Jiacheng Ruan

Computer Vision and Pattern Recognition · 2022–2024

A researcher in the Science corpus: 2 papers; trusts 74 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 47 citations into it
• Artificial Intelligence — 30 citations into it
• Model Architectures — 20 citations into it
• Radiology, Nuclear Medicine and Imaging — 19 citations into it
• Optimization & Training — 6 citations into it

Whom Jiacheng Ruan trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Kaiming He
2. Olaf Ronneberger
3. Geoffrey E. Hinton
4. Alex Krizhevsky
5. Ilya Loshchilov
6. Alexey Dosovitskiy
7. Diederik P. Kingma
8. Yoshua Bengio
9. Ross B. Girshick
10. Yann LeCun

Who trusts Jiacheng Ruan overall

1. Tao Huang
2. Dingkang Liang
3. Xiaohuan Pei

Papers from Jiacheng Ruan's perspective

Ordered by how strongly the researchers Jiacheng Ruan trusts endorse each paper. Same corpus, a different order for every researcher.

1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
2. ImageNet classification with deep convolutional neural networks
3. Attention is All you Need (Neural Information Processing Systems)
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. ImageNet: A large-scale hierarchical image database
6. Gradient-based learning applied to document recognition
7. Long Short-Term Memory
8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
9. Going deeper with convolutions
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• VM-UNet: Vision Mamba UNet for Medical Image Segmentation (2024) — 971 citations
• MALUNet: A Multi-Attention and Light-weight UNet for Skin Lesion Segmentation (2022) — 335 citations