Mengmeng Zhang

Media Technology · 2018–2022

A researcher in the Science corpus: 3 papers; trusts 109 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

• Media Technology — 46 citations into it; #2,669 of 3,621 by trust here, #1,923 by citations
• Computer Vision and Pattern Recognition — 45 citations into it
• Artificial Intelligence — 29 citations into it
• Atmospheric Science — 26 citations into it; #4,547 of 4,804 by trust here, #2,974 by citations
• Ecology — 11 citations into it
• Representation & Self-Supervised Learning — 11 citations into it
• Model Architectures — 7 citations into it
• Biomedical Engineering — 5 citations into it; #10,183 of 10,734 by trust here, #8,509 by citations

Whom Mengmeng Zhang trusts overall

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

1. Kaiming He
2. Geoffrey E. Hinton
3. Yoshua Bengio
4. Yushi Chen
5. Xavier Glorot
6. Vinod Nair
7. Wei Li
8. Liangpei Zhang
9. Alex Krizhevsky
10. X. Zhang

Who trusts Mengmeng Zhang overall

1. Ji He
2. Zewen Li
3. Shutao Li
4. Sheng Wan
5. Muhammad Ahmad
6. Lina Zhao
7. Fan Liu
8. Weiwei Song
9. Chen Gong
10. Sidrah Shabbir

Papers from Mengmeng Zhang's perspective

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

Their papers

• Diverse Region-Based CNN for Hyperspectral Image Classification (2018) — 533 citations
• Graph Information Aggregation Cross-Domain Few-Shot Learning for Hyperspectral Image Classification (2022) — 310 citations
• HSI-BERT: Hyperspectral Image Classification Using the Bidirectional Encoder Representation From Transformers (2020) — 354 citations