Shen Zhang
Control and Systems Engineering · arXiv.org · 2018–2019
A researcher in the Science corpus: 4 papers; trusts 52 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Control and Systems Engineering — 90 citations into it
- Mechanical Engineering — 64 citations into it
- Artificial Intelligence — 29 citations into it
- Mechanics of Materials — 27 citations into it
- Computer Vision and Pattern Recognition — 14 citations into it
- Representation & Self-Supervised Learning — 11 citations into it
- Industrial and Manufacturing Engineering — 7 citations into it
- Civil and Structural Engineering — 5 citations into it
Whom Shen Zhang trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Haidong Shao
- Yoshua Bengio
- Dana H. Ballard
- Chen Lu
- J. Urgen Schmidhuber
- Yaguo Lei
- Hongkai Jiang
- Alec Radford
- Kunihiko Fukushima
- Xiaoxi Ding
Who trusts Shen Zhang overall
Papers from Shen Zhang's perspective
Ordered by how strongly the researchers Shen Zhang 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)
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- 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
Their papers
- A survey of methods for monitoring and detecting thermal runaway of lithium-ion batteries (2019) — 332 citations
- Machine Learning and Deep Learning Algorithms for Bearing Fault Diagnostics - A Comprehensive Review (2019) — 477 citations
- Deep Learning Algorithms for Bearing Fault Diagnosticsx—A Comprehensive Review (2019) — 330 citations
- Taxi trips distribution modeling based on Entropy-Maximizing theory: A case study in Harbin city—China (2018) — 81 citations