SHIYANG LI

Artificial Intelligence · 2019–2022

A researcher in the Science corpus: 4 papers; trusts 35 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 77 citations into it; #27,605 of 35,345 by trust here, #7,062 by citations
• Natural Language Processing — 51 citations into it
• Computer Vision and Pattern Recognition — 37 citations into it
• Model Architectures — 23 citations into it; #1,832 of 2,278 by trust here, #1,131 by citations
• Large Language Models — 18 citations into it
• Time-Series & Forecasting — 13 citations into it; #321 of 381 by trust here, #56 by citations
• Generative Models — 7 citations into it
• Prompting & Reasoning — 6 citations into it

Whom SHIYANG LI trusts overall

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

1. Alex Graves
2. Ilya Sutskever
3. Geoffrey E. Hinton
4. Yoshua Bengio
5. Diederik P. Kingma
6. Oriol Vinyals
7. Ashish Vaswani
8. Nicolas Chapados
9. Alex Krizhevsky
10. Sepp Hochreiter

Who trusts SHIYANG LI overall

1. Tian Zhou
2. Haixu Wu
3. Gerald Woo
4. Jiehui Xu
5. Ailing Zeng
6. Bryan Lim
7. Yunhao Zhang
8. Hao Xue
9. Juan Miguel Lopez Alcaraz
10. Qingsong Wen

Papers from SHIYANG LI's perspective

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

Their papers

• TabFact: A Large-scale Dataset for Table-based Fact Verification (2019) — 700 citations
• Enhancing the Locality and Breaking the Memory Bottleneck of Transformer on Time Series Forecasting (2019) — 1,983 citations
• Limitations of Language Models in Arithmetic and Symbolic Induction (2022) — 92 citations
• Multi-step Deep Autoregressive Forecasting with Latent States (2019)