Ying Ding

Artificial Intelligence · with Cheng · 2018

A researcher in the Science corpus: 1 paper; trusts 15 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 22 citations into it; #33,168 of 35,345 by trust here, #23,077 by citations
• Information Systems — 21 citations into it; #7,975 of 8,771 by trust here, #5,078 by citations
• Recommender Systems — 8 citations into it
• Natural Language Processing — 5 citations into it

Whom Ying Ding trusts overall

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

1. David M. Blei
2. Xiangnan He
3. Yehuda Koren
4. Robert M. Bell
5. Yongfeng Zhang
6. Julian McAuley
7. Chong Wang
8. T. Griffiths
9. Geoffrey E. Hinton
10. Yao Wu

Who trusts Ying Ding overall

1. Xuemeng Song
2. Xianjing Han
3. Xiang Wang
4. Fan Liu

Papers from Ying Ding's perspective

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

Their papers

• Aspect-Aware Latent Factor Model: Rating Prediction with Ratings and Reviews (2018) — 322 citations