Yixin Ji

Computer Vision and Pattern Recognition · 2019–2020

A researcher in the Science corpus: 3 papers; trusts 300 researchers and is trusted by 5 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 75 citations into it; #10,918 of 21,575 by trust here, #12,689 by citations
• Artificial Intelligence — 51 citations into it; #26,727 of 35,345 by trust here, #25,809 by citations
• Model Architectures — 15 citations into it
• Representation & Self-Supervised Learning — 7 citations into it
• Aerospace Engineering — 5 citations into it
• Optimization & Training — 5 citations into it

Whom Yixin Ji trusts overall

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

1. Alex Krizhevsky
2. Geoffrey E. Hinton
3. Kaiming He
4. Yann LeCun
5. Yoshua Bengio
6. Ilya Sutskever
7. Karen Simonyan
8. Ross B. Girshick
9. Ruslan Salakhutdinov
10. Diederik P. Kingma

Who trusts Yixin Ji overall

1. Lin Wang
2. Kuk-Jin Yoon
3. Jingwen Ye
4. Xinchao Wang
5. Chengchao Shen
6. Jianping Gou
7. Yiding Yang
8. Yuang Liu

Papers from Yixin Ji's perspective

Ordered by how strongly the researchers Yixin Ji 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. Learning Multiple Layers of Features from Tiny Images
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Data-Free Knowledge Amalgamation via Group-Stack Dual-GAN (2020) — 59 citations
• Amalgamating Filtered Knowledge: Learning Task-customized Student from Multi-task Teachers (2019) — 33 citations
• Student Becoming the Master: Knowledge Amalgamation for Joint Scene Parsing, Depth Estimation, and More (2019) — 86 citations