Yuzhong Huang

AI Ethics, Fairness & Society · 2018–2020

A researcher in the Science corpus: 2 papers; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• AI Ethics, Fairness & Society — 15 citations into it

Whom Yuzhong Huang trusts overall

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

1. Yongkai Wu
2. Toshihiro Kamishima
3. Muhammad Bilal Zafar
4. Geoff Pleiss

Papers from Yuzhong Huang's perspective

Ordered by how strongly the researchers Yuzhong 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. Counterfactual Fairness (Neural Information Processing Systems)
4. Gradient-based learning applied to document recognition
5. WaveNet: A Generative Model for Raw Audio
6. Learning Non-Discriminatory Predictors
7. Indoor Segmentation and Support Inference from RGBD Images
8. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
9. Fairness Constraints: Mechanisms for Fair Classification
10. Fairness-Aware Classifier with Prejudice Remover Regularizer

Their papers

• InteriorNet: Mega-scale Multi-sensor Photo-realistic Indoor Scenes Dataset (2018) — 256 citations
• Statistical Equity: A Fairness Classification Objective (2020) — 10 citations