Wei Lu

Optimization & Training · with Hong · 2005–2020

A researcher in the Science corpus: 2 papers; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Optimization & Training — 5 citations into it

Whom Wei Lu trusts overall

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

1. Aapo Hyvärinen
2. Dimitri P. Bertsekas
3. Anthony J. Bell
4. Terrence J. Sejnowski
5. John G. Proakis
6. Jean-François Cardoso
7. Shun-ichi Amari
8. Geoffrey E. Hinton

Who trusts Wei Lu overall

1. Muhammad Naeem
2. Clemens Brunner

Papers from Wei Lu's perspective

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

1. A New Learning Algorithm for Blind Signal Separation
2. An Information-Maximization Approach to Blind Separation and Blind Deconvolution
3. Gradient-based learning applied to document recognition
4. Probability, random variables and stochastic processes
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. ImageNet classification with deep convolutional neural networks
7. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
8. GENERATIVE ADVERSARIAL NETS
9. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
10. Fast and robust fixed-point algorithms for independent component analysis

Their papers

• Image-based concrete crack detection in tunnels using deep fully convolutional networks (2020) — 467 citations
• Approach and applications of constrained ICA (2005) — 301 citations