Yuan Zhang
Artificial Intelligence · with Lu · 2020–2022
A researcher in the Science corpus: 4 papers; trusts 144 researchers and is trusted by 3 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 77 citations into it; #27,361 of 35,345 by trust here, #25,809 by citations
- Signal Processing — 55 citations into it; #5,783 of 7,572 by trust here, #5,829 by citations
- Computer Vision and Pattern Recognition — 53 citations into it
- Speech & Audio — 28 citations into it
- Computational Mechanics — 15 citations into it
- Model Architectures — 12 citations into it
- Optimization & Training — 11 citations into it
- Representation & Self-Supervised Learning — 9 citations into it
Whom Yuan Zhang trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Geoffrey E. Hinton
- Alex Krizhevsky
- Kaiming He
- Karen Simonyan
- Yoshua Bengio
- Ross B. Girshick
- Diederik P. Kingma
- Yann LeCun
- Andrew Zisserman
- Ilya Sutskever
Who trusts Yuan Zhang overall
Papers from Yuan Zhang's perspective
Ordered by how strongly the researchers Yuan Zhang 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
- Attention is All you Need (Neural Information Processing Systems)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- 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
- Cross-Layer Distillation with Semantic Calibration (2020) — 381 citations
- Disentangled Feature Learning for Real-Time Neural Speech Coding (2022) — 22 citations
- End-to-End Neural Speech Coding for Real-Time Communications (2022) — 39 citations
- Interactive Speech and Noise Modeling for Speech Enhancement (2020) — 114 citations