Min Jiang

Artificial Intelligence · with Huang · 2016

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 20 citations into it
• Computational Theory and Mathematics — 12 citations into it

Whom Min Jiang trusts overall

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

1. Kalyanmoy Deb
2. Ingo Steinwart
3. Shengxiang Yang
4. John Shawe-Taylor
5. Sinno Jialin Pan
6. Alex Smola
7. J. Branke
8. Aimin Zhou
9. Arthur Gretton
10. Bernhard Schölkopf

Who trusts Min Jiang overall

1. Yanan Sun
2. Bing Xue

Papers from Min Jiang's perspective

Ordered by how strongly the researchers Min Jiang 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. Learning Multiple Layers of Features from Tiny Images
6. Attention is All you Need (Neural Information Processing Systems)
7. Long Short-Term Memory
8. ImageNet: A large-scale hierarchical image database
9. GENERATIVE ADVERSARIAL NETS
10. Going deeper with convolutions

Their papers

• Transfer Learning-Based Dynamic Multiobjective Optimization Algorithms (2016) — 346 citations