Wen Feng Lu
Mechanical Engineering · 2016–2018
A researcher in the Science corpus: 4 papers; trusts 51 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Mechanical Engineering — 43 citations into it
- Automotive Engineering — 34 citations into it
- Computer Vision and Pattern Recognition — 20 citations into it
- Civil and Structural Engineering — 15 citations into it
- Industrial and Manufacturing Engineering — 15 citations into it
- Polymers and Plastics — 11 citations into it
- Artificial Intelligence — 9 citations into it
- Mechanics of Materials — 8 citations into it
Whom Wen Feng Lu trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from Wen Feng Lu's perspective
Ordered by how strongly the researchers Wen Feng Lu trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet: A large-scale hierarchical image database
- ImageNet classification with deep convolutional neural networks
- Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation
- Gradient-based learning applied to document recognition
- Fully convolutional networks for semantic segmentation
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet Large Scale Visual Recognition Challenge
- Long Short-Term Memory
Their papers
- Tree-Structured Reinforcement Learning for Sequential Object Localization (2016) — 133 citations
- Energy absorption characteristics of metallic triply periodic minimal surface sheet structures under compressive loading (2018) — 753 citations
- Nozzle condition monitoring in 3D printing (2018) — 169 citations
- Optimisation of functionally graded lattice structures using isostatic lines (2017) — 159 citations