Jierui Li
Artificial Intelligence · 2019–2023
A researcher in the Science corpus: 4 papers; trusts 131 researchers and is trusted by 2 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 106 citations into it; #30,552 of 35,345 by trust here, #19,873 by citations
- Natural Language Processing — 91 citations into it; #4,969 of 5,688 by trust here, #3,638 by citations
- Computer Vision and Pattern Recognition — 24 citations into it; #18,905 of 21,575 by trust here, #13,815 by citations
- Information Systems — 23 citations into it
- Model Architectures — 13 citations into it; #1,948 of 2,278 by trust here, #1,749 by citations
- Computational Theory and Mathematics — 11 citations into it
- Prompting & Reasoning — 10 citations into it
Whom Jierui Li trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Geoffrey E. Hinton
- Yoshua Bengio
- Diederik P. Kingma
- Ilya Sutskever
- Subhro Roy
- Lei Wang
- Alex Krizhevsky
- Yann LeCun
- Ashish Vaswani
- Dzmitry Bahdanau
Who trusts Jierui Li overall
- Zhenwen Liang
- Jipeng Zhang
- Iddo Drori
- Naman Jain
- Zhanming Jie
- Sarah Wiegreffe
- Mingyue Shang
- Xiangliang Zhang
- Zheng Gong
- Lei Wang
Papers from Jierui Li's perspective
Ordered by how strongly the researchers Jierui Li trusts endorse each paper. Same corpus, a different order for every researcher.
- Attention is All you Need (Neural Information Processing Systems)
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- ImageNet classification with deep convolutional neural networks
- Long Short-Term Memory
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
- Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
- ImageNet: A large-scale hierarchical image database
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
- Gradient-based learning applied to document recognition
Their papers
- Evaluating Explanation Methods for Neural Machine Translation (2020) — 29 citations
- Explaining Competitive-Level Programming Solutions using LLMs (2023) — 19 citations
- Learning to Reason Deductively: Math Word Problem Solving as Complex Relation Extraction (2022) — 93 citations
- Modeling Intra-Relation in Math Word Problems with Different Functional Multi-Head Attentions (2019) — 109 citations