Xiaohong Huang

Computer Vision and Pattern Recognition · IEEE Transactions on Industrial Informatics · 2020–2022

A researcher in the Science corpus: 6 papers; trusts 309 researchers and is trusted by 6 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 76 citations into it; #19,034 of 21,575 by trust here, #16,787 by citations
• Artificial Intelligence — 61 citations into it; #24,186 of 35,345 by trust here, #13,544 by citations
• Model Architectures — 29 citations into it
• Radiology, Nuclear Medicine and Imaging — 19 citations into it; #2,482 of 3,265 by trust here, #2,536 by citations

Whom Xiaohong Huang trusts overall

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

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

Who trusts Xiaohong Huang overall

1. Dinh C. Nguyen
2. Kaiwen Zhang
3. Reza Azad
4. Ming Ding
5. Dong Liu
6. Pubudu N. Pathirana
7. Xuefei Yin
8. Khaled Ben Letaief

Papers from Xiaohong Huang's perspective

Ordered by how strongly the researchers Xiaohong Huang 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. Attention is All you Need (Neural Information Processing Systems)
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. ImageNet: A large-scale hierarchical image database
6. Long Short-Term Memory
7. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
8. Gradient-based learning applied to document recognition
9. ImageNet Large Scale Visual Recognition Challenge
10. Going deeper with convolutions

Their papers

• Blockchain Empowered Asynchronous Federated Learning for Secure Data Sharing in Internet of Vehicles (2020) — 600 citations
• Differentially Private Asynchronous Federated Learning for Mobile Edge Computing in Urban Informatics (2020) — 315 citations
• MISSFormer: An Effective Transformer for 2D Medical Image Segmentation (2022) — 453 citations
• MISSFormer: An Effective Medical Image Segmentation Transformer (2021) — 302 citations
• Low-Latency Federated Learning and Blockchain for Edge Association in Digital Twin Empowered 6G Networks (2020) — 440 citations
• Blockchain and Federated Learning for Privacy-Preserved Data Sharing in Industrial IoT (2020) — 1,049 citations