Chengkai Li
Artificial Intelligence · with Hu · 2017–2020
A researcher in the Science corpus: 2 papers; trusts 23 researchers and is trusted by 6 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 58 citations into it; #20,170 of 35,345 by trust here, #22,463 by citations
- Management Science and Operations Research — 20 citations into it; #6,198 of 11,946 by trust here, #5,787 by citations
- Graph Learning — 19 citations into it
- Representation & Self-Supervised Learning — 16 citations into it
- Natural Language Processing — 8 citations into it
Whom Chengkai Li trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Tomas Mikolov
- Yankai Lin
- Antoine Bordes
- Richard Socher
- Yoshua Bengio
- Ilya Sutskever
- Geoffrey E. Hinton
- John C. Duchi
- Petar Ristoski
- Jason Aaron Edward Weston
Who trusts Chengkai Li overall
Papers from Chengkai Li's perspective
Ordered by how strongly the researchers Chengkai Li trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- Distributed Representations of Words and Phrases and their Compositionality (Neural Information Processing Systems)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- Efficient Estimation of Word Representations in Vector Space
- Adaptive Subgradient Methods for Online Learning and Stochastic Optimization
- ImageNet: A large-scale hierarchical image database
Their papers
- Cross-Lingual Entity Alignment via Joint Attribute-Preserving Embedding (2017) — 520 citations
- A benchmarking study of embedding-based entity alignment for knowledge graphs (2020) — 313 citations