Zhengwei Tao

Artificial Intelligence · 2018–2024

A researcher in the Science corpus: 2 papers; trusts 4 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 107 citations into it

Whom Zhengwei Tao trusts overall

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

1. Diederik P. Kingma
2. Geoffrey E. Hinton

Who trusts Zhengwei Tao overall

1. Gyuhak Kim
2. Wenpeng Hu

Papers from Zhengwei Tao's perspective

Ordered by how strongly the researchers Zhengwei Tao 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. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
4. Distilling the Knowledge in a Neural Network (arXiv.org)
5. Auto-Encoding Variational Bayes (International Conference on Learning Representations)
6. Gradient-based learning applied to document recognition
7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
8. Attention is All you Need (Neural Information Processing Systems)
9. Long Short-Term Memory
10. ImageNet: A large-scale hierarchical image database

Their papers

• LLMs Are Also Effective Embedding Models: An In-depth Overview (2024)
• Overcoming Catastrophic Forgetting for Continual Learning via Model Adaptation (2018) — 150 citations