Yeting Jia
Artificial Intelligence · 2022
A researcher in the Science corpus: 1 paper; trusts 10 researchers and is trusted by 1 researcher here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 34 citations into it; #32,831 of 35,345 by trust here, #25,809 by citations
- Speech & Audio — 22 citations into it; #986 of 1,076 by trust here, #900 by citations
- Signal Processing — 12 citations into it
- Natural Language Processing — 10 citations into it
Whom Yeting Jia trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Ye Jia
- Yu Zhang
- Jonathan Shen
- Taku Kudo
- Peter Ebden
- Jacob Devlin
- Geoffrey E. Hinton
- Ron J. Weiss
- Ashish Vaswani
- Vassil Panayotov
Who trusts Yeting Jia overall
- Ye Jia
- Xinjian Li
- Rongjie Huang
- Qianqian Dong
- Alexis Conneau
- Ankur Bapna
- Michelle Tadmor Ramanovich
- Paul K. Rubenstein
Papers from Yeting Jia's perspective
Ordered by how strongly the researchers Yeting Jia 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)
- Long Short-Term Memory
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- ImageNet classification with deep convolutional neural networks
- 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)
- 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
Their papers
- CVSS Corpus and Massively Multilingual Speech-to-Speech Translation (2022) — 102 citations