Ye-Yi Wang

Artificial Intelligence · 2001–2016

A researcher in the Science corpus: 8 papers; trusts 70 researchers and is trusted by 17 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 67 citations into it; #8,378 of 35,345 by trust here, #5,495 by citations
• Natural Language Processing — 55 citations into it; #2,842 of 5,688 by trust here, #2,333 by citations
• Representation & Self-Supervised Learning — 24 citations into it; #1,692 of 3,145 by trust here, #1,415 by citations
• Information Systems — 15 citations into it
• Computer Vision and Pattern Recognition — 13 citations into it; #9,179 of 21,575 by trust here, #4,955 by citations
• Signal Processing — 13 citations into it; #4,537 of 7,572 by trust here, #4,560 by citations
• Model Architectures — 12 citations into it
• Information Retrieval & Search — 11 citations into it

Whom Ye-Yi Wang trusts overall

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

1. Geoffrey E. Hinton
2. Yoshua Bengio
3. Martin Szummer
4. Tomas Mikolov
5. Ilya Sutskever
6. Alex Graves
7. Diederik P. Kingma
8. Sepp Hochreiter
9. Christopher D. Manning
10. Alex Krizhevsky

Who trusts Ye-Yi Wang overall

1. Dong Yu
2. Li Deng
3. Xiaodong He
4. Jian Hu
5. Yun Sang Park
6. Xiao Li
7. Xiaodong Liu
8. Yingwei Pan

Papers from Ye-Yi Wang's perspective

Ordered by how strongly the researchers Ye-Yi Wang trusts endorse each paper. Same corpus, a different order for every researcher.

1. Long Short-Term Memory
2. ImageNet classification with deep convolutional neural networks
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
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. Gradient-based learning applied to document recognition
8. ImageNet: A large-scale hierarchical image database
9. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
10. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)

Their papers

• Representation Learning Using Multi-Task Deep Neural Networks for Semantic Classification and Information Retrieval (2015) — 441 citations
• An Integrative and Discriminative Technique for Spoken Utterance Classification (2008) — 65 citations
• Learning query intent from regularized click graphs (2008) — 389 citations
• Distributed speech processing in miPad's multimodal user interface (2002) — 60 citations
• Automated directory assistance system - from theory to practice (2007) — 59 citations
• Multi-Domain Joint Semantic Frame Parsing Using Bi-Directional RNN-LSTM (2016) — 487 citations
• Intent detection using semantically enriched word embeddings (2016) — 104 citations
• MiPad: a multimodal interaction prototype (2001) — 47 citations