Juan-Zi Li
Artificial Intelligence · 2008–2021
A researcher in the Science corpus: 13 papers; trusts 150 researchers and is trusted by 4 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 329 citations into it; #22,458 of 35,345 by trust here, #4,747 by citations
- Natural Language Processing — 158 citations into it; #4,224 of 5,688 by trust here, #1,674 by citations
- Large Language Models — 102 citations into it
- Computer Vision and Pattern Recognition — 91 citations into it
- Representation & Self-Supervised Learning — 47 citations into it
- Information Systems — 45 citations into it; #5,940 of 8,771 by trust here, #1,815 by citations
- Management Science and Operations Research — 33 citations into it
- Prompting & Reasoning — 33 citations into it
Whom Juan-Zi Li trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Geoffrey E. Hinton
- Jayant Madhavan
- Yoshua Bengio
- Erhard Rahm
- George A. Miller
- Richard Socher
- Hong Hai Do
- Ilya Sutskever
- Diederik P. Kingma
- Tomas Mikolov
Who trusts Juan-Zi Li overall
- Philip A. Bernstein
- Liang Yao
- Xiao Huang
- Xiang Wang
- Simon Lacoste-Julien
- Bayu Distiawan Trisedya
- Quan Wang
- Jérôme Euzenat
- Jie Tang
- Pavel Shvaiko
Papers from Juan-Zi Li's perspective
Ordered by how strongly the researchers Juan-Zi 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)
- Long Short-Term Memory
- ImageNet classification with deep convolutional neural networks
- 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
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
- Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
Their papers
- KEPLER: A Unified Model for Knowledge Embedding and Pre-trained Language Representation (2019) — 843 citations
- Knowledgeable Prompt-tuning: Incorporating Knowledge into Prompt Verbalizer for Text Classification (2021) — 439 citations
- ArnetMiner: extraction and mining of academic social networks (2008) — 2,565 citations
- RiMOM: A Dynamic Multistrategy Ontology Alignment Framework (2009) — 471 citations
- CPM: A Large-scale Generative Chinese Pre-trained Language Model (2020) — 132 citations
- Multi-Channel Graph Neural Network for Entity Alignment (2019) — 302 citations
- On Transferability of Prompt Tuning for Natural Language Understanding (2021) — 21 citations
- Exploring Low-dimensional Intrinsic Task Subspace via Prompt Tuning (2021) — 39 citations
- Prompt-Learning for Fine-Grained Entity Typing (2021) — 176 citations
- MAVEN: A Massive General Domain Event Detection Dataset (2020) — 225 citations
- OpenKE: An Open Toolkit for Knowledge Embedding (2018) — 371 citations
- Text-Enhanced Representation Learning for Knowledge Graph (2016) — 215 citations
- The Semantic Web (2011)