Tong Wei

Artificial Intelligence · with Li · 2019–2021

A researcher in the Science corpus: 2 papers; trusts 4 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 18 citations into it; #25,195 of 35,345 by trust here, #32,362 by citations
• Evaluation & Benchmarks — 6 citations into it
• Information Systems — 5 citations into it

Whom Tong Wei trusts overall

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

1. Min-Ling Zhang
2. Zhi-Hua Zhou
3. Kush Bhatia
4. Himanshu Jain
5. Zhen Wang
6. Rong-En Fan
7. Hsiang-Fu Yu
8. Chih-Kuan Yeh
9. Purushottam Kar
10. Manik Varma

Who trusts Tong Wei overall

1. Zhen Wang
2. Liu Liu
3. Yiqun Duan

Papers from Tong Wei's perspective

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

Their papers

• Probabilistic Label Tree for Streaming Multi-Label Learning (2021) — 15 citations
• Learning for Tail Label Data: A Label-Specific Feature Approach (2019) — 21 citations