Zhongke Gao
Statistical and Nonlinear Physics · 2012–2019
A researcher in the Science corpus: 5 papers; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Statistical and Nonlinear Physics — 47 citations into it
- Economics and Econometrics — 27 citations into it
- Artificial Intelligence — 17 citations into it
- Optimization & Training — 5 citations into it
Whom Zhongke Gao trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Yoshua Bengio
- L. Eon Bottou
- Geoffrey E. Hinton
- Sergey Ioffe
- Kaiming He
- Xavier Glorot
- Vinod Nair
- Christian Szegedy
- Chstoph Bandt
- Arnaud Delorme
Who trusts Zhongke Gao overall
Papers from Zhongke Gao's perspective
Ordered by how strongly the researchers Zhongke Gao 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)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- Long Short-Term Memory
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
- Attention is All you Need (Neural Information Processing Systems)
- 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)
Their papers
- Wavelet Multiresolution Complex Network for Analyzing Multivariate Nonlinear Time Series (2017) — 60 citations
- EEG-Based Spatio–Temporal Convolutional Neural Network for Driver Fatigue Evaluation (2019) — 412 citations
- A Novel Multiplex Network-Based Sensor Information Fusion Model and Its Application to Industrial Multiphase Flow System (2018) — 72 citations
- Visibility Graph from Adaptive Optimal Kernel Time-Frequency Representation for Classification of Epileptiform EEG (2017) — 161 citations
- A directed weighted complex network for characterizing chaotic dynamics from time series (2012) — 134 citations