Zequn Sun
Artificial Intelligence · 2017–2020
A researcher in the Science corpus: 5 papers; trusts 103 researchers and is trusted by 15 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 115 citations into it; #11,335 of 35,345 by trust here, #15,236 by citations
- Graph Learning — 48 citations into it
- Management Science and Operations Research — 45 citations into it; #4,291 of 11,946 by trust here, #3,825 by citations
- Representation & Self-Supervised Learning — 31 citations into it
- Natural Language Processing — 16 citations into it
- Statistical and Nonlinear Physics — 15 citations into it
- Knowledge Graphs & Representation — 14 citations into it
- Computer Vision and Pattern Recognition — 12 citations into it
Whom Zequn Sun trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Yankai Lin
- Tomas Mikolov
- Yoshua Bengio
- Geoffrey E. Hinton
- Antoine Bordes
- Kaiming He
- Diederik P. Kingma
- Ilya Sutskever
- Alex Krizhevsky
- Zhiyuan Liu
Who trusts Zequn Sun overall
- Lingbing Guo
- Shaoxiong Ji
- Lingfeng Zhong
- Yixin Cao
- Yuting Wu
- Wei Hu
- Bayu Distiawan Trisedya
- Chengming Wang
- Zhichun Wang
- Shirui Pan
Papers from Zequn Sun's perspective
Ordered by how strongly the researchers Zequn Sun trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
Their papers
- Cross-Lingual Entity Alignment via Joint Attribute-Preserving Embedding (2017) — 520 citations
- Bootstrapping Entity Alignment with Knowledge Graph Embedding (2018) — 597 citations
- A benchmarking study of embedding-based entity alignment for knowledge graphs (2020) — 313 citations
- Learning to Exploit Long-term Relational Dependencies in Knowledge Graphs (2019) — 308 citations
- Knowledge Graph Alignment Network with Gated Multi-hop Neighborhood Aggregation (2019) — 391 citations