Hai Qian

Artificial Intelligence · 2019

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

Subfields

• Artificial Intelligence — 60 citations into it
• Safety, Robustness & Interpretability — 36 citations into it
• Safety Research — 34 citations into it

Whom Hai Qian trusts overall

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

1. Moritz Hardt
2. Alex Beutel
3. Cynthia Dwork
4. Lucas Dixon

Who trusts Hai Qian overall

1. Flavien Prost

Papers from Hai Qian's perspective

Ordered by how strongly the researchers Hai Qian 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. ImageNet: A large-scale hierarchical image database
6. Attention is All you Need (Neural Information Processing Systems)
7. Long Short-Term Memory
8. Learning Multiple Layers of Features from Tiny Images
9. Equality of Opportunity in Supervised Learning
10. GENERATIVE ADVERSARIAL NETS

Their papers

• Fairness in Recommendation Ranking through Pairwise Comparisons (2019) — 457 citations
• Toward a better trade-off between performance and fairness with kernel-based distribution matching (2019) — 49 citations
• Putting Fairness Principles into Practice: Challenges, Metrics, and Improvements (2019) — 176 citations