Qiang Li

Artificial Intelligence · with Bian · 2017–2018

A researcher in the Science corpus: 2 papers; trusts 27 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 28 citations into it; #30,071 of 35,345 by trust here, #25,809 by citations
• Graph Learning — 15 citations into it
• Representation & Self-Supervised Learning — 14 citations into it
• Computer Vision and Pattern Recognition — 10 citations into it
• Statistical and Nonlinear Physics — 9 citations into it
• Generative Models — 8 citations into it

Whom Qiang Li trusts overall

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

1. Geoffrey E. Hinton
2. Diederik P. Kingma
3. Yoshua Bengio
4. Ilya Sutskever
5. Tomas Mikolov
6. Alex Krizhevsky
7. Individualized Treat
8. Yann LeCun
9. Max Welling
10. L. V. D. van der Maaten

Who trusts Qiang Li overall

1. Aleksandar Bojchevski

Papers from Qiang Li's perspective

Ordered by how strongly the researchers Qiang Li 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. Attention is All you Need (Neural Information Processing Systems)
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Long Short-Term Memory
6. Gradient-based learning applied to document recognition
7. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
8. ImageNet: A large-scale hierarchical image database
9. GENERATIVE ADVERSARIAL NETS
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• Adversarial Network Embedding (2017) — 229 citations
• Large-Scale Order Dispatch in On-Demand Ride-Hailing Platforms: A Learning and Planning Approach (2018) — 444 citations