Mingqing Hu

Computer Vision and Pattern Recognition · 2014–2015

A researcher in the Science corpus: 2 papers; trusts 19 researchers and is trusted by 10 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 23 citations into it; #9,925 of 21,575 by trust here, #13,542 by citations
• Artificial Intelligence — 11 citations into it
• Representation & Self-Supervised Learning — 8 citations into it

Whom Mingqing Hu trusts overall

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

1. David Roi Hardoon
2. Guiguang Ding
3. Joel A. Tropp
4. Geoffrey E. Hinton
5. Jile Zhou
6. Min-Ling Zhang
7. Dongqing Zhang
8. Yair Weiss
9. Kaiming He

Who trusts Mingqing Hu overall

1. Cheng Deng
2. Erkun Yang
3. Li Liu
4. Qing-Yuan Jiang

Papers from Mingqing Hu's perspective

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

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

Their papers

• Semantics-preserving hashing for cross-view retrieval (2015) — 497 citations
• Multi-label Classification via Feature-aware Implicit Label Space Encoding (2014) — 126 citations