Jung-Yi Jiang
Artificial Intelligence · 2014
A researcher in the Science corpus: 1 paper; trusts 7 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 9 citations into it
- Information Systems — 7 citations into it
Whom Jung-Yi Jiang trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Thorsten Joachims
- Dekang Lin
- Fabrizio Sebastiani
- Inderjit S. Dhillon
- Jiawei Han
- Min-Ling Zhang
- Kamal Nigam
- David D. Lewis
- Andrew McCallum
- Christian Bird
Who trusts Jung-Yi Jiang overall
Papers from Jung-Yi Jiang's perspective
Ordered by how strongly the researchers Jung-Yi Jiang trusts endorse each paper. Same corpus, a different order for every researcher.
- Text Classification from Labeled and Unlabeled Documents using EM
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Attention is All you Need (Neural Information Processing Systems)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- RCV1: A New Benchmark Collection for Text Categorization Research
- Machine learning in automated text categorization
- Gradient-based learning applied to document recognition
- Long Short-Term Memory
- Maximum likelihood from incomplete data via the EM - algorithm plus discussions on the paper
Their papers
- A Similarity Measure for Text Classification and Clustering (2014) — 326 citations