Zhang Yi
Artificial Intelligence · 2017–2020
A researcher in the Science corpus: 5 papers; trusts 206 researchers and is trusted by 5 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 109 citations into it; #11,071 of 35,345 by trust here, #16,166 by citations
- Computational Theory and Mathematics — 71 citations into it; #3,815 of 12,182 by trust here, #4,850 by citations
- Computer Vision and Pattern Recognition — 52 citations into it; #13,385 of 21,575 by trust here, #16,367 by citations
- Management Science and Operations Research — 23 citations into it; #6,031 of 11,946 by trust here, #8,906 by citations
- Model Architectures — 16 citations into it
- Radiology, Nuclear Medicine and Imaging — 11 citations into it
- Optimization & Training — 10 citations into it
- Representation & Self-Supervised Learning — 9 citations into it
Whom Zhang Yi trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Kalyanmoy Deb
- Yoshua Bengio
- Geoffrey E. Hinton
- Yann LeCun
- Eckart Zitzler
- Alex Krizhevsky
- Matthew D. Zeiler
- Qingfu Zhang
- Kaiming He
- Ilya Sutskever
Who trusts Zhang Yi overall
Papers from Zhang Yi's perspective
Ordered by how strongly the researchers Zhang Yi 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)
- Gradient-based learning applied to document recognition
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- ImageNet: A large-scale hierarchical image database
- Learning Multiple Layers of Features from Tiny Images
- Attention is All you Need (Neural Information Processing Systems)
- Going deeper with convolutions
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
Their papers
- Reference line-based Estimation of Distribution Algorithm for many-objective optimization (2017) — 25 citations
- Improved Regularity Model-Based EDA for Many-Objective Optimization (2018) — 43 citations
- IGD Indicator-Based Evolutionary Algorithm for Many-Objective Optimization Problems (2018) — 472 citations
- Evolutionary Compression of Deep Neural Networks for Biomedical Image Segmentation (2020) — 59 citations
- Evolving Unsupervised Deep Neural Networks for Learning Meaningful Representations (2017) — 139 citations