Guojing Cong
Optimization & Training · 2017–2019
A researcher in the Science corpus: 2 papers; trusts 76 researchers and is trusted by 27 researchers here, as inferred from the citation graph.
Subfields
- Optimization & Training — 44 citations into it; #619 of 2,601 by trust here, #1,298 by citations
- Artificial Intelligence — 26 citations into it
- Computational Mechanics — 12 citations into it
- Computer Vision and Pattern Recognition — 12 citations into it
- Management Science and Operations Research — 8 citations into it
- Computer Networks and Communications — 7 citations into it
- Model Architectures — 6 citations into it
- Statistics and Probability — 5 citations into it
Whom Guojing Cong trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Alex Krizhevsky
- Karen Simonyan
- Kaiming He
- L. Eon Bottou
- Elad Hazan
- Geoffrey E. Hinton
- Andrew Zisserman
- Jia Deng
- Joseph Dean
- Yoshua Bengio
Who trusts Guojing Cong overall
- Jianyu Wang
- Farzin Haddadpour
- Tian Li
- Hao Yu
- Gauri Joshi
- Sebastian U. Stich
- Hong-You Chen
- Fan Zhou
- Anit Kumar Sahu
- Mehrdad Mahdavi
Papers from Guojing Cong's perspective
Ordered by how strongly the researchers Guojing Cong 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
- ImageNet: A large-scale hierarchical image database
- Gradient-based learning applied to document recognition
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- Going deeper with convolutions
- Learning Multiple Layers of Features from Tiny Images
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)