Yun Shen

Artificial Intelligence · with Backes · 2016–2023

A researcher in the Science corpus: 2 papers; trusts 15 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 34 citations into it
• Computer Vision and Pattern Recognition — 7 citations into it
• Representation & Self-Supervised Learning — 5 citations into it

Whom Yun Shen trusts overall

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

1. Robert Tibshirani
2. Sugato Basu
3. Deng Cai
4. Xiaofei He
5. Jianbo Shi
6. E.J. Candes
7. Jitendra Malik
8. Zechao Li
9. Terence Tao
10. Mark Newman

Who trusts Yun Shen overall

1. Hongyun Cai

Papers from Yun Shen's perspective

Ordered by how strongly the researchers Yun Shen 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. Gradient-based learning applied to document recognition
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Attention is All you Need (Neural Information Processing Systems)
6. Long Short-Term Memory
7. ImageNet: A large-scale hierarchical image database
8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
9. Going deeper with convolutions
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• "Do Anything Now": Characterizing and Evaluating In-The-Wild Jailbreak Prompts on Large Language Models (2023) — 675 citations
• Partially Supervised Graph Embedding for Positive Unlabelled Feature Selection (2016) — 14 citations