Rui Zhang
Artificial Intelligence · 3 papers · 2018–2021
A researcher in the Science corpus: 3 papers; trusts 82 researchers and is trusted by 5 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 73 citations into it; #23,415 of 35,345 by trust here, #17,110 by citations
- Natural Language Processing — 38 citations into it; #3,929 of 5,688 by trust here, #4,361 by citations
- Computer Vision and Pattern Recognition — 15 citations into it
- Graph Learning — 14 citations into it
- Management Science and Operations Research — 13 citations into it
- Evaluation & Benchmarks — 12 citations into it
- Representation & Self-Supervised Learning — 12 citations into it
- Model Architectures — 7 citations into it
Whom Rui Zhang trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Diederik P. Kingma
- Richard Socher
- Yoshua Bengio
- Geoffrey E. Hinton
- Dekang Lin
- Christopher D. Manning
- Kyunghyun Cho
- Dzmitry Bahdanau
- Ilya Sutskever
- Antoine Bordes
Who trusts Rui Zhang overall
Papers from Rui Zhang's perspective
Ordered by how strongly the researchers Rui Zhang trusts endorse each paper. Same corpus, a different order for every researcher.
- Attention is All you Need (Neural Information Processing Systems)
- 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
- Gradient-based learning applied to document recognition
- Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
- ImageNet: A large-scale hierarchical image database
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
Their papers
- GTR-LSTM: A Triple Encoder for Sentence Generation from RDF Data (2018) — 91 citations
- Entity Alignment between Knowledge Graphs Using Attribute Embeddings (2019) — 332 citations
- Prototypical Representation Learning for Relation Extraction (2021) — 67 citations