Mengqi Xue

Computer Vision and Pattern Recognition · 2019–2022

A researcher in the Science corpus: 2 papers; trusts 269 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 60 citations into it
• Artificial Intelligence — 58 citations into it
• Model Architectures — 16 citations into it
• Representation & Self-Supervised Learning — 13 citations into it
• Efficiency & Compression — 9 citations into it
• Optimization & Training — 9 citations into it

Whom Mengqi Xue trusts overall

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

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

Who trusts Mengqi Xue overall

1. Anurag Roy
2. Lin Wang
3. Jianping Gou

Papers from Mengqi Xue's perspective

Ordered by how strongly the researchers Mengqi Xue 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. ImageNet: A large-scale hierarchical image database
5. Attention is All you Need (Neural Information Processing Systems)
6. Gradient-based learning applied to document recognition
7. Long Short-Term Memory
8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
9. ImageNet Large Scale Visual Recognition Challenge
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• Meta-attention for ViT-backed Continual Learning (2022) — 66 citations
• Customizing Student Networks From Heterogeneous Teachers via Adaptive Knowledge Amalgamation (2019) — 65 citations