Yanru Qu
Artificial Intelligence · 2016–2020
A researcher in the Science corpus: 4 papers; trusts 158 researchers and is trusted by 8 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 90 citations into it; #17,900 of 35,345 by trust here, #8,525 by citations
- Computer Vision and Pattern Recognition — 53 citations into it; #11,290 of 21,575 by trust here, #11,721 by citations
- Natural Language Processing — 37 citations into it
- Representation & Self-Supervised Learning — 36 citations into it
- Safety, Robustness & Interpretability — 8 citations into it
- Information Systems — 6 citations into it
- Model Architectures — 5 citations into it
Whom Yanru Qu trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Geoffrey E. Hinton
- Alex Krizhevsky
- Yoshua Bengio
- Diederik P. Kingma
- Kaiming He
- Ilya Sutskever
- Yann LeCun
- Ian J. Goodfellow
- Ross B. Girshick
- Alex Graves
Who trusts Yanru Qu overall
- Bin Liu
- Jun Wang
- Yuyu Zhang
- Le Wu
- Pengyu Zhao
- Ming Tu
- Garrett Wilson
- Mei Wang
- Guorui Zhou
- Alan Ramponi
Papers from Yanru Qu's perspective
Ordered by how strongly the researchers Yanru Qu 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)
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- ImageNet Large Scale Visual Recognition Challenge
- Learning Multiple Layers of Features from Tiny Images
Their papers
- Wasserstein Distance Guided Representation Learning for Domain Adaptation (2017) — 1,029 citations
- Dynamically Fused Graph Network for Multi-hop Reasoning (2019) — 213 citations
- CoDA: Contrast-enhanced and Diversity-promoting Data Augmentation for Natural Language Understanding (2020) — 77 citations
- Product-Based Neural Networks for User Response Prediction (2016) — 790 citations