Yue Huang
Artificial Intelligence · with Chang · 2017
A researcher in the Science corpus: 1 paper; trusts 5 researchers and is trusted by 3 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 18 citations into it; #26,667 of 35,345 by trust here, #20,836 by citations
- Safety, Robustness & Interpretability — 15 citations into it; #1,727 of 2,251 by trust here, #1,747 by citations
- Signal Processing — 15 citations into it; #5,611 of 7,572 by trust here, #3,784 by citations
- Computer Networks and Communications — 13 citations into it; #7,180 of 9,886 by trust here, #4,757 by citations
- Information Systems — 10 citations into it
- Privacy & Security — 7 citations into it
Whom Yue Huang trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Who trusts Yue Huang overall
Papers from Yue Huang's perspective
Ordered by how strongly the researchers Yue Huang trusts endorse each paper. Same corpus, a different order for every researcher.
- Explaining and Harnessing Adversarial Examples
- ImageNet classification with deep convolutional neural networks
- Gradient-based learning applied to document recognition
- Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Evasion Attacks against Machine Learning at Test Time
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Can machine learning be secure?
- Learning Multiple Layers of Features from Tiny Images
- Attention is All you Need (Neural Information Processing Systems)
Their papers
- Evading Classifiers by Morphing in the Dark (2017) — 126 citations