Siyuan Jiang

Natural Language Processing · 2017–2019

A researcher in the Science corpus: 2 papers; trusts 95 researchers and is trusted by 16 researchers here, as inferred from the citation graph.

Subfields

• Natural Language Processing — 42 citations into it; #4,668 of 5,688 by trust here, #4,879 by citations
• Artificial Intelligence — 40 citations into it; #11,941 of 35,345 by trust here, #19,873 by citations
• Information Systems — 32 citations into it; #2,132 of 8,771 by trust here, #4,012 by citations
• Computer Vision and Pattern Recognition — 14 citations into it
• Software — 13 citations into it; #287 of 1,227 by trust here, #489 by citations
• Computer Networks and Communications — 9 citations into it
• Model Architectures — 9 citations into it
• Code Generation & Program Synthesis — 7 citations into it; #159 of 220 by trust here, #185 by citations

Whom Siyuan Jiang trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Philipp Koehn
2. Rico Sennrich
3. Ilya Sutskever
4. Dzmitry Bahdanau
5. Yoshua Bengio
6. Kenneth Heafield
7. Kyunghyun Cho
8. Matthew D. Zeiler
9. Geoffrey E. Hinton
10. Christopher D. Manning

Who trusts Siyuan Jiang overall

1. Jian Zhang
2. Ziyu Yao
3. Cody Watson
4. Antonio Mastropaolo
5. Xing Hu
6. Alexander LeClair
7. Michele Tufano
8. Ahmed Elnaggar
9. Toufique Ahmed
10. Xu Wang

Papers from Siyuan Jiang's perspective

Ordered by how strongly the researchers Siyuan Jiang trusts endorse each paper. Same corpus, a different order for every researcher.

1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
2. ImageNet classification with deep convolutional neural networks
3. Long Short-Term Memory
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Attention is All you Need (Neural Information Processing Systems)
6. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
7. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
8. Gradient-based learning applied to document recognition
9. ImageNet: A large-scale hierarchical image database
10. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)

Their papers

• A Neural Model for Generating Natural Language Summaries of Program Subroutines (2019) — 335 citations
• Automatically generating commit messages from diffs using neural machine translation (2017) — 292 citations