Yundong Zhang

Computer Vision and Pattern Recognition · 2017–2021

A researcher in the Science corpus: 3 papers; trusts 302 researchers and is trusted by 14 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 57 citations into it; #10,095 of 21,575 by trust here, #10,500 by citations
• Artificial Intelligence — 50 citations into it; #12,631 of 35,345 by trust here, #12,083 by citations
• Model Architectures — 21 citations into it
• Multimodal Learning — 16 citations into it; #923 of 1,211 by trust here, #1,141 by citations
• Natural Language Processing — 12 citations into it
• Oncology — 10 citations into it
• Question Answering & Reading Comprehension — 6 citations into it; #231 of 335 by trust here, #302 by citations
• Optimization & Training — 5 citations into it

Whom Yundong Zhang trusts overall

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

1. Kaiming He
2. Geoffrey E. Hinton
3. Yoshua Bengio
4. Alex Krizhevsky
5. Ilya Sutskever
6. Diederik P. Kingma
7. Alex Graves
8. Yann LeCun
9. Ross B. Girshick
10. J. Urgen Schmidhuber

Who trusts Yundong Zhang overall

1. Dan Stowell
2. Hong-Yu Zhou
3. Bingzhi Chen
4. Liangzhen Lai
5. Alice Coucke
6. Marcella Cornia
7. Haonan Wang
8. Jeya Maria Jose Valanarasu
9. Manuele Rusci
10. Ali Hatamizadeh

Papers from Yundong Zhang's perspective

Ordered by how strongly the researchers Yundong Zhang 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Attention is All you Need (Neural Information Processing Systems)
5. Long Short-Term Memory
6. ImageNet: A large-scale hierarchical image database
7. Gradient-based learning applied to document recognition
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

• Interpretable Visual Question Answering by Visual Grounding From Attention Supervision Mining (2018) — 75 citations
• TransFuse: Fusing Transformers and CNNs for Medical Image Segmentation (2021) — 1,457 citations
• Hello Edge: Keyword Spotting on Microcontrollers (2017) — 505 citations