Changdong Wang

Computer Vision and Pattern Recognition · 2016–2019

A researcher in the Science corpus: 2 papers; trusts 33 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 14 citations into it
• Artificial Intelligence — 12 citations into it
• Signal Processing — 5 citations into it

Whom Changdong Wang trusts overall

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

1. Anil K. Jain
2. Ana L. N. Fred
3. Alexander Strehl
4. Xiaoli Z. Fern
5. Zhenguo Li
6. Yann LeCun
7. Andrew Y. Ng
8. Ulrike von Luxburg
9. Brendan J. Frey
10. Sandro Vega-Pons

Who trusts Changdong Wang overall

1. Dong Huang

Papers from Changdong Wang's perspective

Ordered by how strongly the researchers Changdong Wang 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. Gradient-based learning applied to document recognition
3. ImageNet classification with deep convolutional neural networks
4. Long Short-Term Memory
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. ImageNet: A large-scale hierarchical image database
7. Attention is All you Need (Neural Information Processing Systems)
8. Going deeper with convolutions
9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers

• Ultra-Scalable Spectral Clustering and Ensemble Clustering (2019) — 448 citations
• Locally Weighted Ensemble Clustering (2016) — 342 citations