Yunyang Xiong
Artificial Intelligence · with Singh · 2019–2021
A researcher in the Science corpus: 2 papers; trusts 145 researchers and is trusted by 1 researcher here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 55 citations into it; #33,743 of 35,345 by trust here, #14,181 by citations
- Computer Vision and Pattern Recognition — 46 citations into it
- Model Architectures — 25 citations into it; #2,129 of 2,278 by trust here, #1,352 by citations
- Efficiency & Compression — 22 citations into it; #1,198 of 1,264 by trust here, #778 by citations
- Evaluation & Benchmarks — 8 citations into it
- Neural Architecture Search & AutoML — 7 citations into it
- Optimization & Training — 7 citations into it
- Representation & Self-Supervised Learning — 7 citations into it
Whom Yunyang Xiong trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Alex Krizhevsky
- Geoffrey E. Hinton
- Barret Zoph
- Kaiming He
- Yoshua Bengio
- Quoc V. Le
- Christian Szegedy
- Diederik P. Kingma
- Ilya Sutskever
- Karen Simonyan
Who trusts Yunyang Xiong overall
- Shuhao Cao
- Beidi Chen
- Shiyu Chang
- Ho Kei Cheng
- Tri Dao
- Yunjie Tian
- Quentin Fournier
- Feyza Duman Keles
- Nico Engel
- Alex Morehead
Papers from Yunyang Xiong's perspective
Ordered by how strongly the researchers Yunyang Xiong trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- ImageNet: A large-scale hierarchical image database
- Gradient-based learning applied to document recognition
- Learning Multiple Layers of Features from Tiny Images
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
Their papers
- Nyströmformer: A Nystöm-based Algorithm for Approximating Self-Attention (2021) — 733 citations
- Resource Constrained Neural Network Architecture Search: Will a Submodularity Assumption Help? (2019) — 38 citations