Yu Sun

Artificial Intelligence · with Zhang · 2017–2020

A researcher in the Science corpus: 3 papers; trusts 137 researchers and is trusted by 10 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 52 citations into it
• Computer Vision and Pattern Recognition — 39 citations into it
• Generative Models — 13 citations into it; #942 of 1,956 by trust here, #1,460 by citations
• Representation & Self-Supervised Learning — 11 citations into it
• Information Systems — 10 citations into it
• Economics and Econometrics — 8 citations into it
• Model Architectures — 7 citations into it
• Optimization & Training — 7 citations into it

Whom Yu Sun trusts overall

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

1. Geoffrey E. Hinton
2. Alex Krizhevsky
3. Steffen Rendle
4. Diederik P. Kingma
5. Yann LeCun
6. Yoshua Bengio
7. Yehuda Koren
8. L. Eon Bottou
9. Ilya Sutskever
10. James H. Stock

Who trusts Yu Sun overall

1. Xiaojie Wang
2. Linfeng Zhang
3. Seyed Iman Mirzadeh
4. Rui Zhang
5. Fei Ye
6. Manish Gupta
7. Divya Saxena
8. Xinting Huang
9. Jianzhong Qi

Papers from Yu Sun's perspective

Ordered by how strongly the researchers Yu Sun 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. Long Short-Term Memory
4. Gradient-based learning applied to document recognition
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Attention is All you Need (Neural Information Processing Systems)
7. ImageNet: A large-scale hierarchical image database
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. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Semi-Supervised Dialogue Policy Learning via Stochastic Reward Estimation (2020) — 21 citations
• KDGAN: Knowledge Distillation with Generative Adversarial Networks (2018) — 191 citations
• Collaborative Intent Prediction with Real-Time Contextual Data (2017) — 68 citations