Zhijiang Guo
Artificial Intelligence · 2019–2024
A researcher in the Science corpus: 6 papers; trusts 168 researchers and is trusted by 8 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 260 citations into it; #18,960 of 35,345 by trust here, #16,771 by citations
- Natural Language Processing — 160 citations into it
- Evaluation & Benchmarks — 68 citations into it; #2,973 of 3,147 by trust here, #2,062 by citations
- Sociology and Political Science — 63 citations into it
- Computer Vision and Pattern Recognition — 55 citations into it
- Information Systems — 50 citations into it
- Large Language Models — 36 citations into it
- Safety, Robustness & Interpretability — 32 citations into it
Whom Zhijiang Guo trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Geoffrey E. Hinton
- Yoshua Bengio
- Diederik P. Kingma
- Richard Socher
- Christopher D. Manning
- Sepp Hochreiter
- Ilya Sutskever
- Alex Krizhevsky
- Yann LeCun
- Kaiming He
Who trusts Zhijiang Guo overall
- Wenxuan Zhou
- Lingfeng Zhong
- Shaoxiong Ji
- Shirui Pan
- Ningyu Zhang
- Xiang Chen
- Kevin Huang
- Wenhu Chen
- Michael Sejr Schlichtkrull
- Jia Wu
Papers from Zhijiang Guo's perspective
Ordered by how strongly the researchers Zhijiang Guo trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Attention is All you Need (Neural Information Processing Systems)
- 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)
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
Their papers
- A Survey on Automated Fact-Checking (2021) — 757 citations
- Attention Guided Graph Convolutional Networks for Relation Extraction (2019) — 461 citations
- Knowledge Conflicts for LLMs: A Survey (2024) — 301 citations
- The Fact Extraction and VERification Over Unstructured and Structured information (FEVEROUS) Shared Task (2021)
- FEVEROUS: Fact Extraction and VERification Over Unstructured and Structured information (2021) — 259 citations
- Reasoning with Latent Structure Refinement for Document-Level Relation Extraction (2020) — 323 citations