Liang Lan

2012–2013

A researcher in the Science corpus: 2 papers; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.

Whom Liang Lan trusts overall

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

1. Martin A. Riedmiller

Who trusts Liang Lan overall

1. Zoltán Szabó

Papers from Liang Lan's perspective

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

1. A direct adaptive method for faster backpropagation learning: the RPROP algorithm
2. A Framework for Multiple-Instance Learning
3. Solving the Multiple Instance Problem with Axis-Parallel Rectangles
4. Support Vector Machines for Multiple-Instance Learning
5. ImageNet classification with deep convolutional neural networks
6. Gradient-based learning applied to document recognition
7. ImageNet Large Scale Visual Recognition Challenge
8. Reading Digits in Natural Images with Unsupervised Feature Learning
9. Reinforcement Learning: An Introduction
10. Stacked Denoising Autoencoders: Learning Useful Representations in a Deep Network with a Local Denoising Criterion

Their papers

• A large-scale evaluation of computational protein function prediction (2013) — 1,002 citations
• Mixture Model for Multiple Instance Regression and Applications in Remote Sensing (2012) — 55 citations