Ziyu Yao

Artificial Intelligence · 2018–2022

A researcher in the Science corpus: 4 papers; trusts 171 researchers and is trusted by 5 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 172 citations into it; #23,282 of 35,345 by trust here, #10,207 by citations
• Natural Language Processing — 128 citations into it
• Computer Vision and Pattern Recognition — 54 citations into it
• Information Systems — 41 citations into it; #7,538 of 8,771 by trust here, #4,188 by citations
• Evaluation & Benchmarks — 25 citations into it
• Model Architectures — 16 citations into it
• Reinforcement Learning — 13 citations into it
• Management Science and Operations Research — 10 citations into it

Whom Ziyu Yao trusts overall

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

1. Geoffrey E. Hinton
2. Diederik P. Kingma
3. Ilya Sutskever
4. Yoshua Bengio
5. Alex Krizhevsky
6. Ronald J. Williams
7. Yann LeCun
8. J. Urgen Schmidhuber
9. Sepp Hochreiter
10. Jimmy Ba

Who trusts Ziyu Yao overall

1. Zhuang Li
2. Hamel Husain
3. Wenhua Wang
4. Pengcheng Yin
5. Junjie Huang
6. Frank F. Xu
7. Lizhen Qu
8. Ahmed Elnaggar
9. Richard Shin
10. Hongqiu Wu

Papers from Ziyu Yao's perspective

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

1. ImageNet classification with deep convolutional neural networks
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. Long Short-Term Memory
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. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
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

• UnifiedSKG: Unifying and Multi-Tasking Structured Knowledge Grounding with Text-to-Text Language Models (2022) — 362 citations
• Model-based Interactive Semantic Parsing: A Unified Framework and A Text-to-SQL Case Study (2019) — 87 citations
• StaQC: A Systematically Mined Question-Code Dataset from Stack Overflow (2018) — 113 citations
• CoaCor: Code Annotation for Code Retrieval with Reinforcement Learning (2019) — 109 citations