Xinming Wu

Artificial Intelligence · 2014–2019

A researcher in the Science corpus: 3 papers; trusts 34 researchers and is trusted by 5 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 7 citations into it
• Computer Vision and Pattern Recognition — 7 citations into it
• Geophysics — 6 citations into it; #711 of 1,958 by trust here, #1,522 by citations

Whom Xinming Wu trusts overall

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

1. Dave Hale
2. Y. Saad
3. Ross B. Girshick
4. Diederik P. Kingma
5. Kaiming He
6. Shaoqing Ren
7. Saining Xie
8. Jimmy Ba
9. David R. Martin
10. Jitendra Malik

Who trusts Xinming Wu overall

1. Siwei Yu
2. Luming Liang
3. Jianwei Ma
4. Michael J. Bianco
5. Yunzhi Shi
6. Sergey Fomel

Papers from Xinming Wu's perspective

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

1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
2. ImageNet classification with deep convolutional neural networks
3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Gradient-based learning applied to document recognition
5. ImageNet: A large-scale hierarchical image database
6. Attention is All you Need (Neural Information Processing Systems)
7. Long Short-Term Memory
8. ImageNet Large Scale Visual Recognition Challenge
9. Going deeper with convolutions
10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers

• FaultSeg3D: Using synthetic data sets to train an end-to-end convolutional neural network for 3D seismic fault segmentation (2019) — 712 citations
• Directional structure-tensor-based coherence to detect seismic faults and channels (2017) — 157 citations
• Horizon volumes with interpreted constraints (2014) — 90 citations