskever
- Alex Krizhevsky
- Ronald J. Williams
- Yann LeCun
- Richard Socher
- Richard S. Sutton
- Kaiming He
Who trusts Zhengzhong Liu overall
Papers from Zhengzhong Liu's perspective
Ordered by how strongly the researchers Zhengzhong Liu trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet classification with deep convolutional neural networks
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
- Gradient-based learning applied to document recognition
- Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
- ImageNet: A large-scale hierarchical image database
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
Their papers
- Harnessing Deep Neural Networks with Logic Rules (2016) — 641 citations
- Compression, Transduction, and Creation: A Unified Framework for Evaluating Natural Language Generation (2021) — 83 citations
- Text Generation with Efficient (Soft) Q-Learning (2021) — 32 citations