Xin Ye
Information Systems · with Bunescu · 2014–2016
A researcher in the Science corpus: 2 papers; trusts 27 researchers and is trusted by 8 researchers here, as inferred from the citation graph.
Subfields
- Information Systems — 30 citations into it; #2,954 of 8,771 by trust here, #4,188 by citations
- Software — 22 citations into it; #636 of 1,227 by trust here, #906 by citations
- Artificial Intelligence — 15 citations into it; #25,787 of 35,345 by trust here, #25,040 by citations
- Natural Language Processing — 15 citations into it
- Representation & Self-Supervised Learning — 9 citations into it
- Computer Networks and Communications — 8 citations into it
- Computer Vision and Pattern Recognition — 5 citations into it
Whom Xin Ye trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Thorsten Joachims
- Tomas Mikolov
- Shivani Rao
- Jian Zhou
- Ripon K. Saha
- Denys Poshyvanyk
- Quoc V. Le
- Holger Cleve
- N. Nagappan
- Yoshua Bengio
Who trusts Xin Ye overall
- Michael Pradel
- Xiaodong Gu
- Koushik Sen
- Haoran Niu
- Hongyu Zhang
- Shuhan Yan
- Wei Fu
- Sunghun Kim
- Iman Keivanloo
- Kezban Dilek Onal
Papers from Xin Ye's perspective
Ordered by how strongly the researchers Xin Ye trusts endorse each paper. Same corpus, a different order for every researcher.
- 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)
- Long Short-Term Memory
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
- 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)
Their papers
- From Word Embeddings to Document Similarities for Improved Information Retrieval in Software Engineering (2016) — 313 citations
- Learning to rank relevant files for bug reports using domain knowledge (2014) — 300 citations