Zhixin Lu

Artificial Intelligence · 2017–2018

A researcher in the Science corpus: 3 papers; trusts 1 researcher and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 21 citations into it; #30,120 of 35,345 by trust here, #16,471 by citations
• Electrical and Electronic Engineering — 16 citations into it

Whom Zhixin Lu trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Herbert Jaeger

Who trusts Zhixin Lu overall

1. Pantelis R. Vlachas
2. Nicholas Geneva
3. Jaideep Pathak

Papers from Zhixin Lu's perspective

Ordered by how strongly the researchers Zhixin Lu trusts endorse each paper. Same corpus, a different order for every researcher.

1. Linear Regression Analysis: Theory and Computing
2. Long Short-Term Memory
3. ImageNet classification with deep convolutional neural networks
4. Gradient-based learning applied to document recognition
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
7. Attention is All you Need (Neural Information Processing Systems)
8. This PDF file includes: Materials and Methods
9. Learning Multiple Layers of Features from Tiny Images
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• Attractor reconstruction by machine learning. (2018) — 403 citations
• Model-Free Prediction of Large Spatiotemporally Chaotic Systems from Data: A Reservoir Computing Approach. (2018) — 1,176 citations
• Using machine learning to replicate chaotic attractors and calculate Lyapunov exponents from data. (2017) — 674 citations