Zhiqiang Ge
Control and Systems Engineering · 2010–2021
A researcher in the Science corpus: 5 papers; trusts 169 researchers and is trusted by 3 researchers here, as inferred from the citation graph.
Subfields
- Control and Systems Engineering — 66 citations into it; #5,568 of 8,257 by trust here, #3,682 by citations
- Artificial Intelligence — 48 citations into it
- Analytical Chemistry — 34 citations into it
- Mechanical Engineering — 29 citations into it; #4,808 of 8,300 by trust here, #5,757 by citations
- Computer Vision and Pattern Recognition — 22 citations into it
- Statistics and Probability — 20 citations into it
- Representation & Self-Supervised Learning — 16 citations into it
- Model Architectures — 14 citations into it
Whom Zhiqiang Ge trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Geoffrey E. Hinton
- S. Qin
- Yoshua Bengio
- Radford M. Neal
- Alex Krizhevsky
- Yann LeCun
- Ying-wei Zhang
- Ilya Sutskever
- Hugo Larochelle
- Tin Kam Ho
Who trusts Zhiqiang Ge overall
Papers from Zhiqiang Ge's perspective
Ordered by how strongly the researchers Zhiqiang Ge trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- 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)
- 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
- ImageNet Large Scale Visual Recognition Challenge
Their papers
- Data Mining and Analytics in the Process Industry: The Role of Machine Learning (2017) — 762 citations
- A Survey on Deep Learning for Data-Driven Soft Sensors (2021) — 489 citations
- Review on data-driven modeling and monitoring for plant-wide industrial processes (2017) — 571 citations
- Review of Recent Research on Data-Based Process Monitoring (2013) — 885 citations
- Fault detection in non-Gaussian vibration systems using dynamic statistical-based approaches (2010) — 54 citations