Zhen Tan

Artificial Intelligence · with Jiang · 2021–2024

A researcher in the Science corpus: 2 papers; trusts 36 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 97 citations into it; #31,377 of 35,345 by trust here, #33,294 by citations
• Computer Vision and Pattern Recognition — 28 citations into it; #19,278 of 21,575 by trust here, #20,756 by citations
• Meta & Continual Learning — 12 citations into it
• Representation & Self-Supervised Learning — 12 citations into it
• Graph Learning — 9 citations into it

Whom Zhen Tan trusts overall

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

1. Geoffrey E. Hinton
2. Alex Krizhevsky
3. Kaiming He
4. Yoshua Bengio
5. Diederik P. Kingma
6. Yann LeCun
7. L. V. D. van der Maaten
8. Ross B. Girshick
9. Ilya Sutskever
10. Chelsea Finn

Who trusts Zhen Tan overall

1. Jaya Kalla
2. Song Tian
3. Soma Biswas

Papers from Zhen Tan's perspective

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

Their papers

• From Generation to Judgment: Opportunities and Challenges of LLM-as-a-judge (2024) — 579 citations
• Graph Few-shot Class-incremental Learning (2021) — 74 citations