Guorui Zhou
Artificial Intelligence · 2017–2019
A researcher in the Science corpus: 4 papers; trusts 48 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 61 citations into it
- Computer Vision and Pattern Recognition — 49 citations into it
- Information Systems — 34 citations into it
- Model Architectures — 29 citations into it
- Management Science and Operations Research — 14 citations into it
- Recommender Systems — 12 citations into it
- Natural Language Processing — 8 citations into it
- Optimization & Training — 8 citations into it
Whom Guorui Zhou trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Kaiming He
- Geoffrey E. Hinton
- Diederik P. Kingma
- Yoshua Bengio
- Alex Krizhevsky
- Yann LeCun
- Sergey Zagoruyko
- Ronald J. Williams
- Dzmitry Bahdanau
- Jimmy Ba
Who trusts Guorui Zhou overall
- Qi Pi
- Jianxin Chang
- Pengyu Zhao
- Yufei Feng
- Hongwei Wang
- Xiaoqiang Zhu
- Chaoyue Niu
- Maxim Naumov
- Jin Chen
- Chen Gao
Papers from Guorui Zhou's perspective
Ordered by how strongly the researchers Guorui Zhou 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
- Long Short-Term Memory
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Attention is All you Need (Neural Information Processing Systems)
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- Going deeper with convolutions
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
Their papers
- Deep Interest Network for Click-Through Rate Prediction (2017) — 2,280 citations
- Rocket Launching: A Universal and Efficient Framework for Training Well-performing Light Net (2017) — 129 citations
- Deep Interest Evolution Network for Click-Through Rate Prediction (2018) — 1,336 citations
- Practice on Long Sequential User Behavior Modeling for Click-Through Rate Prediction (2019) — 332 citations