Yuanbin Wu

Artificial Intelligence · 2009–2019

A researcher in the Science corpus: 4 papers; trusts 51 researchers and is trusted by 11 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 49 citations into it; #12,205 of 35,345 by trust here, #15,236 by citations
• Natural Language Processing — 26 citations into it; #5,113 of 5,688 by trust here, #4,983 by citations
• Representation & Self-Supervised Learning — 24 citations into it
• Computer Vision and Pattern Recognition — 7 citations into it
• Safety, Robustness & Interpretability — 6 citations into it

Whom Yuanbin Wu trusts overall

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

1. Theresa Wilson
2. Janyce Wiebe
3. Christopher D. Manning
4. Daniel Klein
5. Minqing Hu
6. Aron Culotta
7. Diederik P. Kingma
8. Geoffrey E. Hinton
9. Tomas Mikolov
10. Ilya Sutskever

Who trusts Yuanbin Wu overall

1. Aliaksei Severyn
2. Ronen Feldman
3. Kevin Gimpel
4. Wenya Wang
5. Wayne Xin Zhao
6. Jorge A. Balazs
7. Mingxia Liu
8. B. Liu
9. Noah A. Smith
10. Sinno Jialin Pan

Papers from Yuanbin Wu's perspective

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

Their papers

• Exploring Human Gender Stereotypes with Word Association Test (2019) — 27 citations
• Phrase Dependency Parsing for Opinion Mining (2009) — 436 citations
• ECNU at SemEval-2017 Task 1: Leverage Kernel-based Traditional NLP features and Neural Networks to Build a Universal Model for Multilingual and Cross-lingual Semantic Textual Similarity (2017) — 79 citations
• A survey of multi-source domain adaptation (2015) — 334 citations