Lun Du
Artificial Intelligence · 2018–2020
A researcher in the Science corpus: 2 papers; trusts 20 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 46 citations into it
- Natural Language Processing — 27 citations into it
- Information Systems — 20 citations into it
- Graph Learning — 14 citations into it
- Representation & Self-Supervised Learning — 13 citations into it
- Computer Vision and Pattern Recognition — 9 citations into it
- Evaluation & Benchmarks — 8 citations into it
- Molecular Biology — 5 citations into it
Whom Lun Du trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Ilya Sutskever
- Geoffrey E. Hinton
- Yoshua Bengio
- Tomas Mikolov
- Ronald J. Williams
- Diederik P. Kingma
- Oriol Vinyals
- Alex Krizhevsky
- Omer Levy
- Yann LeCun
Who trusts Lun Du overall
Papers from Lun Du's perspective
Ordered by how strongly the researchers Lun Du trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Attention is All you Need (Neural Information Processing Systems)
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Long Short-Term Memory
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
- ImageNet: A large-scale hierarchical image database
- Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
- Learning Multiple Layers of Features from Tiny Images
Their papers
- CoCoGUM: Contextual Code Summarization with Multi-Relational GNN on UMLs (2020) — 24 citations
- Dynamic Network Embedding : An Extended Approach for Skip-gram based Network Embedding (2018) — 231 citations