Chaoqi Chen

Artificial Intelligence · 2018–2020

A researcher in the Science corpus: 2 papers; trusts 226 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 73 citations into it
• Computer Vision and Pattern Recognition — 64 citations into it
• Representation & Self-Supervised Learning — 43 citations into it
• Radiology, Nuclear Medicine and Imaging — 14 citations into it

Whom Chaoqi Chen trusts overall

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

1. Mingsheng Long
2. Kaiming He
3. Geoffrey E. Hinton
4. Alex Krizhevsky
5. Yoshua Bengio
6. Ross B. Girshick
7. Yann LeCun
8. Diederik P. Kingma
9. Ilya Sutskever
10. Shaoqing Ren

Who trusts Chaoqi Chen overall

1. Wen Zhang
2. Serban Stan
3. Jinhong Deng
4. Qiming Zhang
5. Mohammad Rostami
6. Mei Wang
7. Yu-Jhe Li
8. Lingfei Deng
9. Wen Li

Papers from Chaoqi Chen's perspective

Ordered by how strongly the researchers Chaoqi 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. Going deeper with convolutions

Their papers

• Progressive Feature Alignment for Unsupervised Domain Adaptation (2018) — 481 citations
• Harmonizing Transferability and Discriminability for Adapting Object Detectors (2020) — 335 citations