Dong Huang

Computer Vision and Pattern Recognition · with Lai · 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 Dong Huang 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. Ulrike von Luxburg
8. Andrew Y. Ng
9. Brendan J. Frey
10. Sandro Vega-Pons

Who trusts Dong Huang overall

1. Xingcheng Ran
2. Changdong Wang

Papers from Dong Huang's perspective

Ordered by how strongly the researchers Dong Huang 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. Gradient-based learning applied to document recognition
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. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

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