Wenxuan Tu

Artificial Intelligence · 2021–2022

A researcher in the Science corpus: 3 papers; trusts 28 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 124 citations into it
• Computer Vision and Pattern Recognition — 56 citations into it
• Management Science and Operations Research — 17 citations into it

Whom Wenxuan Tu trusts overall

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

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

Papers from Wenxuan Tu's perspective

Ordered by how strongly the researchers Wenxuan Tu 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
3. ImageNet classification with deep convolutional neural networks
4. Attention is All you Need (Neural Information Processing Systems)
5. Long Short-Term Memory
6. ImageNet: A large-scale hierarchical image database
7. Gradient-based learning applied to document recognition
8. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
9. Going deeper with convolutions
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• A Survey of Knowledge Graph Reasoning on Graph Types: Static, Dynamic, and Multi-Modal (2022) — 311 citations
• Scalable Multi-view Subspace Clustering with Unified Anchors (2021) — 332 citations
• Deep Graph Clustering via Dual Correlation Reduction (2021) — 320 citations