Wenyv Guan

Artificial Intelligence · 2019

A researcher in the Science corpus: 1 paper; trusts 14 researchers and is trusted by 8 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 19 citations into it; #16,872 of 35,345 by trust here, #23,077 by citations
• Natural Language Processing — 19 citations into it; #2,984 of 5,688 by trust here, #4,361 by citations
• Information Systems — 7 citations into it

Whom Wenyv Guan trusts overall

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

1. Lei Wang
2. Subhro Roy
3. Yan Wang
4. Li Dong
5. Shyam Upadhyay
6. Ting-Rui Chiang
7. Dan Roth
8. Benjamin Robaidek
9. Dongxiang Zhang
10. Shuming Shi

Who trusts Wenyv Guan overall

1. Zhenwen Liang
2. Jipeng Zhang
3. Qinzhuo Wu
4. Yibin Shen
5. Qi Zhang
6. Donggeon Lee
7. Xiangliang Zhang
8. Oishik Chatterjee

Papers from Wenyv Guan's perspective

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

1. Long Short-Term Memory
2. Attention is All you Need (Neural Information Processing Systems)
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. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
7. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
8. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
9. ImageNet: A large-scale hierarchical image database
10. Gradient-based learning applied to document recognition

Their papers

• Tree-structured Decoding for Solving Math Word Problems (2019) — 105 citations