Shiyue Zhang

Artificial Intelligence · 2016–2021

A researcher in the Science corpus: 4 papers; trusts 506 researchers and is trusted by 20 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 131 citations into it; #8,200 of 35,345 by trust here, #14,718 by citations
• Natural Language Processing — 115 citations into it; #2,143 of 5,688 by trust here, #3,638 by citations
• Computer Vision and Pattern Recognition — 52 citations into it; #7,788 of 21,575 by trust here, #15,529 by citations
• Evaluation & Benchmarks — 41 citations into it; #1,579 of 3,147 by trust here, #2,590 by citations
• Large Language Models — 14 citations into it
• Safety, Robustness & Interpretability — 14 citations into it
• Model Architectures — 7 citations into it
• Reinforcement Learning — 7 citations into it

Whom Shiyue Zhang trusts overall

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

1. Diederik P. Kingma
2. Yoshua Bengio
3. Geoffrey E. Hinton
4. Ronald J. Williams
5. Chin-Yew Lin
6. Ilya Sutskever
7. Alex Krizhevsky
8. Kaiming He
9. Jimmy Ba
10. Yann LeCun

Who trusts Shiyue Zhang overall

1. Adyasha Maharana
2. Mohit Bansal
3. Tanya Goyal
4. Li Dong
5. Sebastian Gehrmann
6. Tianyu Gao
7. Jiaao Chen
8. Yu Yan
9. Greg Durrett
10. Hangbo Bao

Papers from Shiyue Zhang's perspective

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

Their papers

• Addressing Semantic Drift in Question Generation for Semi-Supervised Question Answering (2019) — 143 citations
• Leakage-Adjusted Simulatability: Can Models Generate Non-Trivial Explanations of Their Behavior in Natural Language? (2020) — 120 citations
• Finding a Balanced Degree of Automation for Summary Evaluation (2021) — 55 citations
• Memory visualization for gated recurrent neural networks in speech recognition (2016) — 56 citations