Wentao Zhu

Computer Vision and Pattern Recognition · with Xie · 2016–2022

A researcher in the Science corpus: 7 papers; trusts 365 researchers and is trusted by 29 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 81 citations into it; #5,403 of 21,575 by trust here, #4,988 by citations
• Artificial Intelligence — 79 citations into it; #7,328 of 35,345 by trust here, #6,014 by citations
• Radiology, Nuclear Medicine and Imaging — 28 citations into it; #617 of 3,265 by trust here, #1,253 by citations
• Model Architectures — 16 citations into it
• Pulmonary and Respiratory Medicine — 16 citations into it
• Representation & Self-Supervised Learning — 13 citations into it; #1,328 of 3,145 by trust here, #1,204 by citations
• Evaluation & Benchmarks — 10 citations into it
• Safety, Robustness & Interpretability — 9 citations into it

Whom Wentao Zhu trusts overall

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

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

Who trusts Wentao Zhu overall

1. Jun Liu
2. Qiuhong Ke
3. Pichao Wang
4. Amir Shahroudy
5. Xiaohui S. Xie
6. Pengfei Zhang
7. Cuiling Lan
8. G. Wang
9. Zhengwei Wang
10. Daniel Quang

Papers from Wentao Zhu's perspective

Ordered by how strongly the researchers Wentao Zhu 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. Long Short-Term Memory
7. Attention is All you Need (Neural Information Processing Systems)
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

• Co-Occurrence Feature Learning for Skeleton Based Action Recognition Using Regularized Deep LSTM Networks (2016) — 926 citations
• Deep Multi-instance Networks with Sparse Label Assignment for Whole Mammogram Classification (2016) — 301 citations
• Anti-Retroactive Interference for Lifelong Learning (2022) — 30 citations
• Privacy-preserving Federated Brain Tumour Segmentation (2019) — 562 citations
• AnatomyNet: Deep learning for fast and fully automated whole‐volume segmentation of head and neck anatomy (2018) — 492 citations
• DeepLung: Deep 3D Dual Path Nets for Automated Pulmonary Nodule Detection and Classification (2018) — 429 citations
• Adversarial Deep Structural Networks for Mammographic Mass Segmentation (2016) — 69 citations