Tsang-Wei Edward Lee

Artificial Intelligence · 2020–2025

A researcher in the Science corpus: 2 papers; trusts 6 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 21 citations into it
• Reinforcement Learning — 16 citations into it

Whom Tsang-Wei Edward Lee trusts overall

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

1. Diederik P. Kingma

Papers from Tsang-Wei Edward Lee's perspective

Ordered by how strongly the researchers Tsang-Wei Edward Lee trusts endorse each paper. Same corpus, a different order for every researcher.

1. Auto-Encoding Variational Bayes (International Conference on Learning Representations)
2. Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
3. Proximal Policy Optimization Algorithms (arXiv.org)
4. ImageNet classification with deep convolutional neural networks
5. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
6. Long Short-Term Memory
7. Gradient-based learning applied to document recognition
8. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
9. Attention is All you Need (Neural Information Processing Systems)
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• Learning Agile Robotic Locomotion Skills by Imitating Animals (2020) — 669 citations
• Gemini Robotics: Bringing AI into the Physical World (2025) — 385 citations