Yuqing Tang

Artificial Intelligence · 2019–2021

A researcher in the Science corpus: 6 papers; trusts 165 researchers and is trusted by 8 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 196 citations into it; #16,818 of 35,345 by trust here, #10,942 by citations
• Natural Language Processing — 163 citations into it; #3,962 of 5,688 by trust here, #3,897 by citations
• Computer Vision and Pattern Recognition — 94 citations into it; #14,497 of 21,575 by trust here, #9,435 by citations
• Evaluation & Benchmarks — 34 citations into it
• Representation & Self-Supervised Learning — 21 citations into it; #2,476 of 3,145 by trust here, #2,587 by citations
• Efficiency & Compression — 9 citations into it

Whom Yuqing Tang trusts overall

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

1. Philipp Koehn
2. Yoshua Bengio
3. Geoffrey E. Hinton
4. Diederik P. Kingma
5. Holger Schwenk
6. Myle Ott
7. Ilya Sutskever
8. Mikel Artetxe
9. Ashish Vaswani
10. Alex Krizhevsky

Who trusts Yuqing Tang overall

1. Laura Perez-Beltrachini
2. Changhan Wang
3. Shahar Levy
4. Juan Pino
5. Hang Le
6. Francisco (Paco) Guzmán
7. Xian Li
8. Philipp Koehn
9. Brian Thompson
10. Dheeru Dua

Papers from Yuqing Tang's perspective

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

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

Their papers

• Cross-lingual Retrieval for Iterative Self-Supervised Training (2020) — 76 citations
• Low-Resource Corpus Filtering Using Multilingual Sentence Embeddings (2019) — 84 citations
• Multilingual Translation with Extensible Multilingual Pretraining and Finetuning (2020) — 563 citations
• Deep Transformers with Latent Depth (2020) — 31 citations
• Multilingual Translation from Denoising Pre-Training (2021) — 146 citations
• Multilingual Speech Translation from Efficient Finetuning of Pretrained Models (2021) — 167 citations