Jiancheng Yang
Artificial Intelligence · with Ni · 2019–2021
A researcher in the Science corpus: 3 papers; trusts 25 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 43 citations into it
- Computer Vision and Pattern Recognition — 40 citations into it
- Model Architectures — 16 citations into it
- Optimization & Training — 11 citations into it
- Medical Imaging — 9 citations into it
- Efficiency & Compression — 5 citations into it
Whom Jiancheng Yang trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Kaiming He
- Diederik P. Kingma
- Geoffrey E. Hinton
- Yoshua Bengio
- Alex Krizhevsky
- Jimmy Ba
- Yann LeCun
- Ilya Sutskever
- Ross B. Girshick
- Richard S. Sutton
Who trusts Jiancheng Yang overall
- Omid Nejati Manzari
- Xiaoman Zhang
- Ishan Misra
- Nico Engel
- Saifullahi Aminu Bello
- Hamid Ahmadabadi
- Zehua Sun
- Tiange Xiang
- Xu Yan
- Mingxia Liu
Papers from Jiancheng Yang's perspective
Ordered by how strongly the researchers Jiancheng Yang 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
- 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)
- Learning Multiple Layers of Features from Tiny Images
- Going deeper with convolutions
Their papers
- Modeling Point Clouds With Self-Attention and Gumbel Subset Sampling (2019) — 441 citations
- MedMNIST v2 - A large-scale lightweight benchmark for 2D and 3D biomedical image classification (2021) — 1,391 citations
- MedMNIST Classification Decathlon: A Lightweight AutoML Benchmark for Medical Image Analysis (2020) — 441 citations