Cheng Chen

Artificial Intelligence · Computer Vision and Pattern Recognition · 2013–2022

A researcher in the Science corpus: 7 papers; trusts 250 researchers and is trusted by 7 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 135 citations into it; #17,348 of 35,345 by trust here, #12,580 by citations
• Computer Vision and Pattern Recognition — 101 citations into it
• Radiology, Nuclear Medicine and Imaging — 45 citations into it; #1,259 of 3,265 by trust here, #1,299 by citations
• Representation & Self-Supervised Learning — 33 citations into it
• Generative Models — 13 citations into it

Whom Cheng Chen trusts overall

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

1. Geoffrey E. Hinton
2. Kaiming He
3. Alex Krizhevsky
4. Yoshua Bengio
5. Diederik P. Kingma
6. Yann LeCun
7. Qi-Yan Dou
8. Judy Hoffman
9. Ross B. Girshick
10. Ilya Sutskever

Who trusts Cheng Chen overall

1. Mingxia Liu
2. Garrett Wilson
3. Anirudh Choudhary
4. Qi-Yan Dou
5. Diane Joyce Cook
6. Li Tong
7. Hao Chen

Papers from Cheng Chen's perspective

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

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

Their papers

• FedDG: Federated Domain Generalization on Medical Image Segmentation via Episodic Learning in Continuous Frequency Space (2021) — 617 citations
• Synergistic Image and Feature Adaptation: Towards Cross-Modality Domain Adaptation for Medical Image Segmentation (2019) — 374 citations
• MuZero with Self-competition for Rate Control in VP9 Video Compression (2022) — 48 citations
• Federated learning enables big data for rare cancer boundary detection (2022) — 346 citations
• Unsupervised Bidirectional Cross-Modality Adaptation via Deeply Synergistic Image and Feature Alignment for Medical Image Segmentation (2020) — 398 citations
• Unsupervised Cross-Modality Domain Adaptation of ConvNets for Biomedical Image Segmentations with Adversarial Loss (2018) — 329 citations
• CPFD simulation of circulating fluidized bed risers (2013) — 178 citations