Longyue Wang

Artificial Intelligence · 2014–2023

A researcher in the Science corpus: 10 papers; trusts 147 researchers and is trusted by 8 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 251 citations into it; #15,109 of 35,345 by trust here, #9,275 by citations
• Natural Language Processing — 154 citations into it; #3,247 of 5,688 by trust here, #3,638 by citations
• Computer Vision and Pattern Recognition — 91 citations into it; #9,983 of 21,575 by trust here, #9,187 by citations
• Large Language Models — 54 citations into it
• Model Architectures — 38 citations into it; #1,640 of 2,278 by trust here, #1,665 by citations
• Evaluation & Benchmarks — 21 citations into it
• Optimization & Training — 12 citations into it
• Machine Translation — 8 citations into it

Whom Longyue Wang trusts overall

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

1. Philipp Koehn
2. Yoshua Bengio
3. Franz Joseph Och
4. Ilya Sutskever
5. Geoffrey E. Hinton
6. Dzmitry Bahdanau
7. Kyunghyun Cho
8. Michael Collins
9. Diederik P. Kingma
10. Oriol Vinyals

Who trusts Longyue Wang overall

1. Felix Stahlberg
2. Kellie Webster
3. Dario Stojanovski
4. Zhaopeng Tu
5. Lei Yu
6. Jiatao Gu
7. Rachel Bawden
8. Lesly Miculicich
9. Shaohui Kuang
10. Kalpesh Krishna

Papers from Longyue Wang's perspective

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

Their papers

• Convolutional Self-Attention Networks (2019) — 135 citations
• Exploiting Cross-Sentence Context for Neural Machine Translation (2017) — 209 citations
• Modeling Recurrence for Transformer (2019) — 87 citations
• Linguistically-augmented perplexity-based data selection for language models (2015) — 19 citations
• Towards Understanding Neural Machine Translation with Word Importance (2019) — 45 citations
• Siren's Song in the AI Ocean: A Survey on Hallucination in Large Language Models (2023) — 1,079 citations
• Learning to Jointly Translate and Predict Dropped Pronouns with a Shared Reconstruction Mechanism (2018) — 27 citations
• Convolutional Self-Attention Network (2018) — 11 citations
• Combining Domain Adaptation Approaches for Medical Text Translation (2014) — 9 citations
• Domain Adaptation for Medical Text Translation using Web Resources (2014) — 8 citations