Da Zheng
Artificial Intelligence · 2019–2020
A researcher in the Science corpus: 3 papers; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 61 citations into it
- Graph Learning — 56 citations into it
Whom Da Zheng trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Matthias Fey
- William L. Hamilton
- George Karypis
- Geoffrey E. Hinton
- Jure Leskovec
- Diederik P. Kingma
- Yoshua Bengio
- Thomas Kipf
- Frank Torsten Bernd Seide
- Rex Ying
Who trusts Da Zheng overall
Papers from Da Zheng's perspective
Ordered by how strongly the researchers Da Zheng 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)
- ImageNet classification with deep convolutional neural networks
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
- Learning Multiple Layers of Features from Tiny Images
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
Their papers
- Deep Graph Library: Towards Efficient and Scalable Deep Learning on Graphs (2019) — 884 citations
- DistDGL: Distributed Graph Neural Network Training for Billion-Scale Graphs (2020) — 334 citations
- Deep Graph Library: A Graph-Centric, Highly-Performant Package for Graph Neural Networks. (2019) — 1,357 citations