Shiwan Zhao

Artificial Intelligence · 2010–2023

A researcher in the Science corpus: 5 papers; trusts 165 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 91 citations into it; #29,846 of 35,345 by trust here, #17,412 by citations
• Computer Vision and Pattern Recognition — 76 citations into it
• Model Architectures — 22 citations into it
• Information Systems — 14 citations into it; #7,076 of 8,771 by trust here, #4,341 by citations
• Optimization & Training — 14 citations into it
• Safety, Robustness & Interpretability — 12 citations into it
• Privacy & Security — 10 citations into it

Whom Shiwan Zhao trusts overall

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

1. Alex Krizhevsky
2. Kaiming He
3. Diederik P. Kingma
4. Geoffrey E. Hinton
5. Cynthia Dwork
6. Yoshua Bengio
7. Yann LeCun
8. Karen Simonyan
9. Ilya Sutskever
10. Jimmy Ba

Who trusts Shiwan Zhao overall

1. Charu C. Aggarwal
2. Sophie Ahrens
3. Ying Zhao
4. Xiangnan He

Papers from Shiwan Zhao's perspective

Ordered by how strongly the researchers Shiwan Zhao 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. Long Short-Term Memory
5. Gradient-based learning applied to document recognition
6. Attention is All you Need (Neural Information Processing Systems)
7. ImageNet: A large-scale hierarchical image database
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. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• S2DNAS: Transforming Static CNN Model for Dynamic Inference via Neural Architecture Search (2019) — 33 citations
• Temporal recommendation on graphs via long- and short-term preference fusion (2010) — 410 citations
• P3SGD: Patient Privacy Preserving SGD for Regularizing Deep CNNs in Pathological Image Classification (2019) — 45 citations
• Better Zero-Shot Reasoning with Role-Play Prompting (2023) — 430 citations
• Improving Captioning for Low-Resource Languages by Cycle Consistency (2019) — 8 citations