Jiusheng Chen
Artificial Intelligence · 2020–2021
A researcher in the Science corpus: 4 papers; trusts 60 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 128 citations into it
- Natural Language Processing — 119 citations into it
- Computer Vision and Pattern Recognition — 50 citations into it
- Evaluation & Benchmarks — 29 citations into it
- Optimization & Training — 6 citations into it
Whom Jiusheng Chen trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Diederik P. Kingma
- Geoffrey E. Hinton
- Yoshua Bengio
- Ilya Sutskever
- Jimmy Ba
- Alex Krizhevsky
- Sepp Hochreiter
- Kaiming He
- Yann LeCun
- Pranav Rajpurkar
Papers from Jiusheng Chen's perspective
Ordered by how strongly the researchers Jiusheng Chen 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)
- Long Short-Term Memory
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- ImageNet classification with deep convolutional neural networks
- 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)
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
Their papers
- ProphetNet: Predicting Future N-gram for Sequence-to-Sequence Pre-training (2020) — 501 citations
- GLGE: A New General Language Generation Evaluation Benchmark (2020) — 75 citations
- RikiNet: Reading Wikipedia Pages for Natural Question Answering (2020) — 59 citations
- ProphetNet-X: Large-Scale Pre-training Models for English, Chinese, Multi-lingual, Dialog, and Code Generation (2021) — 55 citations