Nan Jiang

Information Systems · with Lutellier · 2021

A researcher in the Science corpus: 1 paper; trusts 13 researchers and is trusted by 7 researchers here, as inferred from the citation graph.

Subfields

• Information Systems — 31 citations into it; #2,897 of 8,771 by trust here, #5,942 by citations
• Software — 26 citations into it; #410 of 1,227 by trust here, #799 by citations
• Natural Language Processing — 13 citations into it; #2,763 of 5,688 by trust here, #4,682 by citations
• Artificial Intelligence — 12 citations into it
• Computer Networks and Communications — 6 citations into it
• Signal Processing — 6 citations into it

Whom Nan Jiang trusts overall

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

1. Fan Long
2. Claire Le Goues
3. Miltiadis Allamanis
4. Georgios Gousios
5. Martin White
6. Xuan-Bach Dinh Le
7. Martin C. Rinard
8. Diomidis D. Spinellis
9. Michele Tufano
10. Diederik P. Kingma

Who trusts Nan Jiang overall

1. Hammond A. Pearce
2. Chun Xia
3. Baleegh Ahmad
4. Benjamin Tan
5. Lingming Zhang
6. Ma Jin
7. Brendan Dolan-Gavitt
8. Ramesh Karri
9. Toufique Ahmed

Papers from Nan Jiang's perspective

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

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

Their papers

• CURE: Code-Aware Neural Machine Translation for Automatic Program Repair (2021) — 415 citations