Hanqing Zeng
Artificial Intelligence · 2019
A researcher in the Science corpus: 1 paper; trusts 8 researchers and is trusted by 1 researcher here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 20 citations into it; #32,218 of 35,345 by trust here, #15,866 by citations
- Graph Learning — 14 citations into it
- Computer Vision and Pattern Recognition — 7 citations into it
Whom Hanqing Zeng trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Diederik P. Kingma
- Kaiming He
- Geoffrey E. Hinton
- Rex Ying
- William L. Hamilton
- Yoshua Bengio
- Jimmy Ba
- Alex Krizhevsky
- Yann LeCun
- Jure Leskovec
Who trusts Hanqing Zeng overall
- Marinka Zitnik
- Pan Li
- Lukas Galke Poech
- Weihua Hu
- Kaixiong Zhou
- Yaochen Xie
- Eli Chien
- Qian Huang
- Qitian Wu
- Yingtong Dou
Papers from Hanqing Zeng's perspective
Ordered by how strongly the researchers Hanqing Zeng 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)
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Learning Multiple Layers of Features from Tiny Images
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
Their papers
- GraphSAINT: Graph Sampling Based Inductive Learning Method (2019) — 1,203 citations