Qian Yang
Artificial Intelligence · with Steinfeld · 2019–2020
A researcher in the Science corpus: 3 papers; trusts 8 researchers and is trusted by 3 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 41 citations into it; #27,126 of 35,345 by trust here, #16,471 by citations
- Safety, Robustness & Interpretability — 26 citations into it
- Computer Vision and Pattern Recognition — 17 citations into it
- Information Systems and Management — 8 citations into it
Whom Qian Yang trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Brian Y. Lim
- Zachary Chase Lipton
- Geoffrey E. Hinton
- Scott M. Lundberg
- David E. Rumelhart
- Margaret Mitchell
- Yoshua Bengio
- Quanshi Zhang
- Pascal Vincent
- Saleema Amershi
Who trusts Qian Yang overall
- Rowan T. Hughes
- Q. Liao
- Erico Tjoa
- Sina Mohseni
- Liming Zhu
- Carrie J. Cai
- Daniel Omeiza
- Michael Chromik
Papers from Qian Yang's perspective
Ordered by how strongly the researchers Qian Yang trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- ImageNet Large Scale Visual Recognition Challenge
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Learning Multiple Layers of Features from Tiny Images
Their papers
- Re-examining Whether, Why, and How Human-AI Interaction Is Uniquely Difficult to Design (2020) — 651 citations
- Unremarkable AI: Fitting Intelligent Decision Support into Critical, Clinical Decision-Making Processes (2019) — 303 citations
- Designing Theory-Driven User-Centric Explainable AI (2019) — 914 citations