Wuyang Chen
Computer Vision and Pattern Recognition · 2017–2022
A researcher in the Science corpus: 8 papers; trusts 819 researchers and is trusted by 3 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 306 citations into it; #16,404 of 21,575 by trust here, #9,079 by citations
- Artificial Intelligence — 224 citations into it; #26,820 of 35,345 by trust here, #15,866 by citations
- Model Architectures — 84 citations into it
- Optimization & Training — 50 citations into it
- Efficiency & Compression — 42 citations into it
- Computational Mechanics — 31 citations into it
- Neural Architecture Search & AutoML — 24 citations into it; #267 of 283 by trust here, #250 by citations
- Media Technology — 18 citations into it
Whom Wuyang Chen trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Kaiming He
- Geoffrey E. Hinton
- Alex Krizhevsky
- Karen Simonyan
- Ross B. Girshick
- Yoshua Bengio
- Diederik P. Kingma
- Yann LeCun
- Ilya Sutskever
- Quoc V. Le
Who trusts Wuyang Chen overall
- Yonggan Fu
- Jiacong Xu
- Huihui Pan
- Houwen Peng
- Junshi Xia
- Kai Han
- Qin Liu
- Wenqiang Zhang
- Xuelian Cheng
- Zhongzhi Yu
Papers from Wuyang Chen's perspective
Ordered by how strongly the researchers Wuyang Chen 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)
- ImageNet: A large-scale hierarchical image database
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- ImageNet Large Scale Visual Recognition Challenge
- Going deeper with convolutions
Their papers
- A Simple Single-Scale Vision Transformer for Object Localization and Instance Segmentation (2021) — 44 citations
- ABD-Net: Attentive but Diverse Person Re-Identification (2019) — 555 citations
- FasterSeg: Searching for Faster Real-time Semantic Segmentation (2019) — 209 citations
- Auto-scaling Vision Transformers without Training (2022) — 28 citations
- Neural Architecture Search on ImageNet in Four GPU Hours: A Theoretically Inspired Perspective (2021) — 298 citations
- Learning to Optimize: A Primer and A Benchmark (2021) — 358 citations
- AutoGAN-Distiller: Searching to Compress Generative Adversarial Networks (2020) — 92 citations
- Double perovskite LiLaMgWO6:Eu3+ novel red-emitting phosphors for solid sate lighting: Synthesis, structure and photoluminescent properties (2017) — 165 citations